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

Ma, Li, Long, Hualou, Chen, Kunqiu, Tu, Shuangshuang, Zhang, Yingnan, Liao, Liuwen
Resources, conservation, and recycling 2019 v.146 pp. 441-451
center of gravity, cities, databases, entropy, environmental impact, models, socioeconomics, spatial data, China
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.