Production Function
Production Function
Production Function
Production means transformation of inputs into output. For instance, a sugar factory uses such
inputs as raw-material viz, sugarcane, labour, capital such as machinery and factory building to
produce sugar.
The process of transformation can be:
(1) A change in form (ie., cloth into garment)
(2) A change in space (ie., by road or rail transportation)
(3) A change in time (ie., by warehousing or cold storage).
Accordingly, production may be defined as 'transformation of inputs leading to creation or
addition of value in a good'. Chart below illustrates the Production Process
Thus we see that production process involves of inputs into outputs so that the value of output is
greater than the value of inputs. In other words, production means creation or value addition.
FACTORS OF PRODUCTION
The inputs used in production have been traditionally called as factors of production, also
called Agents of Production.
Economists have identified five factors of production as under:
1. Land- Land is the most basic factor. It includes all resources gifted by nature. Thus land does
not mean only the land surface but also includes all natural resources underneath or above the
land surface. For example, land covers the entire land surface, all material resources beneath the
ground, forests, hills and mountains, rivers and seas, water, air, light and rains.
2. Labour- Labour is the active factor of production. In economics, any work done by body or
mind for remuneration is called labour. If money or reward is not paid for any type of labour,
manual or mental, it is not labour in economics.
3. Capital- Capital does not mean money alone. In economics, capital refers to man-made
resources. It is also called 'produced means of production'. Thus, all those means/factors that
have been produced by human effort and which are being further used for production
activity is capital. As such, machinery, building, plant and equipment, roads, railways, bridges
are all capital.
4. Organization- Production is possible only by coordinating various inputs. There will be larger
production if all the inputs are properly coordinated. For this purpose, there is an organizer who
does the work of coordination. A manager generally does the job of coordination or organization.
5. Enterprise- Enterprise, also called entrepreneurship means taking or assuming risk of a
business. When a person or a business firm makes investment in any sphere, there is risk of loss
or profit. An entrepreneur is a person who performs this function of risk-bearing and is prepared
to take the loss if it materializes. Entrepreneurship involves a variety of activities viz.
(1) Deciding to undertake a particular activity
(2) Bearing the risk and uncertainty of production.
(3) Undertaking innovation.
PRODUCTION FUNCTION
A Production Function is a physical relation between a firm's inputs of resources and its output
of goods and services per unit of time. Inputs are factors of production like raw materials, labour,
capital, organization, fuel etc. Quantity of production is output. This output is the result of inputs.
Thus, the functional relationship between physical inputs and physical output is called
Production Function.
Definitions
According to Prof. Leontief, "A Production Function is a description of the quantitative
relationship between the inputs observed and the outputs emerging from a particular production
process."
Prof. Watson defines it as, "Production means the transformation of inputs into outputs. The
production function is the name for the relationship between the physical inputs and the physical
outputs of a firm."
The production function in its simple and general form is given below:
Where P is the rate of output of a good or service and a, b, c, d etc., are different factors of
production used per unit of time. Production function is a technical relationship between two
factors of production and their output, while the technique and other factors remain constant.
Production function can be explained in Fig. Labor is measured on X- axis and capital on Y-axis.
In the beginning 2 unit of labour and 2 unit of capital produce 5 unit of output, with 4 units of
labor and 4 units of capital output increases to 10 units and with 8 unit of labour and 8 units of
capital production is 22 units. Joining all these production points we get Production Process
Path. In this way various Production Process paths can be drawn such as 1 and 3. In path 1 more
labour and less of capital is used and in Path 3 more of capital and less of labour is used.
LAWS OF RETURNS
Laws of Returns are classified into two categories:
Assumptions
The law of variable proportions holds good if the following assumptions are fulfilled:
(1) One of the factors is variable, while all other factors are fixed.
(2) All units of the variable factor are homogeneous. It means all its units are equally efficient.
(3) The proportion of the factors of production can be changed. For example, 2 hectares of
land with one laborer or 2 hectares of land with 4 laborers etc.
(4) Level of technology and methods of production are constant.
(5) It is a short period operation. The law does not apply in long period when all factors
become variable.
Explanation of the Law – law of variable proportions can be explained with the help of Table.
When on the fixed input the land of 4 acres, units of the variable factor labor are employed, the
resultant output is obtained. First three columns of the table reveal the production function.
The average and marginal product columns are derived from the total product column. The
average product is obtained by dividing the column (3) by the column (2). The marginal
product is the addition to total product by employing an extra laborer.
