A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies
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DOI: 10.1016/j.eneco.2014.12.020
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- Shiu, Alice & Lam, Pun-Lee, 2004. "Electricity consumption and economic growth in China," Energy Policy, Elsevier, vol. 32(1), pages 47-54, January.
- Ohler, Adrienne & Fetters, Ian, 2014. "The causal relationship between renewable electricity generation and GDP growth: A study of energy sources," Energy Economics, Elsevier, vol. 43(C), pages 125-139.
- Yeoh, Boon-Siew & Rajaraman, Rajesh, 2004. "Electricity in China: The Latest Reforms," The Electricity Journal, Elsevier, vol. 17(3), pages 60-69, April.
- 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.
- Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997.
"Bayesian efficiency analysis through individual effects: Hospital cost frontiers,"
Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
- KOOP , Gary & OSIEWALSKI , Jacek & STEEL , Mark, 1995. "Bayesian Efficiency Analysis through Individual Effects : Hospital Cost Frontiers," LIDAM Discussion Papers CORE 1995036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Koop, G. & Osiewalski, J. & Steel, M. F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," LIDAM Reprints CORE 1245, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Huang, Yi-Ju & Chen, Ku-Hsieh & Yang, Chih-Hai, 2010. "Cost efficiency and optimal scale of electricity distribution firms in Taiwan: An application of metafrontier analysis," Energy Economics, Elsevier, vol. 32(1), pages 15-23, January.
- Yang, Hongliang & Pollitt, Michael, 2009.
"Incorporating both undesirable outputs and uncontrollable variables into DEA: The performance of Chinese coal-fired power plants,"
European Journal of Operational Research, Elsevier, vol. 197(3), pages 1095-1105, September.
- Yang, H. & Pollitt, M., 2007. "Incorporating Both Undesirable Outputs and Uncontrollable Variables into DEA: the Performance of Chinese Coal-Fired Power Plants," Cambridge Working Papers in Economics 0733, Faculty of Economics, University of Cambridge.
- Hongliang Yang & Michael Pollitt, 2007. "Incorporating both Undesirable Outputs and Uncontrollable Variables into DEA: the performance of Chinese Coal-Fired Power Plants," Working Papers EPRG 0712, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Simar, Léopold & Wilson, Paul W., 2013.
"Estimation and Inference in Nonparametric Frontier Models: Recent Developments and Perspectives,"
Foundations and Trends(R) in Econometrics, now publishers, vol. 5(3–4), pages 183-337, June.
- Simar, Leopold & Wilson, Paul, 2013. "Estimation and Inference in Nonparametric Frontier Models: Recent Developments and Perspectives," LIDAM Reprints ISBA 2013023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Mehdi Farsi & Massimo Filippini, 2004.
"Regulation and Measuring Cost-Efficiency with Panel Data Models: Application to Electricity Distribution Utilities,"
Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 25(1), pages 1-19, August.
- Mehdi Farsi & Massimo Filippini, 2003. "Regulation and Measuring Cost Efficiency with Panel Data Models: Application to Electricity Distribution Utilities," CEPE Working paper series 03-19, CEPE Center for Energy Policy and Economics, ETH Zurich.
- Carlos Martins-Filho & Feng Yao, 2015. "Semiparametric Stochastic Frontier Estimation via Profile Likelihood," Econometric Reviews, Taylor & Francis Journals, vol. 34(4), pages 413-451, April.
- Kopsakangas-Savolainen, Maria & Svento, Rauli, 2011. "Observed and unobserved heterogeneity in stochastic frontier models: An application to the electricity distribution industry," Energy Economics, Elsevier, vol. 33(2), pages 304-310, March.
- Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
- Willam Greene, 2005.
"Fixed and Random Effects in Stochastic Frontier Models,"
Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
- William Greene, 2002. "Fixed and Random Effects in Stochastic Frontier Models," Working Papers 02-16, New York University, Leonard N. Stern School of Business, Department of Economics.
- Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013.
"Stochastic frontier analysis using Stata,"
Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
- Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2012. "Stochastic frontier analysis using Stata," CEIS Research Paper 251, Tor Vergata University, CEIS, revised 13 Sep 2012.
- Smith, Richard J & Blundell, Richard W, 1986.
"An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply,"
Econometrica, Econometric Society, vol. 54(3), pages 679-685, May.
- Richard Smith & Richard Blundell, 1983. "An Exogeneity Test for the Simultaneous Equation Tobit Model With an Application to Labour Supply," Working Paper 546, Economics Department, Queen's University.
- Pestana Barros, Carlos & Sequeira Antunes, Olinda, 2011. "Performance assessment of Portuguese wind farms: Ownership and managerial efficiency," Energy Policy, Elsevier, vol. 39(6), pages 3055-3063, June.
- Ang, B.W. & Mu, A.R. & Zhou, P., 2010. "Accounting frameworks for tracking energy efficiency trends," Energy Economics, Elsevier, vol. 32(5), pages 1209-1219, September.
- Efthymios G. Tsionas, 2002.
"Stochastic frontier models with random coefficients,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
- Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," Athens University of Economics and Business 130, Athens University of Economics and Business, Department of International and European Economic Studies.
- Kuosmanen, Timo & Saastamoinen, Antti & Sipiläinen, Timo, 2013. "What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods," Energy Policy, Elsevier, vol. 61(C), pages 740-750.
- Hausman, Jerry, 2015.
"Specification tests in econometrics,"
Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
- Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, vol. 46(6), pages 1251-1271, November.
- J. A. Hausman, 1976. "Specification Tests in Econometrics," Working papers 185, Massachusetts Institute of Technology (MIT), Department of Economics.
- Vaninsky, Alexander, 2006. "Efficiency of electric power generation in the United States: Analysis and forecast based on data envelopment analysis," Energy Economics, Elsevier, vol. 28(3), pages 326-338, May.
- Chai, Jian & Guo, Ju-E & Wang, Shou-Yang & Lai, Kin Keung, 2009. "Why does energy intensity fluctuate in China?," Energy Policy, Elsevier, vol. 37(12), pages 5717-5731, December.
- Elliott, Robert J.R. & Sun, Puyang & Chen, Siyang, 2013. "Energy intensity and foreign direct investment: A Chinese city-level study," Energy Economics, Elsevier, vol. 40(C), pages 484-494.
- Tran, Kien C. & Tsionas, Efthymios G., 2013. "GMM estimation of stochastic frontier model with endogenous regressors," Economics Letters, Elsevier, vol. 118(1), pages 233-236.
- Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.
- Zhou, P. & Ang, B.W., 2008. "Decomposition of aggregate CO2 emissions: A production-theoretical approach," Energy Economics, Elsevier, vol. 30(3), pages 1054-1067, May.
- Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
- Richard S.J. Tol, 2020. "Climate and development," Video Library 2081, Department of Economics, University of Sussex Business School.
- Pollitt, Michael G, 1996.
"Ownership and Efficiency in Nuclear Power Production,"
Oxford Economic Papers, Oxford University Press, vol. 48(2), pages 342-360, April.
- Pollitt, M.G., 1995. "Ownership and Efficiency in Nuclear Power Production," Cambridge Working Papers in Economics 9518, Faculty of Economics, University of Cambridge.
- Toru Hattori, 2002. "Relative Performance of U.S. and Japanese Electricity Distribution: An Application of Stochastic Frontier Analysis," Journal of Productivity Analysis, Springer, vol. 18(3), pages 269-284, November.
- Managi, Shunsuke & Opaluch, James J. & Jin, Di & Grigalunas, Thomas A., 2006. "Stochastic frontier analysis of total factor productivity in the offshore oil and gas industry," Ecological Economics, Elsevier, vol. 60(1), pages 204-215, November.
