Making Value Chains Work Better For The Poor
Making Value Chains Work Better For The Poor
Making Value Chains Work Better For The Poor
December 2008
i
Reference:
M4P (2008) Making Value Chains Work Better for the Poor: A Toolbook for Practitioners of
Value Chain Analysis, Version 3. Making Markets Work Better for the Poor (M4P) Project, UK
Department for International Development (DFID). Agricultural Development International:
Phnom Penh, Cambodia.
Department For International Development (DFID)
1 Palace Street
London SW1E 5HE
United Kingdom
www.dd.gov.uk
Publishers:
Agricultural Development International
(Cambodia Representative Ofce)
No. 38, Street 306
Sangkat Boeung Keng Kang I
Khan Chamkar Morn
Phnom Penh, Cambodia
Disclaimer:
The views and opinions of the authors expressed in this publication do not necessarily state
or reect those of DFID.
Photo credits:
Courtesy of SNV, GTZ and ADI
December 2008
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Foreword
This toolbook is the result of a concerted effort of a large number of people. Currently in its
third version, substantial updates have been made since 2005 when this toolbook was first
envisaged. This version of the toolbook has benefited enormously from the establishment
of a network of collaborators from around the world (currently 73 persons) who have
contributed to the wikibook hosted at www.valuechains4poor.org. While the wikibook is
a continually evolving resource, version 3 of this toolbook presents the state of the book as
at 30 November 2008.
The working group of authors would like to gratefully acknowledge the support of the many
people who contributed to the conception and preparation of this toolbook. These include
Alan Johnson from the Department for International Development (DFID), Thomas
Finkel and the staff of the Gesellschaft fűr Technische Zusammenarbeit – Development
of Small and Medium Enterprises (GTZ-SME) promotion project, Kees van der Ree, Bas
Rozemuller and Ingrid Hultquist of the ILO-PRISED (International Labour Organisation
- Poverty Reduction through Integrated Small Enterprise Development Project) project.
The members of the Editorial Board contributing to the development of this toolbook are
listed below.
iii
Table of Contents
Foreword
Table of Contents .............................................................................................................................................. iv
List of gures .................................................................................................................................................... vii
List of tables..................................................................................................................................................... viii
List of boxes .......................................................................................................................................................ix
List of Abbreviations .........................................................................................................................................x
PART 1 – CONCEPTS
1 Denition ......................................................................................................................................................7
2 Value Chain Main Concepts ......................................................................................................................8
Filière ...........................................................................................................................................................8
Porter’s Framework ....................................................................................................................................9
The Global Approach ............................................................................................................................. 10
3 A Pro-Poor Entry Point into Value Chain Analysis .............................................................................. 11
iv
Step 10 Mapping constraints and potential solutions .............................................................. 42
Step 11 Making a value chain map matrix .............................................................................. 43
5. What Should be Known after Analysis is Complete ................................................................. 44
v
Step 6 Analyse which services should be provided to assist the upgrading and
who are the potential available service providers ............................................................ 87
5. What Should be Known after Analysis is Complete ......................................................................... 88
REFERENCES ..................................................................................................................................................143
vi
List of Figures
vii
List of Tables
Table 1: Tools for analysing various dimensions of the value chain ...................................................2
Table 2: Examples of different points of entry for value chain research. ..................................... 15
Table 3: MPDF sub-sector selection criteria for value chain identification ..................................... 23
Table 4: NESDB sub-sector selection criteria for value chain identification ................................... 23
Table 5: Matrix ranking of products by scoring .................................................................................. 24
Table 6: Participatory commodity priority setting exercise results .................................................. 25
Table 7: An example of mapping constraints and possible solutions .............................................. 42
Table 8: Information transferred to final matrix ................................................................................. 44
Table 9: Types of rules and standards affecting value chains......................................................... 55
Table 10: Example of matrix for actors and regulations. .................................................................. 57
Table 11: Example of farmer marketing school grading table (yard long bean in
Kampot, Cambodia) ................................................................................................................. 59
Table 12: External actors assisting firms to meet value chain rules ................................................... 60
Table 13: Extract from a survey questionnaire on value chain linkages in the Bangladesh
shrimp industry .......................................................................................................................... 68
Table 14: Identifying the key governors in the chain............................................................................ 70
Table 15: Differences between chains characterised by low and high levels of trust ................... 71
Table 16: Example of matrix of trust levels between actors .............................................................. 72
Table 17: Example of knowledge and technology matrix - cassava production and processing . 77
Table 18: Examples of questions that can be asked to the different actors in the value chain ... 78
Table 19: Product standards table with specified visible key features and grades ...................... 79
Table 20: Matrix for market channel analysis of poultry .................................................................... 82
Table 21: Example – upgrading possibilities matrix for Longan ....................................................... 84
Table 22: Example of different technology options available relative to investment levels ........ 85
Table 23: Important issues to consider when selecting the best potential upgrading
options for the poor .................................................................................................................. 86
Table 24: Overview of potential services for upgrading .................................................................... 87
Table 25: Examples of costs in a value chain......................................................................................... 95
Table 26: A virtual example of costs for milk collection centres and dairy plant........................... 97
Table 27: An example of presenting cost compilation across actors in the value chain ..............100
Table 28: Calculation of marketing margins – formulas for calculating ratios..............................103
Table 29: Calculation of marketing margins - example of presenting a calculation of
value chain margins ................................................................................................................104
Table 30: Cotton crop budgets for smallholder farmers in Zambia ...............................................107
Table 31: Costs, revenues and margins for rice farming ..................................................................108
Table 32: Example of income distribution along the value chain for silk in Thailand .................114
Table 33: Estimates of family commercial farmers’ incomes compared with subsistence
income .....................................................................................................................................115
Table 34: A virtual example of calculation of total wage costs for a farmer to process
50 tonnes of vegetables .......................................................................................................117
Table 35: Distribution of incomes and profits in the Zambian cotton value chain .........................117
Table 36: Source of farm family incomes in Lao PDR - average percentage reported .............121
Table 37: Income distribution and employment across value chains in Zambia ............................123
Table 38: Estimation of incomes of various actors of the vegetable chains (USD) .......................125
Table 39: Distribution of incomes from onion production in Niger to retail sale in Abidjan
in 1995 .....................................................................................................................................126
Table 40: Average utilisation of labour by livelihood activities in Lao PDR ....................................133
Table 41: Example of analysing the number of actors at each level of the chain .....................135
viii
Table 42: Income distribution and employment across value chains in Zambia ............................137
Table 43: Seasonal labour patterns in Houysan Village, Savannakhet Province, Lao PDR.........139
Table 44: Average use of labour (%) by livelihood activities - poor families in Houysan
Village, Lao PDR ......................................................................................................................140
List of Boxes
ix
List of Abbreviations
x
A Toolbook for Practitioners of Value Chain Analysis
One of the basic assumptions for using this toolbook is that the starting point of the
value chain analysis is market development aimed at making an impact on the poor by
providing them with better income or employment security through market participation.
This means that farmers/producers are not looked upon as small surplus sellers from within
a self-sufficiency strategy but rather as commercial (micro-) entrepreneurs for whom
participation in the market is a deliberate and focused choice.
The second section contains eight practical value chain analysis tools that can be used to
analyse different dimensions within value chains; see Table 1.
Part 1 Introduction
– Concepts 1
A Toolbook for Practitioners of Value Chain Analysis
2
Table 1: Tools for analysing various dimensions of the value chain.
The eight tools presented in the toolbook relate more closely with some dimensions than others, as indicated by a greater number of
ticks for that association.
Part 1 – Concepts
General Tools Qualitative Tools Quantitative Tools
Tool 1 Tool 2 Tool 3 Tool 4 Tool 5 Tool 6 Tool 7 Tool 8
Prioritising Value Mapping of the Value Governance: Linkages, Relationship Analysing Options for Analysing Costs and Analysing Income Analysing Employment
Making Value Chains Work Better for the Poor
Chains for Analysis Chains Coordination, and Trust Demand Driven Upgrading: Margins Distribution Distribution
Dimensions Regulation and Knowledge, Skills, Technology
Control and Support Services
2 Introduction
A Toolbook for Practitioners of Value Chain Analysis
Terminology: dimension
Dimension in this toolbook means an area of interest or focus for the
analysis. For example, a specific dimension targeted in this toolbook is
the participation of the poor.
The eight tools are grouped in three sub-sets. The first sub-set contains two general tools
on value chain selection and mapping of value chains. The second sub-set contains three
qualitative tools to analyse the governance structure, linkages, and opportunities for
upgrading. The third sub-set contains three quantitative tools to analyse costs and margins,
income distribution and employment distribution.
Specific examples of the use of these different tools in value chain analysis appear in the
toolbook as boxes, or are presented at the end of each tool. Other important points in the
toolbook are highlighted with the following icons:
1
Take Note Terminology Warning Try This Idea
Table 1 shows various dimensions of pro-poor value chain analysis and the tools that could
be utilised to analyse those dimensions. The relevance of each tool to a specific dimension
is indicated by the number of ticks; the greater the number of ticks (to a maximum of three
ticks), the more relevant the tool is for analysing that particular dimension.
Part 1 Introduction
– Concepts 3
Making Value Chains Work Better for the Poor
Pro-poor growth has been chosen as the main objective of value chain analysis in this
toolbook. Therefore, the focus of the analysis should be on gaining a good understanding
of the context in which producers and/or small traders operate as participants of the value
chain. In chains that are in an early stage of development the same persons often carry out
these two functions. It should be taken into account also that actors at the producer/trader
level are often involved in more than just the single activity that is being analysed.
Terminology: actor
The term actor refers to any person (e.g. farmer, trader, supplier, buyer)
who plays a role in the value chain.
Once the direct context of the activity to be analysed is understood, it becomes important
to look at the wider environment in which the value chain operates. For example, the
broad government economic policies and the extent to which pro-poor policies have
been integrated into and are in tune with these broader government policies, rather than
standing on their own.
Once the value chain analysis has been completed it is important to decide which of
possible interventions identified are realistic in the sense that there is a genuine possibility
of implementing such interventions, and what the timeframe of implementation could
be.
4 Part
Introduction
1 – Concepts
PART 1 CONCEPTS
PART 2 - VALUE CHAIN
ANALYSIS TOOLS -
GENERAL TOOLS
PART 3 - VALUE CHAIN
ANALYSIS TOOLS
- QUALITATIVE
TOOLS
PART 4 - VALUE CHAIN
ANALYSIS TOOLS
- QUANTITATIVE
TOOLS
A Toolbook for Practitioners of Value Chain Analysis
1
PART 1 – CONCEPTS
Contents
1 Denition ..............................................................................................................7
2 Value Chain Main Concepts ..............................................................................8
Filière ..............................................................................................................8
Porter’s Framework ............................................................................................9
The Global Approach ..................................................................................... 10
3 A Pro-Poor Entry Point into Value Chain Analysis....................................... 11
Part 1 – Concepts 5
Making Value Chains Work Better for the Poor
6 Part 1 – Concepts
A Toolbook for Practitioners of Value Chain Analysis
Concepts
1 Denition
The idea of value chain is quite intuitive. The term value chain refers to the full range
of activities that are required to bring a product (or a service) from conception through
the different phases of production to delivery to final consumers and disposal after use
(Kaplinsky 1999; Kaplinsky and Morris 2001). Further, a value chain exists when all of
the actors in the chain operate in a way that maximises the generation of value along the
chain.
In the narrow sense, a value chain includes the range of activities performed within a
1
firm to produce a certain output. This might include the conception and design stage, the
process of acquisition of input, the production, the marketing and distribution activities,
and the performance of after-sale services. All of these activities constitute the ‘chain’ which
links producers to consumers and each activity adds ‘value’ to the final product.
For example, the availability of post-sale assistance and repair services for a mobile phone
company increases the overall value of the product as a consumer may be willing to pay
a higher price for a mobile phone that has a good after-sale service. The same is true for
an innovative design or for a highly controlled production. For example, in agribusiness
enterprises an appropriate system of storing fresh raw materials (e.g. fruits) positively
impacts on the quality of the final product and, consequently, increases its value.
The broad approach of defining a value chain looks at the complex range of activities
implemented by various actors (primary producers, processors, traders, service providers)
to bring a raw material through a chain to the sale of the final product. The ‘broad’ value
chain starts from the production system of the raw materials and will move along the
linkages with other enterprises engaged in trading, assembling, processing, etc.
The broad approach does not only look at the activities implemented by a single enterprise.
Rather, it includes all its backward and forward linkages, until the level in which the raw
material is produced will be linked to the final consumers. In the remaining part of this
handbook, the term ‘value chain’ will refer exclusively to this broad definition.
The concept of value chain encompasses the issues of organisation and coordination, the
strategies and the power relationships of the different actors in the chain. These and other
relevant issues will be discussed in this toolbook. For now it is important to understand
that conducting a value chain analysis requires a thorough investigation of what is going on
between the actors in a chain, what keeps these actors together, what information is shared,
and how the relationships between actors is evolving.
In addition, the idea of value chain is associated with the concept of governance, which is
of key importance for those researchers interested in the social or environmental facets of
value chain analysis. The establishment (or the evolution) of value chains may put pressure
on natural resources (such as water or land) which may produce degradation of the soil,
loss of biodiversity or pollution. Additionally, the development of value chains might affect
Part 1 – Concepts 7
Making Value Chains Work Better for the Poor
social ties and traditional norms. For example, power relationships within households or
communities may be modified or the vulnerable or poorest population groups may be
negatively affected by the operations of value chain participants.
These concerns are highly relevant to agricultural value chains because agricultural value
chains are critically dependant on environmental resources. Also, the agricultural sector is
often characterised by the prevalence of traditional social norms. Finally, due to the high
incidence of the poor in the agricultural sector, the value chain framework can be used to
draw conclusions on the participation of the poor and the potential impact of value chain
development on poverty reduction.
Filière
The ‘filière’ approach (filière means thread or chain) includes various schools of thought
and research traditions. Initially, the approach was used to analyse the agricultural system
of developing countries under the French colonial system. The analysis mainly served as
a tool to study the ways in which the agricultural production systems (especially rubber,
cotton, coffee and cocoa) were organised in the context of developing countries. In this
context, the filière framework paid special attention to how local production systems were
linked to processing industry, trade, export and final consumption.
The filière concept has therefore always encompassed a strong empirical perspective
which was used to map the flow of commodities and to identify actors and activities.
The rationale of the filière is similar to the broader concept of value chain presented
above. However, the filière mainly focused on issues of physical and quantitative technical
relationships, summarised in flow-charts of commodities and mapping of transformation
relationship.
There are two strands of filière approach which share some insights with value chain
analysis:
the economic and financial evaluation of filières (presented in Duruflé, Fabre and
Yung (1988) and used in a number of French-funded development projects in the
1980s and 1990s), focuses on income generation and distribution in the commodity
chain, and separates costs and incomes between local and internationally-traded
components to analyse the spill-over of the chain onto the national economy and
its contribution to GDP along the “effect method” (“méthode des effets”).
8 Part 1 – Concepts
A Toolbook for Practitioners of Value Chain Analysis
Porter’s Framework
The second research stream refers to the work of Porter (1985) on competitive advantages.
Porter has used the framework of value chains to assess how a firm should position itself
in the market and in the relationship with suppliers, buyers and competitors. The idea
of competitive advantage of an enterprise can be summarised as follows: how can a firm
provide customers with a product or service of equivalent value compared with competitors,
but at lower cost (strategy of cost reduction)? Alternatively, how can an enterprise produce
1
a product or service that customers are willing to pay a higher price for (strategy of
differentiation)?
In Porter’s (1985) framework the value chain provides a tool that firms can use to determine
their source (current or potential) of competitive advantage. In particular, Porter argued
that the sources of competitive advantage cannot be detected by looking at the firm as
a whole. Rather, the firm should be separated into a series of activities and competitive
advantage found in one (or more) of such activities. Porter distinguishes between primary
activities, which directly contribute to add value to the production of the product or
services and support activities, which have an indirect effect on the final value of the
product.
In the framework of Porter the concept of value chain does not coincide with the idea of
physical transformation. Porter introduced the idea that a firm’s competitiveness does not
relate exclusively to the production process. Enterprise competitiveness can be analysed by
looking at the value chain which includes product design, input procurement, logistics,
outbound logistics, marketing, sales, after-sales and support services such as strategic
planning, human resources management and research activities.
In Porter’s framework the concept of value chain therefore has a strict business application.
Consequently, value chain analysis mainly aims at supporting management decision and
executive strategies. For example, a value chain analysis of a supermarket in Europe may
point out that the competitive advantage of such a supermarket over competitors is the
availability of exotic vegetables. Detecting the source of competitive advantage is valuable
information for business purposes. Following on this finding, the supermarket is likely to
strengthen the relationship with producers of exotic fruits and advertisement campaigns
will pay special attention to such issues.
Part 1 – Concepts 9
Making Value Chains Work Better for the Poor
Firm infrastructure
Human resource management
Technology development
Procurement
n
gi
Inbound Outbound Marketing Service
ar
Opperation
M
logistics logistics and sales
Primary activities
Kaplinsky and Morris (2001) observed that in the course of globalisation, there has been a
perception (usually well-justified) that the gap in incomes within and between countries has
increased. They argue that value chain analysis can help to explain this process, particularly
in a dynamic perspective.
