长江经济带城市生态福利绩效评价及影响因素研究——以长江经济带110个城市为例
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摘要
采用基于松弛变量的SBM超效率模型,测算了长江经济带110个地级及以上城市的生态福利绩效,并利用Tobit模型回归分析其影响因素。结果表明:2015年长江经济带城市生态福利绩效整体处于DEA无效状态,长江经济带东部区域城市的生态福利绩效发展水平比较均衡,而中部与西部区域城市的生态福利绩效差距较大;经济规模的扩大与开放水平的提升,对长江经济带城市生态福利绩效有显著的正向影响,而第二产业比重的提高会降低城市生态福利绩效,城市人口密度与城市绿化对城市生态福利绩效的影响不显著。因此,可以通过加强区域合作、改革监管体制、提高要素使用效率以及提升利用外资质量等途径来改善长江经济带城市生态福利绩效。
This paper uses SBM super efficiency model based on slack variables to measure the ecological welfare performance of 110 prefecture level cities in the Yangtze River Economic Belt, and does regression analysis to its influencing factors based on the Tobit model. The result shows: the ecological welfare performance average level of 110 cities in the Yangtze River Economic Belt in 2015 was in the DEA invalid state, the ecological welfare performance level of the cities in the eastern region is relatively balanced, but there is a great gap between the ecological welfare performance in the central and western cities; the economic scale and economic openness can improve ecological welfare performance of the Yangtze River Economic Belt cities, while the proportion of the secondary industry has a negative correlation with the ecological welfare performance, and population density and city greening have no correlation with ecological welfare performance. Therefore,we can improve the ecological welfare performance of the Yangtze River Economic Belt by strengthening regional cooperation, reforming the supervision system, improving productivity and promoting the quality of FDI.
This paper uses SBM super efficiency model based on slack variables to measure the ecological welfare performance of 110 prefecture level cities in the Yangtze River Economic Belt, and does regression analysis to its influencing factors based on the Tobit model. The result shows: the ecological welfare performance average level of 110 cities in the Yangtze River Economic Belt in 2015 was in the DEA invalid state, the ecological welfare performance level of the cities in the eastern region is relatively balanced, but there is a great gap between the ecological welfare performance in the central and western cities; the economic scale and economic openness can improve ecological welfare performance of the Yangtze River Economic Belt cities, while the proportion of the secondary industry has a negative correlation with the ecological welfare performance, and population density and city greening have no correlation with ecological welfare performance. Therefore,we can improve the ecological welfare performance of the Yangtze River Economic Belt by strengthening regional cooperation, reforming the supervision system, improving productivity and promoting the quality of FDI.
引文
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[2]冯吉芳,袁健红.生态福利绩效——可持续发展新的分析工具[J].科技管理研究,2016,(12).
[3]Daly H.E..The World Dynamics of Economic Growth:The Economics of the Steady State[J].American Economic Review,1974,(2):15-23.
[4]Daly H.E..Economics in A Full World[J].Scientific American,2005,(3):100-107.
[5]Common M..Measuring National Economic Performance without Using Prices[J].Ecological Economics,2007,(1):92-102.
[6]Dietz T.,Rose E.A.,York R..Environmentally Efficient Well-being:Is There a Kuzenets Curve?[J].Applied Geography,2012,(1):21-28.
[7]何林,陈欣.基于生态福利的陕西省经济可持续发展研究[J].开发研究,2011,(6).
[8]臧漫丹,诸大建,刘国平.生态福利绩效:概念、内涵及G20实证[J].中国人口·资源与环境,2013,(5).
[9]诸大建,张帅.生态福利绩效及其与经济增长的关系研究[J].中国人口·资源与环境,2014,(9).
[10]冯吉芳,袁健红.中国区域生态福利绩效及其影响因素[J].中国科技论坛,2016,(3).
[11]龙亮军,王霞.上海市生态福利绩效评价研究[J].中国人口·资源与环境,2017,(2).
[12]杨玉磊.中国主要城市生态福利绩效测评及影响因素分析[J].干旱区资源与环境,2017,(7).
[13]Tone K..A Slacks-Based Measure of Efficiency in Data Envelopment Analysis[J].European Journal of Operational Reseach,2001,(130):498-509.
[14]Tone K..A Slacks-Based Measure of Super-Efficiency in Data Envelopment Analysis[J].European Journal of Operational Research,2001,143(1):32-41.
[15]Tobin J..Estimation of Relationships for Limited Dependent Variables[J].Econometric,1958,(26):24-36.
[16]UNDP.Human Development Report 1990:Concept and Measurement of Human Development[M].Oxford:Oxford University Press,1990:15-18.
[17]龙亮军,王霞,郭兵.基于改进DEA模型的城市生态福利绩效评价研究——以我国35个大中城市为例[J].自然资源学报,2017,(4).