IDEAS home Printed from https://ideas.repec.org/a/kap/jproda/v30y2008i3p177-190.html
   My bibliography  Save this article

The dynamics of efficiency and productivity growth in U.S. electric utilities

Author

Listed:
  • Supawat Rungsuriyawiboon
  • Spiro Stefanou

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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Supawat Rungsuriyawiboon & Spiro Stefanou, 2008. "The dynamics of efficiency and productivity growth in U.S. electric utilities," Journal of Productivity Analysis, Springer, vol. 30(3), pages 177-190, December.
  • Handle: RePEc:kap:jproda:v:30:y:2008:i:3:p:177-190
    DOI: 10.1007/s11123-008-0107-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11123-008-0107-5
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11123-008-0107-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Nancy L. Rose & Kira Markiewicz & Catherine Wolfram, 2004. "Does Competition Reduce Costs? Assessing the Impact of Regulatory Restructuring on U.S. Electric Generation Efficiency," Working Papers 0418, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. Ang, Frederic & Kerstens, Pieter Jan, 2017. "The Dynamic Luenberger-Hicks-Moorsteen Productivity Indicator With An Application To Dairy Farms In South West England," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260831, European Association of Agricultural Economists.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    9. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rungsuriyawiboon, Supawat & Zhang, Yanjie, 2018. "Examining the economic performance of Chinese farms: A dynamic efficiency and adjustment cost approach," Economic Analysis and Policy, Elsevier, vol. 57(C), pages 74-87.
    2. 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.
    3. Supawat Rungsuriyawiboon, 2004. "A Dynamic Approach to Estimate the Efficiency of U.S. Electric Utilities," Econometric Society 2004 Australasian Meetings 91, Econometric Society.
    4. Saeideh Fallah-Fini & Konstantinos Triantis & Andrew Johnson, 2014. "Reviewing the literature on non-parametric dynamic efficiency measurement: state-of-the-art," Journal of Productivity Analysis, Springer, vol. 41(1), pages 51-67, February.
    5. Matteo Manera, 2006. "Modelling factor demands with SEM and VAR: an empirical comparison," Journal of Productivity Analysis, Springer, vol. 26(2), pages 121-146, October.
    6. Gardebroek, Cornelis & Oude Lansink, Alfons G.J.M., 2008. "Dynamic Microeconometric Approaches To Analysing Agricultural Policy," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6592, European Association of Agricultural Economists.
    7. Krasachat, W. & Coelli, T. J., 1995. "Dynamics of Agricultural Production on Thailand," 1995 Conference (39th), February 14-16, 1995, Perth, Australia 170898, Australian Agricultural and Resource Economics Society.
    8. Huettel, Silke & Narayana, Rashmi & Odening, Martin, 2011. "Measuring dynamic efficiency under uncertainty," Structural Change in Agriculture/Strukturwandel im Agrarsektor (SiAg) Working Papers 129062, Humboldt University Berlin, Department of Agricultural Economics.
    9. Bernstein, David H. & Parmeter, Christopher F., 2019. "Returns to scale in electricity generation: Replicated and revisited," Energy Economics, Elsevier, vol. 82(C), pages 4-15.
    10. Buhr, Brian L. & Kim, Hanho, 1997. "Dynamic adjustment in the US beef market with imports," Agricultural Economics, Blackwell, vol. 17(1), pages 21-34, October.
    11. Stefanou, Spiro E., 2009. "A Dynamic Characterization of Efficiency," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 10(1), pages 1-16.
    12. Pietola, Kyosti S. & Myers, Robert J., 1997. "A Dynamic Dual Model of Asymmetric Investment Under Uncertainty," Staff Paper Series 201222, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    13. Alan De Brauw & Jikun Huang & Scott Rozelle, 2004. "The sequencing of reform policies in China's agricultural transition," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 12(3), pages 427-465, September.
    14. Supawat Rungsuriyawiboon & Heinrich Hockmann, 2015. "Adjustment costs and efficiency in Polish agriculture: a dynamic efficiency approach," Journal of Productivity Analysis, Springer, vol. 44(1), pages 51-68, August.
    15. Pierre Ouellette & Stéphane Vigeant, 2003. "Technological choices and regulation: the case of the Canadian manufacturing sectors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(1), pages 88-125, March.
    16. Caputo, Michael R., 2003. "The comparative dynamics of closed-loop controls for discounted infinite horizon optimal control problems," Journal of Economic Dynamics and Control, Elsevier, vol. 27(8), pages 1335-1365, June.
    17. Eswaramoorthy, K., 1991. "U.S. livestock production and factor demand: a multiproduct dynamic dual approach," ISU General Staff Papers 1991010108000010523, Iowa State University, Department of Economics.
    18. Pierre Lasserre & Pierre Ouellette, 1999. "Dynamic Factor Demands and Technology Measurement under Arbitrary Expectations," Journal of Productivity Analysis, Springer, vol. 11(3), pages 219-241, June.
    19. Frank W. Agbola & Stephen R. Harrison, 2005. "Empirical investigation of investment behaviour in Australia's pastoral region," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(1), pages 47-62, March.
    20. Supawat Rungsuriyawiboon & Chris O'Donnell, 2004. "Curvature-Constrained Estimates of Technical Efficiency and Returns to Scale for U.S. Electric Utilities," CEPA Working Papers Series WP072004, School of Economics, University of Queensland, Australia.

    More about this item

    Keywords

    Productivity growth; Adjustment costs; Dynamic duality; Inefficiency; Decomposition; Deregulation; Electricity; D24; D92; L94;
    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jproda:v:30:y:2008:i:3:p:177-190. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.