10 Part 1 – Concepts
A Toolbook for Practitioners of Value Chain Analysis
Firstly, by mapping the range of activities along a chain, a value chain analysis breaks down
total value chain earnings into the rewards that are achieved by different parties in the
chain. This method will be introduced in the second part of this toolbook. A value chain
analysis is the most accurate way of understanding the distribution of earnings. Other ways
of viewing global distributional patterns provide only partial insights into these areas. For
example, trade statistics only provide data on aggregate, gross returns rather than on net
earnings, and branch-specific analyses (agriculture, industry, services) only capture part of
the story.
Secondly, a value chain analysis can show how firms, regions and countries are linked to the
global economy. This will largely determine the distributional outcomes of global production
systems and the capacity which individual producers have to build in order to upgrade their
operations and thus to launch themselves onto a path of sustainable income growth.
In the value chain framework international trade relations are considered part of networks
of producers, exporters, importers, and retailers, whereby knowledge and relationships are
developed to gain access to markets and suppliers. In this context, the success of developing
countries and market actors in developing country lies in the ability of accessing these
networks.
Examples of desired development outcomes could include: increasing the level of exports,
generating maximum employment, benefiting a particular group in society, using locally
produced raw materials, or concentrating development benefits in underdeveloped or
disadvantaged regions of a country. The entry point, and therefore the concentration
of the value chain analysis, is directly related to the desired development outcome from
supporting the value chain.
The entry point and orientation of value chain analysis in this toolbook is making value
chains work better for the poor. Therefore, the tools used in the analysis are oriented
toward analysing the value chain from the point of view of the poor. The final objectives of
improving value chains for the poor are two-fold. The first is to increase the total amount
and value of products that the poor sell in the value chain. This results in higher absolute
incomes for the poor as well as for the other actors in the value chain. The second objective
is to sustain the share of the poor in the sector or increase the margins per product, so that
Part 1 – Concepts 11
Making Value Chains Work Better for the Poor
the poor do not only gain more absolute income but also relative income compared to the
other actors in the value chain; see Figure 3. This is shown as T = 2 and can be defined as
pro-poor growth.
Poor Poor
Poor
The value chain approach is mainly a descriptive tool to look at the interactions between
different actors. One advantage of value chain analysis is that it forces the analyst to consider
both the micro and macro aspects of production and exchange activities. The commodity-
based analysis can provide better insights into the organisational structures and strategies of
different actors and an understanding of economic processes which are often studied only
at the global level (often ignoring local differentiation of processes) or at the national/local
levels (often diminishing the larger forces that shape socio-economic change and policy
making).
Kaplinsky and Morris (2001) stress that there is no “correct” way to conduct a value-
chain analysis; rather, the approach taken fundamentally depends on the question that is
being asked. However, four aspects of value-chain analysis of agriculture are particularly
important.
First, at its most basic level, a value-chain analysis systematically maps the actors
participating in the production, distribution, marketing, and sales of a particular product
(or products). This mapping assesses the characteristics of actors, profit and cost structures,
flows of goods throughout the chain, employment characteristics, and the destination and
volumes of domestic and foreign sales (Kaplinsky and Morris 2001). Such details can be
gathered from a combination of primary survey work, focus groups, participatory rural
appraisals (PRAs), informal interviews, and secondary data.
Second, value-chain analysis can play a key role in identifying the distribution of benefits
of actors in the chain. That is, through the analysis of margins and profits within the
chain, it is possible to determine who benefits from participation in the chain and which
actors could benefit from increased support or organisation. This is particularly important
in the context of developing countries (and agriculture in particular), given concerns that
the poor in particular are vulnerable to the process of globalisation (Kaplinsky and Morris
2001). One can supplement this analysis by determining the nature of participation within
the chain to understand the characteristics of its participants.
12 Part 1 – Concepts
A Toolbook for Practitioners of Value Chain Analysis
Third, value-chain analysis can be used to examine the role of upgrading within the
chain. Upgrading can involve improvements in quality and product design or diversification
in the product lines served, allowing producers to gain higher value. An analysis of the
upgrading process includes an assessment of the profitability of actors within the value
chain as well as information on limitations that are currently present. Governance issues (see
below) play a key role in defining how such upgrading occurs. In addition, the structure of
regulations, entry barriers, trade restrictions, and standards can further shape and influence
the environment in which upgrading can take place.
Finally, value-chain analysis highlights the role of governance in the value-chain, which
can be internal or external. Governance within a value-chain refers to the structure of
relationships and coordination mechanisms that exist between actors in the value-chain.
Governance is a broad concept which basically ensures that interactions between chain
participants are organised, rather than being simply random. Generally speaking, governance
within the chain occurs when some actors in the chain work to criteria set by other actors
in the chain, for example quality standards or delivery times and volumes set by processing
industries. Commercial rules that govern commercial relationships in global or local value
chains may constrain or restrict the role of the poor, but also may create important learning
and upgrading opportunities. Commercial rules can be very specific (codified), e.g. clearly
set and described quality grades of agricultural produce with corresponding transparent
prices or pricing formulas.
1
External governance is important from a policy perspective by identifying the institutional
arrangements that may need to be targeted to improve capabilities in the value-chain (e.g.
research), remedy distributional distortions, and increase value-added in the sector. External
governance also relates to chain specific legislation and regulation, but also describes general
public sector interventions relevant to value chain development.
Figure 4 illustrates the methodology used in value-chain analysis. At the heart of the
analysis is the mapping of sectors and key linkages. The value-added of the value-chain
approach, however, comes from assessing these intra- and inter-actor linkages through
the lens of issues of governance, upgrading, and distributional considerations. By
systematically understanding these linkages within a network, one can better prescribe
policy recommendations and, moreover, further understand their impact on the chain.
Value chains are complex, and particularly in the middle levels, one firm may feed into
several of chains. Which chain (or chains) is the subject of enquiry depends on the point of
entry for the research inquiry. Table 2 lists some possible points of entry.
In each case, the point of entry defines which links and which activities in the chain are the
subject of further enquiry. For example, if the focal point of the enquiry is in the design
and branding activities in the chain, then the point of entry might be on design houses, or
the branding function in key global marketing companies. This will require the research to
go backwards into a number of value chains which feed into a common brand name (for
example, the different suppliers to Nestle). At the other end of the scale, a concern with
small and medium sized firms, which feed into a number of value chains, might require
the research to focus on final markets, buyers and their buyers in a number of sectors, and
on a variety of input providers.
Part 1 – Concepts 13
Making Value Chains Work Better for the Poor
The key entry point that will be used in this toolbook is the impact of the development
and operation of value chains on the poor. This entry point will be incorporated into
each of the tools described in the toolbook. Although the tools contained in the
toolbook are a standard set of tools for value chain analysis, the distinguishing feature
of the tools presented in the following sections are that they are explicitly slanted
toward the analysis of how the value chain is “working for the poor”.
Governance Upgrading
A hypothetical value-chain in agriculture
Farmers/Producers - Governance
- Upgrading
Assemblers/Traders - Distributional Issues
Processors
Foreign Traders
- Governance
- Upgrading Foreign Distributors
- Distributional Issues
Foreign Retailers
Distributional Issues
14 Part 1 – Concepts
A Toolbook for Practitioners of Value Chain Analysis
Part 1 – Concepts 15
Making Value Chains Work Better for the Poor
16 Part 1 – Concepts
PART 2 VALUE CHAIN
ANALYSIS TOOLS -
GENERAL TOOLS
PART 3 - VALUE CHAIN
ANALYSIS TOOLS
- QUALITATIVE
TOOLS
PART 4 - VALUE CHAIN
ANALYSIS TOOLS
- QUANTITATIVE
TOOLS
A Toolbook for Practitioners of Value Chain Analysis
2
PART 2 - VALUE CHAIN ANALYSIS TOOLS
GENERAL TOOLS
1. Introduction ........................................................................................................ 19
2. Objectives ......................................................................................................... 19
3. Key Questions.................................................................................................... 19
4. Steps ........................................................................................................... 19
Step 1 Determine criteria and build understanding of priorities .......... 19
Step 2 Weighting of criteria ........................................................................ 21
Step 3 Identifying a list of potential products/activities ........................ 21
Step 4 Ranking of products/activities ........................................................ 22
5. What Should be Known after Analysis is Complete ................................ 24
2. Objectives
To involve value chain actors in the learning process and select a limited number of value
chains to be analysed.
3. Key Questions
1. What are the key criteria on which to base the selection of value chains to be analysed?
2. Which value chains are most appropriate to analyse?
4. Steps
The prioritising process follows four steps that are common to processes of making
allocation choices under a situation of scarce resources. The final priority can be determined
on the basis of the ranking obtained. For each of the following steps, two methodologies
will be proposed; a rigorous participatory methodology and a less rigorous methodology
that could be adopted if time and resources are limited or participatory methods are not
appropriate.
(1) Potential of the value chains to improve livelihoods of the poor people;
Present integration of the poor in the market (what are they producing, selling,
employment)
Potential of the product/activity for poverty reduction
Potential for labour intensive technology
Low barriers to entry for the poor (capital, knowledge)
Low risk
Poverty incidence and/or absolute poverty figures
Take Note
These are not the only criteria that could give a pro-poor outcome,
and the list above should be viewed as a starting point for deciding
which criteria to use. The criteria used will vary according to the local
conditions and situation.
If time and resources permit, then the decision of which specific criteria to use for value
chain selection should be made in a participatory manner, with discussions among
participants as to which criteria are most relevant for the local conditions and requirements
of the analysis. This serves to increase ownership of the process and also can strengthen
common understanding among participants in identifying the potential value chains for
the final selection. Once selection of the criteria is agreed upon, participants should move
to weighting of the criteria (Step 2).
If time and resources are limited, or it is not possible to undertake a participatory process
of criteria development, then pre-selecting a smaller set of criteria for value chain selection
prior to the participatory meeting should be considered. These could take the form of
the first two integrated criteria discussed above - in other words the two selection criteria
would be (i) potential for improvements of the livelihood of the poor and (ii) market
potential.
2. Proportional, where all of the criteria have a combined weighting of 100 %, and the
relative importance of each criteria is reflected in the proportion of the total weighting
that is assigned to that criteria. For example, if there are three criteria, then they could
be weighted as Criteria 1 (50%); Criteria 2 (30%) and Criteria 3 (20%).
Take Note
Regardless of which weighting system is used, a rough rule is that the
more pro-poor you wish the selection of value chain to be, the higher
the weighting that should be given to the criteria that emphasise pro-
poor characteristics. 2
If time and resources permit, deciding on the weighting of the various criteria should be
undertaken in a participatory manner, with inclusion of all participants in the decision
making process. As was the case with the selection of criteria, this is important in building
ownership of the process and increasing understanding of the reason for value chain
selection. However, if time and resources are limited then the weightings for various criteria
can also be pre-determined prior to a participatory identification process.
The participants then discuss and share their understanding of the potential value chains
identified and agree to make the list.
Take Note
The participatory process of identifying potential value chains can
often result in a large number of potential chains being identified. To
increase the efficiency of the value chain ranking undertaken in Step
4, it is advisable to reduce this “long list” of potential value chains to
a “short list” of a more manageable size (potentially between three and
six chains). The case study presented in the Useful Examples section of
this tool demonstrates how this can be done.
Once the criteria have been agreed upon, relative weightings of importance can be attached
to each of them. For example, it may be decided that “Poverty and Sustainability” is more
important than “Structure of Chain”, so that the sub-criteria under the first of these two
categories are worth 70% of the total score.
Once the weightings have been determined, then a matrix for ranking the value chains can
be constructed; see Table 5.
Once the matrix is made, participants then rank each value chain on how well it matches
the criteria. A common way of doing this is to have a numeric ranking of 1 to 5, where
5 can represent the maximum compliance with the criteria and 1 represents a minimum
compliance; see Example 1. The assignment of the numeric scores can be done in a number
of ways, including gathering numeric rankings from all participants in the actor group and
then making a simple average.
Positive Negative
2
Insufficient resources
Source: MPDF.
Criteria Sub-Criteria
Take Note
If there are a large number of criteria, participants, or value chains,
more data is generated by the ranking process. Allow enough time to
calculate the final rankings.
From experience we can say that, in general, value chains which call for:
• high levels of investment
• use high levels of knowledge and technology
• demand for high risk taking strategies are not pro-poor.
Useful Examples
Example 1: Value chain selection in Thailand.
A participatory priority setting exercise was carried out with staff from the National
Economic and Social Development Board of Thailand (NESDB) staff and the North-
East Economic Development Project (NEED) Steering Committee (NESDB 2004).
Six commodities (rice, cassava, rubber, beef, silk, and broilers) were evaluated against 13
criteria; five criteria addressing the dimension of poverty alleviation and sustainability
against the backdrop of the national strategies, and eight criteria addressing the dimension
of the value chain structure.
Once the criteria were defined by the Steering Committee, the commodities were ranked
against each criterion. Each commodity was ranked in relation to the other commodities.
In this example there were six commodities and therefore a score of 6 meant that the
particular commodity best met that criterion, and a score of 1 meant that the commodity
did not meet that criterion.
Each criterion was evaluated through consensus of the Steering Committee. Once each
criterion was evaluated, a simple average score was calculated, and the commodities ranked
accordingly; see Table 6 below.
The results of the priority setting exercise indicated that silk and rice were the two
commodities most appropriate for study under the pilot project.
1
2
5
5
4
1
3
6
6
4
2
2
Number of intermediaries
Maturity of industry in region 5 4 1 2 6 3
Marketing potential 4 2 3 1 6 5
Lack of previous research 1 4 5 6 3 2
Data availability 6 4 1 2 3 5
Potential for “Lessons 5 3 2 1 6 4
Learned” / Replication of
mechanisms
Subtotal Chain Structure 3.4 3.6 3.1 2.1 5.2 3.5
Ranking 3.8 3.2 3.4 2.1 5.3 3.3
2
Contents
1. Introduction ..........................................................................................................................29
2. Objectives ............................................................................................................................29
3. Key Questions .....................................................................................................................29
4. Steps ........................................................................................................... 29
Step 1 Mapping the core processes in the value chain ........................................30
Step 2 Identifying and mapping the main actors involved in the processes ......32
Step 3 Mapping ows of products.............................................................................23
Step 4 Mapping knowledge and ows of information ..........................................30
Step 5 Mapping the volume of products, numbers of actors and jobs ...............31
Step 6 Mapping the geographical ow of the product or service ......................33
Step 7 Mapping the value at different levels of the value chain ........................40
Step 8 Mapping relationships and linkages between value chain actors ..........40
Step 9 Mapping services that feed into the value chain .......................................41
Step 10 Mapping constraints and potential solutions ...............................................42
Step 11 Making a value chain map matrix ................................................................43
5. What Should be Known after Analysis is Complete .............................. 44
2. Objectives
Mapping the value chain has a number of objectives:
Gain a basic overview of the value chain to guide the full value chain analysis to be
undertaken
Identify constraints and possible solutions at different levels in the value chain
Identify the location and position of the poor in the value chain
Visualise networks to get a better understanding of connections between actors and
processes
Demonstrate interdependency between actors and processes in the value chain
Create awareness of actors to look beyond their own involvement in the value chain
2
3. Key Questions
There is no such thing as a comprehensive, all-encompassing value chain map. There are
many potential dimensions of the value chain that could be included in an initial mapping
exercise: the product flows, the actors involved in the chain, costs and margins at different
levels, etc. Therefore it is crucial to choose which dimensions are to be mapped, based on
the available resources, the scope and objective of the value chain analysis and the mandate
of the organisation.
These questions will be used to provide the basis for the steps described this chapter.
Take Note
Many of the mapping dimensions covered in this tool are also addressed
in other tools in this book. The difference lies in the depth of the
analysis. The mapping tool is designed to provide an initial overview
of the key aspects of the value chain. This initial overview will be used
to guide the subsequent analysis of the chain, based on the later tools
in this book.
In all dimensions that need to be mapped, the practitioner is to consider the position and
role of the poor as actors in the value chain.
4. Steps
Step 1 Mapping the core processes in the value chain
The first question that must be asked in any value chain analysis is what the different (core)
processes in the value chain are. In other words, what processes occur from inputs to raw
material through to final consumption of end products?
The first step is to find the core processes in your value chain. As a rough guide, try to
distinguish a maximum of six or seven major processes that the raw material goes through
before it reaches the final consumption stage, including the provision of inputs to produce
raw materials. These core processes will differ, depending on the characteristics of the chain
you are mapping: industrial products undergo different phases compared to agro-products
or services.
Input
Cultivation Collection Production Export Import Retail
provision
The example in Box 2 above shows a relatively simple linear value chain, with two major
final products (baskets or boxes) produced from the raw material (sea grass). However,
for many value chains there are more than one or two products produced from the initial
raw material, each of which will follow its own set of processes to final consumption. In
these cases the process map will be more complex, and involve parallel sets of processes.
An example of this type of value chain is cassava, where the final product could be cassava
chips for animal feed, or cassava starch for numerous end uses. Figure 5 below shows the
potential complexity of a full map of value chain processes.