An analysis of the table shows that total, average and marginal products increase in the
beginning, reach a maximum and then start declining. The total product reaches its
maximum when 7 units of labor are employed and then it declines. The average product
continues to rise till the 4th unit while the marginal product reaches its maximum at the 3rd
unit of labor, then it also falls. The marginal product starts declining first, the average
product follows it and the total product is the last to fall.
Diagrammatic Representation
In this figure quantities of AP, MP and TP are shown on y-axis and number of laborers on x-axis.
TP is the total product curve. The TP curve first rises: at an increasing rate and then reaches
the highest point at an output then increases at a decreasing rate and then starts falling
slowly. At points a the slope of TP is the highest, at b it is less than a and at c it becomes zero.
The MP curve reaches its maximum point at d when the slope of the TP curve is maximum
at point a, the maximum point on the AP curve is e where it coincides with b on TP curve,
from where the TP starts a gradual rise. When the TP curve reaches its maximum point c, the
MP curve becomes zero at point f, and when TP starts declining, the MP becomes negative.
Three Stages of the Law
1. First Stage - In this stage, average product reaches the maximum and equals the marginal
product when 4 laborers are employed, as shown in Table. This stage is portrayed in Fig. from
the origin to point where the MP and AP curve meet. In this stage, total output increases at an
increasing rate and the total product curve also increases rapidly. Thus, this stage relates to
increasing average returns.
The main reason for increasing returns in first stage is that in the beginning the fixed factors are
larger in quantity than the variable factors. When more units of variable factors are applied to
a fixed factor, the fixed factor is used more intensively, division of labor and specialization
will be possible on fixed factors, being indivisible they will be put to maximum use, thereby
the production increases rapidly. Hence, the law of increasing returns sets in.
2. Second Stage - The second stage goes from the point where the average output is maximum
to the point where the marginal output is zero. After having attained the optimum
combination of the fixed inputs and the variable input, if the firm increases still further the
quantity of the variable input, the total output increases but only at a diminishing rate. This
is the crucial stage for the firm, because it is within this stage that the firm determines its level
of actual operation. In Table the second stage of the law of variable proportions operates
between the stage when 5 and 8 units of laborers are employed. In Fig, the second stage lasts
till point f is reached.
3. Third Stage - In this stage, the total product starts declining and the marginal product
becomes negative. This is also known as the stage of negative returns. In the Table, the
employment of the 9th worker actually causes a decrease in total output from 22 to 21 and makes
the marginal product minus 1. In Fig. the third stage operates beyond the point 'f' where the
MP curve is below the x-axis. Here, the workers are too many in relation to the available land,
making it absolutely impossible to cultivate it. In this stage, the total output, after having
reached the maximum of c at the beginning of its stage, begins to fall. Thus, in this stage, the
total output, average output and marginal output all fall.
It is clear from table that as more and more units of labour are applied to a given plot of land
(a) total output increases at a diminishing rate (b) marginal product goes on diminishing.
In Fig Labour is shown on x-axis and marginal produce on y-axis. The DR curve represents
diminishing returns. It slopes downward from left to right. It indicates that as more and more
laborers are employed, each successive laborer yields less marginal returns than its
proceeding worker.
(ii) In Terms of Increasing Costs: Law of diminishing returns also known as the law of
increasing costs. If returns are diminishing, costs are increasing. When more and more units of
labour are applied to a plot of land, their marginal returns diminish, then there is a
tendency for the average cost of production to increase. That is why in terms of cost, this law
is called the law of increasing cost.
Table shows land as a fixed factor. Units of labor have been considered as a variable factor.
Average cost of production of first unit is Rs. 2, when second unit of the variable factor is used,
average cost goes upto Rs. 2.20 and with the application of third, fourth and fifth units, average
cost rises to 2.50, 2.80 and 3.30 respectively. In this way average cost is increasing with every
addition to the variable factor used.
In figure, the upward sloping IC curve represents increasing cost. It shows that average cost is
increasing with the use of more and more variable factors or production.
It is clear from this table that when 1st unit of variable input (labour) is put to work with 2 units
of capital which is a fixed factor of production, the total production of pens is 10 dozen. When an
additional unit of labor is employed, total production increases to 25 dozen. In this way, marginal
produce of the 2nd unit is (25–10=15 dozen). Similarly, with the use of 3rd, 4th and 5th units of
labor marginal produce increases further. It becomes evident that due to increased employment
of labor, marginal produce increases and total produce increases at the increasing rate.
The IR curve which rises upward from left to right, depicts increasing returns. It shows that
as more and more units of the variable input i.e. labour are put to work, their marginal
produce goes on increasing. This is the law of increasing return.
