References
- Amadeus. 2015. Information on companies across Europe. Available at: https://amadeus.bvdinfo.com/.
- Bagdadioglu, N., Waddams Price, C. M., and Weyman-Jones, T. G. 1996. Efficiency and ownership in electricity distribution: A non-parametric model of the Turkish experience. Energy Econ. 18:1–23.
- Battese, G. E., and Coelli, T. J. 1988. Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. J. Econ. 38:387–399.
- Battese, G. E., and Coelli, T. J. 1995. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Econ. 20:325–332.
- Chang, D. S., Chen, Y. T., and Chen, W. D. 2009. The exogenous factors affecting the cost efficiency of power generation. Energy Policy 37:5540–5545.
- Christensen, L. R., Jorgenson, D. W., and Lau, L. J. 1973. Transcendental logarithmic production frontiers. Rev. Econ. Stat. 55:28–45.
- Cobb, C. W., and Douglas, P. H. 1928. A theory of production on JSTOR. Am. Econ. Rev. 18:139–165.
- Coelli, T. J. 1996. A guide to frontier version 4.1: A computer program for stochastic frontier production and cost function estimation. CEPA Working Papers. Vol. 7. Armidale: Centre for Efficiency and Productivity Analysis (CEPA). Department of Econometrics. University of New England.
- Delmas, M., and Tokat, Y. 2005. Deregulation, governance structures, and efficiency: The U.S. electric utility sector. Strategic Manage. J. 26:441–460.
- Goto, M., and Tsutsui, M. 2008. Technical efficiency and impacts of deregulation: An analysis of three functions in U.S. electric power utilities during the period from 1992 through 2000. Energy Econ. 30:15–38.
- Greene, W. H. 2008. The Measurement of Productive Efficiency and Productive Growth. New York: Oxford University Press.
- Heshmati, A., Lee, S., and Hwang, W. 2012. Performance analysis of power plants under heterogeneous technologies with meta frontier framework. Int. J. Econ. Manage. Eng. 2:5–14.
- IEA. 2015. International Energy Agency. Available at: www.iea.org/statistics/statisticssearch/.
- Kasap, Y., and Kiris, S. 2013. An AHP-DEA approach for evaluating electricity generation firms of OECD countries. Energy Sour., Part B: Econ., Planning, Policy 8:200–208.
- Knittel, C. R. 2002. Alternative regulatory methods and firm efficiency: Stochastic frontier evidence from the U.S. electricity industry. Rev. Econ. Stat. 84:530–540.
- Kodde, D. A., and Palm, F. C. 1986. Wald criteria for jointly testing equality and inequality restrictions. Econometrica 54:1243–1248.
- Liu, C. H., Lin, S. J., and Lewis, C. 2010. Evaluation of thermal power plant operational performance in Taiwan by data envelopment analysis. Energy Policy 38:1049–1058.
- Minetur. 2013. Participación de La Energía Nucleoeléctrica En La Generación de Electricidad En El Mundo - M° de Industria, Energía Y Turismo. Available at: www.minetur.gob.es/energia/nuclear/Centrales/Mundo/Paginas/participacion.aspx.
- The World Bank. 2015. Data |The World Bank. Available at: http://data.worldbank.org/.
- Wang, H., and Schmidt, P. 2002. One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels. J. Productivity Anal. 18: 129–44.