Economies of Scale in U.S. Electric Power Generation
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Transcript Economies of Scale in U.S. Electric Power Generation
Economies of Scale in U.S. Electric
Power Generation
(1976)
Authors: Laurits R. Christensen and William H. Greene
Presented by: Jared Hayden
Econ 435
Overview
Study aims to estimate economies of scale for U.S.
firms producing electric power
Comparison between 1955 and 1970 using cross
sectional data
Data analyzed using a translog cost function
The paper adds and compares results to the
pioneering work on the subject done by Marc Nerlove
(1963)
1976 Context
Electricity rates rising at “historically unprecedented rates”
Weiss proposes idea to vertically disintegrate the industry
by separating generation from transmission and
distribution (1975)
Weiss believed competition in generation would put
downward pressure on electricity rates
Leads to critical question: Would significant scale
economies be sacrificed by allowing many potential
suppliers to compete in generation market?
If so, could offset the benefits of increased competition
Need for Study
The regulation of the U.S. electric power industry is on the firm
level
Information on the economies of scale for firms is required to
assess the affect of such a reorganization of the industy
This study aims to attain this information by using the
neoclassical cost function approach, as Nerlove (1963) pioneered
Advancements in duality theory and functional form
specification between 1963 and 1976 allow a more general
model than that of Nerlove
The study places emphasis on distinguishing economies of scale
and decreases in cost due to technical change.
Accomplish this by using cross-sectional data on firms with same
access to plant design
Show change over time by analyzing Nerlove’s data from 1955
and new data from 1970
Electric Power Industry
Dominant form of electricity generation in time period was steamdriven turbines (i.e. coal plants)
Nuclear had yet to make and impact and hydro was running out of
attractive dam sites.
Internal combustion engines primarily employed in only peak demand
periods.
Study limits attention to conventional steam driven plants
Conventional plants account for 90% of sample firms’ total generation
Study also limits sample to investor owned utilities with upwards of
$1 million in annual revenue
Accounts for 77% of total power produced in the U.S. in 1970
Economies of Scale in
ElectricityGeneration
It is unanimously agreed upon that economies of
scale exists in electricity generation
Debate lies over what range the economies of scale
exists
Hulbert (1969) estimated that economies of scale exist
all the way up to 25,000 MW
Johnson (1960) and Nerlove (1963) concluded that
economies of scale were exhausted at a “relatively
modest firm size”
Electricity Growth1955-1970
1955 sales to ultimate consumers: 369 billion kWh
1970 sales to ultimate consumers: 1,085 billion kWh
Number of firms declined slightly, so output per firm
increased threefold!
Technology allowed firms to expand to exploit scale
economies or rapid expansion has exhausted
economies of scale??
Need for current econometric analysis.
Modeling Neoclassical Cost Function
Duality theory: cost and production functions which are
dual to each other.
Chose to estimate cost function
Input levels endogenous
Output level and input prices exogenous
Allows implied demand equations that are linear in
parameters and represent general production structures
Chose translog cost function
No restrictions on substitution possibilities
Allows scale economies to vary with output
Special cases of translog function can be directly compared to
Nerlove’s findings
Translog Cost Function
Y = output
Pi’s = prices of factor inputs (K,L,F)
Yij = Yji
Homogenous of degree 1 in prices
i.e. total cost increases proportionally
to all prices increasing by factor, holding
output constant
Implications
Derived Functions
Demand function for production factors (Shephard’s Lemma!)