(ii) In Terms of Diminishing Costs - According to the law of increasing returns, when total
output increases, average cost per unit goes on diminishing.
Average cost can be calculated by dividing total cost by total produce. As we go on using more
and more units of labour, average cost goes on falling. When 1st unit of labor is used, average
cost is Rs. 10.00 with every increase in variable factor of production, average cost is falling from
10 to Rs. 8, 6.66, 5.71 and 5.00 respectively.
'DC' is the average cost curve falling downward from left to right. It shows that average cost
is falling as we use more and more doses of the factor labor.
Table shows that as a firm increases the input of labor along with the fixed factor (capital), total
production of blankets increases constantly by the same amount. When units of labor are
doubled, production of blankets is also doubled. Likewise, when units of labor are increased five
times, total production of blankets is also increased five-fold i.e., 25 blankets. Thus, both
marginal and average products remain constant.
Fig – CR curve is parallel to x-axis signifying that marginal product increases at a constant rate
with increase in units of labor. It means output increases constantly by the same amount as
more and more units of the variable factor are employed.
(ii) In Terms of Constant Costs: average and marginal cost of production remain constant
as a result of additional application of variable factors along with the fixed factor of production.
In the Table below, it should be Total Product (blankets) and not total cost (blankets).
The table shows that total production and total cost, increase in the same proportion
consequently, there is no change in average cost due to increase in production. Average cost
remains constant i.e., Rs. 40.00 per piece of blanket.
In Fig, CC curve represents constant cost. It means as production increases, average cost
remains constant.
Explanation
Law of returns to scale refers to increase in output as a result of increase in all factors in the
same proportion. Such an increase in output is called Returns to Scale.
Supposing, initial production function is as follow:
Q = f (L, K)
If both the factors of production i.e. labour (L) and capital (K) are increased in the same
proportion (a) we will be able to obtain a new level of output Q₁, which is higher than Q then:
Q₁ = f (aL, aK)
(i) The column (2) ie. percentage increase in labor and capital can be derived as follows:
Why do returns to Scale First Increase, become Constant and then Diminish?
1. Increasing Returns to Scale: It occurs when a given percentage increase in all factor
inputs (in some constant ratio) causes proportionately greater increase in output.
Fig. shows that 10% increase in all factor inputs causes 15% increase in output. Likewise, 15%
increase in factor inputs causes 25% increase in output. Thus, any percentage increase in input is
causing a greater percentage increase in output. Increasing returns to scale are thus operative.
The main cause of its operation is that when scale of production is increased then due to division
of labour and specialization, many types of 'internal economies' are available. For instance,
it may be able to install better machines, sell its product more easily, borrow money cheaply,
procure the services of more efficient managers and workers etc. All these economies help in
increasing the returns to scale more than proportionately. Not only this, a firm also enjoys
increasing returns to scale due to external economies. When a large number of firms are
concentrated at one place, skilled labour, credit and transport facilities are easily available,
subsidiary industries crop up to help the main industry, research and training centres appear
which help in increasing the productive efficiency of the firms. Thus, these external economies
are also the cause of increasing returns to scale.
2. Constant Returns to Scale: it occurs when a given percentage increase in all factor inputs
(in some constant ratio) causes equal percentage increase in output.
The Fig. shows that 10% increase in all factor inputs causes 10% increase in output. Likewise,
20% increase in inputs causes 20% increase in output. Thus, any percentage increase in output is
matched with equal percentage increase in output. The OQ line accordingly, forms a 45° angle
from the origin, indicating the occurrence of constant returns to scale.
The increasing returns to scale do not continue indefinitely. Hence, the stage of constant return
to scale arises, when after reaching a certain level of production, as the firm is enlarged
further, internal and external economies are counter (balanced) by internal and external
diseconomies of scale. In mathematical terminology, that production function which reflects
constant returns to scale is called Homogeneous Production Function or Homogeneous
Function of the first degree. This function states that if labor and capital are increased in equal
proportion then output will also increase in the same proportion.
3. Diminishing Returns to Scale - it occurs when a given percentage increase in all factor
inputs (in some constant ratio) causes proportionately lesser increase in output.
The Fig. shows that 15% increase in all factor inputs causes only 10% increase in output.
Likewise, a 25% increase in factor inputs causes only 15% increase in output. Returns to scale
are thus diminishing. Constant returns to scale is only a passing phase, for ultimately returns to
scale start diminishing. The main cause of its operation is that internal and external
diseconomies outweigh economies of scale. For instance, indivisible factors may become
inefficient and less productive. Business may become unwieldy and produce problems of
supervision and coordination. Large size of the establishment creates difficulties of control. To
these internal diseconomies are also added some external diseconomies e.g. land, labour, capital
etc. become expensive. Prices of raw-material also go up. Transport and marketing difficulties
emerge. All these factors tend to raise costs and the expansion of the firms leads to diminishing
returns to scale.
