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Chapter 6
Production
Topics to be Discussed
 The Technology of Production
 Isoquants
 Production with One Variable Input
(Labor)
 Production with Two Variable Inputs
 Returns to Scale
Introduction
 Our focus is the supply side.
 The theory of the firm will address:
How a firm makes cost-minimizing
production decisions
How cost varies with output
Characteristics of market supply
Issues of business regulation
The Technology of Production
 The Production Process
Combining inputs or factors of production
to achieve an output
 Categories of Inputs (factors of
production)
Labor
Materials
Capital
The Technology of Production
 Production Function:
Indicates the highest output that a firm can
produce for every specified combination of
inputs given the state of technology.
Shows what is technically feasible when
the firm operates efficiently.
The Technology of Production
 The production function for two inputs:
Q = F(K,L)
Q = Output, K = Capital, L = Labor
 For a given technology
Isoquants
 Assumptions
Food producer has two inputs
 Labor (L) & Capital (K)
Isoquants
 Observations:
1) For any level of K, output increases
with more L.
2) For any level of L, output increases
with more K.
3) Various combinations of inputs
produce the same output.
Isoquants
 Isoquants
Curves showing all possible combinations
of inputs that yield the same output
Production Function for Food
1 20 40 55 65 75
2 40 60 75 85 90
3 55 75 90 100 105
4 65 85 100 110 115
5 75 90 105 115 120
Capital Input 1 2 3 4 5
Labor Input
Production with Two Variable Inputs (L,K)
Labor per year
1
2
3
4
1 2 3 4 5
5
Q1 = 55
The isoquants are derived
from the production
function for output of
of 55, 75, and 90.A
D
B
Q2 = 75
Q3 = 90
C
E
Capital
per year The Isoquant MapThe Isoquant Map
Isoquants
 The isoquants emphasize how different
input combinations can be used to
produce the same output.
 This information allows the producer to
respond efficiently to changes in the
markets for inputs.
Input FlexibilityInput Flexibility
Isoquants
 Short-run:
Period of time in which quantities of one or
more production factors cannot be
changed.
These inputs are called fixed inputs.
The Short Run versus the Long RunThe Short Run versus the Long Run
Isoquants
 Long-run
Amount of time needed to make all
production inputs variable.
The Short Run versus the Long RunThe Short Run versus the Long Run
Amount Amount Total Average Marginal
of Labor (L) of Capital (K) Output (Q) Product Product
Production with
One Variable Input (Labor)
0 10 0 --- ---
1 10 10 10 10
2 10 30 15 20
3 10 60 20 30
4 10 80 20 20
5 10 95 19 15
6 10 108 18 13
7 10 112 16 4
8 10 112 14 0
9 10 108 12 -4
10 10 100 10 -8
 Observations:
1) With additional workers, output (Q)
increases, reaches a maximum, and
then decreases.
Production with
One Variable Input (Labor)
 Observations:
2) The average product of labor (AP),
or output per worker, increases and
then decreases.
L
Q
InputLabor
Output
AP ==
Production with
One Variable Input (Labor)
 Observations:
3) The marginal product of labor (MP),
or output of the additional worker,
increases rapidly initially and then
decreases and becomes negative..
L
Q
InputLabor
Output
MPL
∆
∆
=
∆
∆
=
Production with
One Variable Input (Labor)
Total Product
A: slope of tangent = MP (20)
B: slope of OB = AP (20)
C: slope of OC= MP & AP
Labor per Month
Output
per
Month
60
112
0 2 3 4 5 6 7 8 9 101
A
B
C
D
Production with
One Variable Input (Labor)
Average Product
Production with
One Variable Input (Labor)
8
10
20
Outpu
t
per
Month
0 2 3 4 5 6 7 9 101 Labor per Month
30
E
Marginal Product
Observations:
Left of E: MP > AP & AP is increasing
Right of E: MP < AP & AP is decreasing
E: MP = AP & AP is at its maximum
 Observations:
When MP = 0, TP is at its maximum
When MP > AP, AP is increasing
When MP < AP, AP is decreasing
When MP = AP, AP is at its maximum
Production with
One Variable Input (Labor)
Production with
One Variable Input (Labor)
Labor
per Month
Output
per
Month
60
112
0 2 3 4 5 6 7 8 9 101
A
B
C
D
8
10
20
E
0 2 3 4 5 6 7 9 101
30
Output
per
Month
Labor
per Month
AP = slope of line from origin to a point on TP, lines b, & c.