Other food
manufactoring Cassava Flour Cassava Pellets End-users: Noodles Modied Starch
Maltose
Domestic Feed
Retailers Domestic Retailers
Exporters
Foreign Feeds
Foreign Food Manufactures Foreign End-users Modied Starch
Manufacturing
Foreign Feeds
Retailers
Foreign Retailers Foreign Retailers
Take Note
Is the best way to view the map vertical or horizontal? Depending on the context, a choice
Source: (ADB 2005) needs to be made. There is no right or wrong. Regardless of which choice is made, try to be
31
2
Making Value Chains Work Better for the Poor
How to distinguish between actors depends on the level of sophistication the mapping
exercise is trying to reach. The most straightforward distinction would be to categorise actors
according to their main occupation. For example, collectors are involved in collection, and
producers are the ones that produce. This is a starting point, but does not give sufficient
information. An addition would be to categorise according to different classifications, such
as:
Remember, when conducting pro-poor value chain analysis it is vital to identify the position
of the poor as actors at various processes or levels in the value chain. In agricultural value
chains it is often assumed that the poor are all primary producers, but in fact the poor may
be involved in many other processes, either as small scale entrepreneurs or as labour.
Warning
In many value chains, especially in small or weaker markets, there is
often no pure specialisation. One actor will take on several different
roles. For example, a rice miller will also collect rice and act as input
provider. Try to find out what the main occupation of this actor is and
categorise accordingly.
Individual Intermediaries
Collectors Wholesales
Bee keepers Honey Consumers
Bee keeper traders
Cooperatives Retailers
associations
The result is a map of actors that is still fairly general. The map could be further developed
by breaking down the core processes into the specific activities that are undertaken by the
different actors that have been identified.
Every value chain has its own core processes and its own specific activities. The extent to
which the chain is broken down to specific activities depends on the researcher’s judgement.
Eventually, it should result in an understanding of where there are gaps or overlapping
activities, if there is a potential for upgrading, or simply a better understanding of the
situation.
Input
Cultivation Collection Production Export Import Retail
provision
Activities
suppliers
Growing
Harvesting
Cutting
Drying
Splitting
Collect
Categorize
Store
Transport
Categorize
Dry
Weave
Mould
prevention
Collect
Quality
control
Storage
Transport
Quality
control
Storage
Transport
Storage
Selling to
nal
consumers
2
Storage
Take Note
Breaking down core processes into specific activities is useful when we
turn to analysing costs, revenues and margins (see Tool 6 - Analysing
Costs and Margins). The activities can be seen as the cost or profit
centres of actors.
Box 5: Example of product flows in the pig value chain, Ben Tre
Vietnam.
Process Inputs to Sow-piglet
sow-piglet production Fattening Procurement Processing Consumption
production
Input Form Feed,
medicine, Weaners Fattened pigs Fattened Pork, offal
replacement pigs
sows
Output Form Feed,
veterinary
medicine, Weaners Fattened Fattened pigs Pork, offal
replacement pigs
sows
The role and position of the poor is crucial in this part of the mapping: do the poor
participate in the exchange of knowledge? The example in Box 6 shows a map of the
knowledge held by each actor in the value chain.
Intermediary
Farmer Collector
Trader
- Color: black - gray - Color: black - Color: black
- Size: unknown, but - Size: unknown, but - Size: even
ruond shape round shape - Oil content measured by Chinese
trader, but how is unknown
- Other dried properly
Source: RDMA 2005
Mapping information involves showing the flow of information between actors at each
process in the value chain, as shown in the example in Figure 6 below.
The volume of products is closely related to mapping the product flow. The dimension of
volume is added to following the product through the value chain. Finding out the volume
of product makes it possible to have an overview of the size of the different channels
within the value chain. The following examples in Box 7 and Box 8 map the volume as a
proportion of the total volume of the whole sub-sector.
2
Box 7: Example of mapping volumes.
Medium
Customers
Primary 20 % Large processing companies 20 %
Market 1
Producers
Small Retailers A
Primary 50 % 20 % 20 %
Producers Industrial Customers
SMEs Market 2
30 % 60 % 60 %
Importers Retailers B
40%
Small collector 60%
Large collector
95% 5%
Bamboo Sale
Processing Outside
Company Province
Source: (IFAD, M4P et al. 2007)
Two more dimensions that are quantifiable are the number of actors and the employment
opportunities they offer. These two dimensions are closely related to each other. Following
on from listing the actors in Step 2 the next step is to find out the number of each type of
actor. The number of poor, being a part of the actors in the different steps, is a dimension
that can be covered in this stage of the analysis.
An example of volume mapping the catfish value chain in the Mekong Delta of Vietnam is
presented in Box 9. In another example, Box 10 maps employment in the vegetable retail
trade in Vietnam.
13.8%
Domestic
2
Adapted from: (Moustier, Anh et al. 2006, pg 200)
Warning
Measuring employment can be difficult, especially when part of the
value chain is in the informal sector. Some problems that arise are
how to count part time employment, and what constitutes full time
employment. Tool 8 – Analysing Employment Distribution will
deal with these and other matters.
Source: Mapping Exercise for Sugar Value Chain, Cao Bang, Vietnam, (IFAD, M4P et al. 2007)
39
2
Making Value Chains Work Better for the Poor
Value is something that can be measured in many ways, and this will be discussed in more
detail in Tool 6 – Analysing Costs and Margins. The most straightforward depiction of a
monetary flow would be to look at the value that is added at every step throughout the chain,
providing an overview of the earnings at the different stages. Other economic parameters
are, amongst others, revenue, cost structures, profit, and return on investment.
This example shows that producers (weavers) actually add the most value, both
absolutely (Rs. 138.4) and relatively (125% value addition). However, this does
not tell us about the profit margin of the producers. To assess that parameter, an
analysis of costs needs to be made (see Tool 6 – Analysing Costs and Margins).
Source: (Padmanand and Patel 2004)
It is important to recognise that at the mapping stage of the value chain analysis very little
accurate information may be known about costs, margins and profits at different process
levels within the value chain. It is most likely at this stage of the analysis that only price
information is known at each process level.
Relationships can exist between different process steps (e.g. between producers and traders)
and within the same process step (e.g. farmer to farmer). Relationships or linkages between
similar actors can be mapped according to three broad categories:
1. Spot market relations: These are relationships that are created ‘on the spot’.
Actors make a transaction (including negotiations on price, volume and other
requirements) with the duration and scope of that specific transaction. This is
typical for transactions made at a fresh vegetable marketplace: buyer and seller
meet, come to an agreement (or not) and break up the relationship. These can also
be described as ‘arm’s length relationships’.
2. Persistent network relations: When actors have a preference for transacting with
each other time and time again, we can speak of a persistent network relation.
This comes with a higher level of trust and some level of interdependence. This
relationship can be formalised by contracts, but this is not a necessity.
In order to map these types of relationships, different lines and arrows are used. The
following example clarifies this.
Cooperatives Wholesalers
Sedge enterprise
Persistent relationship
Spot market relationship
Input
provision Cultivation Collection Production Export Import Retail
Design info
The sources and payment procedures of these services are different: embedded, fee
based or for free (subsidised). A separate map can be drawn to make this visible.
Source: (SNV 2005)
2
Source: (IFAD, M4P et al. 2007)
Developing initial value chain maps and a map matrix provides a firm basis for undertaking
the full value chain analysis described in the following tools. In particular, after the mapping
exercise is complete, practitioners should be able to determine which value chain actors
should be interviewed, what information should be gathered, what significant information
gaps exist, and what the geographic locations for field work are.
The following chapters provide tools to help analyse the dimensions that you wish to
map.
3
PART 3 - VALUE CHAIN ANALYSIS TOOLS
QUALITATIVE TOOLS
Contents
1. Introduction ..................................................................................................... 47
3
2. Objectives....................................................................................................... 48
3. Key Questions ................................................................................................ 48
4. Steps ........................................................................................................... 49
Step 1 Map actors .........................................................................................................49
Step 2 Determine the demand and supply conditions of the value chain ..........49
Step 3 Determine the dominant coordination arrangement(s) in the
value chain ........................................................................................................51
Step 4 Analyse how target populations participate in the value chain .............52
Step 5 Identify rules and regulations ........................................................................53
Step 6 Analyse impact of rules on value chain participants (including
enforcement, rewards, and sanctions) ...........................................................58
Step 7 Analyse target sector knowledge and awareness of rules, norms and
standards, and identify key gaps ..................................................................58
Step 8 Analyse how information and services are provided internally
through the value chain and externally ........................................................59
5. What Should be Known after Analysis is Complete .............................. 60
Governance refers to both the “official” rules that address output, and the commercial
imperatives of competition that influence how production is structured. Governance
implies that interactions between actors in the value chain are frequently organised in a
system that allows competitive firms to meet specific requirements in terms of products,
processes, and logistics in serving their markets. As such, it recognises that power is not
evenly distributed, and access to market opportunities for the poor requires understanding
of how production systems are organised to meet these competitive requirements.
Because “governance” looks and sounds like “government”, the term is often interpreted
narrowly to include only the legal and regulatory requirements that influence business
operation and market access in a value chain. In actual fact, the instruments of governance
range from contracts between value chain participants to government regulatory frameworks
to unwritten “norms” that determine who can participate in a market.
Regardless of the level at which rules originate, poor value chain participants can find
opportunities for upgrading and participation in higher-value markets where they have
the resources to learn about requirements of participation in markets. Value chain actors
may have limited access to services and other forms of support required for meeting value
chain standards; insufficient support can hamper their possibility to actively participate in
higher-value segments of the chain. Access to information about commercial requirements,
standards and compliance-related services that may be delivered through government,
semi-public initiatives, or through the private systems of value chain coordination, are key
concerns in analysing upgrading opportunities for poor producers.
The analysis of value chain governance and services is best approached by separating three
dimensions: Coordination Structures, Rules and Regulations, and Control Mechanisms
(Transmission of Information and Services).
Macro
Structural Cognitive
Micro
Source: (Grootaert and Bastelaer 2002)
2. Objectives
The main objectives of governance analysis are to:
Understand how the value chain is coordinated, including key firms (actors) and
mechanisms (i.e. contracts, agreements, services), and why this coordination
structure has arisen and evolved
Map the formal and informal rules, regulations, and standards that influence the
value chain, how compliance to the rule is monitored, and what sanctions and
incentives are used to ensure compliance
Assess the impact of the rules on different sets of actors, particularly on disadvantaged
groups
Assess how different groups of value chain participants receive (or lack access to)
adequate forms of support that can help them achieve the required standards
3. Key Questions
What system of coordination is in place to meet commercial objectives related to
quality, quantity, and consistency and/or to ensure compliance with standards? Which
are the “lead” or “coordinating” firms in this system? Is coordination mostly based
on formalised arrangements (contracts, for example), or is coordination informal?
What are the rules and standards, both official and commercial, that actors
involved in the value chain must comply with in order to participate? Where do
they originate? How are they enforced?
What are the effects of each rule on the participation (economic activities) of the
poor, particularly relating to the actors that enforce these rules and the systems in
place to coordinate production?
4. Steps
It is difficult to capture all of the governance and services issues in a fixed-format
questionnaire. Most of the data needed for analysing governance is of qualitative and un-
quantifiable nature. For this reason, it is recommended to use open-format and intensive
interviews with value chain participants and key informants; this is particularly true when
approaching an unfamiliar value chain.
Once the list is complete, it can be ungrouped for each level of the value chain based on
different categories including wealth (poor, average, better off ); business type and scale
(micro, small, medium, large); ethnicity; and gender. Particularly when pro-poor analysis is
involved, separating actors according to wealth and scale is very important. The categories
can prove useful to analyse the impact of the governance structure on different groups,
assess the level of information asymmetries along the chain etc. List all actors in a table and
3
arrange them on a chart.
For example, in Svay Rieng province in Cambodia vegetable collectors are employed
elsewhere, and therefore not available, in the off-season (Ypma 2005). This makes it more
difficult for remote off-season farmers to market their product. In cassava production
systems in Vietnam the dominance of actors is determined by the season (ADB 2005).
In the peak harvest season, with oversupply of fresh roots and only one market channel
active, the main starch processors set and enforce regulations and pricing of starch content.
However in off-seasons, with both fresh root and dried chip market channels active, it is
the collectors who determine which channels will be supplied.
50
Are you dealing with a highly
perishable goog?
Yes No
Yes
End Use
Customers Lead Lead
Integrated
Firm Firm
Firm
Lead
Firm
3
Chains
Supplier Supplier
Value
Price
The companies most directly accountable for the configuration of production systems,
and for enforcement of rules throughout the value chain as a condition of selling their
products in intermediate or final markets, are referred to as “lead firms”. In general, more
restrictive or complex rules determining access to customers generate more sophisticated
systems of vertical coordination by lead firms, even within a single industry. More stringent
rules and requirements stimulate lead firms to exert more direct control over production
and transportation of goods, since they are ultimately accountable to governments and
consumers for the compliance of their goods with official or unofficial requirements. Their
choices (and the choices of their agents) about which producers can participate in their
supply systems have enormous, direct impact on the participation of the poor in value
chains.
There may be more than one system of coordination operating in a single value chain in
any given area, for example, where independent and contracted producers exist side-by-
side; see Example 2: Three Coordination Systems in the Zambia Cotton Value Chain.
1. Functions undertaken in the value chain: Inquire as to the range of activities that
poor participants undertake in a given value chain
The accompanying figure shows the possible positions of small producers within a chain,
with the functions undertaken placed along the vertical axis and the type and level of
contractualisation and coordination with other chain actors or among themselves on the
horizontal axis.
Producer only
1
Producer increases
level of contract
or cooperation
3
3
No participation Level of coordination
(1) Entering the chain (J1)
(2) Improving on existing production activities (1J1)
(3) Adding value by taking on more functions (1J2)
(4) Increasing contractualisation (1J3)
(5) Coordinating a chain segment (1J4)
within the chain. At present, developing country agricultural producers face significant
barriers to accessing developed markets due to well-developed product standards. These
standards motivate development of new production systems and organisational forms.
Conversely, the dominant rules in local markets, particularly where official standards are
weak or poorly enforced, tend to be commercial standards related to product quality, grading,
and business practices. In these very loosely coordinated systems, wholesalers or traders may
serve as de facto lead firms, enforcing rules upon producers through differential pricing and
providing limited information or assistance with compliance. Monopolistic local trading
structures may also disadvantage producers. Rules may not be communicated or may vary
between localities within a national market. Poor producers also may not understand rules
related to product quality or other commercial requirements and therefore may engage in
antagonistic relations with buyers, which can aggravate other value chain dysfunctions.
In general, the standards faced by producers participating in export markets are vastly more
complex than those governing local and national markets. While official and commercial
standards usually apply in both cases, the need to comply with multiple and overlapping
international standards related to production conditions constitute an important barrier to
entry for poor value chain actors who wish to participate in export-oriented value chains.
Nonetheless, better understanding of, and compliance with, local commercial rules is
generally a pre-condition for value chain upgrading. It might also be considered a stepping-
stone to export strategies, since producers are unlikely to be able to comply with complicated
standards if they are unable to understand, accept, and comply with the basic requirements
of local markets.
In 1997, the fourth leading export item in Bangladesh was frozen shrimp and fish,
with a 7.3% share of the total export market. The major importers were the European
Union (EU; 34–50% of Bangladesh’s exports), the United States (23–38%), and Japan
(15–26%), depending on the year. At that time, the value per kg of Bangladesh’s frozen
shrimp was lower than average for the Asian region. Bangladesh had a reputation for
producing seafood that did not always meet minimum international standards as
specified by the Codex Alimentarius Commission. With a low percentage of the world
market, a lower-valued product, and a negative reputation in quality, Bangladesh was a
price-taker rather than a price-setter.
THE EU BAN
On July 30, 1997, the EU banned imports of fishery products from Bangladesh, as
a result of inspections of Bangladesh’s seafood processing plants. Inspections found
serious deficiencies in the infrastructure and hygiene in processing establishments and
insufficient guarantees of quality control by Bangladeshi government inspectors. The
ban was estimated to cost the Bangladesh shrimp-processing sector nearly USD 15
million in lost revenues from August to December 1997. The impact on both the
industry and the economy of Bangladesh was substantial. The only way Bangladesh
could strengthen its export position in the shrimp market was to improve the safety
and quality of its exports. Over the last decade, with a major effort in the late 1990s,
safety improvements have been made by the industry and government, with the
technical assistance of bilateral and multilateral agencies. While the short-term loss
in foreign currency from the EU ban was high for a developing country, the ban did
increase the commitment by industry and government to raise product quality to meet
international standards. Both exporters and government made major investments in
plant infrastructure and personnel training in order to achieve international technical
and sanitary standards. This included new employee acquisition and training,
sanitation audits, plant repair and modification, new equipment, new laboratories and
other costs.
INVESTING IN SAFETY
Some upgrades were in progress at the time of the EU ban. By 1997, the Bangladesh
shrimp processing industry had invested USD 17.6 million in plant upgrades, the
government had invested USD 382,000 in laboratory and personnel upgrades, and
outside partners had invested USD 72,000 in training programs in Bangladesh.
Unfortunately, these improvements were not enough to prevent the ban. The total
fixed investment cost of USD 18 million was only slightly higher than the nearly
USD 15 million in lost revenue from the ban over a period of five months. These
improvements would have almost been paid for, had they been implemented in time
to make the ban unnecessary. Research has also determined that the annual recurring
costs to maintain HACCP (Hazard Analysis and Critical Control Point) programs
and meet international standards would be USD 2.2 million for industry and USD
225,000 for government. Subsequent inspections by the EU determined that some
plant improvements met EU standards. Subject to certain provisions, the EU ban
was lifted for six approved establishments for products prepared and processed after
December 31, 1997. By July 1998, a total of 11 plants had been approved for export
to the EU. Collective efforts by the industry, the Bangladesh Department of Fisheries,
and the Bangladesh Frozen Food Exporters Association have continued to strengthen
the export-processing sector. By 2002, of the 65 plants licensed for export by the
government, 48 plants had EU approval.
