4.7 Article

Dynamics, differences, influencing factors of eco-efficiency in China: A spatiotemporal perspective analysis

期刊

JOURNAL OF ENVIRONMENTAL MANAGEMENT
卷 264, 期 -, 页码 -

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2020.110442

关键词

Eco-efficiency; Undesirable output SBM Model; Spatiotemporal dynamics; Spatial autocorrelation panel data model

资金

  1. National Natural Science Foundation of China [Y9C90130AE, 41871170]
  2. Fundamental Research Funds for the Central Universities [19lgzd09]
  3. Guangdong Special Support Program
  4. Pearl River S&T Nova Program of Guangzhou [201806010187]

向作者/读者索取更多资源

Eco-efficiency can effectively measure the relationship between economy, resources, environment, and development. Understanding eco-efficiency is of great practical significance for decision makers tasked with addressing and delivering sustainable socioeconomic development. Based on an undesirable output Slacks-Based Measure models, this study evaluated the eco-efficiency of 285 Chinese cities during the period 2004-2014, analyzing spatio-temporal dynamics and influencing factors using a Spatial Autocorrelation Panel Data Model. The main results are as follows: From the spatial perspective, eco-efficiency in Chinese cities generally evidenced an M-shaped trend (increasing-decreasing-increasing-decreasing), and imbalanced spatiotemporal dynamics. Furthermore, the urban eco-efficiency generally presented a distinct convergence of HH cluster and LL cluster clubs, with the latter being the most dominant. From the regional point of view, there existed a decreasing trend in the efficiencies of cities, from eastern China to central and western China. In addition, we identified significant differences in the eco-efficiency of different cities in China, and the coefficient of variation of eco-efficiency showed a general decrease. The results of our estimation of the factors affecting urban eco-efficiency showed that the economic development level, the industrial structure, import and export trade, and the information level all had significant positive influence, and local government expenditure, social retail sales of consumer goods, and infrastructure all had a negative effect on urban eco-efficiency. This paper puts forward numbers of suggestions for ways to promote social, ecological, and economic development in Chinese cities, based on our findings.

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