MP = slope of a tangent to any point on the TP line, lines a & c.
 As the use of an input increases in
equal increments, a point will be
reached at which the resulting additions
to output decreases (i.e. MP declines).
Production with
One Variable Input (Labor)
The Law of Diminishing Marginal ReturnsThe Law of Diminishing Marginal Returns
 When the labor input is small, MP
increases due to specialization.
 When the labor input is large, MP
decreases due to inefficiencies.
The Law of Diminishing Marginal ReturnsThe Law of Diminishing Marginal Returns
Production with
One Variable Input (Labor)
 Can be used for long-run decisions to
evaluate the trade-offs of different plant
configurations
 Assumes the quality of the variable
input is constant
The Law of Diminishing Marginal ReturnsThe Law of Diminishing Marginal Returns
Production with
One Variable Input (Labor)
 Explains a declining MP, not
necessarily a negative one
 Assumes a constant technology
The Law of Diminishing Marginal ReturnsThe Law of Diminishing Marginal Returns
Production with
One Variable Input (Labor)
The Effect of
Technological Improvement
Labor per
time period
Output
per
time
period
50
100
0 2 3 4 5 6 7 8 9 101
A
O1
C
O3
O2
B
Labor productivity
can increase if there
are improvements in
technology, even though
any given production
process exhibits
diminishing returns to
labor.
 Malthus predicted mass hunger and
starvation as diminishing returns limited
agricultural output and the population
continued to grow.
 Why did Malthus’ prediction fail?
Malthus and the Food Crisis
Index of World Food
Consumption Per Capita
1948-1952 100
1960 115
1970 123
1980 128
1990 137
1995 135
1998 140
Year Index
Malthus and the Food Crisis
 The data show that production
increases have exceeded population
growth.
 Malthus did not take into consideration
the potential impact of technology which
has allowed the supply of food to grow
faster than demand.
Malthus and the Food Crisis
 Technology has created surpluses and
driven the price down.
 Question
If food surpluses exist, why is there
hunger?
Malthus and the Food Crisis
 Answer
The cost of distributing food from
productive regions to unproductive regions
and the low income levels of the non-
productive regions.
 Labor Productivity
InputLaborTotal
OutputTotal
tyProductiviAverage =
Production with
One Variable Input (Labor)
 Labor Productivity and the Standard of
Living
Consumption can increase only if
productivity increases.
Determinants of Productivity
 Stock of capital
 Technological change
Production with
One Variable Input (Labor)
Labor Productivity in
Developed Countries
1960-1973 4.75 4.04 8.30 2.89 2.36
1974-1986 2.10 1.85 2.50 1.69 0.71
1987-1997 1.48 2.00 1.94 1.02 1.09
United United
France Germany Japan Kingdom States
Annual Rate of Growth of Labor Productivity (%)
$54,507 $55,644 $46,048 $42,630 $60,915
Output per Employed Person (1997)
 Trends in Productivity
1) U.S. productivity is growing at a
slower rate than other countries.
2) Productivity growth in developed
countries has been decreasing.
Production with
One Variable Input (Labor)
 Explanations for Productivity Growth
Slowdown
1) Growth in the stock of capital is the
primary determinant of the growth in
productivity.
Production with
One Variable Input (Labor)
 Explanations for Productivity Growth
Slowdown
2) Rate of capital accumulation in the
U.S. was slower than other
developed countries because the
others were rebuilding after WWII.
Production with
One Variable Input (Labor)
 Explanations for Productivity Growth
Slowdown
3) Depletion of natural resources
4) Environment regulations
Production with
One Variable Input (Labor)
 Observation
U.S. productivity has increased in recent
years
 What Do You Think?
Is it a short-term aberration or a new long-
run trend?
