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Production Analysis
Managerial Economics and Financial Analysis
UNIT-II
Elasticity of Demand, Demand Forecasting and
Production Analysis
Contents
Elasticity of demand
• Concept of Elasticity
• Types of Elasticity
• Price, Income, Cross and
Advertising
• Factors affecting and
Significance of Elasticity
of demand
Demand Forecasting
• Need for Demand
Forecasting
• Factors governing
Demand Forecasting
• Methods of Demand
Forecasting(Survey
methods and Statistical
Methods)
Production Analysis
• Factors of Production
• Production Function
 Production Function with one
variable input, two variable inputs
using Isoquant and Iso costs
 Optimal Combination of
Resources using Isoquants and
Iso costs, Law of returns
 Economies and Diseconomies of
Scale
2
Production Analysis
 “Production is the process that transforms inputs into output.”
 This process of transformation can be
 A change in Form(RM to FG) (Wood to Furniture)
 A change in Space ( transport)
 A change in time ( storage)
 These three kinds of transformation help in
enhancing usability of goods and services
Products and Services
Production Analysis
“Production is the process by which the resources (input) are
transformed into a different and more useful commodity. Various
inputs are combined in different quantities to produce various
levels of output.”
Production involves producing, storing and distributing goods and
services-both tangible( steel etc.) and intangible(banking and
insurance).
In this production process, the manager is concerned with
efficiency in the use of the inputs
 Technical vs. Economic efficiency
Production Analysis
 Economic efficiency: occurs when the cost of producing a
given output is as low as possible.
 Technological efficiency: occurs when it is not possible to
increase output without increasing inputs.
 Factors affecting Production
 Technology
 Inputs
 Time period of production
Production Analysis
 Factors of Production
 Factors that are used for production are called factors of production. There
are four important factors of production. They are :
Land
Labour
Capital
Entrepreneurship/Organisation
 Factor of Production Price
 Land Rent
 Labour (skilled, semi-skilled and unskilled) Wage
 Capital Interest
 Entrepreneurship/ Organisation Profits
Production Analysis
Fixed and Variable Input
A fixed input is the one whose quantity cannot be varied
during the period under consideration.
Ex-Plant and Equipment
An Input whose quantity canbe changed during the period
under consideration is known as variable input.
Ex- Raw materials, labour, power, transportation etc.,
Production Function
 The Production function is purely a technological relationship
which express the relationship between output of a good and
the different combinations of inputs used in production.
 It indicates the maximum amount of output that can be
produced with the help of each possible combination of input.
Q = f(L, K,N, …..)
Where
Q= Amount of output L= Labour
K= Capital N= Land
Production Function
The production function rests on two main
assumptions
Technology is invariant
It is assumed that firms utilise their inputs at maximum
level of efficiency
For our current analysis, let’s reduce the inputs to
two, capital (K) and labour (L):
Q = f(L, K)
Production Analysis
Production Function with One Variable Input
 Law of variable proportions of Production Function (or)
 Shor-run analysis of Production function (or)
 Law of diminishing marginal returns (or)
This Law states that as more and more of one input is
employed, all other input quantities held constant, a point
eventually be reached where additional quantities of the
varying input will yield diminishing marginal contributions
to total product.
Relationship Between Total, Average,
and Marginal Product: Short-Run Analysis
Total product (TP): The total amount of
output resulting from a given production function
Average product(AP): Total product per unit
of given input factor.
Marginal product(MP): The change in total product
per unit change in given input factor.
Production Analysis
Production Function with One Variable Input
Production Analysis
Production Function with One Variable Input
Production Analysis
Production Function with One Variable Input
 In the I stage, the TP rises at an increasing rate. AP and MP also
rises, MP rises at a higher rate than the AP. This stage is described
as the stage of increasing returns.
 In the II stage AP and MP begins to diminish, the TP rises at a
diminishing rate. When the AP is maximum the MP is equal to the
AP. When the MP becomes zero the TP is the maximum. This stage
is described as diminishing returns stage.