Identifying rules and regulation should begin by interviewing key actors in the chain (e.g.
lead or coordinating firms, major processors, exporters), as they should be more aware of
these issues. In locally-focused value chains, wholesalers or other key intermediaries may
be the most important sources of information on de facto standards and rules, as informal
commercial norms are more common in these situations.
After the initial interviews, other actors can be interviewed following backward linkages in
the chain. Initial information could be gathered using semi-structured interviews. During
the first round of semi-structured interviews with key actors, a questionnaire could be
developed based on the following guidelines. Different sections can be chosen depending
on the desired focus of the research:
Ask the informant to list all the rules and regulations (formal and informal) that they
must follow in order to operate in their market segment, and the consequences of
failing to comply. Ask the informant to clearly explain how the rules are translated
in detailed sets of instructions related to cost, quality, processes, delivery times
etc. Also, take note of additional sources of information you might later consult if
you need to know more about the requirements of each regulation (e.g. websites,
statutes, legal documents).
Ask the informant to list all the rules and regulations that they require their suppliers
to follow. Ask them to list all the actors (or categories of actors) with whom they
directly stipulate arrangements (contracts, informal agreements) according to
each rule. Ask them to explain how the rules are communicated in the form of
instructions on, for example quality specifications, costs, delivery time, inputs,
equipment and processes to be used for production.
For each rule or regulation (both upstream and downstream), ask the informant
to explain the main advantages and disadvantages of compliance. Examples of
advantages might be: expanded market access; possibility to implement a reliable
quality management system; efficient production plans. Disadvantages might
include: high costs and decreased profit margins; demanding requirements in
terms of processes, technology, scale; difficulties in finding local suppliers or skilled
workers that can match the requirements.
For each rule or regulation, ask the informant to explain why it is necessary, and
how it helps maximise the efficiency and the level of coordination within the value
chain.
For each rule or regulation, ask the informant to explain how the rules have been
set, who set them, and when the rule was set. Also, try to understand if there have
been major changes in the rules over time, and how the changes have affected
business.
For poor participants in the value chain, pay particular attention to whether they
understand the rules, particularly when formalised. For example, if there is a
written contract, can the poor understand the terms?
A matrix can be used to summarise the findings, and also offers a tool for structuring some
sections of the questionnaire, which can supplement the qualitative analysis during the
next rounds of interviews.
Figure 14: A graphic example of the different levels in the value chain
that individual rules might apply to
Enforcement includes the methods and tools used to check compliance with the rules,
and the system of sanctions used to promote observance of the rules. Without effective
enforcement, rules may be set - but not kept. The first aspect of enforcement is monitoring
at different stages of the chain and the second aspect is the sanctioning system; it can include
both sanctions (aimed at punishing defectors) and incentives or rewards (to encourage
observance of the rules). Though government regulatory capacity may be important to
enforcement, it is not exclusively, or even principally, a government function. Depending
on the coordination structure, lead firms may have significant enforcement power, for
example, to exclude non-performing producers from chains by revoking contracts or
reducing prices.
It helps to produce a list of the actors involved in the enforcement system. Two separate
sets of matrices can be generated, one of monitoring actors / monitoring tools, another
of sanctioning actors / sanctioning tools. In the case of enforcement, it is particularly
important to collect data regarding the frequency of inspections received by each actor
from the different monitoring agents. Also, it is important to record the frequency with
which each actor has been subject to specific forms of sanctions. It can also be important to
compare maps and tables across different categories of actors (poor / non-poor).
On the other hand, rules, quality standards, and norms may not be written down or
may vary within and across market areas. These may also change in response to market
offerings.
It is important to assess the level of transparency in monitoring and enforcing the rules. For
example: are quality requirements clearly set in contracts, and translated in an explicit set of
parameters that cannot be subject to discretional interpretations? Are independent parties
involved in the monitoring process, or is it totally managed by powerful actors? Discretional
quality controls coupled with power asymmetries can result in a monitoring system that
disadvantages the poor. Furthermore, discretional rules can result in corruption.
Take Note
In the Farmer Marketing School (FMS) approach used by the CIDA
funded Cambodia Agricultural Market Information Project (CAMIP),
value chain actors (producers and traders) formalise the local grading
standards by discussing the objectively verifiable criteria of quality and
subsequently the parameters per grade for each criterion. The objective
is to come to a commonly agreed upon standard for grading.
The main focus of service analysis is to understand by whom (and through which means)
value chain participants are supported in achieving competency as suppliers within the
coordination system and compliance with rules and standards that are in place. This
analysis also can help assess whether the level of support is adequate to the requirements of
value chain upgrading.
The main questions to be addressed are the following: who provides assistance to value
chain participants; which forms of assistance are available for different categories of value
chain actors; what is the degree of satisfaction of different categories of actors with the
services and assistance provided; and which linkages or services should be improved?
It is important to assess the level of services and support the poor receive from other actors
within the value chain (for example, lead or coordinating firms, contract farmers, key
wholesalers or other buyers) and from external organisations.
Particular attention should be given to understanding the ways in which actors within
or outside the value chain are providing assistance to less advantaged participants in
understanding and complying with commercial and regulatory requirements.
Table 12: External actors assisting rms to meet value chain rules
Useful Examples
3
~160,000 total)
The Operations Managers are assisted by eight Area Managers to oversee the
activities of the Shed Area Managers and distributors in their area. The Area
Managers ensure that company protocol is followed and activities are undertaken
correctly. Their role is to manage and monitor the Distributor system, oversee field
activities and to report back to the company through the Operations Managers.
Dunavant employs 65 Shed Area Managers, and (in 2004/2005) contracted some
2,400 Distributors. Their respective role and responsibilities are:
Distributors
Collect and pay the company a fee of ZMK 1,500 per bag of cotton planting
seed, which should be collected from all farmers to whom inputs are being
distributed;
Submit stock reports in line with Dunavant requirements;
Keep detailed accounts for inspection;
Obtain credit from the company for inputs;
Store inputs prior to disbursement, usually in small self-built sheds or
homes;
Mobilise the farmers for planting based on history, membership and loan
recovery performance;
Distribute the loan in the form of inputs; seed, chemicals, sprayers and for
some designated trial farmers, fertiliser;
Report any problems that may occurs that s/he cannot advise upon;
Coordinate harvesting schedules;
Coordinate the delivery of the produce to village grading and storage sheds;
If the Distributor also acts as a Buyer (for which he has to be numerically
literate), he is also responsible for:
- Weighing the produce
- Grading the produce;
- Recording produce weight and grade against the smallholder farmers
name and ID number from his/her national registration card; and
formatting
- Coordinating trans-shipment with Dunavant to regional storage depots.
3
Contents
1. Introduction ...........................................................................................................................65
2. Objectives ...........................................................................................................................66
3. Key Questions ......................................................................................................................66
4. Steps ........................................................................................................... 66
Step 1 Map respondents and create categories ...................................................66
Step 2 Identify dimensions ..........................................................................................67
Step 3 Survey actors .....................................................................................................67
Step 4 Analyse the results of the survey ...................................................................67
Step 5 Identication of power distribution ..............................................................69
Step 6 Analyse trust ......................................................................................................71
5. What Should be Known after Analysis is Complete ............................. 72
Terminology
for the purpose of this tool
1. Relationship is defined as a social connection between two
parties
2. Linkages are defined as a business relationship between two parties
of the value chain/network
3. Trust is social capital formed between two parties enabling a more
efficient linkage through the reduction of transaction costs.
Whereas relationships, defined as a social connection between two parties may play a role
in certain value chains, e.g. a family business with different individual family members or
family groups each having specific tasks or specialisations within the value chain (usually
with a high level of trust), linkages are the more common norm in most value chains (with
varying degrees of trust between actors). From here onwards this tool will therefore focus
on linkages and trust.
Analysis of linkages involves not only identifying which organisations and actors are linked
3
with one another, but also identifying the reaso ns for those linkages and whether the
linkages are beneficial or not. Actors in the value chain link with one another because they
purportedly obtain benefit from those linkages. An identification of the benefits (or lack
of them) goes a long way to identifying the constraints in increasing linkages and trust
amongst value chain participants.
Linkages within a value chain are mostly business linkages, and could be formal but are
often informal. The informal linkage refers to the domain of social capital (see also Figure
10 in Tool 3), in which trust can play a central role. Many studies have shown that in a
dynamic traditional community the degree of social capital in business activities is high
with numerous linkages based on trust.
The linkages in value chain can be classified into vertical linkages and horizontal linkages.
The vertical linkages are the relationship between actors along the chain. Examples of
interactions of farmers with other actors in the chain can take diverse forms:
Horizontal linkages on the other hand are linkages between actors at the same level of the
value chain, e.g. farmers working together with other farmers, or companies in the same
sector liaising with each other on a regular basis. For example, in the cotton industry in
Zambia horizontal linkages exist between the different ginning companies operating in
the country, while each of these companies have their vertically integrated production and
supply value chains.
Strengthening the linkages between the different actors in the marketing system will lay the
groundwork for improvements to other constraints; establishment of a contract regime,
improvements in post-harvest and transportation systems, improvements in quality, and
the effective use of market information.
2. Objectives
1. To identify linkages geographically and socially
2. To describe the linkages between different actors in the value chain and their linkages
with other actors ancillary to the value chain
3. To describe the linkages between actors by poor and non-poor actors
4. To assess the impact of the linkages on the poor actors in the value chain
3. Key Questions
Dimensions of analysis:
1. Do linkages exist?
2. How important are linkages?
3. How many different actors are involved?
4. What is the frequency of contact?
5. What is the level of formality?
6. What are the reasons for having or not having linkages?
7. What are the relative benefits/costs of linkage? What is the level of trust?
8. How long have these linkages existed?
9. How has the formality of the linkages changed or evolved?
10. What is the rate of expansion of linkages over time?
4. Steps
Step 1 Map respondents and create categories
When interviewing, separate out into different categories of respondents for both
horizontal and vertical linkages in order to analyse later the differences in linkages between
the different categories
Number of different actors (number of different people in each organisation
grouping)
Frequency of contact (number of times per year met)
Level of formality (informal/ verbal agreement / written contract)
Reason for linkages / Reason for no linkages
Relative benefits/costs of linkage (benefits>costs / benefits=costs / benefits <
3
costs)
Level of trust (distrust / no trust / little trust / some trust / full trust)
Farmer
Making Value Chains Work Better for the Poor
Farmer Group
Farmer Cooperative/
......................
Linkage If Linkage = YES, then Typical Nature of Linkage (From Informal to Formal If Linkage = YES, then How Much Do You Trust These Individuals/
Organization Written Contract) Groups/Organizations?
Informal Verbal Arrangement Formal Written Contract Distrust No Trust A Little Trust Some Trust Full Trust
Farmer
Farmer Group
Farmer Cooperative/
Association
......................
Source: (Agrico, ANZDEC et al. 2004)
A Toolbook for Practitioners of Value Chain Analysis
3
Source: (UNDP and NERI 2005)
There are a number of indicators which can be taken into consideration in order to measure
the power of actors operating in the chain; these are presented in Table 14 below. Most
of the indicators are indexes of concentration (share) and can be combined together in
order to understand the overall control exerted on the key resources by specific actors in
the chain.
Indicators have to be selected according to the focus of the analysis and the availability
of data. The number of market partners available to each party and the stability of the
exchange relationship (captured in the analysis of contracts) can represent, for instance,
easy indicators to understand the vulnerability and the dependence of one actor from the
other. As is often the case, small producers may only have access to a limited number of
stable channels through which to sell their production; therefore their ability to bargain
the price can be limited.
Once all the relevant indicators have been chosen, it is possible to calculate a concentration
index for each of them. The concentration index can give an idea of how a particular
indicator is allocated among the top five or ten actors in the chain. If the second indicator
from the table above (the share of the value added in the chain) is used as an example, the
following steps can be followed to calculate a concentration index:
1. Rank all the actors in decreasing order according to the indicator. Start from the one
that presents the highest share of value added to the chain, to the one that has the
lowest share. Put all the actors in a spreadsheet.
2. Define the cutting point for calculating the concentration level: for example, among
the top five actors or among the top 5%. This is a sensitive step, as choosing one
cutting point instead of another can drastically change the results. It is therefore advised
to choose more then one cutting point and compare the results in the subsequent
analysis.
3. Divide the total value added by the top actors (as defined in step 2) by the total value
added produced by the entire chain. By using this simple methodology, it is possible to
understand how key resources or assets are concentrated among actors.
4. Repeat steps 1-3 for all the indicators useful for the analysis and check how often the
same actors are among the top actors. For example, the same five actors in a chain can
turn to be not only the ones to have the highest percentage of value added and profit,
but also the ones who control key technologies and information in the chain.
Technical assistance
Communication
Price determination
Customer has multiple procurement sources
Expertise rarely pooled
Assistance given only when paid for
Infrequent and through formal channels
Adversarial, with hiding of information
Single or dual sourcing by customer
Extensive unilateral or bilateral technology
transfer over time
Frequent and often informal
Non-adversarial
3
Credit extended Punitive or no-credit extended Easy access, longer payback period, easy
terms
Outsourcing payment terms Long delays in paying agents and informal Payment on receipt of nished goods
economy producers
The analysis of trust can be based on key questions derived from the above table, such as:
An index of trust can be easily built by scoring and weighting all these characteristics.
An index of trust can be easily built by scoring and weighting all these characteristics.
To save time it sometimes can be useful to directly ask the respondent about their level of
trust with regard to a list of other actors in the value chain. The level of trust should be
ranked according to a scale (for example: (-1) distrust; (0) no trust; (1) little trust; (2) some
trust; (3) complete trust). The data on trust from various value chain actors can then be
inserted in a matrix as shown in Table 16.
From Table 16 it is possible to see the level of trust actors have for others in the chain,
and to check if trust is reciprocal. If it is true that informal arrangements are the results of
trust, it has also to be considered that informality makes it more difficult to understand the
terms of the arrangement. Whether or not trust is reciprocal can be particularly important
to understanding the position of the poor, as it gives a rough idea of the extent to which
an agreement is based on trust or simply the result of dependency (no other alternative
partners available). In the example above, farmers have some trust in traders while traders
have complete trust in farmers; the exchange is therefore almost reciprocated.
Do linkages exist?
How important are linkages?
How many different actors are involved?
What is the frequency of contact?
What is the level of formality?
What are the reasons for linkages, reasons for no linkages?
What are the relative benefits/costs of linkage?
What is the level of trust?
How long have these linkages existed?
How has the formality of the linkages changed or evolved?
What is the rate of expansion of linkages over time?
Contents
1.
2.
Introduction ..................................................................................................... 75
Objectives ..................................................................................................... 76
3
3. Key Questions ................................................................................................ 76
4. Steps ........................................................................................................... 77
Step 1 Analyse (mapping and diagnosis) the variation/differences in
knowledge, skills and technology in the separate processes in the
value chain..........................................................................................................77
Step 2 Determine and describe standards along the chain (both in terms of
market demand and supply)...........................................................................78
Step 3 Identify distinct market chains based on applied knowledge, skills and
technology and product grade levels achieved........................................ 82
Step 4 Identify opportunities for upgrading in knowledge, skills and
technology for improving market chains .......................................................83
Step 5 Analyse which options are within reach of the poor (in terms of
knowledge level, investment, use etc) .......................................................... 85
Step 6 Analyse which services should be provided to assist the upgrading and
who are the potential available service providers ....................................87
5. What Should be Known after Analysis is Complete .............................. 88
Who are the local innovators in the community that can serve as showcase to others
within the community?
What are the mechanisms present within the community to share, maintain and
collectively develop skills and knowledge? Is the social capital present and are people
willing to share it?
Can the poor do it? Do they have the required knowledge and skills to understand the
technology and to implement or operate it?
Can the poor afford it? Is the investment requirement for the upgrading within reach
of the poor?
Can the poor copy it? When the technology is introduced to a select audience is it easy
to copy? For example, do local construction workers have the capacity to build it or are
seeds available?
Can the poor access it? Are the necessary services in place and accessible to the poor?
3
Is there enough level of organisation/collective action to disseminate experiences and
guarantee quick absorption of upgrading?
Take Note
The term ‘skills and technology’ includes all types of skills and
technology ranging from so called traditional (indigenous / local)
skills and technology (often self-developed by the users based on
experiences) to high-tech skills and technology (developed through
extensive R&D) without making a judgement on its value. In a pro-
poor skills and technology analysis special attention should be paid
to the existing levels of traditional technology and its effectiveness
and previously tried upgrading interventions and its impact (both
acceptation and failure).