RETURNS TO SCALE AND ISO-QUANT APPROACH
Return to scale can also be shown through the iso-quants. If 100 percent increase in output can
be achieved by less than 100 percent increase in inputs, it is increasing returns to scale (IRS).
If 100 percent increase in output can be achieved by just 100 percent increase in inputs, it is
constant returns to scale (CRS); and if 100 percent increase in output can be achieved by 'more
than 100 percent’ increase in inputs, it is decreasing returns to scale (DRS).
1. Constant Returns to Scale- Constant Returns to scale refers to situations in which expansion
in output happens to just proportionate to the expansion in factor inputs. In other words, constant
returns to scale means that the size of inputs and the size of the output increases in the same
proportion. Doubling the input doubles the output.
Fig shows CRS. Compare points A and B on the two iso-quants. These points lie on the straight
line OAB. The ratio between the two inputs is constant as we move along the ray, but the total
quantity of inputs is higher on every point to the right. Point B is the same distance from A as A
is from O. In other words OA = AB , If A and B are placed in this manner it signifies that at B all
inputs are doubled as compared to A. At A the input combination is 1K + 1L.
At B it is 2K + 2L. At A output level is 100 units and at B it is 200 units. So between A and B, if
OA = AB these are CRS.
2. Increasing Returns to Scale - Increasing returns to scales refers to a situation in which
output increases by a greater proportion than increase in factor inputs or when increase in
scale of operation is proportionately less than the increase in output. Under increasing returns to
scale, doubling of resources more than doubles the level of output.
Fig. shows IRS. Point B here lies at a lesser distance from A as compared to the distance
between O and A. It means AB is less than OA. It further means that at B, input level is less
than double of input level at A. At A, the input combination is 1K + 1L. At B the input
combination is "less than (2K + 2L)" but greater than 1K + 1L (compare it with C where input
level doubles). At B the output level is double than that at A. So ' less than double' of inputs
produce double the output. So at B, if AB < OA, there is IRS.
3. Diminishing Returns to Scale - Diminishing Returns to scale refers to a situation in which
output increases in lesser proportion than increase in factor inputs or when increase in the
scales of operations is proportionately greater than the increase in output. In other words, if a
given change in factor inputs results in proportionally smaller changes in output, it is a case of
diminishing returns to scale.
Fig. shows DRS. Point B here lies at more distance from A as compared to the distance between
O and A. It means AB is greater than OA. It also implies that input level at B is more than
double the input level at A. At A the input combination is 1K + 1L. At B it is "more than (2K +
2L)" (compare it with C where it is 2K + 2L). At B the output level is double than that at A.
So "more than double the input" produces double the output. So at B, if AB > OA, there DRS.
Varying Returns to Scale - The three returns to scale can be shown in one diagram (above Fig).
The increasing returns to scale operators when the distance between successive iso-quants
decreases i.e., OA > AB > BC . Constant returns to scale operates when the distance between
successive iso-quants is same i.e., BC = CD = DE. Decreasing returns to scale operates when
the distance between successive iso-quants is increasing i.e., DE < EF < FG < GH.
In the diagram, it is shown that capital is fixed i.e. OK and labor is variable. OA is the upper
ridge line which is drawn by joining the points at which Marginal Productivity of capital is
zero. OB is the lower ridge line at which Marginal Productivity of Labour is zero.
Upto point P, it is shown that as units of labor increases with the fixed quantity of capital, to
increase Production by 100 units each time, amount of labor used decreases in proportion than
before or to increases production from 100 to 200 units MN labor is required which is less
than KM amount of labor which was required to produce first 100 units of output.
Similarly for Production from 200 to 300 units, NP amount of labor is required which is less
than MN amount of labor. Hence K to P shows the application of 1st stage of production in
Law of Variable Proportion. From point P to S, there is second stage of production. In this
stage, for every 100 units of output, quantity of labor is increasing i.e. RS > QR > PQ. But in
this region MPL is + ve. Beyond point S negative returns stage applies as quantity of labor
used is ST but output falls from 600 to 500 units. Hence MPL is negative.
Thus, the three stages of production are:
(i) K to P 1st stage of Production
(ii) P to S IInd stage of Production
(iii) S to U IIIrd stage of Production
The best stage of production is the second stage. Every producer wants to operate in this stage.