 In the III stage the TP begins to diminish, the AP is decreasing at
this stage but remains positive up to certain point. In the III stage
the MP becomes negative.
Production Function with One Variable Input
Three Stages of Production
Total Product
(TP)
Average Product
(AP)
Marginal Product
(MP)
STAGE I
Increases at an
increasing rate
Increases (but slower
than MP)
Increases and reaches
its maximum
STAGE II
Increases at a
diminishing rate and
becomes maximum
Starts diminishing Starts diminishing and
becomes equal to zero
STAGE III
Reaches its maximum,
becomes constant and
then starts declining
Continues to diminish
(but must always be
greater than zero)
Keeps on declining and
becomes negative
Production Function with One Variable Input
Three Stages of Production
 STAGE 1 : INCREASING RETURNS
 As the production of one factor in the combination of factor is
increased upto a point, the MP of the factor will increase.
Reasons:
 Indivisibility of factors
 Quantity of fixed factor
 Division of labour
 Economies
Production Function with One Variable Input
Three Stages of Production
 STAGE 2 : DIMINISHING RETURNS
 As the production of one factor in the combination of factor is
increased after a point the average & MP of that factor
will diminishing.
Reasons:
 Scarcity of fixed factors
 Indivisibilty of fixed factor
 Lack of perfect substitution of factor of production
Production Function with One Variable Input
Three Stages of Production
 STAGE 3 : NEGATIVE RETURNS
 MP of variable factor is negative.
 Reasons:
 Excessive variable factor
 Inefficiency of fixed factor
Production Function with Two-variable Inputs
Isoquants
 An Isoquant is a curve representing various combinations of
two variable inputs that produce same amount of output.
 “Iso” means equal “Quant” means quantity.
 This is also known as Iso-Product curve, Equal-Product curve or
Production Indifference curve.
Production Function with Two-variable Inputs
Isoquants
Production Function with Two-variable Inputs
Isoquants
This may be taken either as a short run or a long
run analysis of production process.
Long run analysis : The firm uses only two inputs and
both of them are variable.
Short run analysis : The firm uses more than two
inputs but only two of them are variable and others
are fixed.
Production Function with Two-variable Inputs
Isoquants
Types of Isoquants
 Depending upon the degrees of substitutability of inputs, there are four types
of Iso-quants.
Linear Isoquant
Input-Output Isoquant
Kinked Isoquant
Smooth Convex Isoquant
Production Function with Two-variable Inputs
Types of Isoquants
1. Linear isoquant
 Perfect substitutability between factors of production
Production Function with Two-variable Inputs
Types of Isoquants
2. Input-Output Isoquant/Right angle Isoquant/Leontief
Isoquant
Strict complementarily /zero substitutability between input
factors
Production Function with
Two-variable Inputs
Types of Isoquants
3. Kinked Isoquant
Limited substitutability
between input factors
Activity analysis (or)
Linear programming
isoquant
Production Function with Two-variable Inputs
Types of Isoquants
4. Smooth Convex Isoquant
 Continuous substitutability over a certain range between the
input factors
Production Function with Two-variable Inputs
Isoquants
Features of Isoquants:
 An Isoquant is downwards sloping to the right
 Higher Isoquant represents larger output
 Isoquants are convex to the origin
 No two isoquants intersect or touch each other
 Do not touch axes
Production Function
with Two-variable Inputs
Isoquant Map
 Equal Product Map
 When the whole array of
isoquants are represented on
a graph, it is called an
Isoquant Map.
 It shows how output vary as
the factor inputs are
changed
Production Function with Two-variable Inputs
MRTS
 The slope of Isoquant has a technical name.
 The Marginal rate of technical substitution refers to the r
ate at which one input factor is substituted with other to attain
a given level of output.
 MRTS = dk
dL
 MRTS is the number of units of an input factor ( ex: K ) that
a producer is willing to sacrifice for an additional unit of
another input factor (ex: L) , so as to maintain the same level of
output. (i.e., to remain on the same isoquant.)