2. Objectives
The objectives of this tool are:
1. To analyse the efficiency & effectiveness of technology in use within the value chain
2. To categorise current and required technology in the value chain
3. To analyse the appropriateness of technology (affordability, suitability, accessibility,
replicability and exchangeability) matched with skills of technology at different levels
of the value chain
4. To analyse upgrading options within the value chain that provide the required quality
of output
5. To analyse the impact of external investments in knowledge and technology (innovation
and R&D)
6. To understand what the causes of the existing gaps / constraints are through the analysis
of:
- Existing and applied skills, knowledge and technologies; and
- Past attempts to improve skills, knowledge and technologies and its impact
7. To identify the needs and opportunities for upgrading of skills, knowledge and
technologies
8. To analyse the possibilities to make upgrading opportunities available through
embedded services, external services and/or collective action and learning
3. Key Questions
Key questions to answer in the analysis will be:
What are the standards and grades existing in the market (both formal and informal)?
Which technologies are in use and which grades are currently produced by different
groups of producers at different stages along the value chain (poor versus non-poor,
ethnic division)? What is the efficiency and effectiveness of the technologies in use?
Where are problems located?
What are the current levels of understanding, skills, and knowledge about quality
standards and grades along the chain actors? Is there a unified definition of quality?
Who determines orientation and investment in knowledge and technology in the value
chain?
Who organises, provides and pays for quality control?
Does the current level of skills, knowledge and technology produce the required
output?
What indigenous and other knowledge is being used in the value chain?
What upgrading interventions have been tried in the past and what has been their
impact?
What are the upgrading options already available in the market?
Where are good examples of upgrading inside or outside the geographic analysis area?
Who are the change leaders and do they have the willingness to share?
What are the costs/margins of technology (refer also to Tool 6 – Analysing Costs and
Margins)?
Is investment in upgrading worthwhile? Does it bring enough added value to the poor?
Are there social mechanisms to make investments in services or technology
affordable?
Who can provide and produce the upgrading solutions? For example, advisory services,
R&D, extension, local producers of technologies.
An important pro-poor aspect in the upgrading of technology and knowledge will be the
impact on the poor in terms of:
4. Steps
Step 1 Analyse (mapping and diagnosis) the variation/
differences in knowledge, skills and technology in the
separate processes in the value chain
In this first step the different uses and users of the current technologies in the value chain
will be mapped. For each process in the value chain the levels of knowledge and technology
being used is mapped for the different users, focusing especially on poor and non-poor
users.
For each process that is identified in the mapping exercise, a matrix should be made that
shows the position of the process in terms of poor and non-poor users. Table 17 gives an
example of the type of matrix that could be constructed.
3
Table 17: Example of knowledge and technology matrix - cassava
production and processing
Production Processing
Knowledge Technology Knowledge Technology
Poor Indigenous knowledge Local varieties Poor Indigenous knowledge Open air drying and
on upland growing on chip making and home storage in bags
conditions drying
Non-poor Upgraded knowledge Hybrid varieties from Non-poor Knowledge from formal High tech starch
from extension training China studies processing
Source: (ADB 2005)
To determine the types of knowledge, technologies and skills used by actors at different
levels of the value chain, it is important to both observe the types of technology, and to ask
questions that are designed to gather useful information about knowledge levels and the
appropriateness of technology being used. Table 18 gives examples of questions that could
be asked to value chain actors, and the types of information that could be determined
from asking those questions. The questionnaire will have to be adapted to the local context
and/or research question. The (non-) homogeneous application of knowledge, skills
and technology should be taken into account especially when dealing with smallholder
producers and systems of collective action.
Table 19: Product standards table with specified visible key features
and grades
Key Features Grade A Grade B Grade C Grade ……
Shape
Colour
Smell / Taste
Freshness
% Impurities
Take Note
If there are no formal, clear standards with specified grades these
need to be developed with relevant actors. Key features should be as
specific as possible so they can be understood by all and are not open
to multiple interpretations.
3
Box 17: Norm table developed for dried longan in North Vietnam
Box 18: Ofcial grading tables for certain Indian cashew types
Grade Trade Colour Count 454 gms Maximum Broken NLSG NLG
Designation Name Characteristics size description Moisture % Max % Max %
SWP
Small White/pale ivory or Broken kernels smaller than 5 Nil 5
white light ash those described on LWP but (BB &SSP
pieces not passing through 6 mesh Together)
20 SWG sieve/2.80mm I.S
Sieve
BB
Baby Bits Do Plemules & broken kernels 5 Nil 1%
smaller than those (Cashew
described as SWP but not Powder)
passing through a 10 mesh
24 SWG Sieve/1.70 mm
I.S.Sieve
SPS
Scorched Kernels may be over Kernels broken 5 Nil 7.5 (DP & DSP
Pieces scorched, immature, Into pieces but together)
Second shriveled (Pirival), Not passing through a 4
speckled (Karaniram), mesh 16 SWG sieve/4.75
discoloured and light mm I.S. Sieve.
blue
DP
Dessert Kernels may be deep Kernels broken into 5 Nil 7.5 (DSP)
Pieces scorched, deep brown, piecesbut not passing
deep blue, speckled, through a 4 mesh 16 SWG
discoloured & black sieve/4.75 mm I.S.Sieve
spotted.
Remarks: Kernels shall be completely free from infestation, insert damage, mould, rancidity, adhering testa and objectionable
extraneous matter.
NLSG denotes: Next Lower Size Grade, NLG denotes :Next Lower Grade
Source: http://www.cashewcorporation.com/spec.htm
Box 20: Quality criteria along a pig value chain in North Vietnam
Source: (Le Goulven, Boutonnet et al. 1999; Binh 2002; Figuié 2004)
In many value chains there are distinct market channels, often with regard to value and end-
consumers using the products. By analysing these different channels and the technology
and knowledge used in these channels it is possible to get a clear picture of the activities
the poor are involved in, and an assessment can be made what their best options are if they
would like to upgrade technology.
Take Note
During the analysis, it is helpful to support investigations with photo
materials, especially to show different technologies that are being
used.
For each market channel that is identified in the mapping exercise, a matrix should be
made that shows the position of the process in terms of poor and non-poor users, the type
of technology used and the type of output. Table 20 gives an example of the type of matrix
that could be constructed.
It is important to analyse which technology is used in each market channel but also to
analyse from the consumer towards the producers to understand customer demand and
to translate that into the correct use of technology. In Box 21 on Longan processing an
example is given of how technology was developed to be able to go from low quality
processing to medium quality processing for a different market channel in which different
margins can be earned.
The department of agriculture had introduced new technology which was not
adopted by small scale processors in the value chain because of high cost for the
technology, complexity of the technology and the high running cost (energy input)
of the technology.
Terminology: Upgrading
Process upgrading. Process upgrading refers to the efficiency of
production. Can costs be reduced? Can speed of delivery be increased?
For example, can a farmer reduce the use of fertilisers while maintaining
the same production levels? Or can a transporter use stronger boxes to
reduce losses?
Product upgrading. Product upgrading refers to the introduction of
new products or improving old products. For instance can a processor
use a better drying oven to produce higher quality dried longan? Or
can a tea processor introduce small tea bags instead of 1 kg loose tea
boxes?
In the search for upgrading possibilities it is important to look at the effect of the upgrade
on the whole value chain. For example, the introduction of a new variety for the producer
can mean that the processor also has to change technology or that different requirements
have to be placed on transport.
In order to improve the performance of the whole value chain it is important to determine
the most effective level in the value chain to upgrade. If upgrading should take place at
more than one place in the value chain it is important to look where this will have the best
impact for the poor.
Construct a matrix as shown in Table 21. For each level of the value chain identify potential
product, process and functional upgrading possibilities. It may not be possible to identify
all three types of upgrading strategy for each level of the chain. If no possibility can be
identified, leave that cell blank.
The choice for upgrading possibilities can also be influenced by external factors such as
availability of labour (permanent of seasonal). In the analysis these elements should be well
looked at.
Step 5 Analyse which options are within reach of the poor (in
terms of knowledge level, investment, use)
3
In this step of the analysis the focus changes to which of the upgrading options are within
reach of the poor. There are many aspects to consider when deciding if an upgrading
option is within reach of the poor.
Some of the important aspects to consider in this step of the analysis are summarised in
Table 23.
Table 23: Important issues to consider when selecting the best potential
upgrading options for the poor.
Take Note
Innovations in knowledge and technology often come from external
service providers (public or private). In many agricultural value chains
the lack of these service providers causes a large bottleneck to the
possibility of upgrading the chain. If present, these service providers
(e.g. extension, vocational training, knowledge providers) need
to be carefully analysed as their presence alone is not enough. It is
also necessary to analyse whether the poor have equal access to these
service providers to improve their knowledge and technology and if
the services offered are suitable to the capacity level of the poor.
Take Note
Describe the type of the service first, without thinking about who
can or should provide the service. This will come in the next phase
of the analysis, working towards intervention strategies.
To identify who could be potential providers of the services, the following lead questions
can be used:
Who are current leaders, owners, manufacturers for the upgraded solutions?
Who have provided services in the past and what was their impact?
Who has an interest in the delivery or availability of the service?
4
PART 4 - VALUE CHAIN ANALYSIS TOOLS
QUANTITATIVE TOOLS
Contents
1.
2.
Introduction .................................................................................................... 91
Objectives....................................................................................................... 91
4
3. Key Questions ................................................................................................ 92
4. Steps ........................................................................................................... 93
Step 1 Opportunity costs or nancial costs? .......................................... 93
Step 2 Calculating costs and required investments ............................. 95
Step 3 Calculating revenues per actor ................................................100
Step 4 Calculating nancial ratios .......................................................101
Step 5 Changes over time ......................................................................103
Step 6 Relative nancial position of actors in the value chain .........103
Step 7 Benchmarking ...............................................................................106
Step 8 Going beyond the quantitative data .......................................106
5. What Should be Known after Analysis is Complete ...............................106
Revenues, costs and margins of value chains should therefore be compared (both different
marketing channels and different product chains), but also the potential for scaling up and
the required investments should be investigated.
After the value chain has been mapped the next step is to study certain aspects of a value chain
in depth. There is a wide choice of aspects that can be further elaborated upon. One of these
is costs and margins. The cost is the money that an actor in the value chain contributes, while
the margin is the money that an actor in the value chain receives, minus the costs.
Analysis of costs and margins enables the researcher to determine how “pro-poor” a value
chain really is. Actual costs and margins should be considered when a researcher aims to
find out whether a value chain is a good source of income for the poor and whether a value
chain is accessible for the poor. Historic costs and margins, on the other hand, enable a
researcher to find out what the financial trends have been in the value chain and whether
the chain has potential to grow in the future.
Take Note
There are two types of growth. The first is economic growth. This type
of growth potentially results in higher absolute incomes for all actors in a
value chain. The second type is called pro-poor growth. This type of growth
generates relatively greater improvements in income and wealth for the
4
poor. Hence in a pro-poor value chain intervention, growth benefits the
poor relatively more than it does other actors in the value chain.
2. Objectives
Knowledge of costs and margins of actors in a value chain enables a researcher to
understand:
1. Costs of entry: identify how operating and investment costs are currently distributed
over the actors in the value chain in order to conclude whether it is possible for the poor
to enter the chain: if operating costs or investment costs for starting up a business are
high it may be a problem for the poor to join the value chain
2. Distribution of costs and margins: identify how revenues and margins are currently
distributed over the actors in the value chain in order to conclude whether actors and
particularly the poor can increase margins in a value chain. In other words, is it possible
to upgrade the position of the poor in the chain by making the chain more efficient
(decrease costs) and effective (increase value)?
3. Change in costs and margins: see how costs and margins in a chain are changing over
time in order to predict future growth or decline of the chain. As some costs increase
or decrease (e.g. petrol costs), so will margins decrease or increase. Therefore, a sector
that might seem to be profitable now is not necessarily profitable next year
4. Value chain comparison: compare profits of one chain with profits in another chain
to see if it would be worthwhile to change chains
Take Note
The main goal of studying costs and margins is to increase the margin
per product unit. However, this does not always reduce poverty: if a poor
farmer increases their profit margin per unit, but sells fewer products,
then the absolute income may decrease. Therefore, researchers should
always combine cost and margin analysis with analysis of total revenues
or income per actor. More information on income is presented in Tool
7 - Analysing Income Distribution.
3. Key Questions
The key questions that need to be answered by the researcher in order to achieve this
section’s objectives are:
1. What are each actor’s costs (both fixed and variable costs) and what are the required
investments for entering a value chain?
2. What are each actor’s revenues in the value chain? In other words, what are each actor’s
sales volumes and selling prices?
3. What are each actor’s net profit, margins and break-even point?
4. How are investments, costs, revenues, profits and margins changing over time?
5. How are investments, costs, revenues, profits and margins divided between the actors
in the value chain?
6. Are the costs and margins of this value chain lower or higher compared to other product
value chains? In other words, what are the opportunity costs of employing production
resources for this particular value chain?
7. Are the costs and margins of this value chain lower or higher compared to similar value
chains in other places?
8. What are underlying causes of the division of costs and margins in a value chain?
4. Steps
Step 1 Opportunity costs or nancial costs?
Cost and margin analysis of a value chain is only useful if producers (farmers or
whomever) are treated as micro-entrepreneurs (i.e. small commercial actors seeking
the most profitable use of their limited resources in the marketplace) rather than as
subsistence actors.
In order to use this type of analysis effectively, it must be recognised that there are important
differences between the way economics and accounting treat costs that should guide both
analysis and decision-making in pro-poor value chain development.
Economists tend to look at opportunity costs, which are the costs of employing production
resources (labour, capital, land) in a particular way, rather than pursuing alternative business
options. Opportunity costs are useful in evaluating what alternative uses of resources could
generate the most income and wealth for producers.
Accountants tend to consider financial costs, the monetary expenditures that an actor in
the chain incurs in carrying out an activity, and which are usually found in any accounts
(formal) or records (informal) being kept by the actor. Financial costs usually do not
consider the alternative uses for resources.
Many farmers, if asked why they shifted from one crop to another in a given season, will
report that they thought that they could make more money. They are thinking about the
relative attractiveness of different options. They may or may not consider all of the costs
involved. For example, the additional labour required for a new crop or the possibility of
renting out land instead of growing on it. Good value chain analysis should try to reveal
the real opportunity costs faced by farmers because these affect choices that producers will
make about what to produce for a given season.
In order for value chain practitioners to reveal the real costs of participation in a value chain,
cost calculations throughout the chain value chain should take into account opportunity
costs for farmer and family labour, the use of land, and capital.
This means assigning a realistic estimated (imputed) value to the value chain participant’s
(and their family’s) time, land, and capital that is dedicated to the activity. If these values
4
are not assigned, analysis will unintentionally treat each of these as free resources, distorting
the true picture of cost, profitability, and sustainability for value chain upgrading. This is
particularly important when small producers hope to move towards more commercially-
oriented participation in value chains. Guidelines for incorporating these values into cost
calculations appear in the box below.
One has to be careful though, not to jump to the conclusion that soybeans or
sesame would therefore be the best choice for the farmers. For example, it should
be noted that in the above analysis labour, mostly family labour, was not included,
and it depends on the labour resources available to the farmer whether or not
soybeans or sesame are really an option for him or her. Also to be considered is the
deployment of other resources such as land use and capital. Is the land suitable for
the production of soybeans or sesame (e.g. soil type, availability of water)? Does
the farmer have the capital required to invest in the production of these crops?
Only if such questions are also answered a recommendation on what would be the
best alternative for the farmer can be formulated.
Warning
When various alternatives are compared, as in the above example of
soybean vs. maize, and one of these shows the highest returns (i.e.
soybean), it does not necessarily mean that soybean is the better
alternative for a smallholder farmer. Soybean is less drought resistant
than maize, so depending on rainfall patterns the farmer could be
taking a higher, and possibly even unacceptable, risk by choosing to
grow soybean rather than maize. All of the risks associated with each
option should be clearly analysed before choosing new activities.
Not all costs are easily categorised into fixed, variable or other costs, and there is not always
a right or wrong category for costs. Assumptions should be made based on the real needs
of value chain development, not based on abstract theories. Regardless of which choice is
made, try to be consistent throughout the analysis.
• Costs of
inventory sold
• Wages related to
production
• Other direct
production
expenses
including losses
• Salaries of non
productive staff
• Ofce supplies
• Insurance
• Legal and accounting
fees
• Travel
• legal costs to have contracts
checked by a lawyer
• information costs for
traders: costs incurred
to obtain information on
which commodities are
available, where, and in
• business licensing
• levies
• grading (external
to the value chain,
e.g. legally imposed
certication)
• grading
(internal to
value chain)
• Principal
• Interest
4
• Utilities which volumes, and from
• Rent whom (trustworthiness)
• Repairs and – telephone costs, time
maintenance spent on driving around
• Depreciation in rural areas on the
• Marketing expenses motorcycle, etc
• Finance expenses • lack of grading standards
(interest and bank resulting in increased risk
charges) of paying to high a price for
the actual quality purchased
Operating costs can be divided in two cost types: variable costs and fixed costs:
A. Variable costs, or costs of goods sold, are costs that change in direct relationship to the
level of production in a given production or sales cycle. Variable costs are the costs that
are relevant to economic decision-making in the short run. Examples of variable costs
in agriculture include fuel, fertiliser, seed, chemicals, animal feed, veterinary medicines,
and water. More complex examples include the cost of extension staff employed by a
company in accordance with the number of outgrowers that are contracted for in a
given season, or the hiring of occasional labour for harvesting or planting.
In the case of cattle raising variable costs include, amongst others, food and vaccinations.
If a farmer has ten cows and decides to raise two more cows he needs proportionally more
food and vaccinations for the two new cows.
