Literature DB >> 32250887

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

Qianqian Liu1, Shaojian Wang2, Bo Li3, Wenzhong Zhang4.   

Abstract

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 spatiotemporal 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.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

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

Mesh:

Year:  2020        PMID: 32250887     DOI: 10.1016/j.jenvman.2020.110442

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

1.  Measuring Regional Eco-Efficiency in China (2003-2016): A "Full World" Perspective and Network Data Envelopment Analysis.

Authors:  Weizhen Ren; Zilong Zhang; Yueju Wang; Bing Xue; Xingpeng Chen
Journal:  Int J Environ Res Public Health       Date:  2020-05-15       Impact factor: 3.390

2.  Dynamic Changes, Spatiotemporal Differences and Factors Influencing the Urban Eco-Efficiency in the Lower Reaches of the Yellow River.

Authors:  Yu Zhang; Wenliang Geng; Pengyan Zhang; Erling Li; Tianqi Rong; Ying Liu; Jingwen Shao; Hao Chang
Journal:  Int J Environ Res Public Health       Date:  2020-10-15       Impact factor: 3.390

  2 in total

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