ISO Cost Line (or)
Budget Line
 Iso costs refers to that cost curve
that represents the combination of
inputs that will cost the producer the
same amount of money.
 In other words, each iso cost
denotes a particular level of total
cost for a given level of production.
 If the given level of production
changes, the total cost changes and
thus the iso cost curve moves
upwards. And vice versa.
Optimum Combination of Inputs
(or)
Least Cost Combination of Inputs
 Expansion Path
 Expansion path gives the least cost input combinations for every
level output.
 The point or an Expansion path occur when iso-cost line and
isoquant tangent.
 At the points of tangency between isoquants and the slope of iso-
cost lines, the slope of isoquant(MRTS) is equal to iso-cost line.
 It is the locus of different points of equilibrium when the firm's produ
ction expenditure changes, input prices remaining constant.
 Superimposing the iso-costs on isoqant curve
Optimum Combination of Inputs
(or)
Least Cost Combination of Inputs
 Expansion Path
Production Function with all variable Inputs
Laws of Returns to Scale
 According to the law, the long run output can be increased by changing all the
factors in the same proportion, or by different proportions.
 Returns to scale show the responsiveness of total product when all the inputs
are increased proportionately. Returns to scale is a factor that is studied in the
long run. Returns to scale can be constant, increasing or decreasing.
 The returns to scale may be of three types
 Increasing Returns to Scale
 Decreasing Returns to Scale
 Constant Returns to Scale
Production Function with all
variable Inputs
Laws of Returns to Scale
 Increasing Returns to Scale
 If the proportionate change in output is
more than the proportionate change in
input, then we say that there are
increasing returns to scale (IRS).
 IRS: %ΔQ > %ΔI
Production Function with all
variable Inputs
Laws of Returns to Scale
 Decreasing Returns to Scale
 If the proportionate change
in output is less than the
proportionate change in input,
then we say that there are
decreasing returns to scale
(DRS).
 DRS: %ΔQ < %ΔI
Production Function with all
variable Inputs
Laws of Returns to Scale
 Constant Returns to Scale
 If the proportionate change in
output is same as the
proportionate change in input,
then we say that there are
constant returns to scale
(CRS). Symbolically,
 CRS: % ΔQ = %ΔI
Production Function with all variable Inputs
Laws of Returns to Scale
Production Function
with all variable Inputs
Laws of Returns to Scale
 Variable returns to scale
 The most typical situation is
for a production function to
have first increasing then
decreasing returns to scale.
Production Function with all variable Inputs
Laws of Returns to Scale
 The increasing returns to scale are attributable to
specialisation. As output increases, specialised labour can be
used, and efficient large-scale machinery can be employed in
the production process. However, beyond some scale of
operations not only are further gains from specialisation
limited, but also coordination problems may begin to increase
costs substantially. When coordination costs more than offset
additional benefits of specialisation, decreasing returns to
scale begin.
Cobb-Douglas Production Function
 In 1928 Charles Cobb and Paul Douglas published a study in
which they modelled the growth of the American economy
during the period 1899 - 1922.
 The Cobb-Douglas functional form of production functions is
widely used to represent the relationship of an output to
inputs.
 Originally Cobb-Douglas production function applied to the
process of an individual firm but to the whole of the
manufacturing production.
Cobb-Douglas Production Function
 Cobb-Douglas production function takes the following mathematical form
Q=A Lα K β
 Where
 Q= Output, L= Labour, K=Capital, α , β are positive parameters, α>0,
β >0
 The Equation tells that output depends directly on L and K and that part of
output which cannot be explained by L and K is explained by A which is
the 'residual' often called technical change.
 The marginal products of labour and capital are the functions of the
parameters A, α and β and the ratios of labour and capital inputs.