Take Note
Instead of simply adding the totals for each of the variable or fixed
costs, it can be worthwhile to assign relevant cost types to different
activities performed by the same actor. For example, the costs for
per diems and fuel for extension officers employed by a company
contracting smallholder farmers under an outgrower arrangement
could be separated over (i) the recruitment and contracting of farmers;
(ii) training activities in accordance with the production cycle (e.g.
nursery management, land preparation and transplanting, field
management, pest and disease control, harvesting, and post-harvest
handling); and (iii) marketing of the produce. Another example is
given below.
Delivery and processing of the milk produced by the cows could take place in two stages;
for example, through one of a series of milk collection centres, from where the milk is
transported to the central dairy plant for further processing. Various costs (variable and/
or fixed in this example) should be assigned to each of the milk collection centres or to
the dairy plant to better understand how each of these cost centres is performing. When
relating the actual expenditures with the amount and quality of milk leaving each of the
milk collection centres it is possible to identify which of the milk collection centres are
under-performing. It may then be possible to identify remedy the bottlenecks.
Table 26: A virtual example of costs for milk collection centres and
dairy plant.
The costs are presented as percentages of the total cost for each expense.
Milk collection
centre A
Milk collection
centre B
O&M
3%
2%
& Postage
5%
5%
4%
3%
10%
5%
15%
10%
Charges
15%
15%
4
Milk collection
centre C 2% 5% 3% 5% 10% 15%
Dairy plant 93% 85% 90% 100% 80% 65% 100% 55%
Most variable costs are easy to calculate as they change with the same proportion as the
output. However, there are some exceptions, for example transportation costs. These
do not always change in proportion with the volume traded. A 25 ton truck can, for
example, transport 25 tons of bamboo, but also 10 tons and, over short distances, even
40 tons. Transportation costs per ton of bamboo therefore vary depending on the total
amount of bamboo that is transported. If real costs are not known a researcher needs to
make assumptions on the average costs. The following example explains how to calculate
transport costs.
Another cost that is often ignored is the cost of losses. Particularly if products are perishable,
such as many fresh products, a certain amount of the traded products will usually be lost.
The example in Box 26 below shows how losses should be calculated.
B. Fixed costs on the other hand are costs that are independent from the size of
production.
In case of the cattle example, fixed costs are items such as investments in stables and land.
Even though the farmer decides to raise two more cattle, there is usually no immediate need
to buy additional land or build a new stable. Other fixed costs examples are depreciation
(replacement) costs, capital costs (interest on long-term loans) and in more advanced
businesses promotion costs, stationeries and office personnel (not related to the primary
production process).
Take Note
As fixed costs do not change with the size of production there is a
risk that certain costs are not acknowledged or reported by actors in
a value chain. Also, certain costs apply to more than one product.
For example, a cattle raiser may also raise pigs that are kept in the
same stable. The costs for the stable should therefore be split between
the cattle and the pigs. If not, the costs taken into account by the
researchers may be too high, or too low.
Investment costs are explored through analysing a value chain actor’s required capital for
starting up his business. In formal accounting, investment costs are considered a type of
fixed cost, but in pro-poor value chain development, they should be analysed as a key
potential obstacle to entering and participating in a value chain.
In other words, what assets does an actor need to possess (through buying or renting)
to be able to run his business? Finding this out is important in judging whether a value
chain is accessible for the poor. For example, a food value chain may require high quality
standardised products that cannot be produced manually. This means that expensive
machines are required for entering this market, so even though a farmer produces the right
raw material the market is not accessible. A complete picture of investment costs is also
relevant for calculating depreciation costs.
Take Note
Depreciation means the wearing out of capital goods, such as machines
4
and equipment, which need to be replaced after a while. To be able
to pay for replacements companies should save money. The costs of
these are called depreciation costs. However, as depreciation costs
are not expenses they decrease income but not cash money. Quite
understandably poor farmers and micro enterprises usually do not
calculate depreciation costs. They need all their income to survive.
Once all the different cost types have been calculated it is possible to present the figures in
a table, which may have the format as presented in Table 27.
Transaction Costs
An example of this last source of income is in the bamboo sector, where leftovers are used
for producing paper pulp or fuel.
Prices differ per marketing channel or per market segment and sometimes per grade or
per quantity sold. Prices can also change over the season. Prices can even vary during
one single day, like in many fresh vegetables markets. Therefore, surveys should include
questions related to what the prices in different markets, for different products and during
the different seasons, are. For calculating average prices, these should be weighted. An
example of how to do this is provided in Box 27 below.
Take Note
The price a producer receives for his crop may vary according to the
volume he has for sale. For example, a trader looking to buy 1 ton of
a commodity would be willing to pay a better price if he can purchase
it all from a single farmer. He will pay less if he has to purchase 100
kg of the same quality from ten different farmers as he will incur more
costs in collecting, i.e. the trader has a higher transaction cost; see
Table 25.
When studying a market over a longer period of time, for example over a ten year period,
it is necessary to incorporate inflation and deflation rates. To do this, a base year, against
which all prices are adapted, needs to be chosen. If this is too complicated a researcher
should at least mention that there had been inflation or deflation in order to make a reader
aware of the situation.
Take Note
During interviews many different cost and price units might be used.
For example, handicrafts producers sometimes refer to their production
volume in pieces, sometimes in tons and sometimes in containers.
This can particularly be confusing when the study is conducted by
more than one person. It is important to either agree upon which unit
of measurement is used, or to determine how many units fit into one
container or ton.
A. Net Income
Net income, or profit, is calculated by deducting total costs (both variable and
4
fixed costs) from revenues.
This is a simplified example and in reality there may be other costs. An example
of a rice farmer’s costs, revenues and margins is presented under Useful Examples
- Example 3.
E: Return on Investment
Calculating the return on investment (ROI) for each actor in the value chain shows
how attractive the activity is relative to other potential uses of capital.
Basic ROI calculations can be correctly performed only if, as in example A, realistic
depreciation of fixed assets is calculated, and if producers’ own labour costs are
counted among variable costs of production. If an enterprise’s total capital costs
are attributed to a single year’s production, more capital intensive activities will
look much less profitable, while if “imputed” labour costs are omitted from the
calculation of variable costs, ROI from labour intensive activities will appear to be
much higher.
Another example can be taken from the commodity product market. Usually, when a
country develops and people earn higher incomes, the demand for and hence revenues
from commodity products, such as rice and maize, increase rapidly. As a consequence
many farmers start growing these products and existing farmers intensify their production.
The demand however only grows up to the point that people have sufficient food because
people can only eat a certain amount of rice and maize. After that point, when supply
exceeds demand, prices and hence revenues go down, and farmers may need to diversify
their production.
There are several ways to present the financial position of actors in a value chain, for
instance in a table or through a diagram.
In Table 28 and Table 29 an example of how to calculate the value added margins and profits
along a chain is given. Table 28 gives the formulas used to do the calculation and Table 29
provides a worked example. The calculations appear difficult, but are easily implemented
in an Excel Worksheet.
*Added unit costs refer to the added costs at each stage of production net of the procurement cost
from the previous stage.
The diagrammatic presentation of the value chain margins is shown in Figure 16 below.
Figure 16: Value chain margins for the actors in each level of the value
chain as a percentage of the overall value added
A visual way to show the division of costs and margins is to include the cost and margin
data in the value chain map; see Box 28. A similar map can be also drawn up for presenting
the investments per actor.
Box 28: Revenues, costs and profit per unit in the value chain of
1 litre fish sauce (quality 2)
After data have been presented a researcher can start the analysis. In Figure 16, for example,
it may be evident that the farmer incurs high costs and has little profits, while the trader
has little costs and relatively high profits. This suggests that costs and margins are shared
unequally in the value chain and could be an intervention point for a project. One such
intervention might be scaling up the business of an actor in a chain in order to make the
business more attractive for the actor. A good example comes from the bamboo sector in
Vietnam. Currently most bamboo growers sell whole bamboo culms to paper, chopsticks
and bamboo flooring enterprises. These enterprises cut the bamboo culms and subsequently
only use part of the culms for processing. Leftovers are usually used as waste or in some
cases as fuel. If farmers were to cut the trees themselves and sell only the relevant parts to
each buyer, they could receive higher profit margins.
Step 7 Benchmarking
Comparing similar value chains in different regions will provide information on the
potential for efficiency gains. For instance, rice farmers in Northern Vietnam spend 1
million VND on inputs per ha, while their counterparts in the central highlands only
spend 500,000 VND per ha. This could mean that prices for inputs are different (which
would provide an opportunity for market entrants) or that farmers in Northern Vietnam
use too many inputs. A situation like this provides an opportunity for the farmers to learn
from each other’s production techniques, although it is important to ensure that all units
are the same before making comparisons.
Useful Examples
Example 3: Cotton crop budgets for smallholder farmers in Zambia
The rain-fed smallholder cotton sector in Zambia had several years of stagnant yields of
600 kg/ha or below which was often attributed to a lack of fertilisers. A private sector
company aimed to increase cotton yields of their contracted smallholder outgrowers
through rolling out an extension programme focussing on the five key basic principles
of cotton crop husbandry: early land preparation, early planting, thinning and gap filling
to obtain an optimum plant stand, timely weeding, and an integrated pest management
(IPM) approach to pest and disease control.
Without the use of fertilisers, and with the same amount of labour input, yields were greatly
improved. As shown in the table below, non-collaborating farmers (NCF) achieved yields
of 537 kg/ha on average, while collaborating farmers (CF) under the programme achieved
yields of 902 kg/ha on average. Lead farmers (LF), who were more actively and directly
supported by extension staff employed by the private sector company as intermediaries
to reach the large numbers of collaborating farmers, achieved yields of 1,281 kg/ha. On
closely monitored farmer-managed demonstration plots average yields of 1,892 kg/ha were
achieved, showing the further potential for increased yields.
With 50,000 farmers benefiting from the programme in the first two years, and assuming
an average yield increase of 400 kg/ha at USD 0.35/kg, the total benefits accruing to the
farmers amounts to USD 7,000,000 per annum, against an investment in the programme
of under USD 2,000,000.
NCF Yield 537 kg/ha @ ZMK 1,120 601,440 601,440 601,440 601,440
Prot 395,440 -92,560 107,440 -152,560
Return on Family Labour (ZMK/day) 3,215 -6,170 7,160 -10,170
Demo Yield 1,892 kg/ha @ ZMK 1,120 2,119,040 2,119,040 2,119,040 2,119,040
Additional man days/cost harvesting (+1,355 kg) 45 6 270,000 6 270,000 6 270,000
Total man days/cost 168 206,000 21 964,000 21 764,000 21 1,024,000
Prot 1,913,040 1,155,040 1,355,040 1,095,040
Return on family labour (ZMK/day) 11,387 55,002 64,526 52,145
Contents
1. Introduction ...................................................................................................111
4
2. Objectives.....................................................................................................111
3. Key Questions ..............................................................................................111
4. Steps .........................................................................................................112
Step 1 Dene categories ........................................................................112
Step 2 Calculating incomes per unit of output ....................................113
Step 3 Calculating the net income at each level of the value chain114
Step 4 Calculate the wage income distribution ................................. 116
Step 5 Calculate income variability over time ....................................118
Step 6 Appraising the place of income in livelihood strategies ......119
Step 7 Comparing incomes across different value chains .................122
5. What Should be Known after Analysis is Complete ...............................124
Analysing distribution of income is not only an analysis within a particular value chain
but also recognises that individual actors participate in a number of different value chains
at the same time. For example, a farmer may be involved in several agricultural crops
and several handicraft activities as a means of income diversification. A trader might be
involved in trading multiple agricultural products at the same time or at different times of
the year depending on the season. Therefore, livelihood strategies made by various actors
are influenced by the sum of their income sources and any analysis must take this into
account.
2. Objectives
1. To analyse the impact of value chain participation on the distribution of incomes within
and between various levels of the value chain at the level of the individual actor.
2. To analyse the impact of different value chain governance systems on income distribution
and on final product price.
3. To analyse the distribution of income at a whole of enterprise level and to analyse how
that impacts on value chain participation and decision making.
4
4. To describe the impact of income distribution on the poor and other disadvantaged
groups and the potential for poverty alleviation from different value chains.
3. Key Questions
Are there differences in incomes within and between different levels of the value
chain?
What is the impact of various governance systems on income distribution between and
within various levels of the value chain?
What are the impacts of the distributional outcomes of the value chain on the poor and
other disadvantaged groups, both currently and in the future?
What are the changes in incomes that result from the development of various types of
value chains?
What is the variability of incomes and risks to livelihoods within and between various
levels of the value chain?
What is the contribution of the particular value chain to the whole of enterprise income
and how does this influence decision making?
Terminology
Income is defined as the earnings accruing to an economic unit during
a given period of time. Income comprises the money received from the
sale of goods plus the value of self-consumed output minus the costs
of production.
The costs of production comprise the costs of inputs, depreciation on
capital equipment, interest payments and taxes.
Unlike profits (sales minus costs), where costs of production include
the opportunity cost of own labour, income does not deduct the cost
of own labour (since this accrues to the enterprise as “income” from
labour). However, the cost of hired labour is deducted as this is a cost
to the enterprise.
Cash income can be distinguished from non-cash income where a
barter system occurs. For example, hired labour is sometimes paid
for in a combination of cash as well as benefits (food, healthcare,
pensions).
4. Steps
Step 1 Dene categories
To analyse incomes within value chains it is important to first categorise actors. The
mapping of the value chain as discussed in Value Chain Toolbook - Part Two (Tool 2)
generally provides a map of actors within categories and this can be used as a basis to add
income specific information. Categorisation should include a distinction between poor
and non-poor actors as a starting point for analysis of incomes.
An example is given below for the value chain for rice in Cambodia. The value chain is
divided into the size of operations at each level of the value chain (low, medium and high
technology and volumes), as well as the mode of operations (contract milling, medium
and large mills). In this example, each level of the value chain is separated into different
categories for poor, medium wealth and better-off actors (distinguished by different colour
coding). Thus, low and medium level technology farmers are more likely to comprise poor
households, while the high technology and contract farming households are more likely to
comprise medium wealth households.
Take Note
Poverty levels are a relative measure and it is difficult (and perhaps
unwise) to be comparing poverty (as defined by income) between
value chain levels. For example, a poor farming household earning
USD 1 per day cannot be compared against a poor factory worker in
the city earning USD 4 per day. Both are poor relative to other actors
within their particular level of the value chain but there is clearly a
difference between USD 1 and USD 4.
Small
Medium
Medium
Small Contract Local Retail
Good
Medium Medium
High
Large Large
High Value Local
Medium
Giants Export
Poor Better Off
4
Wealth
Other measures of income (such as purchasing power) may be a better reflection of differences
between different levels of the value chain. Use can also be made of official poverty lines,
which are often different between urban and rural areas or between mountainous rural
areas and flat land agricultural areas.
After the actors at each level of the value chain have been categorised and mapped the
calculation of income per unit of output can be carried out at each level of the chain and
for each actor. Income per unit at each level is determined using the tools outlined in Value
Chain Toolbook - Part Two (Tool 6). Recall from above that income is different from profit
in that the cost of own labour is not deducted from the calculation.
To determine income distribution the net income per unit at each level is multiplied by the
sales volume at each level. Net income per unit is calculated as total revenue minus total
costs (where total costs include hired labour costs but do not include own labour costs).
In the example in Table 32 below, the net income and sales volume are used to calculate
income earned by each actor at each process level in the value chain1.
Table 32: Example of income distribution along the value chain for silk
in Thailand
The average net income level accruing to actors at each level of the chain should be
benchmarked (compared with) the official poverty line and a subsistence level of expenditure
to determine if the income level generated by the activity at that level of the value chain is
sufficient to maintain or improve livelihoods. Using the benchmark level of poverty, and
the profit margin and income information, a calculation can be made to determine how
much of a particular activity would need to be undertaken in order to generate an income
higher than the poverty line. Examples could include: how many hectares of rice cropped
or how many tons of fruit traded.
Benchmarking incomes relative to the poverty line is a first way to consider the involvement
of the poor in the value chain. A study of supermarket and street vendors (Moustier, Anh
et al. 2006) compared street vendors’ incomes with the 2005 poverty threshold in Hanoi,
(500,000 VND/month) and found that 18% of street vendors are poor, while no poor
households were found in the formal markets, nor in the shops or supermarkets.
Comparing income with subsistence level expenses is another way to appraise the role of
the participation in the value chain in livelihood strategies. For example, the incomes of
1
The analysis indicates an immediate opportunity for intervention in the value chain; providing opportunities for farm households to also undertake weaving activities.
The weaving step is where the majority of the value added occurs, so any intervention which promotes upgrading will enable poor farming households to increase their
income.
peri-urban vegetable commercial farmers in different African cities have been compared
with the income necessary for subsistence (Moustier and Danso 2006). In Brazzaville and
Bangui, at the time of surveys, market gardening yielded enough income to provide for
the basic food requirements of the family, plus housing, clothing and schooling expenses;
see Table 33. In this case, even if the total number of farms is small as compared with
total urban population, their functioning demonstrates that urban agriculture is one of
the sources of stable income that should be protected and considered a portfolio of cash-
earning activities that require limited starting capital.
