“双碳”目标与城市绿色转型发展

中国城市生态效率的动态演化及模式比较

  • 陈培荣 ,
  • 尹向飞
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陈培荣(1987—),男,湖南永州人,湖南财政经济学院经济学院讲师,博士,主要研究方向为资源经济与环境管理
尹向飞(1974—),男,湖南长沙人,湖南财政经济学院数学与统计学院院长,教授,硕士研究生导师,博士,主要研究方向为全要素生产率。

收稿日期: 2023-02-12

  修回日期: 2023-06-23

  网络出版日期: 2023-09-19

基金资助

国家社会科学基金项目(17BJL119) ——“全要素生产率测算及其分解方法研究”;湖南省社会科学成果评审委员会基金项目(XSP22YBZ091)——“长江经济带城市群绿色全要素生产率的空间分异及驱动因素研究”。

The dynamic evolution and comparison of models of China's urban eco-efficiency

  • CHEN Pei-rong ,
  • YIN Xiang-fei
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Received date: 2023-02-12

  Revised date: 2023-06-23

  Online published: 2023-09-19

摘要

运用基于非径向距离函数(NDDF)的修正Metafrontier超效率模型对中国278个地级市的生态效率进行测算,并与Luenberger生产率指数(LPI)相结合,分析中国城市生态效率的动态演化结构特征及其模式差异。研究发现,中国城市生态效率呈现缓慢增长态势,“资源节约”效率相较于“环境友好”效率增长更快。从变量分解看,土地资源和水资源节约是“资源节约”效率改善的贡献主体,而工业废水与二氧化硫排放对“环境友好”效率改善的贡献大体相当。从动力来源看,区域技术追赶是城市生态效率改善的主要驱动力,而区域管理效率产生了抑制效应。研究结论有助于识别不同类型城市的生态效率改善动力来源及其动态演化模式差异,进而为精准提升不同城市的生态效率提供政策参考。

本文引用格式

陈培荣 , 尹向飞 . 中国城市生态效率的动态演化及模式比较[J]. 城市问题, 2023 , 335(6) : 14 -25 . DOI: 10.13239/j.bjsshkxy.cswt.230602

Abstract

In this paper, the modified metafrontier super-efficiency model based on non-radial distance function (NDDF) is used to measure the eco-efficiency of 278 prefecture-level cities in China, and combined with Luenberger productivity index (LPI), the dynamic evolution structure characteristics and model differences of urban eco-efficiency in China are analyzed. The study found that the urban ecological efficiency in China shows a slow growth trend, and the efficiency of “resource conservation” is faster than that of “ environmental friendliness”. From the decomposition of variables, the conservation of land resources and water resources contributed to the main part of the improvement of “resource conservation” efficiency, while the contribution of industrial wastewater and sulfur dioxide emissions to the improvement of “environmental friendliness” efficiency was roughly the same. From the perspective of power sources, regional technological catch-up is the main driving force for the improvement of urban eco-efficiency, while regional management efficiency has a restraining effect. The conclusion of this study is helpful to identity the power sources and dynamic evolution patterns of eco-efficiency improvement in different types of cities, and then provide policy for accurately improving the eco-efficiency of different cities.

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