Cobb-Douglas Production Function
 The function estimated for the USA by Cobb and Douglas is
Q= 1.01 L0.75 C0.25
 R2= 0.9409
 The production function shows that one percent change in labor input, capital
remaining the same, is associated with a 0.75 percent change in output. Similarly,
one percent change in capital, labor remaining the same, is associated with a 0.25
percent change in output. The coefficient of determination(R2) means that 94
percent of the variations on the dependent variable(Q) were accounted for by the
variations in the independent variables ( L and C). It indicates constant returns
to scale which means that there are no economies or diseconomies of large scale
of production. On an average, large or small scale plants are considered equally
profitable in the US manufacturing Industry, on the assumption that average and
marginal production costs were constant.
Cobb-Douglas Production Function
 MPL =dQ/dL = α A Lα-1 Kβ
 MPK= dQ/dK = β A Lα Kβ-1
α+β>1 = Increasing returns to scale
α+β=1 = Constant returns to scale
α+β<1 = Decreasing returns to scale
Cobb-Douglas production function is a non-linear in its general
form, it can be transferred into linear function by taking it in
its logarithmic form. This function is also known as log linear
function.
LogQ= logA+alogL+plogK
Economies and Diseconomies of Scale
 Economies of Scale
 Economies of scale are the cost advantages that an enterprise
obtains due to expansion.
 It leads to reduction in unit costs as the scale of operations
increases.
 Diseconomies of Scale
 Diseconomies of scale are the disadvantages of being too large. A
firm that increases its scale of operation to a point where
it encounters rising long run average costs is said to be
experiencing internal diseconomies of scale.
Economies of Scale
Cost per unit decreases when quantity produced
increases
Economies of scale is a cost advantage that an
enterprise obtain due to expansion. It leads to the result
in lower unit cost.
Economies of scale occur when increased output leads
to lower unit costs or firm's marginal costs of production
decrease
Company A producing 100 units of ball, where cost per
unit is Rs. 50. At the same time, Company B producing
1000 units of ball, where cost per unit is Rs. 30 .
Economies of Scale
 The economies of Scale are classified as:
 Internal or Real Economies
 External or Pecuniary Economies
 Internal Economies or Real Economies
 Internal economies are those which arise from the expansion
of the plant size of the firm. This means internal economies
are exclusively available to the expanding firm.
 Those Specifically related to the business or firm itself
Types of Internal economies of scale
 Labour Economies
 Technical Economies
 Managerial Economies
 Marketing or Commercial Economies
 Financial Economies
 Transport & Storage Economies
 Risk bearing Economies
External Economies of Scale
 They are those benefits or advantages available to all the
firms in the industry from outside, irrespective of their size and
scale of operation, due to expansion of the industry size.
 Economies of Localisation / Concentration`
 Economies of Research and development
 Economies of Welfare
 Economies of Vertical disintegration
 Economies of By- products
Diseconomies of Scale
 Diseconomies of scale are the forces that cause larger firms
and governments to produce goods and services at increased
per-unit costs. The concept is the opposite of economies of
scale referring to a situation in which economies of scale no
longer function for a firm. Rather than experiencing
continued decreasing costs per increase in output, firms see
an increase in marginal cost when output is increased.
 The diseconomies of scale are two:
 Internal diseconomies of scale
 External diseconomies of scale
Diseconomies of Scale
 Internal diseconomies of scale
Managerial inefficiency
Labour inefficiency
 External diseconomies of scale
Breakdown of relationships with suppliers and buyers
Competition for labour
Increasing employment costs
Traffic congestion
Diseconomies of Scale
 Division of labor has reached its most efficient point, further
increase in the number of workers will lead to duplication of
workers
 The problem of coordination of different processes may
become difficult.
 There may be divergence of views concerning policy
problems among specialists in management and
reconciliation may be difficult to arrive.
 Too much of red-tapism
 Supervision may become difficult
Diseconomies of Scale
 Management problems adverse effects of managerial efficiency
 With the growth in the size of the organization, the control by those
at the top becomes weaker. Adding one more hierarchical level
removes the superior further away from the subordinates.
