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Measurement of productive efficiency with frontier methods: A case study for wind farms

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  • Iglesias, Guillermo
  • Castellanos, Pablo
  • Seijas, Amparo

Abstract

In this paper, we measure the productive efficiency of a group of wind farms during the period 2001-2004 using the frontier methods Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA). Taking an extensive definition of the productive process of wind electricity as our starting point, we obtain results which allow us to identify, on the one hand, an essentially ex ante efficiency measure and, on the other hand, aspects of relevance for wind farm development companies (developers), technology suppliers and operators in terms of their economic impact. These results may also be of interest for regulators and other stakeholders in the sector. Furthermore, we discuss the implications of the simultaneous use of DEA and SFA methodologies.

Suggested Citation

  • Iglesias, Guillermo & Castellanos, Pablo & Seijas, Amparo, 2010. "Measurement of productive efficiency with frontier methods: A case study for wind farms," Energy Economics, Elsevier, vol. 32(5), pages 1199-1208, September.
    • Handle: RePEc:eee:eneeco:v:32:y:2010:i:5:p:1199-1208
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    1. Barros, Carlos Pestana, 2008. "Efficiency analysis of hydroelectric generating plants: A case study for Portugal," Energy Economics, Elsevier, vol. 30(1), pages 59-75, January.
    2. Ramos-Real, Francisco Javier, 2005. "Cost functions and the electric utility industry. A contribution to the debate on deregulation," Energy Policy, Elsevier, vol. 33(1), pages 69-87, January.
    3. Schmidt, Peter & Lovell, C. A. Knox, 1980. "Estimating stochastic production and cost frontiers when technical and allocative inefficiency are correlated," Journal of Econometrics, Elsevier, vol. 13(1), pages 83-100, May.
    4. Cowing, Thomas G, 1974. "Technical Change and Scale Economies in an Engineering Production Function: The Case of Steam Electric Power," Journal of Industrial Economics, Wiley Blackwell, vol. 23(2), pages 135-152, December.
    5. Henry Tulkens & Philippe Eeckaut, 2006. "Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 395-429, Springer.
    6. Ray,Subhash C., 2012. "Data Envelopment Analysis," Cambridge Books, Cambridge University Press, number 9781107405264.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    9. Seitz, Wesley D, 1971. "Productive Efficiency in the Steam-Electric Generating Industry," Journal of Political Economy, University of Chicago Press, vol. 79(4), pages 878-886, July-Aug..
    10. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    11. Krokoszinski, H.-J., 2003. "Efficiency and effectiveness of wind farms—keys to cost optimized operation and maintenance," Renewable Energy, Elsevier, vol. 28(14), pages 2165-2178.
    12. Førsund, Finn R. & Singh, Balbir & Jensen, Trond & Larsen, Cato, 2008. "Phasing in wind-power in Norway: Network congestion and crowding-out of hydropower," Energy Policy, Elsevier, vol. 36(9), pages 3514-3520, September.
    13. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    14. Yoram Barzel, 1964. "The Production Function and Technical Change in the Steam-Power Industry," Journal of Political Economy, University of Chicago Press, vol. 72(2), pages 133-133.
    15. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
    16. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    17. Ramanathan, R, 2001. "Comparative Risk Assessment of energy supply technologies: a Data Envelopment Analysis approach," Energy, Elsevier, vol. 26(2), pages 197-203.
    18. Zubi, Ghassan & Bernal-Agustín, José L. & Fandos Marín, Ana B., 2009. "Wind energy (30%) in the Spanish power mix--technically feasible and economically reasonable," Energy Policy, Elsevier, vol. 37(8), pages 3221-3226, August.
    19. Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
    20. John Ruggiero, 2004. "Data envelopment analysis with stochastic data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(9), pages 1008-1012, September.
    21. Neij, Lena, 2008. "Cost development of future technologies for power generation--A study based on experience curves and complementary bottom-up assessments," Energy Policy, Elsevier, vol. 36(6), pages 2200-2211, June.
    22. Pollitt, Michael G, 1996. "Ownership and Efficiency in Nuclear Power Production," Oxford Economic Papers, Oxford University Press, vol. 48(2), pages 342-360, April.
    23. Park, Soo-Uk & Lesourd, Jean-Baptiste, 2000. "The efficiency of conventional fuel power plants in South Korea: A comparison of parametric and non-parametric approaches," International Journal of Production Economics, Elsevier, vol. 63(1), pages 59-67, January.
    24. Ali Emami Meibodi, 1998. "Efficiency Considerations in the Electricity Supply Industry; The Case of Iran," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 95, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    25. Schmidt, Peter & Knox Lovell, C. A., 1979. "Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers," Journal of Econometrics, Elsevier, vol. 9(3), pages 343-366, February.
    26. Adil Najam & Cutler Cleveland, 2003. "Energy and Sustainable Development at Global Environmental Summits: An Evolving Agenda," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 5(1), pages 117-138, March.
    27. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    28. Barros, Carlos P. & Peypoch, Nicolas, 2007. "The determinants of cost efficiency of hydroelectric generating plants: A random frontier approach," Energy Policy, Elsevier, vol. 35(9), pages 4463-4470, September.
    29. Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
    30. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    31. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    32. Barros, Carlos Pestana & Peypoch, Nicolas, 2008. "Technical efficiency of thermoelectric power plants," Energy Economics, Elsevier, vol. 30(6), pages 3118-3127, November.
    33. Arocena, Pablo, 2008. "Cost and quality gains from diversification and vertical integration in the electricity industry: A DEA approach," Energy Economics, Elsevier, vol. 30(1), pages 39-58, January.
    34. Fare, Rolf & Grosskopf, Shawna & Logan, James, 1983. "The relative efficiency of Illinois electric utilities," Resources and Energy, Elsevier, vol. 5(4), pages 349-367, December.
    35. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    36. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, September.
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    Keywords

    Efficiency Wind farm DEA SFA;

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