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Green growth efficiency of Chinese cities and its spatio-temporal pattern

文献类型：期刊论文

作者Ma, Li1,2,3; Long, Hualou1,2,3; Chen, Kunqiu1,2,3; Tu, Shuangshuang1,4; Zhang, Yingnan1,2,3; Liao, Liuwen1,2,3
刊名RESOURCES CONSERVATION AND RECYCLING
出版日期2019-07-01
卷号146页码:441-451
关键词Green growth efficiency SBM model Spatial autocorrelation analysis Spatio-temporal pattern Industrialization and urbanization Sustainable development Gravity center analysis
ISSN号0921-3449
DOI10.1016/j.resconrec.2019.03.049
通讯作者Long, Hualou(longhl@igsnrr.ac.cn) ; Tu, Shuangshuang(tuss@nnnu.edu.cn)
英文摘要Based on the panel data of 285 Chinese cities at prefecture level from 2005 to 2016, remote sensing data and socio-economic data were used to establish a green growth efficiency analysis database. Additionally, the TOPSIS model, super-efficient SBM model, and exploratory spatial analysis method supported by the entropy technology were applied to test and analyze the input-output index, comprehensive evaluation index, spatio-temporal pattern of green growth efficiency, spatial correlation effect, and the shift of the barycenter of green growth of Chinese cities. The following results were obtained: (1) There are obvious spatial differences between Chinese cities in terms of resources investment, socio-economic benefits, and environmental impact index of green growth; the efficiency of urban resource conversion is low, and there is much scope for improvement. (2) In 2005, 2010, and 2016, the comprehensive evaluation index of green growth of Chinese cities increased first and then decreased, and the regional gap was small but was gradually expanding. The green growth efficiency decreased first and then increased with significant spatial differences. (3) In 2005, 2010, and 2016, the Moran's I of China's green growth efficiency was 0.1888, 0.0745, and 0.0584, respectively. There was a positive correlation but a weakening trend spatially, featuring "small agglomeration and large dispersion." (4) From 2005 to 2016, the center of gravity of China's green growth efficiency moved toward the southwest-the moving track was from Suiping County to Biyang County, and to Suizhou City. The research results could improve China's green growth efficiency and provide scientific support and a practical reference for narrowing the imbalance of green growth between the regions.
WOS关键词SPATIAL-TEMPORAL DISPARITIES ; GAS EMISSION REDUCTION ; SLACKS-BASED MEASURE ; LAND-USE ; ECONOMIC-DEVELOPMENT ; NATURAL-RESOURCES ; INDUSTRIAL LAND ; ENVIRONMENT ; INDICATORS ; MANAGEMENT
资助项目Key Program of National Natural Science Foundation of China[41731286] ; Postdoctoral Science Foundation of China[2018M630197] ; Bagui Scholars Program of Guangxi Zhuang Autonomous Region ; Natural Science Foundation of Guangxi Zhuang Autonomous Region[2018GXNSFAA138055]
WOS研究方向Engineering ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000468712900042
出版者ELSEVIER SCIENCE BV
资助机构Key Program of National Natural Science Foundation of China ; Postdoctoral Science Foundation of China ; Bagui Scholars Program of Guangxi Zhuang Autonomous Region ; Natural Science Foundation of Guangxi Zhuang Autonomous Region
源URL[http://ir.igsnrr.ac.cn/handle/311030/59317]  
专题中国科学院地理科学与资源研究所
通讯作者Long, Hualou; Tu, Shuangshuang
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
4.Nanning Normal Univ, Key Lab Environm Change & Resources Use Beibu Gul, Minist Educ, Nanning 530001, Peoples R China
推荐引用方式
GB/T 7714		 Ma, Li,Long, Hualou,Chen, Kunqiu,et al. Green growth efficiency of Chinese cities and its spatio-temporal pattern[J]. RESOURCES CONSERVATION AND RECYCLING,2019,146:441-451.
APA Ma, Li,Long, Hualou,Chen, Kunqiu,Tu, Shuangshuang,Zhang, Yingnan,&Liao, Liuwen.(2019).Green growth efficiency of Chinese cities and its spatio-temporal pattern.RESOURCES CONSERVATION AND RECYCLING,146,441-451.
MLA Ma, Li,et al."Green growth efficiency of Chinese cities and its spatio-temporal pattern".RESOURCES CONSERVATION AND RECYCLING 146(2019):441-451.

入库方式： OAI收割

来源：地理科学与资源研究所

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