 As the firm expands the incidence of wrong judgments increases
and errors in judgment become costly.
 Loss from Technological change.
 Decision making process becomes slow.
 Planning, organizing, controlling etc.,
Economies and Diseconomies of Scale
THANK YOU

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Production Analysis- MEFA.pptx

  • 2. UNIT-II Elasticity of Demand, Demand Forecasting and Production Analysis Contents Elasticity of demand • Concept of Elasticity • Types of Elasticity • Price, Income, Cross and Advertising • Factors affecting and Significance of Elasticity of demand Demand Forecasting • Need for Demand Forecasting • Factors governing Demand Forecasting • Methods of Demand Forecasting(Survey methods and Statistical Methods) Production Analysis • Factors of Production • Production Function  Production Function with one variable input, two variable inputs using Isoquant and Iso costs  Optimal Combination of Resources using Isoquants and Iso costs, Law of returns  Economies and Diseconomies of Scale 2
  • 3. Production Analysis  “Production is the process that transforms inputs into output.”  This process of transformation can be  A change in Form(RM to FG) (Wood to Furniture)  A change in Space ( transport)  A change in time ( storage)  These three kinds of transformation help in enhancing usability of goods and services
  • 4.
  • 6. Production Analysis “Production is the process by which the resources (input) are transformed into a different and more useful commodity. Various inputs are combined in different quantities to produce various levels of output.” Production involves producing, storing and distributing goods and services-both tangible( steel etc.) and intangible(banking and insurance). In this production process, the manager is concerned with efficiency in the use of the inputs  Technical vs. Economic efficiency
  • 7. Production Analysis  Economic efficiency: occurs when the cost of producing a given output is as low as possible.  Technological efficiency: occurs when it is not possible to increase output without increasing inputs.  Factors affecting Production  Technology  Inputs  Time period of production
  • 8. Production Analysis  Factors of Production  Factors that are used for production are called factors of production. There are four important factors of production. They are : Land Labour Capital Entrepreneurship/Organisation  Factor of Production Price  Land Rent  Labour (skilled, semi-skilled and unskilled) Wage  Capital Interest  Entrepreneurship/ Organisation Profits
  • 9. Production Analysis Fixed and Variable Input A fixed input is the one whose quantity cannot be varied during the period under consideration. Ex-Plant and Equipment An Input whose quantity canbe changed during the period under consideration is known as variable input. Ex- Raw materials, labour, power, transportation etc.,
  • 10. Production Function  The Production function is purely a technological relationship which express the relationship between output of a good and the different combinations of inputs used in production.  It indicates the maximum amount of output that can be produced with the help of each possible combination of input. Q = f(L, K,N, …..) Where Q= Amount of output L= Labour K= Capital N= Land
  • 11. Production Function The production function rests on two main assumptions Technology is invariant It is assumed that firms utilise their inputs at maximum level of efficiency For our current analysis, let’s reduce the inputs to two, capital (K) and labour (L): Q = f(L, K)
  • 12. Production Analysis Production Function with One Variable Input  Law of variable proportions of Production Function (or)  Shor-run analysis of Production function (or)  Law of diminishing marginal returns (or) This Law states that as more and more of one input is employed, all other input quantities held constant, a point eventually be reached where additional quantities of the varying input will yield diminishing marginal contributions to total product.
  • 13. Relationship Between Total, Average, and Marginal Product: Short-Run Analysis Total product (TP): The total amount of output resulting from a given production function Average product(AP): Total product per unit of given input factor. Marginal product(MP): The change in total product per unit change in given input factor.
  • 14. Production Analysis Production Function with One Variable Input
  • 15. Production Analysis Production Function with One Variable Input
  • 16. Production Analysis Production Function with One Variable Input  In the I stage, the TP rises at an increasing rate. AP and MP also rises, MP rises at a higher rate than the AP. This stage is described as the stage of increasing returns.  In the II stage AP and MP begins to diminish, the TP rises at a diminishing rate. When the AP is maximum the MP is equal to the AP. When the MP becomes zero the TP is the maximum. This stage is described as diminishing returns stage.  In the III stage the TP begins to diminish, the AP is decreasing at this stage but remains positive up to certain point. In the III stage the MP becomes negative.
