Spatiotemporal characteristics and influential factors of eco-efficiency in Chinese prefecture-level cities: A spatial panel econometric analysis

doi:10.1016/j.jclepro.2020.120787

	Spatiotemporal characteristics and influential factors of eco-efficiency in Chinese prefecture-level cities: A spatial panel econometric analysis
	Ren, Yufei 1,2; Fang, Chuanglin 1,2; Li, Guangdong 1,2
刊名	JOURNAL OF CLEANER PRODUCTION
	2020-07-01
卷号	260 页码:11
关键词	Eco-efficiency Spillover effect Super epsilon-based measure model (S-EBM) Influential factors Spatial Durbin model China
ISSN号	0959-6526
DOI	10.1016/j.jclepro.2020.120787
通讯作者	Fang, Chuanglin(fangcl@igsnrr.ac.cn) ; Li, Guangdong(ligd@igsnrr.ac.cn)
英文摘要	Eco-efficiency, which emphasizes the significance of balancing the relationship between resource input, environmental pollution, and economic growth, has aroused extensive attention worldwide. China has seen profound economic growth in the past several decades, however, this has led to challenges for energy consumption growth and environmental issues (e.g., PM2.5 concentration). Improving eco-efficiency plays an important role in achieving sustainable development in China. Here, a novel evaluation framework of eco-efficiency is established by collecting satellite-derived data. Then, a hybrid distance model, named S-EBM with undesirable outputs, is applied to measure the eco-efficiency of Chinese 283 prefecture-level cities during the period 2003-2013. Finally, the spatial externality of eco-efficiency and its driving factors are examined by using a spatial Durbin model. Given that our results show the robustness in different spatial matrix settings, the research framework is applicable to the similar areas out of China (e.g., India). The empirical results show that: (1) eco-efficiency exhibits, by and large, a geographical gradual decrease trend from relatively developed areas to developing areas, however, a few exceptions indicate that a higher economic development level does not necessarily lead to a greater eco-efficiency, and vice versa; (2) estimation results of Moran's I index and hotspot analysis suggest that positive spatial autocorrelation of eco-efficiency is gradually increasing and the spatial distribution of statistically significant high and low agglomerations is changing over time; (3) The estimation results of the spatial Durbin model show that an increase in eco-efficiency in surrounding cities will improve the value of eco-efficiency in local cities; (4) The spatial externality of explanatory variables is also found, in which financial development, foreign direct investment, environmental regulation, and spatial urbanization level in neighboring cities impact the eco-efficiency in local cities. (C) 2020 Published by Elsevier Ltd.
资助项目	National Natural Science Foundation of China[41590840] ; National Natural Science Foundation of China[41590842] ; National Natural Science Foundation of China[19QXS007]
WOS关键词	FOREIGN DIRECT-INVESTMENT ; EPSILON-BASED MEASURE ; PM2.5 CONCENTRATIONS ; ENERGY-CONSUMPTION ; ECONOMIC-GROWTH ; CO2 EMISSIONS ; URBANIZATION ; IMPACTS ; PROMOTE ; MODELS
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000531487800005
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/159738]
专题	中国科学院地理科学与资源研究所
通讯作者	Fang, Chuanglin; Li, Guangdong
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Reg Sustainable Dev Modeling, Res IGSNRR, 11A Datun Rd, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Ren, Yufei,Fang, Chuanglin,Li, Guangdong. Spatiotemporal characteristics and influential factors of eco-efficiency in Chinese prefecture-level cities: A spatial panel econometric analysis[J]. JOURNAL OF CLEANER PRODUCTION,2020,260:11.
APA	Ren, Yufei,Fang, Chuanglin,&Li, Guangdong.(2020).Spatiotemporal characteristics and influential factors of eco-efficiency in Chinese prefecture-level cities: A spatial panel econometric analysis.JOURNAL OF CLEANER PRODUCTION,260,11.
MLA	Ren, Yufei,et al."Spatiotemporal characteristics and influential factors of eco-efficiency in Chinese prefecture-level cities: A spatial panel econometric analysis".JOURNAL OF CLEANER PRODUCTION 260(2020):11.