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The spatial network and its driving factors for sustainable total-factor ecology efficiency: the case of China.
Shen, Yongchang; Sun, Xiaoling; Fu, Yunyun.
Affiliation
  • Shen Y; School of Economics and Management, Southeast University, Nanjing, 211189, China.
  • Sun X; School of Mathematics and Finance, Chuzhou University, Chuzhou, 239000, China.
  • Fu Y; School of Economics and Management, Southeast University, Nanjing, 211189, China.
Environ Sci Pollut Res Int ; 28(48): 68930-68945, 2021 Dec.
Article de En | MEDLINE | ID: mdl-34286425
ABSTRACT
The interaction of regional ecological efficiency is important for promoting ecological efficiency. Using a gravity model and social network analysis, this study investigated the spatial network characteristics of the sustainable total-factor ecology efficiency (STFEcE) in 30 provinces of China from 2005 to 2016 for the first time. The quadratic assignment procedure (QAP) was also used to analyze the factors affecting the network. The results are as follows. (1) The STFEcE between regions exhibited a spatial network relationship. (2) Jiangsu, Guangdong, Shandong, Ningxia, and other provinces were in the center of the network, whereas Guangxi, Anhui, and other provinces were on the edge. (3) The 30 provinces were divided into four plates, and the connections in the network were primarily based on the relationship between plates. (4) The difference between urban population, energy structure, and technical advancement negatively impacted the network relationship. The provinces should fully understand the value of the STFEcE network and implement appropriate measures to achieve collaborative improvement of regional ecological efficiency according to their roles in the network.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Écologie / Rendement Type d'étude: Prognostic_studies Limites: Humans Pays/Région comme sujet: Asia Langue: En Journal: Environ Sci Pollut Res Int Sujet du journal: SAUDE AMBIENTAL / TOXICOLOGIA Année: 2021 Type de document: Article Pays d'affiliation: Chine

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Écologie / Rendement Type d'étude: Prognostic_studies Limites: Humans Pays/Région comme sujet: Asia Langue: En Journal: Environ Sci Pollut Res Int Sujet du journal: SAUDE AMBIENTAL / TOXICOLOGIA Année: 2021 Type de document: Article Pays d'affiliation: Chine