Production with
One Variable Input (Labor)
Production with
Two Variable Inputs
 There is a relationship between
production and productivity.
 Long-run production K& L are variable.
 Isoquants analyze and compare the
different combinations of K & L and
output
The Shape of Isoquants
Labor per year
1
2
3
4
1 2 3 4 5
5
In the long run both
labor and capital are
variable and both
experience diminishing
returns.
Q1 = 55
Q2 = 75
Q3 = 90
Capital
per year
A
D
B C
E
 Reading the Isoquant Model
1) Assume capital is 3 and labor
increases from 0 to 1 to 2 to 3.
 Notice output increases at a decreasing
rate (55, 20, 15) illustrating diminishing
returns from labor in the short-run and
long-run.
Production with
Two Variable Inputs
Diminishing Marginal Rate of SubstitutionDiminishing Marginal Rate of Substitution
 Reading the Isoquant Model
2) Assume labor is 3 and capital
increases from 0 to 1 to 2 to 3.
 Output also increases at a decreasing
rate (55, 20, 15) due to diminishing
returns from capital.
Diminishing Marginal Rate of SubstitutionDiminishing Marginal Rate of Substitution
Production with
Two Variable Inputs
 Substituting Among Inputs
Managers want to determine what
combination if inputs to use.
They must deal with the trade-off between
inputs.
Production with
Two Variable Inputs
 Substituting Among Inputs
The slope of each isoquant gives the trade-
off between two inputs while keeping
output constant.
Production with
Two Variable Inputs
 Substituting Among Inputs
The marginal rate of technical substitution
equals:
inputlaborinangecapital/ChinChange-MRTS =
)oflevelfixeda(for Q
L
KMRTS
∆
∆−=
Production with
Two Variable Inputs
Marginal Rate of
Technical Substitution
Labor per month
1
2
3
4
1 2 3 4 5
5Capital
per year
Isoquants are downward
sloping and convex
like indifference
curves.
1
1
1
1
2
1
2/3
1/3
Q1 =55
Q2 =75
Q3 =90
 Observations:
1) Increasing labor in one unit
increments from 1 to 5 results in a
decreasing MRTS from 1 to 1/2.
2) Diminishing MRTS occurs because
of diminishing returns and implies
isoquants are convex.
Production with
Two Variable Inputs
 Observations:
3) MRTS and Marginal Productivity
 The change in output from a change in
labor equals:
L))((MPL ∆
Production with
Two Variable Inputs
 Observations:
3) MRTS and Marginal Productivity
 The change in output from a change in
capital equals:
Production with
Two Variable Inputs
K))((MPK ∆
 Observations:
3) MRTS and Marginal Productivity
 If output is constant and labor is
increased, then:
0K))((MPL))((MP KL =∆+∆
MRTSL)K/(-))(MP(MP KL =∆∆=
Production with
Two Variable Inputs
Isoquants When Inputs are
Perfectly Substitutable
Labor
per month
Capital
per
month
Q1 Q2 Q3
A
B
C
 Observations when inputs are perfectly
substitutable:
1) The MRTS is constant at all points on
the isoquant.
Production with
Two Variable Inputs
Perfect SubstitutesPerfect Substitutes
 Observations when inputs are perfectly
substitutable:
2) For a given output, any combination
of inputs can be chosen (A, B, or C) to
generate the same level of output
(e.g. toll booths & musical
instruments)
Production with
Two Variable Inputs
Perfect SubstitutesPerfect Substitutes
Fixed-Proportions
Production Function
Labor
per month
Capital
per
month
L1
K1
Q1
Q2
Q3
A
B
C
 Observations when inputs must be in a
fixed-proportion:
1) No substitution is possible.Each
output requires a specific amount of
each input (e.g. labor and
jackhammers).
Fixed-Proportions Production FunctionFixed-Proportions Production Function
Production with
Two Variable Inputs
 Observations when inputs must be in a
fixed-proportion:
2) To increase output requires more
labor and capital (i.e. moving from
A to B to C which is technically
efficient).
Fixed-Proportions Production FunctionFixed-Proportions Production Function
Production with
Two Variable Inputs
A Production Function for Wheat
 Farmers must choose between a capital
intensive or labor intensive technique of
production.
