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Energy abatement in Chinese industry: Cost evaluation of regulation strategies and allocation alternatives

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  • Xia, X.H.
  • Chen, G.Q.

Abstract

For Chinese industry, the costs of different energy consumption abatement scenarios are evaluated by the method of directional distance function. These scenarios are based on the combinations of regulation strategies and allocation alternatives—the former are sectors and provinces, and the latter include the five principles of average, intensity share, absolute share, discriminatory absolute and discriminatory intensity. For all the scenarios, the quantitative impacts in terms of output potential loss are calculated and compared. Due to less output potential loss for all the allocation alternatives, the sector regulation strategy is shown to be more effective than the province regulation strategy. It is also demonstrated that, among all the scenarios considered, the sector regulation based on the intensity share principle and the province regulation based on the absolute share principle are the two optimal. The performances of energy abatement allocation of the 11th and 12th Five Year Plans of China are assessed against the simulated scenarios.

Suggested Citation

  • Xia, X.H. & Chen, G.Q., 2012. "Energy abatement in Chinese industry: Cost evaluation of regulation strategies and allocation alternatives," Energy Policy, Elsevier, vol. 45(C), pages 449-458.
    • Handle: RePEc:eee:enepol:v:45:y:2012:i:c:p:449-458
    DOI: 10.1016/j.enpol.2012.02.055
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    1. Gale Boyd & George Tolley & Joseph Pang, 2002. "Plant Level Productivity, Efficiency, and Environmental Performance of the Container Glass Industry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(1), pages 29-43, September.
    2. Boyd, Gale A. & McClelland, John D., 1999. "The Impact of Environmental Constraints on Productivity Improvement in Integrated Paper Plants," Journal of Environmental Economics and Management, Elsevier, vol. 38(2), pages 121-142, September.
    3. Zhang, ZhongXiang, 2010. "China in the transition to a low-carbon economy," Energy Policy, Elsevier, vol. 38(11), pages 6638-6653, November.
    4. Picazo-Tadeo, Andres J. & Reig-Martinez, Ernest & Hernandez-Sancho, Francesc, 2005. "Directional distance functions and environmental regulation," Resource and Energy Economics, Elsevier, vol. 27(2), pages 131-142, June.
    5. Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
    6. Watanabe, Michio & Tanaka, Katsuya, 2007. "Efficiency analysis of Chinese industry: A directional distance function approach," Energy Policy, Elsevier, vol. 35(12), pages 6323-6331, December.
    7. Stéphane Blancard & Jean-Philippe Boussemart & Walter Briec & Kristiaan Kerstens, 2006. "Short- and Long-Run Credit Constraints in French Agriculture: A Directional Distance Function Framework Using Expenditure-Constrained Profit Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 351-364.
    8. Chang, Yen-Chiang & Wang, Nannan, 2010. "Environmental regulations and emissions trading in China," Energy Policy, Elsevier, vol. 38(7), pages 3356-3364, July.
    9. Chen, B. & Chen, G.Q., 2007. "Resource analysis of the Chinese society 1980-2002 based on exergy--Part 3: Agricultural products," Energy Policy, Elsevier, vol. 35(4), pages 2065-2078, April.
    10. Isabelle Piot-Lepetit & Monique Le Moing, 2007. "Productivity and environmental regulation : the effect of the nitrates directive in the French pig sector," Post-Print hal-02375148, HAL.
    11. Benoit Dervaux & Gary Ferrier & Herve Leleu & Vivian Valdmanis, 2004. "Comparing French and US hospital technologies: a directional input distance function approach," Applied Economics, Taylor & Francis Journals, vol. 36(10), pages 1065-1081.
    12. Zhao, Xiaoli & Yin, Haitao, 2011. "Industrial relocation and energy consumption: Evidence from China," Energy Policy, Elsevier, vol. 39(5), pages 2944-2956, May.
    13. Wang, Qiang & Qiu, Huan-Ning & Kuang, Yaoqiu, 2009. "Market-driven energy pricing necessary to ensure China's power supply," Energy Policy, Elsevier, vol. 37(7), pages 2498-2504, July.
    14. Chen, B. & Chen, G.Q., 2007. "Resource analysis of the Chinese society 1980-2002 based on exergy--Part 4: Fishery and rangeland," Energy Policy, Elsevier, vol. 35(4), pages 2079-2086, April.
    15. Xia, X.H. & Huang, G.T. & Chen, G.Q. & Zhang, Bo & Chen, Z.M. & Yang, Q., 2011. "Energy security, efficiency and carbon emission of Chinese industry," Energy Policy, Elsevier, vol. 39(6), pages 3520-3528, June.
    16. Lozano, Sebastián & Gutiérrez, Ester, 2008. "Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions," Ecological Economics, Elsevier, vol. 66(4), pages 687-699, July.
    17. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    18. Mukherjee, Kankana, 2010. "Measuring energy efficiency in the context of an emerging economy: The case of indian manufacturing," European Journal of Operational Research, Elsevier, vol. 201(3), pages 933-941, March.
    19. Wei, Yi-Ming & Liao, Hua & Fan, Ying, 2007. "An empirical analysis of energy efficiency in China's iron and steel sector," Energy, Elsevier, vol. 32(12), pages 2262-2270.
    20. Eichhorst, Urda & Bongardt, Daniel, 2009. "Towards cooperative policy approaches in China--Drivers for voluntary agreements on industrial energy efficiency in Nanjing," Energy Policy, Elsevier, vol. 37(5), pages 1855-1865, May.
    21. Isabelle Piot-Lepetit & Monique Moing, 2007. "Productivity and environmental regulation: the effect of the nitrates directive in the French pig sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(4), pages 433-446, December.
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    3. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    4. Baochen Yang & Chuanze Liu & Yunpeng Su & Xin Jing, 2017. "The Allocation of Carbon Intensity Reduction Target by 2020 among Industrial Sectors in China," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    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. Weidong Chen & Qing He, 2016. "Intersectoral burden sharing of CO 2 mitigation in China in 2020," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(1), pages 1-14, January.
    8. Kejia Yang & Yalin Lei & Weiming Chen & Lingna Liu, 2018. "Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 321-335, March.
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    10. Han, Mengyao & Xiong, Jiao & Wang, Siyuan & Yang, Yu, 2020. "Chinese photovoltaic poverty alleviation: Geographic distribution, economic benefits and emission mitigation," Energy Policy, Elsevier, vol. 144(C).

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