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Energy regulation in China: Objective selection, potential assessment and responsibility sharing by partial frontier analysis

Author

Listed:
  • Xia, X.H.
  • Chen, Y.B.
  • Li, J.S.
  • Tasawar, H.
  • Alsaedi, A.
  • Chen, G.Q.

Abstract

To cope with the excessive growth of energy consumption, the Chinese government has been trying to strengthen the energy regulation system by introducing new initiatives that aim at controlling the total amount of energy consumption. A partial frontier analysis is performed in this paper to make a comparative assessment of the combinations of possible energy conservation objectives, new constraints and regulation strategies. According to the characteristics of the coordination of existing regulation structure and the optimality of regulation strategy, four scenarios are constructed and regional responsibilities are reasonably divided by fully considering the production technology in the economy. The relative importance of output objectives and the total amount controlling is compared and the impacts on the regional economy caused by the changes of regulation strategy are also evaluated for updating regulation policy.

Suggested Citation

  • Xia, X.H. & Chen, Y.B. & Li, J.S. & Tasawar, H. & Alsaedi, A. & Chen, G.Q., 2014. "Energy regulation in China: Objective selection, potential assessment and responsibility sharing by partial frontier analysis," Energy Policy, Elsevier, vol. 66(C), pages 292-302.
    • Handle: RePEc:eee:enepol:v:66:y:2014:i:c:p:292-302
    DOI: 10.1016/j.enpol.2013.11.013
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    5. Xia, X.H. & Hu, Y. & Chen, G.Q. & Alsaedi, A. & Hayat, T. & Wu, X.D., 2015. "Vertical specialization, global trade and energy consumption for an urban economy: A value added export perspective for Beijing," Ecological Modelling, Elsevier, vol. 318(C), pages 49-58.
    6. Li, J.S. & Xia, X.H. & Chen, G.Q. & Alsaedi, A. & Hayat, T., 2016. "Optimal embodied energy abatement strategy for Beijing economy: Based on a three-scale input-output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1602-1610.
    7. Li, Huajiao & An, Haizhong & Wang, Yue & Huang, Jiachen & Gao, Xiangyun, 2016. "Evolutionary features of academic articles co-keyword network and keywords co-occurrence network: Based on two-mode affiliation network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 657-669.
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