  • 17. Production Function with One Variable Input Three Stages of Production Total Product (TP) Average Product (AP) Marginal Product (MP) STAGE I Increases at an increasing rate Increases (but slower than MP) Increases and reaches its maximum STAGE II Increases at a diminishing rate and becomes maximum Starts diminishing Starts diminishing and becomes equal to zero STAGE III Reaches its maximum, becomes constant and then starts declining Continues to diminish (but must always be greater than zero) Keeps on declining and becomes negative
  • 18. Production Function with One Variable Input Three Stages of Production  STAGE 1 : INCREASING RETURNS  As the production of one factor in the combination of factor is increased upto a point, the MP of the factor will increase. Reasons:  Indivisibility of factors  Quantity of fixed factor  Division of labour  Economies
  • 19. Production Function with One Variable Input Three Stages of Production  STAGE 2 : DIMINISHING RETURNS  As the production of one factor in the combination of factor is increased after a point the average & MP of that factor will diminishing. Reasons:  Scarcity of fixed factors  Indivisibilty of fixed factor  Lack of perfect substitution of factor of production
  • 20. Production Function with One Variable Input Three Stages of Production  STAGE 3 : NEGATIVE RETURNS  MP of variable factor is negative.  Reasons:  Excessive variable factor  Inefficiency of fixed factor
  • 21. Production Function with Two-variable Inputs Isoquants  An Isoquant is a curve representing various combinations of two variable inputs that produce same amount of output.  “Iso” means equal “Quant” means quantity.  This is also known as Iso-Product curve, Equal-Product curve or Production Indifference curve.
  • 22. Production Function with Two-variable Inputs Isoquants
  • 23. Production Function with Two-variable Inputs Isoquants This may be taken either as a short run or a long run analysis of production process. Long run analysis : The firm uses only two inputs and both of them are variable. Short run analysis : The firm uses more than two inputs but only two of them are variable and others are fixed.
  • 24. Production Function with Two-variable Inputs Isoquants Types of Isoquants  Depending upon the degrees of substitutability of inputs, there are four types of Iso-quants. Linear Isoquant Input-Output Isoquant Kinked Isoquant Smooth Convex Isoquant
  • 25. Production Function with Two-variable Inputs Types of Isoquants 1. Linear isoquant  Perfect substitutability between factors of production
  • 26. Production Function with Two-variable Inputs Types of Isoquants 2. Input-Output Isoquant/Right angle Isoquant/Leontief Isoquant Strict complementarily /zero substitutability between input factors
  • 27. Production Function with Two-variable Inputs Types of Isoquants 3. Kinked Isoquant Limited substitutability between input factors Activity analysis (or) Linear programming isoquant
  • 28. Production Function with Two-variable Inputs Types of Isoquants 4. Smooth Convex Isoquant  Continuous substitutability over a certain range between the input factors
  • 29. Production Function with Two-variable Inputs Isoquants Features of Isoquants:  An Isoquant is downwards sloping to the right  Higher Isoquant represents larger output  Isoquants are convex to the origin  No two isoquants intersect or touch each other  Do not touch axes
  • 30. Production Function with Two-variable Inputs Isoquant Map  Equal Product Map  When the whole array of isoquants are represented on a graph, it is called an Isoquant Map.  It shows how output vary as the factor inputs are changed
  • 31. Production Function with Two-variable Inputs MRTS  The slope of Isoquant has a technical name.  The Marginal rate of technical substitution refers to the r ate at which one input factor is substituted with other to attain a given level of output.  MRTS = dk dL  MRTS is the number of units of an input factor ( ex: K ) that a producer is willing to sacrifice for an additional unit of another input factor (ex: L) , so as to maintain the same level of output. (i.e., to remain on the same isoquant.)
