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A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model

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  • Jin Zhu

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Dequn Zhou

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Zhengning Pu

    (School of Economics and Management, Southeast University, Nanjing 211102, China)

  • Huaping Sun

    (Institute of Industrial Economics, Jiangsu University, Zhenjiang 212013, China
    School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

With the deterioration caused by environmental pollution, studies on the low-carbon economy have received more attention. As far as we know, electricity production accounts for a large portion of total carbon emissions. Therefore, based on panel data from 2005 to 2014, we used the non-radial directional distance function model based on the data envelope analysis (DEA) to evaluate the static electricity product efficiency of various provinces in China. Further, the global Malmquist index was introduced to analyze the main factors. The relationship between the environmental policy stringency and the regional power production efficiency was also investigated. Static results show that China’s regional power production efficiency has a significant difference between coastal developed and inland areas. Dynamic evaluation further proved that the difference is mainly due to technological change. Finally, regression results show that technological change is the only factor directly affecting regional environmental policy stringency.

Suggested Citation

  • Jin Zhu & Dequn Zhou & Zhengning Pu & Huaping Sun, 2019. "A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model," Sustainability, MDPI, vol. 11(3), pages 1-18, January.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:659-:d:201139
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    as
    1. Becker, Randy A., 2005. "Air pollution abatement costs under the Clean Air Act: evidence from the PACE survey," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 144-169, July.
    2. Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
    3. Qing Yang & Xingzi Wan & Huimin Ma, 2015. "Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    4. Chai, Qimin & Zhang, Xiliang, 2010. "Technologies and policies for the transition to a sustainable energy system in china," Energy, Elsevier, vol. 35(10), pages 3995-4002.
    5. Hualin Xie & Wei Wang, 2015. "Exploring the Spatial-Temporal Disparities of Urban Land Use Economic Efficiency in China and Its Influencing Factors under Environmental Constraints Based on a Sequential Slacks-Based Model," Sustainability, MDPI, vol. 7(8), pages 1-20, July.
    6. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    7. Pollitt, Michael G, 1996. "Ownership and Efficiency in Nuclear Power Production," Oxford Economic Papers, Oxford University Press, vol. 48(2), pages 342-360, April.
    8. Bernard, Jean-Thomas & Cote, Bruno, 2005. "The measurement of the energy intensity of manufacturing industries: a principal components analysis," Energy Policy, Elsevier, vol. 33(2), pages 221-233, January.
    9. Mielnik, Otavio & Goldemberg, Jose, 1999. "Communication The evolution of the "carbonization index" in developing countries," Energy Policy, Elsevier, vol. 27(5), pages 307-308, May.
    10. Ang, B. W., 1999. "Is the energy intensity a less useful indicator than the carbon factor in the study of climate change?," Energy Policy, Elsevier, vol. 27(15), pages 943-946, December.
    11. Jun Liang & Shaobo Long, 2017. "Unified efficiency evaluation of regional industries in China: a nonradial directional distance function approach," Applied Economics Letters, Taylor & Francis Journals, vol. 24(16), pages 1154-1160, September.
    12. Zhang, ZhongXiang, 2010. "China in the transition to a low-carbon economy," Energy Policy, Elsevier, vol. 38(11), pages 6638-6653, November.
    13. Levinson, Arik, 1996. "Environmental regulations and manufacturers' location choices: Evidence from the Census of Manufactures," Journal of Public Economics, Elsevier, vol. 62(1-2), pages 5-29, October.
    14. Bagdadioglu, Necmiddin & Waddams Price, Catherine M. & Weyman-Jones, Thomas G., 1996. "Efficiency and ownership in electricity distribution: A non-parametric model of the Turkish experience," Energy Economics, Elsevier, vol. 18(1-2), pages 1-23, April.
    15. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
    16. 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.
    17. 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.
    18. Srete Nikolovski & Hamid Reza Baghaee & Dragan Mlakić, 2018. "ANFIS-Based Peak Power Shaving/Curtailment in Microgrids Including PV Units and BESSs," Energies, MDPI, vol. 11(11), pages 1-23, October.
    19. Zhao, Xiaoli & Ma, Qian & Yang, Rui, 2013. "Factors influencing CO2 emissions in China's power industry: Co-integration analysis," Energy Policy, Elsevier, vol. 57(C), pages 89-98.
    20. Hou, Jian & Zhang, Peidong & Tian, Yongsheng & Yuan, Xianzheng & Yang, Yanli, 2011. "Developing low-carbon economy: Actions, challenges and solutions for energy savings in China," Renewable Energy, Elsevier, vol. 36(11), pages 3037-3042.
    21. Jiang, Bing & Sun, Zhenqing & Liu, Meiqin, 2010. "China's energy development strategy under the low-carbon economy," Energy, Elsevier, vol. 35(11), pages 4257-4264.
    22. Soytas, Ugur & Sari, Ramazan & Ewing, Bradley T., 2007. "Energy consumption, income, and carbon emissions in the United States," Ecological Economics, Elsevier, vol. 62(3-4), pages 482-489, May.
    23. Wei Wang & Hualin Xie & Fucai Lu & Xinmin Zhang, 2017. "Measuring the Performance of Industrial Green Development Using a Non-Radial Directional Distance Function Approach: A Case Study of Jiangxi Province in China," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    24. Cole Matthew A & Elliott Rob J, 2007. "Do Environmental Regulations Cost Jobs? An Industry-Level Analysis of the UK," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-27, June.
    25. Zhang, Na & Lior, Noam & Jin, Hongguang, 2011. "The energy situation and its sustainable development strategy in China," Energy, Elsevier, vol. 36(6), pages 3639-3649.
    26. Yuquing Xing & Charles Kolstad, 2002. "Do Lax Environmental Regulations Attract Foreign Investment?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 21(1), pages 1-22, January.
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