- Du, Limin & He, Yanan & Yan, Jianye, 2013. "The effects of electricity reforms on productivity and efficiency of China's fossil-fired power plants: An empirical analysis," Energy Economics, Elsevier, vol. 40(C), pages 804-812.
- Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
- Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
- Kuosmanen, Timo, 2012. "Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model," Energy Economics, Elsevier, vol. 34(6), pages 2189-2199.
- Sueyoshi, Toshiyuki & Goto, Mika, 2011. "DEA approach for unified efficiency measurement: Assessment of Japanese fossil fuel power generation," Energy Economics, Elsevier, vol. 33(2), pages 292-303, March.
- Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
- Barros, Carlos Pestana & Chen, Zhongfei & Managi, Shunsuke & Antunes, Olinda Sequeira, 2013. "Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model," Energy Economics, Elsevier, vol. 36(C), pages 511-517.
- Andrew N. Kleit & Dek Terrell, 2001. "Measuring Potential Efficiency Gains From Deregulation Of Electricity Generation: A Bayesian Approach," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 523-530, August.
- Ma, Chunbo & He, Lining, 2008. "From state monopoly to renewable portfolio: Restructuring China's electric utility," Energy Policy, Elsevier, vol. 36(5), pages 1697-1711, May.
- Ang, B.W., 2006. "Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index," Energy Policy, Elsevier, vol. 34(5), pages 574-582, March.
- Kutlu, Levent, 2010. "Battese-coelli estimator with endogenous regressors," Economics Letters, Elsevier, vol. 109(2), pages 79-81, November.
- Yang, Ming & Yu, Xin, 1996. "China's power management," Energy Policy, Elsevier, vol. 24(8), pages 735-757, August.
- Chu Wei & Jinlan Ni & Manhong Shen, 2009. "Empirical Analysis of Provincial Energy Efficiency in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 17(5), pages 88-103, September.
- Jay B. Barney, 1986. "Strategic Factor Markets: Expectations, Luck, and Business Strategy," Management Science, INFORMS, vol. 32(10), pages 1231-1241, October.
- Brandt, Loren & Zhu, Xiaodong, 2010.
"Accounting for China's Growth,"
IZA Discussion Papers
4764, Institute of Labor Economics (IZA).
- Loren Brandt & Xiaodong Zhu, 2010. "Accounting for China's Growth," Working Papers tecipa-394, University of Toronto, Department of Economics.
- Xu, Shaofeng & Chen, Wenying, 2006. "The reform of electricity power sector in the PR of China," Energy Policy, Elsevier, vol. 34(16), pages 2455-2465, November.
- Briec, Walter & Peypoch, Nicolas & Ratsimbanierana, Hermann, 2011. "Productivity growth and biased technological change in hydroelectric dams," Energy Economics, Elsevier, vol. 33(5), pages 853-858, September.
- Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
- World Bank & P.R.C. Development Research Center of the State Council, 2012. "China 2030 : Building a Modern, Harmonious, and Creative High-Income Society [pre-publication version]," World Bank Publications - Books, The World Bank Group, number 6057.
- Jim Griffin & Mark Steel, 2007.
"Bayesian stochastic frontier analysis using WinBUGS,"
Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
- Jim Griffin & Mark Steel, 2005. "Bayesian Stochastic Frontier Analysis Using WinBUGS," Econometrics 0509004, University Library of Munich, Germany.
- David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
- Nakano, Makiko & Managi, Shunsuke, 2008. "Regulatory reforms and productivity: An empirical analysis of the Japanese electricity industry," Energy Policy, Elsevier, vol. 36(1), pages 201-209, January.
- Shi, Guang-Ming & Bi, Jun & Wang, Jin-Nan, 2010. "Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs," Energy Policy, Elsevier, vol. 38(10), pages 6172-6179, October.