  • 32. ISO Cost Line (or) Budget Line  Iso costs refers to that cost curve that represents the combination of inputs that will cost the producer the same amount of money.  In other words, each iso cost denotes a particular level of total cost for a given level of production.  If the given level of production changes, the total cost changes and thus the iso cost curve moves upwards. And vice versa.
  • 33. Optimum Combination of Inputs (or) Least Cost Combination of Inputs  Expansion Path  Expansion path gives the least cost input combinations for every level output.  The point or an Expansion path occur when iso-cost line and isoquant tangent.  At the points of tangency between isoquants and the slope of iso- cost lines, the slope of isoquant(MRTS) is equal to iso-cost line.  It is the locus of different points of equilibrium when the firm's produ ction expenditure changes, input prices remaining constant.  Superimposing the iso-costs on isoqant curve
  • 34. Optimum Combination of Inputs (or) Least Cost Combination of Inputs  Expansion Path
  • 35. Production Function with all variable Inputs Laws of Returns to Scale  According to the law, the long run output can be increased by changing all the factors in the same proportion, or by different proportions.  Returns to scale show the responsiveness of total product when all the inputs are increased proportionately. Returns to scale is a factor that is studied in the long run. Returns to scale can be constant, increasing or decreasing.  The returns to scale may be of three types  Increasing Returns to Scale  Decreasing Returns to Scale  Constant Returns to Scale
  • 36. Production Function with all variable Inputs Laws of Returns to Scale  Increasing Returns to Scale  If the proportionate change in output is more than the proportionate change in input, then we say that there are increasing returns to scale (IRS).  IRS: %ΔQ > %ΔI
  • 37. Production Function with all variable Inputs Laws of Returns to Scale  Decreasing Returns to Scale  If the proportionate change in output is less than the proportionate change in input, then we say that there are decreasing returns to scale (DRS).  DRS: %ΔQ < %ΔI
  • 38. Production Function with all variable Inputs Laws of Returns to Scale  Constant Returns to Scale  If the proportionate change in output is same as the proportionate change in input, then we say that there are constant returns to scale (CRS). Symbolically,  CRS: % ΔQ = %ΔI
  • 39. Production Function with all variable Inputs Laws of Returns to Scale
  • 40. Production Function with all variable Inputs Laws of Returns to Scale  Variable returns to scale  The most typical situation is for a production function to have first increasing then decreasing returns to scale.
  • 41. Production Function with all variable Inputs Laws of Returns to Scale  The increasing returns to scale are attributable to specialisation. As output increases, specialised labour can be used, and efficient large-scale machinery can be employed in the production process. However, beyond some scale of operations not only are further gains from specialisation limited, but also coordination problems may begin to increase costs substantially. When coordination costs more than offset additional benefits of specialisation, decreasing returns to scale begin.
  • 42. Cobb-Douglas Production Function  In 1928 Charles Cobb and Paul Douglas published a study in which they modelled the growth of the American economy during the period 1899 - 1922.  The Cobb-Douglas functional form of production functions is widely used to represent the relationship of an output to inputs.  Originally Cobb-Douglas production function applied to the process of an individual firm but to the whole of the manufacturing production.
  • 43. Cobb-Douglas Production Function  Cobb-Douglas production function takes the following mathematical form Q=A Lα K β  Where  Q= Output, L= Labour, K=Capital, α , β are positive parameters, α>0, β >0  The Equation tells that output depends directly on L and K and that part of output which cannot be explained by L and K is explained by A which is the 'residual' often called technical change.  The marginal products of labour and capital are the functions of the parameters A, α and β and the ratios of labour and capital inputs.
