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Spatially Differentiated Features of Coal Resource Utilisation Efficiency in China

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  • Xueqin Lin
  • Dai Wang
  • Yuefang Si

Abstract

This study analyses the evolution of the spatial patterns of coal utilisation efficiency in Chinese provincial administrative units from 2000 to 2010 basing on the Super-Efficiency Data Envelopment Analysis(DEA) model. China?s total factor coal efficiency (TFCE) is generally low, and decreased during this time period. Specially, the TFCE decreases from the eastern coastal areas to the inland areas. The variation coefficient of TFCE in different administrative units increased from 0.437 in 2000 to 0.464 in 2010, indicating that spatial differences had increased. Technological advances have not significantly enhanced Chinese coal resource utilisation efficiency; however, pure efficiency and, more importantly, scale efficiencies have given impetus to the promotion of coal utilisation efficiency. Important external factors impacting these changes include market segmentation, environmental regulation and supervision, and the degree of openness with respect to sharing of knowledge and information.

Suggested Citation

  • Xueqin Lin & Dai Wang & Yuefang Si, 2015. "Spatially Differentiated Features of Coal Resource Utilisation Efficiency in China," Energy & Environment, , vol. 26(6-7), pages 1129-1145, November.
    • Handle: RePEc:sae:engenv:v:26:y:2015:i:6-7:p:1129-1145
    DOI: 10.1260/0958-305X.26.6-7.1129
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    1. Fan, Ying & Liao, Hua & Wei, Yi-Ming, 2007. "Can market oriented economic reforms contribute to energy efficiency improvement? Evidence from China," Energy Policy, Elsevier, vol. 35(4), pages 2287-2295, April.
    2. Honma, Satoshi & Hu, Jin-Li, 2009. "Total-factor energy productivity growth of regions in Japan," Energy Policy, Elsevier, vol. 37(10), pages 3941-3950, October.
    3. G. Boyd & J. F. McDonald & M. Ross & D. A. Hansont, 1987. "Separating the Changing Composition of U.S. Manufacturing Production from Energy Efficiency Improvements: A Divisia Index Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 77-96.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Worrell, Ernst & Price, Lynn, 2001. "Policy scenarios for energy efficiency improvement in industry," Energy Policy, Elsevier, vol. 29(14), pages 1223-1241, November.
    6. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    7. Mukherjee, Kankana, 2008. "Energy use efficiency in U.S. manufacturing: A nonparametric analysis," Energy Economics, Elsevier, vol. 30(1), pages 76-96, January.
    8. Oda, Junichiro & Akimoto, Keigo & Tomoda, Toshimasa & Nagashima, Miyuki & Wada, Kenichi & Sano, Fuminori, 2012. "International comparisons of energy efficiency in power, steel, and cement industries," Energy Policy, Elsevier, vol. 44(C), pages 118-129.
    9. Azadeh, A. & Amalnick, M.S. & Ghaderi, S.F. & Asadzadeh, S.M., 2007. "An integrated DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors," Energy Policy, Elsevier, vol. 35(7), pages 3792-3806, July.
    10. 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.
    11. Jenne, C. A. & Cattell, R. K., 1983. "Structural change and energy efficiency in industry," Energy Economics, Elsevier, vol. 5(2), pages 114-123, April.
    12. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    13. Fang, Hong & Wu, Junjie & Zeng, Catherine, 2009. "Comparative study on efficiency performance of listed coal mining companies in China and the US," Energy Policy, Elsevier, vol. 37(12), pages 5140-5148, December.
    14. Eyre, Nick, 1998. "A golden age or a false dawn? Energy efficiency in UK competitive energy markets," Energy Policy, Elsevier, vol. 26(12), pages 963-972, October.
    15. Richard G. Newell & Adam B. Jaffe & Robert N. Stavins, 1999. "The Induced Innovation Hypothesis and Energy-Saving Technological Change," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 941-975.
    16. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    17. Fisher-Vanden, Karen & Jefferson, Gary H. & Liu, Hongmei & Tao, Quan, 2004. "What is driving China's decline in energy intensity?," Resource and Energy Economics, Elsevier, vol. 26(1), pages 77-97, March.
    18. Madlener, R. & Alcott, B., 2009. "Energy rebound and economic growth: A review of the main issues and research needs," Energy, Elsevier, vol. 34(3), pages 370-376.
    19. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    20. Zhang, Xing-Ping & Cheng, Xiao-Mei & Yuan, Jia-Hai & Gao, Xiao-Jun, 2011. "Total-factor energy efficiency in developing countries," Energy Policy, Elsevier, vol. 39(2), pages 644-650, February.
    21. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, January.
    22. World Bank, 2011. "World Development Indicators 2011," World Bank Publications - Books, The World Bank Group, number 2315.
    23. Mei Xue & Patrick T. Harker, 2002. "Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models," Management Science, INFORMS, vol. 48(5), pages 705-710, May.
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