- See, Kok Fong & Coelli, Tim, 2012. "An analysis of factors that influence the technical efficiency of Malaysian thermal power plants," Energy Economics, Elsevier, vol. 34(3), pages 677-685.
- 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.
- Dufour, Jean-Marie & Ghysels, Eric, 1996. "Editors' introduction recent developments in the econometrics of structural change," Journal of Econometrics, Elsevier, vol. 70(1), pages 1-8, January.
- Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
- Alvarez, Roberto & Crespi, Gustavo, 2003. "Determinants of Technical Efficiency in Small Firms," Small Business Economics, Springer, vol. 20(3), pages 233-244, May.
- Barros, Carlos Pestana & Managi, Shunsuke, 2009. "Regulation, pollution and heterogeneity in Japanese steam power generation companies," Energy Policy, Elsevier, vol. 37(8), pages 3109-3114, August.
- Growitsch, Christian & Jamasb, Tooraj & Wetzel, Heike, 2012.
"Efficiency effects of observed and unobserved heterogeneity: Evidence from Norwegian electricity distribution networks,"
Energy Economics, Elsevier, vol. 34(2), pages 542-548.
- Growitsch, C. & Jamasb, T. & Wetzel, H., 2010. "Efficiency Effects of Quality of Service and Environmental Factors: Experience from Norwegian Electricity Distribution," Cambridge Working Papers in Economics 1050, Faculty of Economics, University of Cambridge.
- Growitsch, Christian & Jamasb, Tooraj & Wetzel, Heike, 2010. "Efficiency effects of quality of service and environmental factors: experience from Norwegian electricity distribution," EWI Working Papers 2010-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
- Christian Growitsch & Tooraj Jamasb & Heike Wetzel, 2010. "Efficiency Effects of Quality of Service and Environmental Factors: Experience from Norwegian Electricity Distribution," Working Papers EPRG 1025, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
- Ryan Mutter & William Greene & William Spector & Michael Rosko & Dana Mukamel, 2013. "Investigating the impact of endogeneity on inefficiency estimates in the application of stochastic frontier analysis to nursing homes," Journal of Productivity Analysis, Springer, vol. 39(2), pages 101-110, April.
- Barros, Carlos Pestana & Peypoch, Nicolas, 2008. "Technical efficiency of thermoelectric power plants," Energy Economics, Elsevier, vol. 30(6), pages 3118-3127, November.
- Ngan, H.W., 2010. "Electricity regulation and electricity market reforms in China," Energy Policy, Elsevier, vol. 38(5), pages 2142-2148, May.
- Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
- Bai, Chong-en & Li, David D. & Wang, Yijiang, 1997. "Enterprise Productivity and Efficiency: When Is Up Really Down?," Journal of Comparative Economics, Elsevier, vol. 24(3), pages 265-280, June.
- Lam, Pun-Lee & Shiu, Alice, 2001. "A data envelopment analysis of the efficiency of China's thermal power generation," Utilities Policy, Elsevier, vol. 10(2), pages 75-83, June.
- Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
- Pankaj Ghemawat & Tarun Khanna, 1998. "The Nature of Diversified Business Groups: A Research Design and Two Case Studies," Journal of Industrial Economics, Wiley Blackwell, vol. 46(1), pages 35-61, March.
- Gorecki, Paul K. & Lyons, Sean & Tol, Richard S.J., 2010. "EU climate change policy 2013-2020: Using the Clean Development Mechanism more effectively in the non-EU-ETS Sector," Energy Policy, Elsevier, vol. 38(11), pages 7466-7475, November.
- 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.
- Lin, Rung-Chuan & Sir, Mustafa Y. & Pasupathy, Kalyan S., 2013. "Multi-objective simulation optimization using data envelopment analysis and genetic algorithm: Specific application to determining optimal resource levels in surgical services," Omega, Elsevier, vol. 41(5), pages 881-892.
