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Review of environmental efficiency and its influencing factors in China: 1998–2009

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Listed:
  • Song, Malin
  • Song, Yaqing
  • An, Qingxian
  • Yu, Huayin

Abstract

Improving environmental efficiency has been regarded as an objective requirement and an inevitable path to build a resource-saving and environment-friendly society in China. The slacks-based measurement (SBM) model with undesirable output is applied to measure the environmental efficiency of provinces in China from 1998 to 2009. Then, by the Tobit model, we can empirically test the impact of influencing factors on the environmental efficiency. It demonstrates the low value of the environmental efficiency of each province with an essentially descending trend on the whole and the distinct differences between the environmental efficiency of those provinces. Besides, GDP per capita dependent on foreign capital and trade, environmental awareness and population density have obviously positive impacts on environmental efficiency. And the proportion of the secondary industry in the GDP shows a significantly negative impact on the environmental efficiency.

Suggested Citation

  • Song, Malin & Song, Yaqing & An, Qingxian & Yu, Huayin, 2013. "Review of environmental efficiency and its influencing factors in China: 1998–2009," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 8-14.
  • Handle: RePEc:eee:rensus:v:20:y:2013:i:c:p:8-14
    DOI: 10.1016/j.rser.2012.11.075
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    References listed on IDEAS

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    1. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    2. Song, Malin & An, Qingxian & Zhang, Wei & Wang, Zeya & Wu, Jie, 2012. "Environmental efficiency evaluation based on data envelopment analysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4465-4469.
    3. S You & H Yan, 2011. "A new approach in modelling undesirable output in DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2146-2156, December.
    4. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
    5. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    6. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    7. 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.
    8. S You & H Yan, 2011. "A new approach in modelling undesirable output in DEA model☆," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2146-2156, December.
    9. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "Measuring environmental performance under different environmental DEA technologies," Energy Economics, Elsevier, vol. 30(1), pages 1-14, January.
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