Isoquant Describing the
Production of Wheat
Labor
(hours per year)
Capital
(machine
hour per
year)
250 500 760 1000
40
80
120
100
90
Output = 13,800 bushels
per year
A
B
10-K =∆
260L =∆
Point A is more
capital-intensive, and
B is more labor-intensive.
 Observations:
1) Operating at A:
 L = 500 hours and K = 100
machine hours.
Isoquant Describing the
Production of Wheat
 Observations:
2) Operating at B
 Increase L to 760 and decrease K to 90
the MRTS < 1:
04.0)260/10( =−=
∆
∆=
L
K-MRTS
Isoquant Describing the
Production of Wheat
 Observations:
3) MRTS < 1, therefore the cost of labor
must be less than capital in order for
the farmer substitute labor for capital.
4) If labor is expensive, the farmer would
use more capital (e.g. U.S.).
Isoquant Describing the
Production of Wheat
 Observations:
5) If labor is inexpensive, the farmer
would use more labor (e.g. India).
Isoquant Describing the
Production of Wheat
Returns to Scale
 Measuring the relationship between the
scale (size) of a firm and output
1) Increasing returns to scale: output
more than doubles when all inputs
are doubled
 Larger output associated with lower cost (autos)
 One firm is more efficient than many (utilities)
 The isoquants get closer together
Returns to Scale
Labor (hours)
Capital
(machine
hours)
10
20
30
Increasing Returns:
The isoquants move closer together
5 10
2
4
0
A
Returns to Scale
 Measuring the relationship between the
scale (size) of a firm and output
2) Constant returns to scale: output
doubles when all inputs are doubled
 Size does not affect productivity
 May have a large number of producers
 Isoquants are equidistant apart
Returns to Scale
Labor (hours)
Capital
(machine
hours)
Constant Returns:
Isoquants are
equally
spaced
10
20
30
155 10
2
4
0
A
6
Returns to Scale
 Measuring the relationship between the
scale (size) of a firm and output
3) Decreasing returns to scale: output
less than doubles when all inputs
are doubled
 Decreasing efficiency with large size
 Reduction of entrepreneurial abilities
 Isoquants become farther apart
Returns to Scale
Labor (hours)
Capital
(machine
hours)
Decreasing Returns:
Isoquants get further
apart
10
20
30
5 10
2
4
0
A
Returns to Scale
in the Carpet Industry
 The carpet industry has grown from a
small industry to a large industry with
some very large firms.
Returns to Scale
in the Carpet Industry
 Question
Can the growth be explained by the
presence of economies to scale?
Carpet Shipments, 1996
(Millions of Dollars per Year)
The U.S. Carpet Industry
1. Shaw Industries $3,202 6. World Carpets $475
2. Mohawk Industries 1,795 7. Burlington Industries 450
3. Beaulieu of America 1,006 8. Collins & Aikman 418
4. Interface Flooring 820 9. Masland Industries 380
5. Queen Carpet 775 10. Dixied Yarns 280
Returns to Scale
in the Carpet Industry
 Are there economies of scale?
Costs (percent of cost)
 Capital -- 77%
 Labor -- 23%
Returns to Scale
in the Carpet Industry
 Large Manufacturers
Increased in machinery & labor
Doubling inputs has more than doubled
output
Economies of scale exist for large
producers
Returns to Scale
in the Carpet Industry
 Small Manufacturers
Small increases in scale have little or no
impact on output
Proportional increases in inputs increase
output proportionally
Constant returns to scale for small
producers
Summary
 A production function describes the
maximum output a firm can produce for
each specified combination of inputs.
 An isoquant is a curve that shows all
combinations of inputs that yield a given
level of output.
Summary
 Average product of labor measures the
productivity of the average worker,
whereas marginal product of labor
measures the productivity of the last
worker added.
Summary
 The law of diminishing returns explains
that the marginal product of an input
eventually diminishes as its quantity is
increased.
Summary
 Isoquants always slope downward
because the marginal product of all
inputs is positive.
 The standard of living that a country can
attain for its citizens is closely related to
its level of productivity.
