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Production with Two Outputs--Economies of Scope:Cubic Cost Function

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Microeconomics ­ECO402
VU
Lesson 21
Production with Two Outputs--Economies of Scope
Economies of scope exist when the joint output of a single firm is greater than the output
that could be achieved by two different firms each producing a single output.
Examples:
­ Chicken farm--poultry and eggs
­ Automobile company--cars and trucks
­ University--Teaching and research
What are the advantages of joint production?
­ Consider an automobile company producing cars and tractors
Advantages
1) Both use capital and labor.
2) The firms share management resources.
3) Both use the same labor skills and type of machinery.
Production:
­ Firms must choose how much of each to produce.
­ The alternative quantities can be illustrated using product transformation curves.
Product Transformation Curve
Each curve shows
Number
combinations of output
of tractors
with a given
combination
of L & K.
O1 illustrates a low
O2
level of output. O2
illustrates a higher level
of output with two times
as much labor and
O1
capital.
Number of cars
Observations
­ Product transformation curves are negatively sloped
­ Constant returns exist in this example
­ Since the production transformation curve is concave is joint production desirable?
­ There is no direct relationship between economies of scope and economies of scale.
­  May experience economies of scope and diseconomies of scale
­  May have economies of scale and not have economies of scope
The degree of economies of scope measures the savings in cost and can be written:
C( Q 1 ) + C ( Q 2 ) - C ( Q 1 , Q 2 )
SC =
C ( Q 1, Q 2 )
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Microeconomics ­ECO402
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C(Q1) is the cost of producing Q1
­
­ C(Q2) is the cost of producing Q2
­ C(Q1Q2) is the joint cost of producing both products
Interpretation:
­ If SC > 0 -- Economies of scope
­ If SC < 0 -- Diseconomies of scope
Issues
­ Truckload versus less than truck load
­ Direct versus indirect routing
­ Length of haul
Economies of Scope in the Trucking Industry
Questions:
­ Economies of Scope
­  Are large-scale, direct hauls cheaper and more profitable than individual hauls by
small trucks?
­  Are there cost advantages from operating both direct and indirect hauls?
Empirical Findings
­ An analysis of 105 trucking firms examined four distinct outputs.
­  Short hauls with partial loads
­  Intermediate hauls with partial loads
­  Long hauls with partial loads
­  Hauls with total loads
­ Results
­  SC = 1.576 for reasonably large firm
­  SC = 0.104 for very large firms
­ Interpretation
­  Combining partial loads at an intermediate location lowers cost management
difficulties with very large firms.
Dynamic Changes in Costs--The Learning Curve
The learning curve measures the impact of worker's experience on the costs of
production.
It describes the relationship between a firm's cumulative output and amount of inputs
needed to produce a unit of output.
Hours of labor
per machine lot
10
8
6
4
2
Cumulative number of
machine lots produced
0
20
30
40
50
10
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Microeconomics ­ECO402
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The horizontal axis measures the cumulative number of hours of machine tools the firm has
produced
The vertical axis measures the number of hours of labor needed to produce each lot.
The learning curve in the figure is based on the relationship:
L = A + BN-β
If N=1
­ L equals A + B and this measures labor input to produce the first unit of output
­
If β = 0
­ Labor input remains constant as the cumulative level of output increases, so there is no
learning
If β > 0 and N increases
­ L approaches A, and A represent minimum labor input/unit of output after all learning
has taken place.
­
The larger β:
­ The more important the learning effect.
The chart shows a sharp drop
Hours of labor
in lots to a cumulative amount of
per
10
20, then small savings at
machine lot
higher levels.
8
Doubling cumulative output causes
a 20% reduction in the difference
6
between the input required and
minimum attainable input
requirement
4
β = 0.31
2
Cumulative number
of machine lots
0
50
20
30
10
40
produced
Observations
1) New firms may experience a learning curve, not economies of scale.
2) Older firms have relatively small gains from learning.
