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Evaluating China's urban environmental sustainability with Data Envelopment Analysis

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  • Yu, Yan
  • Wen, Zongguo
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    Abstract

    China's rapid urbanization has been characterized by excessive economic growth and a series of environmental issues. The urban environmental sustainability of 46 typical Chinese cities in 2007 was evaluated with Data Envelopment Analysis in this paper, and the Malmquist Productivity Index was used to identify the change within 2006-2007. This analysis employed indicators from economic, environmental, and resource sub-systems which are frequently involved in the concept of environmental sustainability. We introduced projecting and benchmarking as two possible approaches for less sustainable cities to refer to their peers. Based on the computed results and empirical analysis, the roles of GDP per capita, city scale, and industrial structure as influence factors of environmental sustainability were explored; and the regional disparity of urban environmental sustainability was also investigated. The results show: (1) 24% of the sample cities (e.g. Beijing, Hohhot, etc.) are relatively "environmentally sustainable." The efficiency scores of Urumqi rank the last. (2) GDP per capita, city scale, and industrial structure factors all exert significant influence on urban environmental sustainability. (3) The environmental sustainability of southeast cities leads the 6 major Chinese regions, and cities around the Bohai area are rapidly approaching environmental sustainability.

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    File URL: http://www.sciencedirect.com/science/article/B6VDY-505NCV6-1/2/1c4fdc7a9672fc44d45cf25c82d88921
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    Bibliographic Info

    Article provided by Elsevier in its journal Ecological Economics.

    Volume (Year): 69 (2010)
    Issue (Month): 9 (July)
    Pages: 1748-1755

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    Handle: RePEc:eee:ecolec:v:69:y:2010:i:9:p:1748-1755

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    Web page: http://www.elsevier.com/locate/ecolecon

    Related research

    Keywords: Chinese cities Data Envelopment Analysis Malmquist Productivity Index Environmental sustainability;

    References

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    1. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    2. 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.
    3. Wen, Zongguo & Zhang, Kunmin & Du, Bin & Li, Yadong & Li, Wei, 2007. "Case study on the use of genuine progress indicator to measure urban economic welfare in China," Ecological Economics, Elsevier, vol. 63(2-3), pages 463-475, August.
    4. Gene M. Grossman & Alan B. Krueger, 1994. "Economic Growth and the Environment," NBER Working Papers 4634, National Bureau of Economic Research, Inc.
    5. Daly, Herman E, 1974. "The Economics of the Steady State," American Economic Review, American Economic Association, vol. 64(2), pages 15-21, May.
    6. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Slacks-based efficiency measures for modeling environmental performance," Ecological Economics, Elsevier, vol. 60(1), pages 111-118, November.
    7. Odeck, James, 2009. "Statistical precision of DEA and Malmquist indices: A bootstrap application to Norwegian grain producers," Omega, Elsevier, vol. 37(5), pages 1007-1017, October.
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    Cited by:
    1. Firnkorn, Jörg & Müller, Martin, 2011. "What will be the environmental effects of new free-floating car-sharing systems? The case of car2go in Ulm," Ecological Economics, Elsevier, vol. 70(8), pages 1519-1528, June.

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