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Energy Efficiency, Ownership Structure, and Sustainable Development: Evidence from China

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  • Weixin Yang

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Lingguang Li

    (School of Mathematical Sciences, Tongji University, Shanghai 200092, China)

Abstract

Low energy efficiency and severe environmental pollution are two growing issues haunting China’s fast economic development. Under China’s current development model, economic growth still heavily depends on massive energy input, which makes energy efficiency one crucial topic in order to secure future sustainable development of China. This paper focuses on the unique energy ownership structure of China, and designs and adopts MATLAB programming for optimization solutions of multi-variable constrained nonlinear functions to obtain results that can better reflect China’s energy efficiency and solutions to sustainable development of China. Using this model, this paper conducts an empirical analysis on the impact of difference energy investment behaviors between China’s state-owned entities and non-state-owned business on China’s Total Factor Energy Efficiency (TFEE) and sustainable development from 2003 to 2014. We find that Beijing and Shanghai represent the highest energy efficiency level in China. However, except for the more developed regions in Eastern China, for other provinces in Northeast China, Central China and Western China, the TFEE of energy investment by state-owned and non-state-owned economies are both quite low compared with the optimal level. Based on the above findings from the empirical study and detailed analysis by region, this paper discusses the possible reasons for China’s low TFEE and provides implications and policy recommendations.

Suggested Citation

  • Weixin Yang & Lingguang Li, 2017. "Energy Efficiency, Ownership Structure, and Sustainable Development: Evidence from China," Sustainability, MDPI, vol. 9(6), pages 1-26, June.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:6:p:912-:d:100174
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    References listed on IDEAS

    as
    1. Li, Lan-Bing & Hu, Jin-Li, 2012. "Ecological total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 46(C), pages 216-224.
    2. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 83-116.
    3. Birol, Fatih & Keppler, Jan Horst, 2000. "Prices, technology development and the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 457-469, June.
    4. Lanjouw, Jean Olson & Mody, Ashoka, 1996. "Innovation and the international diffusion of environmentally responsive technology," Research Policy, Elsevier, vol. 25(4), pages 549-571, June.
    5. Mehrara, Mohsen, 2007. "Energy consumption and economic growth: The case of oil exporting countries," Energy Policy, Elsevier, vol. 35(5), pages 2939-2945, May.
    6. Saunders, Harry D., 2000. "Does predicted rebound depend on distinguishing between energy and energy services?," Energy Policy, Elsevier, vol. 28(6-7), pages 497-500, June.
    7. Zhang, Jin & Xu, Linyu & Yu, Bing & Li, Xiaojin, 2014. "Environmentally feasible potential for hydropower development regarding environmental constraints," Energy Policy, Elsevier, vol. 73(C), pages 552-562.
    8. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    9. 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.
    10. Chang, Ming-Chung, 2013. "A comment on the calculation of the total-factor energy efficiency (TFEE) index," Energy Policy, Elsevier, vol. 53(C), pages 500-504.
    11. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    12. Pao, Hsiao-Tien & Li, Yi-Ying & Hsin-Chia Fu,, 2014. "Clean energy, non-clean energy, and economic growth in the MIST countries," Energy Policy, Elsevier, vol. 67(C), pages 932-942.
    13. repec:dau:papers:123456789/10972 is not listed on IDEAS
    14. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency," European Journal of Operational Research, Elsevier, vol. 200(1), pages 320-322, January.
    15. Lantz, V. & Feng, Q., 2006. "Assessing income, population, and technology impacts on CO2 emissions in Canada: Where's the EKC?," Ecological Economics, Elsevier, vol. 57(2), pages 229-238, May.
    16. Honma, Satoshi & Hu, Jin-Li, 2008. "Total-factor energy efficiency of regions in Japan," Energy Policy, Elsevier, vol. 36(2), pages 821-833, February.
    17. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    18. Shiyi Chen & Shujian Zhang, 2014. "Large-Scale Land Use for Construction and Energy Consumption after the New Millennium with Their Impact on Total-Factor Efficiency Change in China’s Regional Economy," Energies, MDPI, vol. 7(4), pages 1-18, March.
    19. Anderson, Dennis & Cavendish, William, 2001. "Dynamic Simulation and Environmental Policy Analysis: Beyond Comparative Statistics and the Environmental Kuznets Curve," Oxford Economic Papers, Oxford University Press, vol. 53(4), pages 721-746, October.
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