Summary
 In long-run analysis, we tend to focus
on the firm’s choice of its scale or size
of operation.
End of Chapter 6
Production

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Chapter 6 production

  • 2. Topics to be Discussed  The Technology of Production  Isoquants  Production with One Variable Input (Labor)  Production with Two Variable Inputs  Returns to Scale
  • 3. Introduction  Our focus is the supply side.  The theory of the firm will address: How a firm makes cost-minimizing production decisions How cost varies with output Characteristics of market supply Issues of business regulation
  • 4. The Technology of Production  The Production Process Combining inputs or factors of production to achieve an output  Categories of Inputs (factors of production) Labor Materials Capital
  • 5. The Technology of Production  Production Function: Indicates the highest output that a firm can produce for every specified combination of inputs given the state of technology. Shows what is technically feasible when the firm operates efficiently.
  • 6. The Technology of Production  The production function for two inputs: Q = F(K,L) Q = Output, K = Capital, L = Labor  For a given technology
  • 7. Isoquants  Assumptions Food producer has two inputs  Labor (L) & Capital (K)
  • 8. Isoquants  Observations: 1) For any level of K, output increases with more L. 2) For any level of L, output increases with more K. 3) Various combinations of inputs produce the same output.
  • 9. Isoquants  Isoquants Curves showing all possible combinations of inputs that yield the same output
  • 10. Production Function for Food 1 20 40 55 65 75 2 40 60 75 85 90 3 55 75 90 100 105 4 65 85 100 110 115 5 75 90 105 115 120 Capital Input 1 2 3 4 5 Labor Input
  • 11. Production with Two Variable Inputs (L,K) Labor per year 1 2 3 4 1 2 3 4 5 5 Q1 = 55 The isoquants are derived from the production function for output of of 55, 75, and 90.A D B Q2 = 75 Q3 = 90 C E Capital per year The Isoquant MapThe Isoquant Map
  • 12. Isoquants  The isoquants emphasize how different input combinations can be used to produce the same output.  This information allows the producer to respond efficiently to changes in the markets for inputs. Input FlexibilityInput Flexibility
  • 13. Isoquants  Short-run: Period of time in which quantities of one or more production factors cannot be changed. These inputs are called fixed inputs. The Short Run versus the Long RunThe Short Run versus the Long Run
  • 14. Isoquants  Long-run Amount of time needed to make all production inputs variable. The Short Run versus the Long RunThe Short Run versus the Long Run
  • 15. Amount Amount Total Average Marginal of Labor (L) of Capital (K) Output (Q) Product Product Production with One Variable Input (Labor) 0 10 0 --- --- 1 10 10 10 10 2 10 30 15 20 3 10 60 20 30 4 10 80 20 20 5 10 95 19 15 6 10 108 18 13 7 10 112 16 4 8 10 112 14 0 9 10 108 12 -4 10 10 100 10 -8
  • 16.  Observations: 1) With additional workers, output (Q) increases, reaches a maximum, and then decreases. Production with One Variable Input (Labor)
  • 17.  Observations: 2) The average product of labor (AP), or output per worker, increases and then decreases. L Q InputLabor Output AP == Production with One Variable Input (Labor)
  • 18.  Observations: 3) The marginal product of labor (MP), or output of the additional worker, increases rapidly initially and then decreases and becomes negative.. L Q InputLabor Output MPL ∆ ∆ = ∆ ∆ = Production with One Variable Input (Labor)
  • 19. Total Product A: slope of tangent = MP (20) B: slope of OB = AP (20) C: slope of OC= MP & AP Labor per Month Output per Month 60 112 0 2 3 4 5 6 7 8 9 101 A B C D Production with One Variable Input (Labor)
  • 20. Average Product Production with One Variable Input (Labor) 8 10 20 Outpu t per Month 0 2 3 4 5 6 7 9 101 Labor per Month 30 E Marginal Product Observations: Left of E: MP > AP & AP is increasing Right of E: MP < AP & AP is decreasing E: MP = AP & AP is at its maximum
  • 21.  Observations: When MP = 0, TP is at its maximum When MP > AP, AP is increasing When MP < AP, AP is decreasing When MP = AP, AP is at its maximum Production with One Variable Input (Labor)
  • 22. Production with One Variable Input (Labor) Labor per Month Output per Month 60 112 0 2 3 4 5 6 7 8 9 101 A B C D 8 10 20 E 0 2 3 4 5 6 7 9 101 30 Output per Month Labor per Month AP = slope of line from origin to a point on TP, lines b, & c. MP = slope of a tangent to any point on the TP line, lines a & c.
