IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i3p659-d201139.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/3/659/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/3/659/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Zhang, ZhongXiang, 2010. "China in the transition to a low-carbon economy," Energy Policy, Elsevier, vol. 38(11), pages 6638-6653, November.
    3. 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.
    4. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    14. 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.
    15. 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.
    16. Pollitt, Michael G, 1996. "Ownership and Efficiency in Nuclear Power Production," Oxford Economic Papers, Oxford University Press, vol. 48(2), pages 342-360, April.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ying-yu Lu & Yue He & Bo Wang & Shuang-shuang Ye & Yidi Hua & Lei Ding, 2019. "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    2. Yang, Lisha & Li, Yutianhao & Liu, Hongxun, 2021. "Did carbon trade improve green production performance? Evidence from China," Energy Economics, Elsevier, vol. 96(C).
    3. Hongxing Tu & Wei Dai & Xu Xiao, 2022. "Study on the Environmental Efficiency of the Chinese Cement Industry Based on the Undesirable Output DEA Model," Energies, MDPI, vol. 15(9), pages 1-13, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuan, Jiahai & Xu, Yan & Hu, Zhaoguang, 2012. "Delivering power system transition in China," Energy Policy, Elsevier, vol. 50(C), pages 751-772.
    2. Yuan, Jiahai & Xu, Yan & Hu, Zhen & Yu, Zhongfu & Liu, Jiangyan & Hu, Zhaoguang & Xu, Ming, 2012. "Managing electric power system transition in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5660-5677.
    3. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    4. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    5. Mian Yang & Zheng Hu & Jiahai Yuan, 2016. "The recent history and successes of China's energy efficiency policy," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(6), pages 715-730, November.
    6. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    7. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    8. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    9. Ke Li & Malin Song, 2016. "Green Development Performance in China: A Metafrontier Non-Radial Approach," Sustainability, MDPI, vol. 8(3), pages 1-21, March.
    10. Fu, Feng & Feng, Wen & Li, Zheng & Crawley, Edward F. & Ni, Weidou, 2011. "A network-based modeling framework for stakeholder analysis of China’s energy conservation campaign," Energy, Elsevier, vol. 36(8), pages 4996-5003.
    11. 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.
    12. Hong, Lixuan & Lund, Henrik & Mathiesen, Brian Vad & Möller, Bernd, 2013. "2050 pathway to an active renewable energy scenario for Jiangsu province," Energy Policy, Elsevier, vol. 53(C), pages 267-278.
    13. Kivyiro, Pendo & Arminen, Heli, 2014. "Carbon dioxide emissions, energy consumption, economic growth, and foreign direct investment: Causality analysis for Sub-Saharan Africa," Energy, Elsevier, vol. 74(C), pages 595-606.
    14. Fang, Yiping & Deng, Wei, 2011. "The critical scale and section management of cascade hydropower exploitation in Southwestern China," Energy, Elsevier, vol. 36(10), pages 5944-5953.
    15. Li, Feiyang & Lin, Ziyue & Huang, Liangxiong & Yang, Caiting, 2022. "Environmental regulation and global value chain division position：Analysis based on global transnational data," Energy Policy, Elsevier, vol. 168(C).
    16. Jin Zhu & Huaping Sun & Dequn Zhou & Lin Peng & Chuanwang Sun, 2020. "Carbon emission efficiency of thermal power in different regions of China and spatial correlations," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1221-1242, October.
    17. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    18. Liang, Sai & Zhang, Tianzhu, 2011. "Interactions of energy technology development and new energy exploitation with water technology development in China," Energy, Elsevier, vol. 36(12), pages 6960-6966.
    19. Antoine Dechezleprêtre & Misato Sato, 2017. "The Impacts of Environmental Regulations on Competitiveness," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(2), pages 183-206.
    20. Wang, Chen & Engels, Anita & Wang, Zhaohua, 2018. "Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1350-1364.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:659-:d:201139. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.