Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20170021.html
   My bibliography  Save this paper

Impact of Mobile Phones on Staple Food Markets in Mozambique: Improved Arbitrage or Increased Rent Extraction?

Author

Listed:
  • Wouter Zant

    (VU University, The Netherlands)

Abstract
We investigate to what extent the roll-out of the mobile phone network in Mozambique reduced search costs, and thereby lowered transport costs and improved the efficiency of agricultural markets. Estimations are based on data of both maize market prices and transport costs of maize grain. Evidence suggests improved arbitrage jointly with increased rent extraction by traders: the rollout explains a 4.5-7 percent reduction in maize price dispersion, and a slightly larger reduction in per ton km transport costs. Benefits of increased market efficiency are not biased towards either producer or consumer markets. Results are robust for non-random rollout of the mobile phone network and several other threats.

Suggested Citation

  • Wouter Zant, 2017. "Impact of Mobile Phones on Staple Food Markets in Mozambique: Improved Arbitrage or Increased Rent Extraction?," Tinbergen Institute Discussion Papers 17-021/V, Tinbergen Institute, revised 26 Jan 2018.
    • Handle: RePEc:tin:wpaper:20170021
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/17021.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jonathan Kaminski & Luc Christiaensen & Christopher L. Gilbert, 2016. "Seasonality in local food markets and consumption: evidence from Tanzania," Oxford Economic Papers, Oxford University Press, vol. 68(3), pages 736-757.
    2. Aker, Jenny C. & Ksoll, Christopher, 2016. "Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger," Food Policy, Elsevier, vol. 60(C), pages 44-51.
    3. Jenny C. Aker & Marcel Fafchamps, 2015. "Mobile Phone Coverage and Producer Markets: Evidence from West Africa," The World Bank Economic Review, World Bank, vol. 29(2), pages 262-292.
    4. Alfani, Federica & Azzarri, Carlo & d'Errico, Marco & Molini, Vasco, 2012. "Poverty in Mozambique : new evidence from recent household surveys," Policy Research Working Paper Series 6217, The World Bank.
    5. Haggblade, Steven & Jayne, Thomas S. & Tschirley, David L. & Longabaugh, Steven, 2008. "Potential for Intra-Regional Maize Trade in Southern Africa: an Analysis for Zambia at the Sub-National Level," Food Security Collaborative Working Papers 54494, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    6. Emílio Tostão & B. Wade Brorsen, 2005. "Spatial price efficiency in Mozambique's post‐reform maize markets," Agricultural Economics, International Association of Agricultural Economists, vol. 33(2), pages 205-214, September.
    7. Muto, Megumi & Yamano, Takashi, 2009. "The Impact of Mobile Phone Coverage Expansion on Market Participation: Panel Data Evidence from Uganda," World Development, Elsevier, vol. 37(12), pages 1887-1896, December.
    8. Tadesse, Getaw & Bahiigwa, Godfrey, 2015. "Mobile Phones and Farmers’ Marketing Decisions in Ethiopia," World Development, Elsevier, vol. 68(C), pages 296-307.
    9. Jenny C. Aker, 2010. "Information from Markets Near and Far: Mobile Phones and Agricultural Markets in Niger," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 46-59, July.
    10. Robert Jensen, 2007. "The Digital Provide: Information (Technology), Market Performance, and Welfare in the South Indian Fisheries Sector," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 879-924.
    11. Tschirley, David L. & Abdula, Danilo Carimo & Weber, Michael T., 2006. "Toward Improved Maize Marketing and Trade Policies to Promote Household Food Security in Central and Southern Mozambique," Food Security Collaborative Working Papers 56065, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    12. Aparajita Goyal, 2010. "Information, Direct Access to Farmers, and Rural Market Performance in Central India," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 22-45, July.
    13. Overa, Ragnhild, 2006. "Networks, distance, and trust: Telecommunications Development and changing trading practices in Ghana," World Development, Elsevier, vol. 34(7), pages 1301-1315, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wouter (W.) Zant, 2017. "Bridges," Tinbergen Institute Discussion Papers 17-117/V, Tinbergen Institute, revised 06 Apr 2019.
    2. Zant, Wouter, 2024. "Mobile phones and Mozambique farmers: Less asymmetric information and more trader competition?," World Development, Elsevier, vol. 180(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wouter Zant, 2019. "Mobile Phones and Mozambique Traders: What is the Size of Reduced Search Costs and Who Benefits?," Tinbergen Institute Discussion Papers 19-047/V, Tinbergen Institute.