- Wang, Qiang & Chen, Xi, 2012. "China's electricity market-oriented reform: From an absolute to a relative monopoly," Energy Policy, Elsevier, vol. 51(C), pages 143-148.
- Sarıca, Kemal & Or, Ilhan, 2007. "Efficiency assessment of Turkish power plants using data envelopment analysis," Energy, Elsevier, vol. 32(8), pages 1484-1499.
- Christopher R. Knittel, 2002. "Alternative Regulatory Methods And Firm Efficiency: Stochastic Frontier Evidence From The U.S. Electricity Industry," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 530-540, August.
- 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.
- Zhou, Nan & Levine, Mark D. & Price, Lynn, 2010. "Overview of current energy-efficiency policies in China," Energy Policy, Elsevier, vol. 38(11), pages 6439-6452, November.
- Mekaroonreung, Maethee & Johnson, Andrew L., 2012. "Estimating the shadow prices of SO2 and NOx for U.S. coal power plants: A convex nonparametric least squares approach," Energy Economics, Elsevier, vol. 34(3), pages 723-732.
- Pun-Lee Lam & Alice Shiu, 2004. "Efficiency and Productivity of China's Thermal Power Generation," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 24(1), pages 73-93, February.
- Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.
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Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370,
Springer.
- Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
- Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2017. "Stochastic Frontier Analysis: Foundations and Advances," Working Papers 2017-10, University of Miami, Department of Economics.
- Subal C. Kumbhakar & Christopher F. Parameter & Valentin Zelenyuk, 2018. "Stochastic Frontier Analysis: Foundations and Advances," CEPA Working Papers Series WP022018, School of Economics, University of Queensland, Australia.
- Gharneh, Naser Shams & Nabavieh, Alireza & Gholamiangonabadi, Davoud & Alimoradi, Mohammad, 2014. "Productivity change and its determinants: Application of the Malmquist index with bootstrapping in Iranian steam power plants," Utilities Policy, Elsevier, vol. 31(C), pages 114-120.
- Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022.
"Cost, Revenue, and Profit Function Estimates,"
Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679,
Springer.
- Kutlu, Levent & Liu, Shasha & Sickles, Robin C., 2018. "Cost, Revenue, and Profit Function Estimates," Working Papers 18-006, Rice University, Department of Economics.
- Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
- Shrivastava, Naveen & Sharma, Seema & Chauhan, Kavita, 2012. "Efficiency assessment and benchmarking of thermal power plants in India," Energy Policy, Elsevier, vol. 40(C), pages 159-176.
- 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.
- Du, Minzhe & Wang, Bing & Zhang, Ning, 2018. "National research funding and energy efficiency: Evidence from the National Science Foundation of China," Energy Policy, Elsevier, vol. 120(C), pages 335-346.
- Liu, Xiao-Yan & Pollitt, Michael G. & Xie, Bai-Chen & Liu, Li-Qiu, 2019.
"Does environmental heterogeneity affect the productive efficiency of grid utilities in China?,"
Energy Economics, Elsevier, vol. 83(C), pages 333-344.
- Liu, X-Y. & Liu, L-Q. & Xie, B-C. & Pollitt, M., 2018. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Cambridge Working Papers in Economics 1838, Faculty of Economics, University of Cambridge.
- Xiao-Yan Liu & Li-Qiu Liu & Bai-Chen Xie & Michael G. Pollitt, 2018. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Working Papers EPRG 1820, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Wei, Chu & Löschel, Andreas & Liu, Bing, 2015.
"Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: A non-parametric analysis,"
Energy Economics, Elsevier, vol. 49(C), pages 33-43.
- Wei, Chu & Löschel, Andreas & Liu, Bing, 2015. "Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: A non-parametric analysis," CAWM Discussion Papers 78, University of Münster, Münster Center for Economic Policy (MEP).
More about this item
Keywords
China; Fossil-fuel electricity generation companies; Stochastic frontier analysis; Efficiency;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
- O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
- O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
- Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
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