  • 23.  As the use of an input increases in equal increments, a point will be reached at which the resulting additions to output decreases (i.e. MP declines). Production with One Variable Input (Labor) The Law of Diminishing Marginal ReturnsThe Law of Diminishing Marginal Returns
  • 24.  When the labor input is small, MP increases due to specialization.  When the labor input is large, MP decreases due to inefficiencies. The Law of Diminishing Marginal ReturnsThe Law of Diminishing Marginal Returns Production with One Variable Input (Labor)
  • 25.  Can be used for long-run decisions to evaluate the trade-offs of different plant configurations  Assumes the quality of the variable input is constant The Law of Diminishing Marginal ReturnsThe Law of Diminishing Marginal Returns Production with One Variable Input (Labor)
  • 26.  Explains a declining MP, not necessarily a negative one  Assumes a constant technology The Law of Diminishing Marginal ReturnsThe Law of Diminishing Marginal Returns Production with One Variable Input (Labor)
  • 27. The Effect of Technological Improvement Labor per time period Output per time period 50 100 0 2 3 4 5 6 7 8 9 101 A O1 C O3 O2 B Labor productivity can increase if there are improvements in technology, even though any given production process exhibits diminishing returns to labor.
  • 28.  Malthus predicted mass hunger and starvation as diminishing returns limited agricultural output and the population continued to grow.  Why did Malthus’ prediction fail? Malthus and the Food Crisis
  • 29. Index of World Food Consumption Per Capita 1948-1952 100 1960 115 1970 123 1980 128 1990 137 1995 135 1998 140 Year Index
  • 30. Malthus and the Food Crisis  The data show that production increases have exceeded population growth.  Malthus did not take into consideration the potential impact of technology which has allowed the supply of food to grow faster than demand.
  • 31. Malthus and the Food Crisis  Technology has created surpluses and driven the price down.  Question If food surpluses exist, why is there hunger?
  • 32. Malthus and the Food Crisis  Answer The cost of distributing food from productive regions to unproductive regions and the low income levels of the non- productive regions.
  • 33.  Labor Productivity InputLaborTotal OutputTotal tyProductiviAverage = Production with One Variable Input (Labor)
  • 34.  Labor Productivity and the Standard of Living Consumption can increase only if productivity increases. Determinants of Productivity  Stock of capital  Technological change Production with One Variable Input (Labor)
  • 35. Labor Productivity in Developed Countries 1960-1973 4.75 4.04 8.30 2.89 2.36 1974-1986 2.10 1.85 2.50 1.69 0.71 1987-1997 1.48 2.00 1.94 1.02 1.09 United United France Germany Japan Kingdom States Annual Rate of Growth of Labor Productivity (%) $54,507 $55,644 $46,048 $42,630 $60,915 Output per Employed Person (1997)
  • 36.  Trends in Productivity 1) U.S. productivity is growing at a slower rate than other countries. 2) Productivity growth in developed countries has been decreasing. Production with One Variable Input (Labor)
  • 37.  Explanations for Productivity Growth Slowdown 1) Growth in the stock of capital is the primary determinant of the growth in productivity. Production with One Variable Input (Labor)
  • 38.  Explanations for Productivity Growth Slowdown 2) Rate of capital accumulation in the U.S. was slower than other developed countries because the others were rebuilding after WWII. Production with One Variable Input (Labor)
  • 39.  Explanations for Productivity Growth Slowdown 3) Depletion of natural resources 4) Environment regulations Production with One Variable Input (Labor)
  • 40.  Observation U.S. productivity has increased in recent years  What Do You Think? Is it a short-term aberration or a new long- run trend? Production with One Variable Input (Labor)