    2. Zant, Wouter, 2024. "Mobile phones and Mozambique farmers: Less asymmetric information and more trader competition?," World Development, Elsevier, vol. 180(C).
    3. Zant, Wouter, 2023. "Mobile Phones and Mozambique Traders: Size, Composition and Distribution of Reduced Transaction Costs," Food Policy, Elsevier, vol. 116(C).
    4. Hailemariam Ayalew & Dagim G. Belay, 2020. "The Ethiopian Commodity Exchange and Spatial Price Dispersion: Disentangling Warehouse and Price Information effects," IFRO Working Paper 2020/01, University of Copenhagen, Department of Food and Resource Economics.
    5. Min, Shi & Liu, Min & Huang, Jikun, 2020. "Does the application of ICTs facilitate rural economic transformation in China? Empirical evidence from the use of smartphones among farmers," Journal of Asian Economics, Elsevier, vol. 70(C).
    6. Abate, Gashaw T. & Abay, Kibrom A. & Chamberlin, Jordan & Kassim, Yumna & Spielman, David J. & Paul Jr Tabe-Ojong, Martin, 2023. "Digital tools and agricultural market transformation in Africa: Why are they not at scale yet, and what will it take to get there?," Food Policy, Elsevier, vol. 116(C).
    7. Gershom Endelani Mwalupaso & Shangao Wang & Zhangxing Xu & Xu Tian, 2019. "Towards Auspicious Agricultural Informatization—Implication of Farmers’ Behavioral Intention Apropos of Mobile Phone Use in Agriculture," Sustainability, MDPI, vol. 11(22), pages 1-21, November.
    8. Camacho, Adriana & Conover, Emily, 2019. "The impact of receiving SMS price and weather information on small scale farmers in Colombia," World Development, Elsevier, vol. 123(C), pages 1-1.
    9. Jianxin Guo & Songqing Jin & Lei Chen & Jichun Zhao, 2018. "Impacts of Distance Education on Agricultural Performance and Household Income: Micro-Evidence from Peri-Urban Districts in Beijing," Sustainability, MDPI, vol. 10(11), pages 1-19, October.
    10. Evans, Olaniyi, 2018. "Digital Agriculture: Mobile Phones, Internet & Agricultural Development in Africa," MPRA Paper 90359, University Library of Munich, Germany.
    11. Uwe Deichmann & Aparajita Goyal & Deepak Mishra, 2016. "Will digital technologies transform agriculture in developing countries?," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 21-33, November.
    12. Campenhout, Bjorn Van, 2021. "ICTs to Address Information Inefficiencies in Food Supply Chains," 2021 Conference, August 17-31, 2021, Virtual 315054, International Association of Agricultural Economists.
    13. Bjorn Van Campenhout, 2022. "ICTs to address information inefficiencies in food supply chains," Agricultural Economics, International Association of Agricultural Economists, vol. 53(6), pages 968-975, November.
    14. Campenhout, Bjorn Van, 2021. "ICTs to Address Information Inefficiencies in Food Supply Chains," 2021 Conference, August 17-31, 2021, Virtual 313801, International Association of Agricultural Economists.
    15. Dagim G. Belay & Hailemariam Ayalew, 2020. "Nudging farmers in crop choice using price information: Evidence from Ethiopian Commodity Exchange," Agricultural Economics, International Association of Agricultural Economists, vol. 51(5), pages 793-808, September.
    16. Abate, Gashaw T. & Bernard, Tanguy, 2017. "Farmers’ quality assessment of their crops and its impact on commercialization behavior: A field experiment in Ethiopia," IFPRI discussion papers 1624, International Food Policy Research Institute (IFPRI).
    17. Riera, O. & Minten, B., 2018. "Mobile phones and agricultural market performance in Ethiopia," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277107, International Association of Agricultural Economists.
    18. Rajkhowa, Pallavi & Qaim, Matin, 2022. "Mobile phones, women's physical mobility, and contraceptive use in India," Social Science & Medicine, Elsevier, vol. 305(C).
    19. Sekabira, Haruna & Qaim, Matin, 2016. "Mobile Money, Agricultural Marketing, and Off-Farm Income in Uganda," GlobalFood Discussion Papers 234998, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    20. Gershom Endelani Mwalupaso & Shangao Wang & Sanzidur Rahman & Essiagnon John-Philippe Alavo & Xu Tian, 2019. "Agricultural Informatization and Technical Efficiency in Maize Production in Zambia," Sustainability, MDPI, vol. 11(8), pages 1-17, April.

    More about this item

    Keywords

    search costs; transport costs; mobile phones; agricultural markets; maize prices; sub-Saharan Africa; Mozambique;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tin:wpaper:20170021. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.