In the example in Figure 18 below, net incomes from the production of rice in the Red
River Delta of Vietnam was calculated according to land area, and compared against
the official poverty line. The example shows that 0.57 ha of paddy would be needed to
increase the net income of the household from rice production to take that household up
to the poverty line. Given the allocation of land per household usually is around 0.144
ha (360m2 per person and up to four people per household), the analysis implies that
unless yields can be dramatically improved poverty alleviation cannot be achieved by rice
production alone. Therefore, alternative income generating activities and value chains need
to be considered.
Figure 18: Comparison of net incomes from rice production with the
official poverty line – minimum area of rice land required to support a four person
household in the Red River Delta of Vietnam. The official poverty line is shown by the red
horizontal line. The graph demonstrates that 0.57 ha of paddy is required for the harvest
to generate enough income to equal the official poverty line.
In order to calculate the wage income distribution along the value chain, separate the
wage components in the partial budget calculations for margins and incomes. The value
of costs (represented by wages multiplied by the value of sales at each level) will give the
level of wage income at each level of the value chain. The comparison of wage incomes over
different levels of the chain, combined with the categorisation completed in Step 1, gives a
picture of the distribution of benefits to individuals within the framework of enterprises at
each level of the value chain. Wage costs can be especially high for large-scale farms, as well
as processing companies. An example calculation is provided in Table 34 below.
In this example total wage costs, as paid by farmers and processors, are a little more than
farmers’ and processors’ profits. If all profits and wages are used as household incomes
(which means that some of the profits are not used for investments) it can be concluded
that the chain generates USD 325,000 in terms of incomes (USD 150,000 profit and USD
175,000 wage costs).
Farmers’ Revenue 3
Processors’ Revenue 10
In the example in Table 35 below looking at profits along the chain would suggest that
farmers earn USD 15.9 million and processors earn USD 0.99 million. When wages are
taken into consideration it can be shown that the processing industry contributes USD 9.6
million to the Zambian economy in hired labour alone, while the farm level contributes
USD 7.3 million.
Processor
Wage Costs 52.20 6 9,573,000
Prot 5.40 6 990,000
In the analysis of income distribution, care should be taken to differentiate between paid
labour and unpaid family labour. Although unpaid family labour does not incur a cash
cost, it does incur an opportunity cost, frequently calculated using the local paid labour
rate. This is explained in more detail in Value Chain Toolbook - Part Two (Tool 6).
Overall, cash is most constrained in the period just prior to harvest. After a large harvest,
households often have sufficient cash for their needs before planting begins and inputs
need to be purchased. There may be large differences between households in different
locations. This is a function of market access as households in remote areas have to rely
on their own resources to make ends meet during the lean months. There may also be
significant differences between the cash constraint profiles of poor, average, and better-off
households. Box 29 below gives an example of a simple survey instrument designed to
determine seasonal levels of cash constraint.
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Surplus Cash
Enough Cash
Lack of Cash
By cross-referencing the data collected using the survey tool above with the categorisation of
poverty levels, a graph can be produced focusing on cash constraints. This type of analysis
can highlight the seasonality of cash constraint and surplus in certain value chains. This
is not limited to agricultural crop cycles but can also be a result of changes in consumer
demand, for example tourist seasons.
In the example previously of street vendors in Hanoi and peri-urban agriculture in Africa,
the business represented more than 90% of cash income of the household, which means that
an improvement of the income generated by the value chain will have significant impact
on the family incomes. Therefore, the participants in the value chain will be particularly
willing to invest their energy in the upgrading of the value chain, which may not be the case
if the commodity had a more minor contribution to the household income.
4
In the example in Box 30 below, the contribution of different household activities to
total household livelihood is calculated using a survey questionnaire. It is important to
distinguish between activities that derive income (through cash sales) and those that are
carried out for household consumption purposes.
Valuing Activities
Identify the activity with the highest income weighting. Ask the farmer to estimate what the value of that activity was in terms of
sales. Reconrm the relative weightings of each activity for the Income column in terms of value. Calculate total Farm Income below.
Farm and non-farm activity Income and capital Weighting (From Above)
accumulation Value
(in Local Currency)
C.16 (A) % (B)
C.17 TOTAL FARM INCOME (Cash and Consumption) =A/B*100 100%
Once total Farm Income has been calculated, the percentages for each activity can be then re-calculated into monetary value for
comparison between farmers.
The results of the above survey can be averaged across categories of respondents and
then re-calculated in % terms for comparison purposes2 . In the example in Table 36
below, focusing on the cash returns alone results in the conclusion that off-farm work and
remittances are the most important income sources. This is followed by small livestock
production and upland crops whereas rice is clearly the most important activity after own
consumption is factored in.
4
Source: (UNDP and NERI 2005)
Traders are also likely to have multiple income sources. One trader may be involved in
maize, cassava, and soybeans either simultaneously or on a seasonal basis. This means that
decisions to participate in any particular value chain are contingent on factors which could
be outside the single value chain. For example, a trader may decide to liquidate maize
stocks at a loss rather than wait for an imminent price rise if he has to use the storage space
and cash liquidity to engage in the upcoming soybean season.
2
It is important to recognize that just using percentages will not allow a comparison across different groups, as all income sources
add up to 100%. The data need to be converted into USD values and then averaged within stratification groups. Once averages
(means) have been calculated, these can then be converted back into percentages for comparison between groups.
A researcher may wish to compare incomes across different value chains, such as within
a commodity but across different governance structures, or across commodities (value
chains) within a particular area. It is important to recognise that comparing different value
chains in different areas without considering the different agro-ecological systems (for
production) or the different technologies available (low technology milling versus high
technology milling) may result in incorrect conclusions.
For the first case, comparing across different governance structures, the following
example shows profit margins for producers and processors across three different value
chain governance systems for cotton in Zambia. The first governance system is called the
Distributor System. This system follows a Principle-Agent model of organisation where
the processor makes contracts with traders who are then responsible for the distribution of
inputs and services and the collection of the crop. The second governance system is called
the Contact Farmer System where the processor has a system of field agents and extension
advisors who are employees of the company. The third governance system is a Side-Buyer
System where the processor does not invest in providing inputs or services to farmers
but relies on attracting farmers currently under the two other systems to renege on their
contracts by offering a slightly higher price.
The analysis shows that farmers are better off in the side-buyer value chain as the profits
are slightly higher than the other two systems. However, as the discussion in Value Chain
Toolbook - Part Two (Tool 3) indicates, such a strategy may not be sustainable in the long
run as it could force the other governance systems out of the market and farmers would
lose the advantages of having their inputs and services provided by the lead firms. The
analysis also shows that while the side-buyer processor has the greatest profit (since they
do not have to spend any money on inputs or extension), the distributor model is more
profitable than the Contact Farmer model since the Contact Farmer processor has to spend
their own money on the logistics of providing inputs and services as well as collection of
the harvest.
Comparing the incomes in the value chains before and after upgrading is also a good
way to assess the economic impact of value chain upgrading. Yet it is often difficult and
time-consuming to carry out “before” and “after” evaluation, and comparing “with” and
“without” situation at the same period of time, for different actors, is generally more
feasible.
Similarly, comparing incomes across value chains is a good indicator of alternative activities
which households could undertake. In the example below, the value chains for five different
sectors in Zambia are compared for employment and income. The results indicate that
sugarcane and export horticulture value chains are the two chains with the highest income
per capita; the domestic horticulture and cotton chains have the two lowest incomes per
capita. This suggests that interventions to get greater numbers of people into the sugarcane
and export horticulture chain would have the most benefit. However, a deeper analysis
of the five chains suggest that barriers to entry for these two chains are significant (hence
their greater returns) and that improvements in the cotton and domestic horticulture chain
would yield more significant benefits, and impact on more households.
Value Chain
Cotton
Tobacco
Sugarcane
Sector Earnings
(USD million)
81
63
65
Wage
Employment
2,300
92,000
4,000
Small Farmers
280,000
23,000
1,692
Earnings per Person
(USD/day)
1.30
2.49
51.91
4
Export Horticulture 55 14,500 2,500 14.71
Domestic Horticulture 116 10,000 525,406 0.98
Are there differences in incomes within and between different levels of the value
chain?
What is the impact of various governance systems on income distribution between and
within various levels of the value chain?
What are the impacts of the distributional outcomes of the value chain on the poor
and other disadvantaged groups, both currently and into the future?
What are the changes in incomes that result from the development of various types of
value chains?
What is the variability of incomes and risks to livelihoods within and between various
levels of the value chain?
Useful Examples
Example 5: Differences between the distribution of unit prots and
incomes.
Moustier et al (2006) assessed the distribution of costs and profits* between the different
actors of the following off-season tomato chains in Northern Vietnam:
Among the different value chain actors, it is the collectors and wholesalers selling
vegetables of Moc Chau who get the highest incomes. This is due to the large quantities
traded as their profits per kg are smaller than other actors; e.g., 19-5 Cooperative
and Van Tri Cooperative (for tomato, 105 ton/year for collectors, 132 ton/year for
wholesaler, 6 ton/year for Bao Ha, 13 ton/year for 19-5, 12 ton/year for Van Tri). It is
worth investigating the reasons behind these differences in quantities traded. It may be
a function of the number of years in the business, or the fact that the cooperatives prefer
the reliability of their suppliers in terms of product quality rather than the number of
suppliers and their large scale.
Compared with the other actors, supermarkets get relatively low margins (less than
20% of final price, while the farmer’s margin is more than 25%);
Selling to supermarkets does not bring more income to farmers than selling to safe
vegetable shops, even though the retail price is 20% higher. The price difference is
distributed into increased profits for the assembling and distribution cooperatives (Van
Tri, Van Noi) and company (Bao Ha), and into the supermarket margin. Compared
with safe vegetable shops, supermarkets represent more constraints for their suppliers,
in particular as regards the possibility of returned products.
Note: in this calculation, we assume that the actors get the same profit per kg for all
vegetables traded; therefore, the figures of total incomes should be taken for comparison
rather than in absolute terms.
* Profits = Sales revenue – Cash costs – Depreciation (see Tool 6 - Analysing Costs and
Margins).
Example 6: Unit profits and incomes along the value chain for onions.
The analysis of distribution of incomes among actors in the onion value chain from Niger to
Ivory Coast in 1995 shows that incomes are higher by far for urban wholesalers, and lower
for producers and retailers, even though the retail stage has the highest profit per kg.
A significant part of wholesalers’ incomes is actually distributed to other actors of the chain
in the form of gifts, in kind and cash, to help them in difficult times.
Contents
1.
2.
3.
Introduction ...................................................................................................129
Objectives.....................................................................................................129
Key Questions ..............................................................................................129
4
4. Steps .........................................................................................................130
Step 1 Define the categories of actors .................................................130
Step 2 Determining employment at each level ...................................131
Step 3 Calculate the employment distribution at different levels of
the value chain .............................................................................133
Step 4 Analysis of the employment distribution contribution ............135
Step 5 Determine the impact of governance on employment .........137
Step 6 Determine the impact of technology structures on
employment ..................................................................................138
Step 7 Determine the employment variability over time ..................139
5. What Should be Known after Analysis is Complete ...............................142
The second part of this tool looks at whether there is room for improvement in the
distribution of labour and how this can be done, taking into account seasonality in demand
and availability of labour and also the competitiveness between labour intensive and labour
saving upgrading strategies.
2. Objectives
1. To analyse the impact of the value chain on the distribution of employment within and
between various levels of the value chain at the level of the individual actors.
2. To describe distribution of employment along the value chain and amongst the different
wealth classes; and determine how the poor and other disadvantaged groups participate
in the chain.
3. To describe the dynamics of employment within and along the value chain and the
inclusion and exclusion of the poor and other disadvantaged groups.
4. To analyse the impact of different value chain governance systems on employment
4
distribution.
5. To analyse the impact of different value chain upgrading strategies on employment
distribution.
3. Key Questions
What are the differences in employment within and between different levels of the
value chain?
What is the impact of the employment distribution of the value chain on the poor and
other disadvantaged groups, both currently and in the future?
What are the changes in employment that result from the development of various types
of value chains?
What is the variability of employment and risks to livelihoods within and between
various levels of the value chain?
What is the impact of various governance systems on employment distribution between
and within various levels of the value chain?
What is the impact of various value chain upgrading strategies on employment
distribution between and within various levels of the value chain?
4. Steps
Step 1 Dene the categories of actors
To analyse employment distribution within a value chain it is important to first categorise
actors. The mapping of the value chain as discussed in Value Chain Toolbook - Part Two
(Tool 2) provides a map of actors within categories and this can be used as a basis to add
employment specific information.
There can be different types of farmers, collectors, wholesalers and retailers. As was the case
with defining the categories for income levels along a value chain in Value Chain Toolbook
- Part Two (Tool 7), the most important categorisation for pro-poor value chain analysis is
based on income levels (a distinction between poor and non-poor actors).
For example, for flower retailers in Hanoi (Vietnam) there are at least three different broad
categories; hawker, retailers in open air markets, and retailers in their own flower shops. These
retailer categories are very much related to the different wealth levels, with hawkers being the
poorest. Other examples of categories that could be used are presented in Box 31 below.
Categories Dimensions
Skills Unskilled, low-skilled, high-skilled
Gender Male or female
Ethnicity Different ethnic types
Business Type Micro, small, medium, large
Period Day labour, temporary labour, permanent labour
Status Family, hired
Origin Temporary migrant, permanent migrant, locally hired
Take Note
Within specific groups it may be important to look at age distribution.
For example, in rural Vietnam it is becoming obvious that the average
age of farmers is increasing because younger people find it easier and
more attractive to find employment elsewhere. Even if employment
opportunities exist this does not mean it is open to each age group,
gender or social group.
Employment at each level of the value chain can be determined in different ways:
2. Retailers: Based on the total traded volume of a product in a value chain and the daily
turnover of a retailer one can calculate how many retailers are involved. But if additional
time is available count all retailers in a sample area (e.g. open air market retailers) and
then apply the figures to calculate the retailers in a total area. For example, count the
total number of open air markets in a city (e.g. 130) and then take a random sample
of various open air markets (e.g. 15). Visit these open air markets, count the number
of retailers in these markets or ask the market administrator (if present) how many
booths he rents out. Calculate the average number of retailers per open air market and
multiply by 130 to get a rough estimate.
3. Transporters: Estimate the total volume of sales, and the typical volume per transport
unit (e.g. trucks, motorbike, carts, boats). Then estimate the number of people
required per transport unit, the time required to transport, and the number of full
time equivalent employees (FTEs) this generates.
4
4. Processors: Identify the number of processors in an area from official sources (e.g.
registration certificates); identify the number of informal processors from key informant
interviews.
5. Collectors: Conduct interviews with village leaders or commune heads. Estimate the
number of collectors under each trader/wholesaler. Estimate the total volume of sales, and
the typical volume per transport unit. Then estimate the number of people required per
transport unit, the time required to transport, and the number of FTEs this generates.
6. Farmers: Estimate the number of farmers based on hectarage under each crop and yields
(related to traded volumes). Cross check with district authorities for official figures.
Obtain information on sales of key inputs sold by input providers at bottleneck points
(e.g. seed). Be sure to distinguish between smallholders and commercial farmers.
8. Input suppliers: Seed, fertiliser, nurseries, breeding station owner. Estimate volumes
demanded in the market and volumes provided by the average input supplier. Estimate
average employment per input supplier and estimate the total number of FTEs this
generates.
9. Service suppliers: Extension, design, marketing etc. Estimate how much of the services
provided by the suppliers feed into the specific chain (and not to other chains).
A fast way to get an idea of the number of actors in a value chain is to carry out interviews
with wholesalers. Wholesalers are often located in just a few locations and there is usually a
small number of wholesalers compared with the number of farmers, collectors or retailers.
Through a combination of census counts (counting the total number of wholesalers in a
certain location) and interviews with a number of wholesalers it is possible to get a good
estimate of the total traded volume of a product in the value chain (e.g. tons of avocados,
or number of roses). Conducting interviews with the other actors in the chain to estimate
their typical turnover allows an estimation of how many actors are involved.
As many actors in agricultural value chain are only involved seasonally, it could be useful
to convert the collected employment data into a standardised indicator. This allows
comparisons among various value chains, for example using the number of FTEs as the
main indicator for the employment created by a certain value chain. One just simply defines
or agrees on how much labour days per year are considered 1 FTE, for example 240 days.
If someone only works for 120 days, this is accounted as a half FTE. It is also important
to consider both direct and indirect employment in administration and ancillary services.
In another example, farmers can hire labour to work on lower valued crops while they
concentrate their own labour on higher valued crops.
Take Note
For a quick insight in the employment generation by a value chain focus
resources on the use of participatory analysis tools with wholesalers and
transporters. They are often concentrated in just a few locations (saves
time in visiting) and have a very good overview of traded volumes and
the various upstream and downstream channels.
Due to employment diversification strategies, the employment in one value chain may be
only a small fraction of the total employment of a household; especially for service activities
all along the chain. The share of employment represented by the value chain should be
calculated to accurately model livelihoods and livelihood responses. In the example in
Table 40 below, the share of employment in different livelihood activities was calculated
for farming households in Laos across different income levels.
Figure 22: Example of employment over different stages in the value chain
Traders/Faria Selling
Hatchery Fry to farms Wild Fry Aratda (1,325)
(1,266)
Commission Agents
(500)
Processing Plants
(3,147)
Note: Faria, Aratdar and agents are specific types of middlemen engaged in the shrimp value chain in
Bangladesh
Source: (BCAS 2001)
Take Note
Estimating the levels of employment at each level of the chain is
difficult. The information often does not exist and large assumptions
need to be made. For example, if total volumes of production are
known, and the average production per farmer can be estimated, then
employment at the farm level can be calculated. Similarly, average
volumes of trade by individual wholesalers can give an estimate of the
number of wholesalers in the value chain.
