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The Dynamics of Efficiency and Productivity Growth in U. S. Electric Utilities

Author

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  • Supawat Rungsuriyawiboon

    (Chiang Mai University)

  • Spyro Stefanou

    (Pennsylvania State University)

Abstract

This study recognizes explicitly the efficiency gain or loss as a source in explaining the growth. A theoretically consistent method to estimate the decomposition of dynamic total factor productivity growth (TFP) in the presence of inefficiency is developed which is constructed from an extension of the dynamic TFP growth, adjusted for deviations from the long-run equilibrium within an adjustment cost framework. The empirical case study is to U.S. electric utilities, which provides a measure to evaluate how different electric utilities participate in the deregulation of electricity generation. TFP grew by 2.26 percent per annum with growth attributed to the combined scale effects of 0.34 percent, the combined efficiency effects of 0.69 percent, and the technical change effect of 1.22 percent. The dynamic TFP grew by 1.66 percent per annum for electric utilities located within states with the deregulation plan and 3.30 percent per annum for those located outside. Electric utilities located within states with the deregulation plan increased the outputs by improving technical and input allocative efficiencies more than those located outside of states with deregulation plans.

Suggested Citation

  • Supawat Rungsuriyawiboon & Spyro Stefanou, 2004. "The Dynamics of Efficiency and Productivity Growth in U. S. Electric Utilities," Working Papers 0711, University of Crete, Department of Economics, revised 00 Aug 2006.
    • Handle: RePEc:crt:wpaper:0711
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    References listed on IDEAS

    as
    1. Timothy J. Considine, 2000. "Cost Structures for Fossil Fuel-Fired Electric Power Generation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 83-104.
    2. Kira R. Fabrizio & Nancy L. Rose & Catherine D. Wolfram, 2007. "Do Markets Reduce Costs? Assessing the Impact of Regulatory Restructuring on US Electric Generation Efficiency," American Economic Review, American Economic Association, vol. 97(4), pages 1250-1277, September.
    3. Karl Markiewicz & Nancy L. Rose & Catherine Wolfram, 2004. "Does Competition Reduce Costs? Assessing the Impact of Regulatory Restructuring on U.S. Electric Generation Efficiency," Working Papers EP67, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    4. Jeffrey I. Bernstein & Theofanis P. Mamuneas & Panos Pashardes, 2004. "Technical Efficiency and U.S. Manufacturing Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 402-412, February.
    5. Rungsuriyawiboon, Supawat & Stefanou, Spiro E., 2007. "Dynamic Efficiency Estimation: An Application to U.S. Electric Utilities," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 226-238, April.
    6. Paul W. Bauer, 1988. "Decomposing TFP growth in the presence of cost inefficiency, nonconstant returns to scale, and technological progress," Working Papers (Old Series) 8813, Federal Reserve Bank of Cleveland.
    7. Yir-Hueih Luh & Spiro E. Stefanou, 1991. "Productivity Growth in U.S. Agriculture under Dynamic Adjustment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1116-1125.
    8. Larry G. Epstein, 1981. "Duality Theory and Functional Forms for Dynamic Factor Demands," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(1), pages 81-95.
    9. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    10. Epstein, Larry G & Denny, Michael G S, 1983. "The Multivariate Flexible Accelerator Model: Its Empirical Restrictions and an Application to U.S. Manufacturing," Econometrica, Econometric Society, vol. 51(3), pages 647-674, May.
    11. McLaren, Keith R & Cooper, Russel J, 1980. "Intertemporal Duality: Application to the Theory of the Firm," Econometrica, Econometric Society, vol. 48(7), pages 1755-1762, November.
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    Cited by:

    1. Seifert, Stefan, 2015. "Productivity Growth and its Sources - A StoNED Metafrontier Analyis of the German Electricity Generating Sector," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112975, Verein für Socialpolitik / German Economic Association.
    2. Tsionas, Mike G. & Polemis, Michael L., 2019. "On the estimation of total factor productivity: A novel Bayesian non-parametric approach," European Journal of Operational Research, Elsevier, vol. 277(3), pages 886-902.
    3. Ang, Frederic & Kerstens, Pieter Jan, 2017. "The dynamic Luenberger-Hicks-Moorsteen productivity indicator with an application to dairy farms in South West England," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258636, Agricultural Economics Society.
    4. Oh, Dong-hyun & Lee, Yong-Gil, 2016. "Productivity decomposition and economies of scale of Korean fossil-fuel power generation companies: 2001–2012," Energy, Elsevier, vol. 100(C), pages 1-9.
    5. Yoonhwan Oh & Dong-hyun Oh & Jeong-Dong Lee, 2017. "A sequential global Malmquist productivity index: Productivity growth index for unbalanced panel data considering the progressive nature of technology," Empirical Economics, Springer, vol. 52(4), pages 1651-1674, June.
    6. Chen, Yi-Yi & Schmidt, Peter & Wang, Hung-Jen, 2014. "Consistent estimation of the fixed effects stochastic frontier model," Journal of Econometrics, Elsevier, vol. 181(2), pages 65-76.
    7. Kumbhakar, Subal C. & Tsionas, Mike G., 2020. "On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations," European Journal of Operational Research, Elsevier, vol. 287(2), pages 762-775.
    8. Caputo, Michael R. & Paris, Quirino, 2013. "An intertemporal microeconomic theory of disembodied and price-induced technical progress," Economic Modelling, Elsevier, vol. 33(C), pages 631-640.
    9. Stefan Seifert, 2015. "Measuring Productivity When Technologies Are Heterogeneous: A Semi-Parametric Approach for Electricity Generation," Discussion Papers of DIW Berlin 1526, DIW Berlin, German Institute for Economic Research.

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    More about this item

    Keywords

    productivity growth; adjustment costs; dynamic duality; inefficiency; decomposition; deregulation; e;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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