Cost efficiency of Japanese steam power generation companies : a Bayesian comparison of random and fixed frontier models
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[1] Toshiyuki Sueyoshi,et al. Slack-adjusted DEA for time series analysis: Performance measurement of Japanese electric power generation industry in 1984-1993 , 2001, Eur. J. Oper. Res..
[2] C. Barros,et al. Relevance or irrelevance of capital structure , 2009 .
[3] Pablo Arocena,et al. Generating efficiency: economic and environmental regulation of public and private electricity generators in Spain , 2002 .
[4] B. W. Ang,et al. Decomposition of aggregate CO2 emissions: A production-theoretical approach , 2008 .
[5] Christopher R. Knittel. Alternative Regulatory Methods and Firm Efficiency: Stochastic Frontier Evidence from the U.S. Electricity Industry , 2002, Review of Economics and Statistics.
[6] M. Farsi,et al. An analysis of cost efficiency in Swiss multi-utilities , 2008 .
[7] M. Abbott,et al. The productivity and efficiency of the Australian electricity supply industry , 2006 .
[9] Carlos Pestana Barros,et al. Technical efficiency of thermoelectric power plants , 2008 .
[10] Bradley P. Carlin,et al. Bayesian measures of model complexity and fit , 2002 .
[11] Shunsuke Managi,et al. Regulatory reforms and productivity : an empirical analysis of the Japanese electricity industry , 2008 .
[12] P. W. Wilson,et al. Estimation and inference in two-stage, semi-parametric models of production processes , 2007 .
[13] Sebastián Lozano,et al. Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions , 2008 .
[14] Ramazan Sarı,et al. Are global warming and economic growth compatible? Evidence from five OPEC countries? , 2009 .
[15] Pablo Álvarez de Toledo,et al. An analysis of the Spanish electrical utility industry: Economies of scale, technological progress and efficiency , 2009 .
[16] Surendra Singh,et al. Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique , 2009 .
[17] Michael G. Pollitt,et al. Ownership and Efficiency in Nuclear Power Production , 1996 .
[18] Valentina Bosetti,et al. Data Envelopment Analysis of different climate policy scenarios , 2009 .
[19] M. Goto,et al. Measurement of Dynamic Efficiency in Production: An Application of Data Envelopment Analysis to Japanese Electric Utilities , 2003 .
[20] Christian A. Ruzzier,et al. The Case for International Coordination of Electricity Regulation: Evidence from the Measurement of Efficiency in South America , 2002 .
[21] C. Barros. Efficiency analysis of hydroelectric generating plants : A case study for Portugal , 2008 .
[22] Gary Koop,et al. Bayesian efficiency analysis through individual effects: Hospital cost frontiers , 1997 .
[23] W. Greene. Fixed and Random Effects in Stochastic Frontier Models , 2002 .
[24] Toshiyuki Sueyoshi,et al. Tariff structure of Japanese electric power companies: An empirical analysis using DEA , 1999, Eur. J. Oper. Res..
[25] Mariano Luque,et al. Multiple objectives decomposition-coordination methods for hierarchical organizations , 2001, Eur. J. Oper. Res..
[26] Mika Goto,et al. Technical efficiency and impacts of deregulation: An analysis of three functions in U.S. electric power utilities during the period from 1992 through 2000 , 2008 .
[27] J. Rączka,et al. Explaining the performance of heat plants in Poland , 2001 .
[28] Rodrigo Taborda,et al. Perfomance and Efficiency in Colombia's Power Distribution Sistem: Effects of the 1994 Reform , 2006 .
[29] Johannes Reichl,et al. The baseline in bottom-up energy efficiency and saving calculations – A concept for its formalisation and a discussion of relevant options ☆ , 2011 .
[30] Timothy Coelli,et al. An Introduction to Efficiency and Productivity Analysis , 1997 .
[31] Mariana Iootty,et al. The evolution and main determinants of productivity in Brazilian electricity distribution 1998-2005: an empirical analysis , 2009 .
[32] M. Farsi,et al. Cost efficiency in the Swiss gas distribution sector , 2007 .
[33] M. Steel,et al. Stochastic frontier models: a bayesian perspective , 1994 .
[34] Efthymios G. Tsionas,et al. Stochastic Frontier Models with Random Coefficients , 2002 .
[35] Tooraj Jamasb,et al. Electricity Distribution in the UK and Japan: A Comparative Efficiency Analysis 1985-1998 , 2005 .
[36] Pekka Ahtila,et al. Implications of process energy efficiency improvements for primary energy consumption and CO2 emissions at the national level , 2010 .
[37] J. McInnes,et al. Corporate management of productivity—An empirical study , 1984 .
[38] Dek Terrell,et al. Measuring Potential Efficiency Gains from Deregulation of Electricity Generation: A Bayesian Approach , 2001, Review of Economics and Statistics.
[39] M. Pollitt,et al. Benchmarking and regulation: international electricity experience , 2000 .
[40] N. Caverley. Civil Service resiliency and coping , 2005 .
[41] Paul H. L. Nillesen,et al. Strategic behaviour under regulatory benchmarking , 2004 .
[42] Di Jin,et al. Stochastic frontier analysis of total factor productivity in the offshore oil and gas industry , 2006 .
[43] Tooraj Jamasb,et al. International benchmarking and regulation: an application to European electricity distribution utilities , 2003 .
[44] M. Farsi,et al. Regulation and Measuring Cost-Efficiency with Panel Data Models: Application to Electricity Distribution Utilities , 2004 .
[45] Alexander Vaninsky,et al. Efficiency of electric power generation in the United States: Analysis and forecast based on data envelopment analysis , 2006 .
[46] L. Hiebert,et al. The Determinants of the Cost Efficiency of Electric Generating Plants: A Stochastic Frontier Approach , 2002 .