Economies of Scale Versus Learning
Cost
($ per unit
of output)
Economies of Scale
A
B
AC1
Learning
C
AC2
Output
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Microeconomics ­ECO402
VU
Predicting the Labor Requirements of Producing a Given Output
Cumulative Output
Per-Unit Labor Requirement
Total Labor
(N)
for each 10 units of Output (L)
Requirement
10
1.00
10.0
20
.80
18.0 (10.0 + 8.0)
30
.70
25.0 (18.0 + 7.0)
40
.64
31.4 (25.0 + 6.4)
50
.60
37.4 (31.4 + 6.0)
60
.56
43.0 (37.4 + 5.6)
70
.53
48.3 (43.0 + 5.3)
80 and over
.51
53.4 (48.3 + 5.1)
The learning curve implies:
1) The labor requirement falls per unit.
2) Costs will be high at first and then will fall with learning.
3) After 8 years the labor requirement will be 0.51 and per unit cost will be half
what
it was in the first year of production?
Learning Curve in Practice
Scenario
­ A new firm enters the chemical processing industry.
Do they:
1) Produce a low level of output and sell at a high price?
2)
Produce a high level of output and sell at a low price?
How would the learning curve influence your decision?
The Empirical Findings
­ Study of 37 chemical products
­  Average cost fell 5.5% per year
­  For each doubling of plant size, average production costs fall by 11%
­  For each doubling of cumulative output, the average cost of production falls by 27%
Which is more important, the economies of scale or learning effects?
Other Empirical Findings
­ In the semi-conductor industry a study of seven generations of DRAM semiconductors
from 1974-1992 found learning rates averaged 20%.
­ In the aircraft industry the learning rates are as high as 40%.
Applying Learning Curves
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Microeconomics ­ECO402
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1)
To determine if it is profitable to enter an industry.
2)
To determine when profits will occur based on plant size and cumulative
output.
Estimating and Predicting Cost
Estimates of future costs can be obtained from a cost function, which relates the cost of
production to the level of output and other variables that the firm can control.
Suppose we wanted to derive the total cost curve for automobile production.
Total Cost Curve for the Automobile Industry
Variable
General Motors
cost
Nissa
Toyot
Hond
Volvo
For
Chrysle
Quantity of Cars
Estimating and Predicting Cost
A linear cost function (does not show the U-shaped characteristics) might be:
β Q
=
VC
The linear cost function is applicable only if marginal cost is constant.
­ Marginal cost is represented by β.
If we wish to allow for a U-shaped average cost curve and a marginal cost that is not
constant, we might use the quadratic cost function:
= β Q + γ Q
2
VC
If the marginal cost curve is not linear, we might use a cubic cost function:
VC = β Q + γ Q
+δQ
2
3
Cost
($ per unit)
MC = β + 2γ Q + 3δ Q2
= β + γQ + δQ
2
AVC
Output
(per time period)
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Microeconomics ­ECO402
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Cubic Cost Function
Difficulties in Measuring Cost
1) Output data may represent an aggregate of different type of products.
2) Cost data may not include opportunity cost.
3) Allocating cost to a particular product may be difficult when there is more than one
product line.
Cost Functions and the Measurement of Scale Economies
­ Scale Economy Index (SCI)
· EC = 1, SCI = 0: no economies or diseconomies of scale
· EC > 1, SCI is negative: diseconomies of scale
· EC < 1, SCI is positive: economies of scale
Cost Functions for Electric Power
Scale Economies in the Electric Power Industry
Output (million kwh)
43
338
1109
2226
5819
Value of SCI, 1955
.41
.26
.16
.10
.04
Average Cost of Production in the Electric Power Industry
Average
Cost
(dollar/1000
kwh)
6.5
6.0
1955
A
5.5
5.0
1970
6
24
12
18
30
36
Output (billions of kwh)
Findings
­ Decline in cost
· Not due to economies of scale
· Was caused by:
­ Lower input cost (coal & oil)
­ Improvements in technology
A Cost Function for the Savings and Loan Industry
The empirical estimation of a long-run cost function can be useful in the restructuring of the
savings and loan industry in the wake of the savings and loan collapse in the 1980s.
Data for 86 savings and loans for 1975 & 1976 in six western states
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Microeconomics ­ECO402
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­ Q = total assets of each S&L
­ LAC = average operating expense
­ Q & TC are measured in hundreds of millions of dollars
­ Average operating cost are measured as a percentage of total assets.