  • 41. Production with Two Variable Inputs  There is a relationship between production and productivity.  Long-run production K& L are variable.  Isoquants analyze and compare the different combinations of K & L and output
  • 42. The Shape of Isoquants Labor per year 1 2 3 4 1 2 3 4 5 5 In the long run both labor and capital are variable and both experience diminishing returns. Q1 = 55 Q2 = 75 Q3 = 90 Capital per year A D B C E
  • 43.  Reading the Isoquant Model 1) Assume capital is 3 and labor increases from 0 to 1 to 2 to 3.  Notice output increases at a decreasing rate (55, 20, 15) illustrating diminishing returns from labor in the short-run and long-run. Production with Two Variable Inputs Diminishing Marginal Rate of SubstitutionDiminishing Marginal Rate of Substitution
  • 44.  Reading the Isoquant Model 2) Assume labor is 3 and capital increases from 0 to 1 to 2 to 3.  Output also increases at a decreasing rate (55, 20, 15) due to diminishing returns from capital. Diminishing Marginal Rate of SubstitutionDiminishing Marginal Rate of Substitution Production with Two Variable Inputs
  • 45.  Substituting Among Inputs Managers want to determine what combination if inputs to use. They must deal with the trade-off between inputs. Production with Two Variable Inputs
  • 46.  Substituting Among Inputs The slope of each isoquant gives the trade- off between two inputs while keeping output constant. Production with Two Variable Inputs
  • 47.  Substituting Among Inputs The marginal rate of technical substitution equals: inputlaborinangecapital/ChinChange-MRTS = )oflevelfixeda(for Q L KMRTS ∆ ∆−= Production with Two Variable Inputs
  • 48. Marginal Rate of Technical Substitution Labor per month 1 2 3 4 1 2 3 4 5 5Capital per year Isoquants are downward sloping and convex like indifference curves. 1 1 1 1 2 1 2/3 1/3 Q1 =55 Q2 =75 Q3 =90
  • 49.  Observations: 1) Increasing labor in one unit increments from 1 to 5 results in a decreasing MRTS from 1 to 1/2. 2) Diminishing MRTS occurs because of diminishing returns and implies isoquants are convex. Production with Two Variable Inputs
  • 50.  Observations: 3) MRTS and Marginal Productivity  The change in output from a change in labor equals: L))((MPL ∆ Production with Two Variable Inputs
  • 51.  Observations: 3) MRTS and Marginal Productivity  The change in output from a change in capital equals: Production with Two Variable Inputs K))((MPK ∆
  • 52.  Observations: 3) MRTS and Marginal Productivity  If output is constant and labor is increased, then: 0K))((MPL))((MP KL =∆+∆ MRTSL)K/(-))(MP(MP KL =∆∆= Production with Two Variable Inputs
  • 53. Isoquants When Inputs are Perfectly Substitutable Labor per month Capital per month Q1 Q2 Q3 A B C
  • 54.  Observations when inputs are perfectly substitutable: 1) The MRTS is constant at all points on the isoquant. Production with Two Variable Inputs Perfect SubstitutesPerfect Substitutes
  • 55.  Observations when inputs are perfectly substitutable: 2) For a given output, any combination of inputs can be chosen (A, B, or C) to generate the same level of output (e.g. toll booths & musical instruments) Production with Two Variable Inputs Perfect SubstitutesPerfect Substitutes
  • 57.  Observations when inputs must be in a fixed-proportion: 1) No substitution is possible.Each output requires a specific amount of each input (e.g. labor and jackhammers). Fixed-Proportions Production FunctionFixed-Proportions Production Function Production with Two Variable Inputs
  • 58.  Observations when inputs must be in a fixed-proportion: 2) To increase output requires more labor and capital (i.e. moving from A to B to C which is technically efficient). Fixed-Proportions Production FunctionFixed-Proportions Production Function Production with Two Variable Inputs
  • 59. A Production Function for Wheat  Farmers must choose between a capital intensive or labor intensive technique of production.
