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Are all scales optimal in Dea? Theory and empirical evidence

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Author Info
Lennart Hjalmarsson ()
Finn R. Førsund ()

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Abstract

Policy recommendations concerning optimal scale of production units often have serious implications for the restructuring of a sector, while tests of natural monopoly have important implications for regulatory structure. The piecewise linear frontier production function framework is becoming the most popular one for assessing not only technical efficiency of operations, but also for scale efficiency and calculation of optimal scale sizes. The main purpose of the present study is to check if neoclassical production theory gives any guidance as to the nature of scale properties in the DEA model, and to empirically investigate such properties. The empirical results indicate that optimal scale may be found over almost the entire size variations in outputs and inputs, thus making policy recommendations about scale efficiency dubious. It is necessary to establish the nature of optimal scale before any practical use can be made. Proposals for such indexes that should be calculated are provided.

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Publisher Info
Paper provided by ICER - International Centre for Economic Research in its series ICER Working Papers with number 14-2002.

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Length: 26 pages
Date of creation: Feb 2002
Date of revision:
Handle: RePEc:icr:wpicer:14-2002

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Related research
Keywords: Optimal scale scale elasticity data envelopment analysis (DEA) frontier production functions duals

Other versions of this item:

Find related papers by JEL classification:
C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis
D20 - Microeconomics - - Production and Organizations - - - General
L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods

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References listed on IDEAS
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  1. McFadden, Daniel, 1978. "Cost, Revenue, and Profit Functions," Histoy of Economic Thought Chapters, in: Fuss, Melvyn & McFadden, Daniel (ed.), Production Economics: A Dual Approach to Theory and Applications, volume 1, chapter 1 McMaster University Archive for the History of Economic Thought. [Downloadable!]
  2. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July. [Downloadable!] (restricted)
  3. Starrett, David A, 1977. "Measuring Returns to Scale in the Aggregate, and the Scale Effect of Public Goods," Econometrica, Econometric Society, vol. 45(6), pages 1439-55, September. [Downloadable!] (restricted)
  4. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September. [Downloadable!] (restricted)
  5. Panzar, John C & Willig, Robert D, 1977. "Economies of Scale in Multi-Output Production," The Quarterly Journal of Economics, MIT Press, vol. 91(3), pages 481-93, August. [Downloadable!] (restricted)
  6. Kim, H Youn, 1987. "Economies of Scale in Multi-product Firms: An Empirical Analysis," Economica, London School of Economics and Political Science, vol. 54(214), pages 185-206, May. [Downloadable!] (restricted)
  7. Hjalmarsson, Lennart & Veiderpass, Ann, 1992. " Productivity in Swedish Electricity Retail Distribution," Scandinavian Journal of Economics, Blackwell Publishing, vol. 94(0), pages S193-205, Supplemen.
  8. Hanoch, Giora, 1970. "Homotheticity in joint production," Journal of Economic Theory, Elsevier, vol. 2(4), pages 423-426, December. [Downloadable!] (restricted)
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