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Latest Economics NCERT Notes, Solutions and Extra Q & A (Class 9th to 12th)
9th 10th 11th 12th

Class 12th Chapters
Introductory Microeconomics
1. Introduction 2. Theory Of Consumer Behaviour 3. Production And Costs
4. The Theory Of The Firm Under Perfect Competition 5. Market Equilibrium
Introductory Macroeconomics
1. Introduction 2. National Income Accounting 3. Money And Banking
4. Determination Of Income And Employment 5. Government Budget And The Economy 6. Open Economy Macroeconomics



Chapter 3 Production And Costs



Production Function

The production function is a fundamental concept in economics that describes the relationship between the inputs used by a firm and the maximum possible output it can produce with a given technology.

It represents the technological relationship that specifies, for various quantities of physical inputs, the maximum possible amount of output that can be produced.

For example, a farmer might use land (input 1) and labour (input 2) to produce wheat (output). The production function tells us the largest quantity of wheat the farmer can grow with different combinations of land and labour.

Production functions are assumed to represent technically efficient use of inputs, meaning it's not possible to get more output from the same amount of inputs.

Technology plays a crucial role; an improvement in technology shifts the production function, allowing more output from the same inputs.

A common way to represent a production function with two inputs, Labour (L) and Capital (K), is:

$q = f(L, K)$

where $q$ is the maximum output that can be produced using quantities L and K of the respective inputs.


Isoquant

Similar to an indifference curve for consumers, an isoquant is a curve that shows all the possible combinations of two inputs (like Labour and Capital) that yield the same level of maximum output.

Each isoquant corresponds to a specific quantity of output. Higher isoquants represent higher levels of output.

If inputs have positive marginal products, isoquants are generally negatively sloped. This is because if you use more of one input, you must use less of the other input to keep the output level constant.

Isoquants also exhibit the property of convexity, implying a diminishing marginal rate of technical substitution between the inputs.

Isoquant diagram

The diagram shows multiple isoquants, each representing a different output level ($q_1 < q_2 < q_3$). Any point on a single isoquant gives the same output level.


Returns To Scale

Returns to scale refer to how the maximum output changes when all inputs are increased proportionally. This concept is analysed in the long run, where all factors are variable.

There are three types of returns to scale:

  1. Increasing Returns to Scale (IRS): When a proportional increase in all inputs results in a more than proportional increase in output. For example, if you double all inputs and output more than doubles.
  2. Constant Returns to Scale (CRS): When a proportional increase in all inputs results in an equal proportional increase in output. If you double all inputs and output exactly doubles.
  3. Decreasing Returns to Scale (DRS): When a proportional increase in all inputs results in a less than proportional increase in output. If you double all inputs and output less than doubles.

Mathematically, for a production function $q = f(x_1, x_2)$, if we multiply inputs $x_1$ and $x_2$ by a factor $t > 1$:


Cobb-Douglas Production Function

A specific and widely used form of the production function is the Cobb-Douglas production function, often written as:

$q = x_1^a x_2^b$

where $q$ is output, $x_1$ and $x_2$ are the quantities of two inputs, and $a$ and $b$ are constants that represent the output elasticity of each input.

The sum of the exponents ($a+b$) in a Cobb-Douglas function determines the type of returns to scale:



The Short Run And The Long Run

The concepts of short run and long run in production analysis are defined not by calendar time but by the flexibility of inputs.

The Short Run is a period of time during which at least one factor of production is fixed and cannot be changed. To increase output in the short run, the firm can only increase the use of its variable factors (e.g., labour), while fixed factors (e.g., factory size or capital) remain constant.

The Long Run is a period of time during which all factors of production are variable. A firm can change the scale of its operations, expand or contract its capital stock, and adjust all other inputs freely. In the long run, there are no fixed factors.

The specific duration of the short run and long run varies depending on the industry and the time it takes to alter different inputs. What is a 'long run' for one firm might be a 'short run' for another with different technology or scale.