  • 60. Isoquant Describing the Production of Wheat Labor (hours per year) Capital (machine hour per year) 250 500 760 1000 40 80 120 100 90 Output = 13,800 bushels per year A B 10-K =∆ 260L =∆ Point A is more capital-intensive, and B is more labor-intensive.
  • 61.  Observations: 1) Operating at A:  L = 500 hours and K = 100 machine hours. Isoquant Describing the Production of Wheat
  • 62.  Observations: 2) Operating at B  Increase L to 760 and decrease K to 90 the MRTS < 1: 04.0)260/10( =−= ∆ ∆= L K-MRTS Isoquant Describing the Production of Wheat
  • 63.  Observations: 3) MRTS < 1, therefore the cost of labor must be less than capital in order for the farmer substitute labor for capital. 4) If labor is expensive, the farmer would use more capital (e.g. U.S.). Isoquant Describing the Production of Wheat
  • 64.  Observations: 5) If labor is inexpensive, the farmer would use more labor (e.g. India). Isoquant Describing the Production of Wheat
  • 65. Returns to Scale  Measuring the relationship between the scale (size) of a firm and output 1) Increasing returns to scale: output more than doubles when all inputs are doubled  Larger output associated with lower cost (autos)  One firm is more efficient than many (utilities)  The isoquants get closer together
  • 66. Returns to Scale Labor (hours) Capital (machine hours) 10 20 30 Increasing Returns: The isoquants move closer together 5 10 2 4 0 A
  • 67. Returns to Scale  Measuring the relationship between the scale (size) of a firm and output 2) Constant returns to scale: output doubles when all inputs are doubled  Size does not affect productivity  May have a large number of producers  Isoquants are equidistant apart
  • 68. Returns to Scale Labor (hours) Capital (machine hours) Constant Returns: Isoquants are equally spaced 10 20 30 155 10 2 4 0 A 6
  • 69. Returns to Scale  Measuring the relationship between the scale (size) of a firm and output 3) Decreasing returns to scale: output less than doubles when all inputs are doubled  Decreasing efficiency with large size  Reduction of entrepreneurial abilities  Isoquants become farther apart
  • 70. Returns to Scale Labor (hours) Capital (machine hours) Decreasing Returns: Isoquants get further apart 10 20 30 5 10 2 4 0 A
  • 71. Returns to Scale in the Carpet Industry  The carpet industry has grown from a small industry to a large industry with some very large firms.
  • 72. Returns to Scale in the Carpet Industry  Question Can the growth be explained by the presence of economies to scale?
  • 73. Carpet Shipments, 1996 (Millions of Dollars per Year) The U.S. Carpet Industry 1. Shaw Industries $3,202 6. World Carpets $475 2. Mohawk Industries 1,795 7. Burlington Industries 450 3. Beaulieu of America 1,006 8. Collins & Aikman 418 4. Interface Flooring 820 9. Masland Industries 380 5. Queen Carpet 775 10. Dixied Yarns 280
  • 74. Returns to Scale in the Carpet Industry  Are there economies of scale? Costs (percent of cost)  Capital -- 77%  Labor -- 23%
  • 75. Returns to Scale in the Carpet Industry  Large Manufacturers Increased in machinery & labor Doubling inputs has more than doubled output Economies of scale exist for large producers
  • 76. Returns to Scale in the Carpet Industry  Small Manufacturers Small increases in scale have little or no impact on output Proportional increases in inputs increase output proportionally Constant returns to scale for small producers
  • 77. Summary  A production function describes the maximum output a firm can produce for each specified combination of inputs.  An isoquant is a curve that shows all combinations of inputs that yield a given level of output.
  • 78. Summary  Average product of labor measures the productivity of the average worker, whereas marginal product of labor measures the productivity of the last worker added.
  • 79. Summary  The law of diminishing returns explains that the marginal product of an input eventually diminishes as its quantity is increased.
  • 80. Summary  Isoquants always slope downward because the marginal product of all inputs is positive.  The standard of living that a country can attain for its citizens is closely related to its level of productivity.
  • 81. Summary  In long-run analysis, we tend to focus on the firm’s choice of its scale or size of operation.
  • 82. End of Chapter 6 Production