A quadratic long-run average cost function was estimated for 1975:
LAC = 2.38 - 0.6153Q + 0.0536Q  2
Minimum long-run average cost reaches its point of minimum average total cost when total
assets of the savings and loan reach $574 million.
Average operating expenses are 0.61% of total assets.
Almost all of the savings and loans in the region being studied had substantially less than
$574 million in assets.
Questions
1) What are the implications of the analysis for expansion and mergers?
2) What are the limitations of using these results?
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Table of Contents:
  1. ECONOMICS:Themes of Microeconomics, Theories and Models
  2. Economics: Another Perspective, Factors of Production
  3. REAL VERSUS NOMINAL PRICES:SUPPLY AND DEMAND, The Demand Curve
  4. Changes in Market Equilibrium:Market for College Education
  5. Elasticities of supply and demand:The Demand for Gasoline
  6. Consumer Behavior:Consumer Preferences, Indifference curves
  7. CONSUMER PREFERENCES:Budget Constraints, Consumer Choice
  8. Note it is repeated:Consumer Preferences, Revealed Preferences
  9. MARGINAL UTILITY AND CONSUMER CHOICE:COST-OF-LIVING INDEXES
  10. Review of Consumer Equilibrium:INDIVIDUAL DEMAND, An Inferior Good
  11. Income & Substitution Effects:Determining the Market Demand Curve
  12. The Aggregate Demand For Wheat:NETWORK EXTERNALITIES
  13. Describing Risk:Unequal Probability Outcomes
  14. PREFERENCES TOWARD RISK:Risk Premium, Indifference Curve
  15. PREFERENCES TOWARD RISK:Reducing Risk, The Demand for Risky Assets
  16. The Technology of Production:Production Function for Food
  17. Production with Two Variable Inputs:Returns to Scale
  18. Measuring Cost: Which Costs Matter?:Cost in the Short Run
  19. A Firm’s Short-Run Costs ($):The Effect of Effluent Fees on Firms’ Input Choices
  20. Cost in the Long Run:Long-Run Cost with Economies & Diseconomies of Scale
  21. Production with Two Outputs--Economies of Scope:Cubic Cost Function
  22. Perfectly Competitive Markets:Choosing Output in Short Run
  23. A Competitive Firm Incurring Losses:Industry Supply in Short Run
  24. Elasticity of Market Supply:Producer Surplus for a Market
  25. Elasticity of Market Supply:Long-Run Competitive Equilibrium
  26. Elasticity of Market Supply:The Industry’s Long-Run Supply Curve
  27. Elasticity of Market Supply:Welfare loss if price is held below market-clearing level
  28. Price Supports:Supply Restrictions, Import Quotas and Tariffs
  29. The Sugar Quota:The Impact of a Tax or Subsidy, Subsidy
  30. Perfect Competition:Total, Marginal, and Average Revenue
  31. Perfect Competition:Effect of Excise Tax on Monopolist
  32. Monopoly:Elasticity of Demand and Price Markup, Sources of Monopoly Power
  33. The Social Costs of Monopoly Power:Price Regulation, Monopsony
  34. Monopsony Power:Pricing With Market Power, Capturing Consumer Surplus
  35. Monopsony Power:THE ECONOMICS OF COUPONS AND REBATES
  36. Airline Fares:Elasticities of Demand for Air Travel, The Two-Part Tariff
  37. Bundling:Consumption Decisions When Products are Bundled
  38. Bundling:Mixed Versus Pure Bundling, Effects of Advertising
  39. MONOPOLISTIC COMPETITION:Monopolistic Competition in the Market for Colas and Coffee
  40. OLIGOPOLY:Duopoly Example, Price Competition
  41. Competition Versus Collusion:The Prisoners’ Dilemma, Implications of the Prisoners
  42. COMPETITIVE FACTOR MARKETS:Marginal Revenue Product
  43. Competitive Factor Markets:The Demand for Jet Fuel
  44. Equilibrium in a Competitive Factor Market:Labor Market Equilibrium
  45. Factor Markets with Monopoly Power:Monopoly Power of Sellers of Labor