Cost Share of ith-factor input
Allen partial elasticities of substitution
Own-price elasticity of demand for ith factor of production
Scale Economies (1-elasticity of total cost with respect to output)
*positive = scale economies , negative = scale diseconomies
*natural interpretation in percentage terms
Translog Function Restrictions
Translog function does not impose homothetic or
homogeneity restrictions
Homothetic: monotonic transformation of homogenous
function
Homogenous: f(tx1 + tx2) = tk(x1 + x2)
Can be restricted and tested statistically
Can also restrict to being unitarily elastic by eliminating the
second order term in prices
Homotheticity restriction:
Homogeneity restictions:
Unitary elasticity restriction:
6 Models
Model A: Translog Function
Model B: Translog with homotheticity restriction
Model C: Translog with homogeneity restriction
Model D: Translog with unitary elasticity restriction
Model E: Translog with homotheticity and unitary elasticity restrictions
Model F: Translog with homogeneity and unitary elasticity restrictions
Estimation Procedure
OLS is attractive in simplicity, but neglects information in
cost shares and multicollinearity may be a problem
Cost shares as a multivariate regression system inadequate
as crucial cost function information is neglected
Chose procedure of jointly estimating cost function and
cost shares a multivariate regression system
Specify additive disturbances for each of the share equations
(assume joint normal distribution)
Allow nonzero correlations for single firm but zero
correlations across firms (Zellner procedure)
Delete one of the share equations from system for system to
work
Data
Capital, Labor, and Fuel as inputs (K, L, F)
Require prices and cost shares for 3 inputs
Nerlove’s did not construct cost share data and mis-specified
holding companies (possibly underestimating scale economies)
Christensen and Greene revised his work to compare results (reduced
1955 observations from 145 to 124)
1970 data includes 114 firms and holding companies
Used same data procedures as Nerlove with two exceptions:
Used plant by plant fuel prices instead of state averages
Used plant by plant labor prices instead of state averages
Three data sets were used for each model (A-F)
1955I, 1955II (revised), 1970
Empirical Results
Model A-1955II and 1970
• T-ratios suggest
nonhomotheticity
parameters (Yyi) and
substitution parameters (Yij)
that neither homotheticity
hypothesis nor unitary
elasticity hypothesis is
consistent with any of the
data sets
• Confirmed by table 5 by
likelihood ratio statistics (all
restricted models rejected
handily)
Estimated Elasticities
• Shows that there may be significant substitution
possibilities at the firm level
Estimated Economies of Scale
• Homogenous models
incorrectly show inexhaustible
scale economies
• Non-homogenous models show
the scale economies are being
exhausted with in the output
range of the sample
• Unitary elasticity yields a worse
fit to data, but little effect on
estimation of scale economies
• “erroneous” Nerlove model
used incorrect formula
• Shows U shape of Average Cost
Curve
1955 Average Cost Curves (Nerlove)
• Implies Nerlove
underestimated
scale economies
• Shown by
homogenous
models C and F
Estimated Economies of Scale at Firm
Level
• Can observe trend of
flattening average
cost curve
• Economies of scale
decrease as the firm
grows large
Model A Average Cost Curves (1955I,
1955II, and 1970)
Ranges of Significant Scale
Economies
Model A-No significant economies
range (1970)
*5% significance
Conclusions
There is large range of firm size yielding constant returns to scale
Aggregate cost related to number of firms operating in flat area of
average cost curve
Drop in cost attributed mostly to technical change, not
exploitations of economies of scale (still some relatively small gains
from scale economies)
1970 average cost curve downward displacement of 1955II average cost
curve
Little correlation between cost reduction and firm growth rate
Reducing number of generation firms may yield cost savings
If all firms operated at minimum average cost, could save $175.1 million
(47.9% labor, 28.3% capital, 23.8% fuel)
33 firms could produce total output that was generated by 114 firms in
1970
Grand Conclusions
1955: scale economies available to most firms
1970: majority of electricity generation operating on flat
portion of average cost curve
Great scale economies at low levels of output, but average
cost curves flatten out at relatively moderate firm size
A small number of very large firms not required for optimal
exploitation of scale economies
Policies designed to promote competition in generation
cannot be faulted in terms of sacrificing scale economies
THE END
Potential question:
How would inclusion of modern generation mix change
the paper? (Coal, Nuclear, Natural Gas)