Total Product, Average Product And Marginal Product

When analyzing production in the short run, where some inputs are fixed, we examine how output changes as we vary a single input (typically labour). This leads to the concepts of Total Product, Average Product, and Marginal Product.


Total Product

Total Product (TP) refers to the total quantity of output produced by a firm using a given amount of a variable input, while all other inputs are held constant.

If we fix Capital (K) at a certain level and vary Labour (L), the relationship between the quantity of Labour employed and the resulting output is the Total Product of Labour.

As the quantity of the variable input increases, the Total Product generally increases, at least initially, but the rate of increase may vary.

Total Product curve

The figure shows a typical Total Product curve, which rises as labour input increases, but may eventually flatten or even decline.


Average Product

Average Product (AP) measures the output produced per unit of the variable input. It tells us, on average, how much output each unit of the variable factor contributes.

It is calculated by dividing the Total Product (TP) by the quantity of the variable input used (e.g., Labour, L):

$AP_L = \frac{TP_L}{L}$

Average Product is also known as average physical product or average return to the variable input.


Marginal Product

Marginal Product (MP) is the additional output produced when one more unit of the variable input is employed, holding all other inputs constant.

It measures the change in Total Product resulting from a one-unit change in the variable input.

For labour, the Marginal Product of Labour ($MP_L$) is calculated as:

$MP_L = \frac{\Delta TP_L}{\Delta L}$

where $\Delta$ denotes the change in the respective variable.

When output changes by discrete units, the Marginal Product of the $n^{th}$ unit of labour can be calculated as:

$MP_{L_n} = TP_L(n) - TP_L(n-1)$

The Total Product at any given level of the variable input is the sum of the Marginal Products of all units of that input up to that level (assuming $TP=0$ at input=0).

Example: Calculating Marginal Product from Total Product data.

Answer:

If employing 2 units of Labour produces 24 units of output (TP = 24) and employing 1 unit of Labour produces 10 units of output (TP = 10), the Marginal Product of the 2nd unit of Labour is:

$MP_{L_2} = TP_L(2) - TP_L(1) = 24 - 10 = 14$ units.

The Marginal Product is the output contributed by the last worker hired.


The Law Of Diminishing Marginal Product And The Law Of Variable Proportions

This fundamental principle describes the pattern of Marginal Product as the variable input is increased while other inputs are fixed.

The Law of Variable Proportions states that as the amount of a variable input is increased, while holding other inputs fixed, the Marginal Product of the variable input will eventually decline.

It is sometimes called the Law of Diminishing Marginal Product because the declining phase is the most significant aspect. The law typically describes three phases:

  1. Phase 1: Increasing Marginal Product: Initially, as more units of the variable input are added, the Marginal Product may increase. This often happens because the fixed input is underutilized, and adding more of the variable input allows for specialization and better use of the fixed resource.
  2. Phase 2: Decreasing (but still positive) Marginal Product: Beyond a certain point, adding more units of the variable input leads to smaller and smaller increases in total output. The Marginal Product is still positive, but it is falling. This occurs because the fixed input becomes increasingly crowded or limiting relative to the variable input.
  3. Phase 3: Negative Marginal Product: If the variable input continues to be increased, the Marginal Product may eventually become negative. This means that adding more units of the variable input actually causes total output to fall (e.g., too many workers on a fixed machine causing interference).

The law is explained by the changing factor proportions. As the variable input increases relative to the fixed input, the efficiency of the variable input first improves (up to an optimal ratio) and then deteriorates.


Shapes Of Total Product, Marginal Product And Average Product Curves

Based on the Law of Variable Proportions, the shapes of the TP, AP, and MP curves exhibit characteristic patterns:

AP and MP curves

The relationship between AP and MP is crucial:

Average Product lags behind Marginal Product. MP rises and falls faster than AP.

Here is a summary of the data from the text's example (Table 3.2) showing these relationships:

Labour (L) TP MPL APL
00--
1101010.00
2241412.00
3401613.33
4501012.50
556611.20
65719.50

Notice MP increases up to L=3, then falls. AP increases up to L=3, then falls. MP > AP for L=1, 2; MP < AP for L=4, 5, 6. At L=3, MP is 16, AP is 13.33, AP is still rising. The point where MP=AP (approximately where AP is maximum) is somewhere between L=3 and L=4 in a continuous case.