4
an avocado value chain analysis was carried out in Dak Lak Province. As avocado
trees are mostly grown as shade trees or windbreakers around coffee fields, the
avocado sector in Dak Lak has not been very visible for policy makers. On average
a farmer has about five avocado trees, which might suggest that avocado is not an
important product in Dak Lak. Based on data collected during a rapid diagnostic
appraisal and a short survey among the 98 major avocado wholesalers in Dak Lak
province it was possible to calculate the number of persons involved in the avocado
sector. This example only makes estimates of the avocado sector in Dak Lak and
does not include all the employment involved of wholesalers and retailers in Ho
Chi Minh City, Hanoi and all other cities to which the avocados are transported.
Based on the census it was estimated that during the main avocado season, 337 ton
of avocados per day are exported from Dak Lak to other provinces in Vietnam. This
figure was obtained through very short interviews (max 20 min per wholesaler)
with almost all avocado wholesalers in Dak Lak province. These 337 ton per day
are only exported during the main season, which lasts four months. Avocado is
also traded during the other eight months of the year but in very small volumes.
Employment analysis was focused on the main season only, so the data presented
below are an underestimation of the employment generated by the sector.
In addition to the 100 avocado wholesalers there are also about 1648 active
collectors. These actors play the most critical role in the avocado value chain as
they harvest and collect the avocados. They visit the farmers and harvest one or
two trees per visit. In total about more than 80,000 farmers are involved, with an
estimated harvested area of more than 2,600 ha.
These data do not include the employment the sector generates for a business
service provider like the bamboo basket makers. All avocados are transported in
large bamboo baskets, with each basket containing about 100 kg of avocadoes.
This means that every day about 3,368 bamboo baskets are required. As the baskets
are recycled and data was not collected about this no estimate was made of the
employment generation for bamboo basket makers, but it must be significant.
It was further calculated that the total value added of the avocado sector in Dak
Lak province was almost USD 7 million in every main season. With these data and
the employment estimates it was possible to create an increased awareness among
provincial policymakers about the economic importance of the avocado sector in
Dak Lak.
Source: (Wijk 2006)
Value Chain Sector Earnings Wage Employment Small Farmers Earnings per
(USD million) Person (USD/day)
Cotton 81 2,300 280,000 1.30
Tobacco 63 92,000 23,000 2.49
Sugarcane 65 4,000 1,692 51.91
Export Horticulture 55 14,500 2,500 14.71
Domestic Horticulture 116 10,000 525,406 0.98
Source: (Purcell, Gent et al. 2008)
4
Coodinator (18) (2/DM, 12 total) AMOs
Also, the opportunities for the poor to participate in the supermarket-driven chain as
supplier or trader of produce tend to be fewer because of stricter quality and consistency
of supply requirements by supermarket chains as compared to less advanced types of retail
distribution.
Component 1
Informal markets
Street vending Poor
Poor
Poor
4
cells, asking the farmer to verify that the relative weightings are correct.
Farm and non-farm activities Jan-Feb Mar-Apr May-Jun July-Aug Sept-Oct Nov-Dec
Rice __% ___% ___% ___% ___% ___%
Root and Tuber Crops (cassava, potato etc) __% ___% ___% ___% ___% ___%
Upland Crops (maize, other cereals, legumes etc) __% ___% ___% ___% ___% ___%
Vegetables __% ___% ___% ___% ___% ___%
Perennial Crops (rubber, coffee, pepper etc) __% ___% ___% ___% ___% ___%
Annual Industrial Crops (sugarcane, cotton, etc) __% ___% ___% ___% ___% ___%
Fruit Trees __% ___% ___% ___% ___% ___%
Fishing and Aquaculture __% ___% ___% ___% ___% ___%
Small livestock (poultry, pigs, goats, etc) __% ___% ___% ___% ___% ___%
Large Livestock (cattle, buffalo, etc) __% ___% ___% ___% ___% ___%
Non-Timber Forest Products __% ___% ___% ___% ___% ___%
Forest Products __% ___% ___% ___% ___% ___%
Other Farm Activities __% ___% ___% ___% ___% ___%
Handicrafts and Weaving __% ___% ___% ___% ___% ___%
Off-Farm Work (Not Including Remittances) __% ___% ___% ___% ___% ___%
Check Sum Total = 100%
Source: (UNDP and NERI 2005)
The questionnaire above can be implemented in the field using a large sheet of card paper,
which can be laminated to allow repeated use. The respondent can place seeds on each of the
boxes to represent their labour use. The example in Figure 23 shown below is an analysis of
a farming system in Mindano, Philippines. The picture indicates that the household spends
an equal amount of time over the year “saging” their banana trees (weeding and cutting on
a regular basis) and taking care of their single cow “Baka”. They have a second field where
they plant maize in July-Oct and rotate with sweet potato (“camote”) and squash. Finally,
under the banana trees they plant a small bit of taro (“gabi”) which they harvest one year
later (hence the activities all occur in the Jan-Feb period).
The results of individual respondents can be grouped within specific categories (e.g.
location, income level) and presented in a tabular format as shown below.
Farm and Non-farm Activities Jan-Feb Mar-Apr May-Jun Jul-Aug Sep-Oct Nov-Dec Total
Rice 5.6 7.4 14.6 6.2 12.0 45.8
Root and Tuber Crops (e.g. cassava, potato)
Upland Crops (e.g. maize, other cereals, legumes) 1.8 2.6 3.4 2.8 2.0 12.6
Vegetables 4.6 3.2 1.2 3.2 3.4 15.6
Perennial Crops (e.g. rubber, coffee, pepper)
Annual Industrial Crops (e.g. sugarcane, cotton)
Fruit Trees
Fishing and Aquaculture
Small livestock (e.g. poultry, pigs, goats) 0.6 0.6 0.6 0.6 0.6 0.6 3.6
Large Livestock (e.g. cattle, buffalo)
Non-Timber Forest Products 1.0 6.4 7.0 1.4 15.8
Forest Products 2.0 1.2 1.0 0.8 0.8 0.8 6.6
Other Farm Activities
Handicrafts and Weaving
Off-Farm Work and Remittances
Total 7.2 12.4 13.8 25.8 20.6 20.2 100.0
Source: (UNDP and NERI 2005)
Table 42 above can be used to carry out additional analysis which can be presented in
graphical format, such as the distribution of labour over the year (data presented in the
final row of the table).
Similarly, an analysis can be carried out to show the labour constraints over time, which may
indicate when hired labour is used, and what changes to the production system may need
to be put in place to alleviate labour shortages. Using the example questionnaire in Box 36
below, a graphical representation of seasonal labour constraints can be constructed.
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Surplus Labour
Enough Labour
Lack of Labour
1. What are the differences in employment within and between different levels of the
value chain?
2. What are the impacts of the distributional outcomes of the value chain on the poor
and other disadvantaged groups, both currently and in the future?
3. What are the changes in employment that result from the development of various types
(e.g. vegetable trade through traditional open air markets versus modern supermarkets)
of value chains?
4. What is the variability of employment and risks to livelihoods within and between
various levels of the value chain?
References
ABD (2005). Synthesis Study on Options for Smallholder Commercialization in Zambia:
Outgrower Case Sudy - Cotton. Lusaka, Zambia, Prepared for The Government of
Zambia and The World Bank by Agro Business Development A/S, Denmark.
ADB (2005). Making Markets Work Better for the Poor: The Participation of the Poor in
Agricultural Value Chains - A Case Study of Cassava. Hanoi, Economic and Social
Research Center, National Economics University, Informatics Center for Agricultural
and Rural Development (ICARD), and Agrifood Consulting International (ACI) for
the Making Markets Work Better for the Poor Project, Asian Development Bank.
Agrico, ANZDEC, et al. (2004). Value Chain Linkages and Market Information Needs
Survey: Shrimp Industry. Dhaka, Bangladesh, Agrico Limited, ANZDEC, Agrifood
Consulting International, Sodev Consult, and HB Consulting for Ministry of
Agriculture, Government of Bangladesh and Asian Development Bank.
Anh, D. T. and T. T. Minh (2007). Technological issues for attention in constructing farming
systems orientated towards VietGAP for upgrading Thieu Than Ha Litchi. Hanoi,
CASRAD.
BCAS (2001). The Costs and Benefits of Bagda Shrimp Farming in Bangladesh: An Economic,
Financial and Livelihoods Assessment. Dhaka, Bangladesh, Bangladesh Center for
Advanced Studies, DFID, World Bank.
Binh, V. T. (2002). La Qualité des Porcs Dans le Nord du Viêt-Nam (Delta du Fleuve Rouge).
Entre Organisation des Producteurs et Évolution des Systèmes de Production. Paris-
Grignon, Institut National Agronomique.
Binh, V. T., D. D. Huan, et al. (2005). Assessing Poor Consumers’ Access in DVCs: The Case
of Fragrant Tam Xoan Rice from Hai Hau. Hanoi, MALICA/M4P: 38.
Boomsma, M. (2006). Fish Processing in Quang Ngai Province Value Chain Analysis of Dried
Fish and Fish Sauce. Hanoi, Vietnam, ILO/PRISED.
Boomsma, M. (2006). Market Scan for Promising Upland Farm Products from Son La
Province Bamboo shoots, Honey, Pumpkin, Ban Pig, Rice. Hanoi, Vietnam, Prepared
for SNV.
Cato, J. C. and S. Subasinge (2003). Case Study: The Shrimp Export Industry in Bangladesh.
Food Safety in Food Security and Food Trade. IFPRI. Washington, D.C., International
Food Policy Research Institute,.
4
CIEM (2004). Adding Value to Viet Nam’s Rice Industry and Improving the Incomes of the
Poor. Hanoi, Vietnam, Central Institute for Economic Management, ADB and IFC
MPDF.
Duruflé, G., R. Fabre, et al. (1988). Les effets sociaux et économiques des projets de
développement rural. Série Méthodologie, Ministère de la Coopération. La
Documentation Française.
Figuié, M. (2004). Perception of Food-Related Foods by Consumers in Hanoi, Vietnam.
Hanoi, CIRAD-MALICA: 46.
Gereffi, G. (1994). The Organization of Buyer-Driven Global Commodity Chains: How
U. S. Retailers Shape Overseas Production Networks. Commodity Chains and Global
Capitalism. G. Gereffi and M. Korzeniewicz. London, Praeger.
References
Part 4 - Value Chain Analysis Tools - Quantitative Tools 143
Making Value Chains Work Better for the Poor
Gereffi, G. (1999). A Commodity Chains Framework for Analysing Global Industries. Workshop
on Spreading the Gains from Globalisation, University of Sussex, Institute of
Development Studies.
Gereffi, G., J. Humphrey, et al. (2003). The Governance of Global Value Chains: An Analytical
Framework.
Gereffi, G. and M. Korzeniewicz, Eds. (1994). Commodity Chains and Global Capitalism.
London, Praeger.
Grootaert, C. and T. V. Bastelaer (2002). Understanding and Measuring Social Capital: A
Multidisciplinary Tool for Practitioners. Washington, D.C., World Bank.
Hichaambwa, M. and D. Tschirley (2006). Zambia Horticultural Rapid Appraisal:
Understanding the Domestic Value Chains of Fresh Fruits and Vegetables. Lusaka,
Zambia, Food Security Research Project Market Access, Trade and Enabling Policies
(MATEP) Program.
Hugon, P. (1985). Le miroir sans tain. Dépendance alimentaire et urbanisation en Afrique:
un essai d’analyse mésodynamique en termes de filières. Altersial, CERED and M.S.A.
Nourrir les villes, L’Harmattan: 9-46.
IFAD, M4P, et al. (2007). Sugar Value Chain Study, Cao Bang Province, Vietnam. Hanoi,
Vietnam, International Fund for Agricultural Development (IFAD), Making Markets
Work Better for the Poor (M4P) Project and Center for Agrarian Systems Research
and Development (CASRAD).
IFAD, M4P, et al. (2007). Truc Bamboo Value Chain Study, Cao Bang Province, Vietnam.
Hanoi, Vietnam, International Fund for Agricultural Development (IFAD), Making
Markets Work Better for the Poor (M4P) Project and Center for Agrarian Systems
Research and Development (CASRAD).
ITTPC and SNV (2006). Report on Increasing the Competitiveness of Son La Longan Value
Chains. Son La, Vietnam, Information for Tourism and Trade Promotion Center, Son
La Province and SNV Netherlands Development Organization, Son La Province.
Kaplinsky, R. (1999). “Globalisation and Unequalization: What Can Be Learned from Value
Chain Analysis.” Journal of Development Studies 37(2): 117-146.
Kaplinsky, R. and M. Morris (2001). A Handbook for Value Chain Research. Brighton, United
Kingdom, Institute of Development Studies, University of Sussex.
Le Goulven, K., J. P. Boutonnet, et al. (1999). Commercialisation d’un Produit Agricole dans
un Contexte Économique ‘de Transition’ : La Filière Viande Porcine de Nam Thanh à
Hai Phong. Revue Elevage et Médecine Vétérinaire des Pays Tropicaux: 305-312.
Moustier, P. (2007). Public and Private Responsibilities in Food Quality Control. Applications
to Vietnam. Recent Changes Affecting Quality in Vietnam Food Consumption and Chains
- Institutional Challenges and Methods. Hanoi, Malica 18.
Moustier, P., D. T. Anh, et al., Eds. (2006). Supermarkets and the Poor in Vietnam. Hanoi,
Vietnam, CIRAD and ADB.
Moustier, P. and G. Danso (2006). Local Economic Development and Marketing of Urban
Produced Food. Cities Farming for the Future. R. Veenhuizen. Ottawa, IDRC.
Moustier, P. and A. Leplaideur (1999). Cadre d’analyse des acteurs du commerce vivrier
africain. Urbanisation, alimentation et filières vivrières. Montpellier, CIRAD,. 4: 42.
Moustier, P. and Zebus (2002). The effects of produce properties on the organisation of
vegetable commodity systems supplying selected African cities. Montpellier, INRA/
MOISA.
MPDLC (2005 ). Industrial Crops Market Rapid Appraisal Viengkham District. Vientiane,
Lao PDR, Micro Projects Development through Local Communities (MPDLC).
NESDB (2004). Thailand North East Development Report (NEED) Inception Mission
Report for the North East Thailand Value Chains Study. Bangkok, Thailand, National
Economic and Social Development Board of Thailand (NESDB) and the World Bank:
194.
NESDB (2004). Training Course on Integrating Value Chain Analysis and Methodologies into
Policy Analysis: Value Chains Development Training Project. Khon Kaen, Thailand,
Prepared by Agrifood Consulting International for the Northeastern Region Economic
and Social Development Office, National Economic and Social Development Board
of Thailand: 518.
Padmanand, V. and V. G. Patel (2004). Managing India’s Small Industrial Economy 1/E: The
Catalytic Role Of Industrial Counsellors And Policy Makers Response Books.
Porter, M. E. (1985). Competitive Advantage. New York, The Free Press.
Purcell, T., R. v. Gent, et al. (2008). Zambia Participatory Value Chain Management for
Poverty Reduction. Lusaka, Zambia, Report Prepared for the World Bank.
Purcell, T. and K. M. Rich (2002). Rice Value Chain Study: Viet Nam. Ha Noi, Viet Nam, A
Report Prepared for the World Bank by Agrifood Consulting International.
RDMA (2005). Soybean Markets in Northern Laos. Vientiane, Rural Development in
Moutainous Areas of Northern Lao PDR (RDMA) Project, GTZ.
Rich, K. M. (2004). A Discussion Note on Value-Chain Analysis in Agriculture: Methodology,
Application, and Opportunities. Ha Noi, Viet Nam, Agrifood Consulting
International.
SNV (2005). Development of the Sedge Value Chain in Ninh Binh. Hanoi, SNV.
SNV (2008). Value Chain Development Product Guide. Hanoi, Vietnam, SNV Asia.
Springer-Heinze, A. (2005). Shaping Value Chains for Development – Practical Experiences.
The Global Food & Product Chain- Dynamics, Innovations, Conflicts, Strategies. Stuttgart-
Hohenheim, Germany, Deutscher Tropentag.
UNDP and NERI (2005). Macroeconomics of Poverty Reduction Project - Improving Farm
4
Family Incomes in Lao PDR. Vientiane, Lao PDR, Prepared for the UNDP and the
National Economic Research Institute of Lao PDR.
van Gent, R. (2007). Socio-Economic Impact of the ‘Cotton made in Africa’ Project
in Zambia. Lusaka, Zambia, Agridev Consult for Deutsche Investitions- und
Entwicklungsgesellschaft MBH.
Wijk, S. v. (2006). Analysis of the Dak Lak Avocado Chain. Dalat, Vietnam, FreshStudio for
GTZ SME Project.
Ypma, P. (2005). Market Survey of Svay Rieng Vegetable Market. Phnom Penh, Agricultural
Quality Improvement Project (AQIP) in collaboration with Catholic Relief Services
(CRS) and International Development Enterprises (IDE).
References
Part 4 - Value Chain Analysis Tools - Quantitative Tools 145
Making Value Chains Work Better for the Poor