中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatiotemporal characteristics and influential factors of eco-efficiency in Chinese prefecture-level cities: A spatial panel econometric analysis

文献类型:期刊论文

作者Ren, Yufei1,2; Fang, Chuanglin1,2; Li, Guangdong1,2
刊名JOURNAL OF CLEANER PRODUCTION
出版日期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
DOI10.1016/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.
WOS关键词FOREIGN DIRECT-INVESTMENT ; EPSILON-BASED MEASURE ; PM2.5 CONCENTRATIONS ; ENERGY-CONSUMPTION ; ECONOMIC-GROWTH ; CO2 EMISSIONS ; URBANIZATION ; IMPACTS ; PROMOTE ; MODELS
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研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000531487800005
出版者ELSEVIER SCI LTD
资助机构National Natural Science Foundation of China
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.

入库方式: OAI收割

来源:地理科学与资源研究所

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