Costs

To produce output, firms incur costs by employing inputs. A specific level of output can often be produced using different combinations of inputs.

A rational firm aims to produce its desired output level at the lowest possible cost. The cost function describes this minimum cost for producing each level of output, given input prices and the production technology.


Short Run Costs

In the short run, some inputs are fixed, leading to two categories of costs:

  1. Total Fixed Cost (TFC): Costs associated with fixed inputs. These costs do not change with the level of output. Even if the firm produces zero output, it still incurs fixed costs (e.g., rent for factory building). TFC remains constant in the short run.
  2. Total Variable Cost (TVC): Costs associated with variable inputs. These costs change directly with the level of output. As output increases, the firm needs more variable inputs (like labour, raw materials), so TVC increases. TVC is zero when output is zero.

Total Cost (TC) is the sum of Total Fixed Cost and Total Variable Cost at any given output level:

$TC = TFC + TVC$

As output increases, TC increases because TVC increases, while TFC remains constant.

In addition to total costs, we also analyse average and marginal costs:

The Total Variable Cost at a specific output level can be found by summing the Marginal Costs of all units produced up to that level (assuming TVC=0 at q=0).

Here is a table showing various short-run costs based on the example in the text (Table 3.3). Note the costs are given in $\textsf{₹}$):

Output (q) TFC ($\textsf{₹}$) TVC ($\textsf{₹}$) TC ($\textsf{₹}$) AFC ($\textsf{₹}$) AVC ($\textsf{₹}$) SAC ($\textsf{₹}$) SMC ($\textsf{₹}$)
020020----
120103020.0010.0030.0010
220183810.009.0019.008
32024446.678.0014.676
42029495.007.2512.255
52033534.006.6010.604
62039593.336.509.836
72047672.866.719.578
82060802.507.5010.0013
92075952.228.3310.5515
1020951152.009.5011.5020

Shapes Of The Short Run Cost Curves

The shapes of short run cost curves reflect the underlying production relationships (specifically the Law of Variable Proportions).

Now, let's look at the average and marginal cost curves:

SMC, AVC, SAC curves

The relationship between the Marginal Cost and Average Cost curves is crucial:

The area under the SMC curve up to a certain output level represents the Total Variable Cost (TVC) at that level.


Long Run Costs

In the long run, all factors of production are variable. Consequently, there are no fixed costs in the long run. Total Cost (TC) and Total Variable Cost (TVC) are identical in the long run.

We focus on two main cost concepts in the long run:

Similar to the short run, the sum of LRMCs up to a certain output level gives the total cost at that level in the long run.


Shapes Of The Long Run Cost Curves

The shapes of the long run average and marginal cost curves are primarily determined by the returns to scale experienced by the firm.

Assuming a typical firm experiences IRS at low output levels, followed by CRS, and finally DRS at high output levels, the Long Run Average Cost (LRAC) curve is typically 'U'-shaped.

LRAC and LRMC curves

The Long Run Marginal Cost (LRMC) curve is also typically 'U'-shaped.

The relationship between LRAC and LRMC is similar to their short run counterparts:


Rectangular Hyperbola

The Average Fixed Cost (AFC) curve in the short run is a graphical representation of the relationship $AFC = \frac{TFC}{q}$, where TFC is a constant value.

The AFC curve is a rectangular hyperbola. This means that for any point on the curve, the product of the corresponding output level (q) on the x-axis and the average fixed cost (AFC) on the y-axis is always equal to the constant Total Fixed Cost (TFC).

$q \times AFC = TFC$ (Constant)

AFC curve as rectangular hyperbola

Graphically, if you pick any point on the AFC curve and draw lines perpendicular to the x-axis and y-axis, the area of the rectangle formed by these lines and the axes will always be the same, equal to TFC.

As output increases towards infinity, AFC approaches zero. As output approaches zero, AFC approaches infinity.