  • 44. Cobb-Douglas Production Function  The function estimated for the USA by Cobb and Douglas is Q= 1.01 L0.75 C0.25  R2= 0.9409  The production function shows that one percent change in labor input, capital remaining the same, is associated with a 0.75 percent change in output. Similarly, one percent change in capital, labor remaining the same, is associated with a 0.25 percent change in output. The coefficient of determination(R2) means that 94 percent of the variations on the dependent variable(Q) were accounted for by the variations in the independent variables ( L and C). It indicates constant returns to scale which means that there are no economies or diseconomies of large scale of production. On an average, large or small scale plants are considered equally profitable in the US manufacturing Industry, on the assumption that average and marginal production costs were constant.
  • 45. Cobb-Douglas Production Function  MPL =dQ/dL = α A Lα-1 Kβ  MPK= dQ/dK = β A Lα Kβ-1 α+β>1 = Increasing returns to scale α+β=1 = Constant returns to scale α+β<1 = Decreasing returns to scale Cobb-Douglas production function is a non-linear in its general form, it can be transferred into linear function by taking it in its logarithmic form. This function is also known as log linear function. LogQ= logA+alogL+plogK
  • 46. Economies and Diseconomies of Scale  Economies of Scale  Economies of scale are the cost advantages that an enterprise obtains due to expansion.  It leads to reduction in unit costs as the scale of operations increases.  Diseconomies of Scale  Diseconomies of scale are the disadvantages of being too large. A firm that increases its scale of operation to a point where it encounters rising long run average costs is said to be experiencing internal diseconomies of scale.
  • 47. Economies of Scale Cost per unit decreases when quantity produced increases Economies of scale is a cost advantage that an enterprise obtain due to expansion. It leads to the result in lower unit cost. Economies of scale occur when increased output leads to lower unit costs or firm's marginal costs of production decrease Company A producing 100 units of ball, where cost per unit is Rs. 50. At the same time, Company B producing 1000 units of ball, where cost per unit is Rs. 30 .
  • 48. Economies of Scale  The economies of Scale are classified as:  Internal or Real Economies  External or Pecuniary Economies  Internal Economies or Real Economies  Internal economies are those which arise from the expansion of the plant size of the firm. This means internal economies are exclusively available to the expanding firm.  Those Specifically related to the business or firm itself
  • 49. Types of Internal economies of scale  Labour Economies  Technical Economies  Managerial Economies  Marketing or Commercial Economies  Financial Economies  Transport & Storage Economies  Risk bearing Economies
  • 50. External Economies of Scale  They are those benefits or advantages available to all the firms in the industry from outside, irrespective of their size and scale of operation, due to expansion of the industry size.  Economies of Localisation / Concentration`  Economies of Research and development  Economies of Welfare  Economies of Vertical disintegration  Economies of By- products
  • 51. Diseconomies of Scale  Diseconomies of scale are the forces that cause larger firms and governments to produce goods and services at increased per-unit costs. The concept is the opposite of economies of scale referring to a situation in which economies of scale no longer function for a firm. Rather than experiencing continued decreasing costs per increase in output, firms see an increase in marginal cost when output is increased.  The diseconomies of scale are two:  Internal diseconomies of scale  External diseconomies of scale
  • 52. Diseconomies of Scale  Internal diseconomies of scale Managerial inefficiency Labour inefficiency  External diseconomies of scale Breakdown of relationships with suppliers and buyers Competition for labour Increasing employment costs Traffic congestion
  • 53. Diseconomies of Scale  Division of labor has reached its most efficient point, further increase in the number of workers will lead to duplication of workers  The problem of coordination of different processes may become difficult.  There may be divergence of views concerning policy problems among specialists in management and reconciliation may be difficult to arrive.  Too much of red-tapism  Supervision may become difficult
  • 54. Diseconomies of Scale  Management problems adverse effects of managerial efficiency  With the growth in the size of the organization, the control by those at the top becomes weaker. Adding one more hierarchical level removes the superior further away from the subordinates.  As the firm expands the incidence of wrong judgments increases and errors in judgment become costly.  Loss from Technological change.  Decision making process becomes slow.  Planning, organizing, controlling etc.,