基于三阶段DEA和超效率SBM模型的农村环境治理效率研究
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摘要
贯彻绿色发展理念,推进生态环境协同治理,是落实生态文明建设的现实需要,将三阶段DEA模型和超效率SBM模型相结合,对我国27个省份2005—2014年的农村环境治理效率进行测算。结果表明,我国农村环境治理效率受环境因素和随机误差的影响显著,在剔除环境因素和随机误差后,效率有所下降,但全国平均效率仍呈现上升的趋势,各省份的效率差距明显,大部分省份的农村环境治理效率均缓慢上升,上升幅度最大的为内蒙古,少数地区的农村环境治理效率有所下降,下降幅度最大的为河南,农村环境治理效率与地区经济发展程度并不完全对应。同时针对提高农村环境治理效率提出了一些政策建议。
The implementation of ecological civilization construction needs to implement the concept of green development,promote the coordinated management of ecological environment,in order to measure the efficiency of rural environmental management in 27 provinces,municipalities and autonomous regions in China from 2005 to 2014,and combine the three-stage DEA model with the super-efficient SBM model.The results show that environmental factors and random errors have significant effects on the efficiency of rural environmental management in China.After removing them,the efficiency has decreased,but the national average efficiency still shows an upward trend.There is a clear gap between the efficiency of each region.In most areas,rural environmental governance has been slowly rising.The largest increase is in Inner Mongolia.Only a few regions have declined.The largest decline is in Henan.The efficiency of rural environmental management does not correspond to the level of regional economic development.At the same time,some policy recommendations have been provided to improve the efficiency of rural environmental governance.
The implementation of ecological civilization construction needs to implement the concept of green development,promote the coordinated management of ecological environment,in order to measure the efficiency of rural environmental management in 27 provinces,municipalities and autonomous regions in China from 2005 to 2014,and combine the three-stage DEA model with the super-efficient SBM model.The results show that environmental factors and random errors have significant effects on the efficiency of rural environmental management in China.After removing them,the efficiency has decreased,but the national average efficiency still shows an upward trend.There is a clear gap between the efficiency of each region.In most areas,rural environmental governance has been slowly rising.The largest increase is in Inner Mongolia.Only a few regions have declined.The largest decline is in Henan.The efficiency of rural environmental management does not correspond to the level of regional economic development.At the same time,some policy recommendations have been provided to improve the efficiency of rural environmental governance.
引文
[1]杨俊,陆宇嘉.基于三阶段DEA的中国环境治理投入效率[J].系统工程学报,2012(5):699-711.
[2]Brock W A,Taylor M S.The green solow model[R].Massachusetts:National Bureau of Economic Research,2004.
[3]Westermann G.Data Envelopment Analysis in the service sector[M].Gabler Edition Wissenschaft:Herzer wirtschaftswissenschaftliche Schriften,1999.
[4]Mandal S K,Madheswaran S.Environmental efficiency of the Indian cement industry:An interstate analysis[J].Energy Policy,2010,38(2):1108-1118.
[5]王恩旭,武春友.基于超效率DEA模型的中国省际生态效率时空差异研究[J].管理学报,2011(3):443-450.
[6]王俊能,许振成,胡习邦,等.基于DEA理论的中国区域环境效率分析[J].中国环境科学,2010(4):565-570.
[7]黄英,周智,黄娟.基于DEA的区域农村生态环境治理效率比较分析[J].干旱区资源与环境,2015(3):75-80.
[8]张颖聪.基于PCA-DEA模型的农村生态环境评价研究[J].农业技术经济,2011(6):53-61.
[9]谢里,王瑾瑾.中国农村绿色发展绩效的空间差异[J].中国人口·资源与环境,2016(6):20-26.
[10]Tone K.A slacks-based measure of efficiency in data envelopment analysis[J].European Journal of Operational Research,2001,130(3):498-509.
[11]Tone K.A slacks-based measure of super-efficiency in data envelopment analysis[J].European Journal of Operational Research,2002,143(1):32-41.
[12]Fried H O,Lovell C A K,Schmidt S S,et al.Accounting for environmental effects and statistical noise in data envelopment analysis[J].Journal of Productivity Analysis,2002,17(1-2):157-174
[2]Brock W A,Taylor M S.The green solow model[R].Massachusetts:National Bureau of Economic Research,2004.
[3]Westermann G.Data Envelopment Analysis in the service sector[M].Gabler Edition Wissenschaft:Herzer wirtschaftswissenschaftliche Schriften,1999.
[4]Mandal S K,Madheswaran S.Environmental efficiency of the Indian cement industry:An interstate analysis[J].Energy Policy,2010,38(2):1108-1118.
[5]王恩旭,武春友.基于超效率DEA模型的中国省际生态效率时空差异研究[J].管理学报,2011(3):443-450.
[6]王俊能,许振成,胡习邦,等.基于DEA理论的中国区域环境效率分析[J].中国环境科学,2010(4):565-570.
[7]黄英,周智,黄娟.基于DEA的区域农村生态环境治理效率比较分析[J].干旱区资源与环境,2015(3):75-80.
[8]张颖聪.基于PCA-DEA模型的农村生态环境评价研究[J].农业技术经济,2011(6):53-61.
[9]谢里,王瑾瑾.中国农村绿色发展绩效的空间差异[J].中国人口·资源与环境,2016(6):20-26.
[10]Tone K.A slacks-based measure of efficiency in data envelopment analysis[J].European Journal of Operational Research,2001,130(3):498-509.
[11]Tone K.A slacks-based measure of super-efficiency in data envelopment analysis[J].European Journal of Operational Research,2002,143(1):32-41.
[12]Fried H O,Lovell C A K,Schmidt S S,et al.Accounting for environmental effects and statistical noise in data envelopment analysis[J].Journal of Productivity Analysis,2002,17(1-2):157-174