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Estimating economies of scale and scope with flexible technology

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  • Triebs, Thomas P.
  • Saal, David S.
  • Arocena, Pablo
  • Kumbhakar, Subal C.

Abstract

Economies of scope are typically modelled and estimated using a cost function that is common to all firms in an industry irrespective of their type, e.g. whether they specialize in a single output or produce multiple outputs. Instead, we estimate a flexible technology model that allows for type-specific technologies and show how it can be estimated using linear parametric forms including the translog. A common technology remains a special case of our model and is testable econometrically. Our sample, of publicly owned US electric utilities, does not support a common technology for integrated and specialized firms. Our empirical results therefore suggest that assuming a common technology might bias estimates of economies of scale and scope. Thus, how we model the production technology clearly influences the policy conclusions we draw from its characteristics.

Suggested Citation

  • Triebs, Thomas P. & Saal, David S. & Arocena, Pablo & Kumbhakar, Subal C., 2016. "Estimating economies of scale and scope with flexible technology," Munich Reprints in Economics 43531, University of Munich, Department of Economics.
  • Handle: RePEc:lmu:muenar:43531
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    11. Maria Molinos-Senante & Alexandros Maziotis, 2021. "Productivity growth, economies of scale and scope in the water and sewerage industry: The Chilean case," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-16, May.
    12. Badunenko, Oleg & Kumbhakar, Subal C., 2017. "Economies of scale, technical change and persistent and time-varying cost efficiency in Indian banking: Do ownership, regulation and heterogeneity matter?," European Journal of Operational Research, Elsevier, vol. 260(2), pages 789-803.
    13. Byoung-Kuk Ju & Seung-Hoon Yoo & Chulwoo Baek, 2022. "Economies of Scale in City Gas Sector in Seoul, South Korea: Evidence from an Empirical Investigation," Sustainability, MDPI, vol. 14(9), pages 1-14, April.
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    16. Philipp Steinbrunner, 2023. "I want a quiet life! On productivity and competition in the Central European energy sector," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(2), pages 403-428, April.
    17. Danelon, André Felipe & Augusto, Fernanda Gaudio & Spolador, Humberto Francisco Silva, 2021. "Water resource quality effects on water treatment costs: An analysis for the Brazilian case," Ecological Economics, Elsevier, vol. 188(C).
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    19. Maximilian Koppenberg, 2023. "Markups, organic agriculture and downstream concentration at the example of European dairy farmers," Agricultural Economics, International Association of Agricultural Economists, vol. 54(2), pages 161-178, March.
    20. Danelon, André F. & Kumbhakar, Subal C., 2023. "Estimating COVID-19 under-reporting through stochastic frontier analysis and official statistics: A case study of São Paulo State, Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    21. Stefan Seifert, 2016. "Semi-Parametric Measures of Scale Characteristics of German Natural Gas-Fired Electricity Generation," Discussion Papers of DIW Berlin 1571, DIW Berlin, German Institute for Economic Research.
    22. Wimmer, Stefan G. & Sauer, Johannes, 2017. "The Economic Benefits of Farm Diversification: An Empirical Analysis of Economies of Scope Using the Dual Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258465, Agricultural and Applied Economics Association.

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    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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