文献类型：期刊文献

英文题名：Spatiotemporal Characteristics and Influencing Factors of Water Resources' Green Utilization Efficiency in China: Based on the EBM Model with Undesirable Outputs and SDM Model

作者：Zeng, Liangen[1];Li, Peilin[2];Yu, Zhao[3];Nie, Yang[4];Li, Shengzhang[5];Gao, Guangye[6];Huang, Di[7]

第一作者：Zeng, Liangen

通讯作者：Yu, Z[1]

机构：[1]Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China;[2]Chinese Acad Macroecon Res, Inst Spatial Planning & Reg Econ, Beijing 100038, Peoples R China;[3]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China;[4]Peking Univ, Guanghua Sch Management, Beijing 100871, Peoples R China;[5]Beijing Union Univ, Smart City Coll, Beijing 100101, Peoples R China;[6]Ocean Univ China, Management Coll, Qingdao 266100, Peoples R China;[7]Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China

第一机构：Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China

通讯机构：[1]corresponding author), Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China.

年份：2022

卷号：14

期号：18

外文期刊名：WATER

收录：;EI(收录号：20223912802373);Scopus(收录号：2-s2.0-85138677107);WOS:【SCI-EXPANDED(收录号:WOS:000858869100001)】；

基金：This research was funded by Carbon Neutralization Promotion Fund of China Green Carbon Foundation.

语种：英文

外文关键词：water resources green utilization efficiency; spatial autocorrelation analysis; spatial Durbin model

摘要：A shortage of water resources is a global issue of common concern. The contribution of the article mainly includes the following two parts. First is the study of water resources' green utilization efficiency (WRGUE) in 30 provincial administrative units of China from 2009 to 2019 by adopting the epsilon-based measure (EBM) model with undesirable outputs, which can yield a more accurate and reasonable assessment result. In addition, the spatial Durbin model was applied to analyze the driving factors of the WRGUE, which considers the spatial effects. The results are as follows: (1) The discrepancy of the WRGUE in different regions of China is conspicuous, with the highest in East China, followed by the central and the western region, while the Northeast is the lowest. A general decrease trend from China's southeast coastal area to the northwest inland is presented. (2) Global spatial autocorrelation analysis shows a significant positive spatial autocorrelation in the WRGUE of the 30 sample provinces. However, the local spatial autocorrelation analysis shows that the WRGUE in China presents stronger spatial homogeneity than heterogeneity. (3) The levels of technology advancement, economic development, and the Opening-up policy implementation serve as positive factors influencing the WRGUE in China. On the contrary, the urbanization level has a significant negative impact on the WRGUE. The results of this paper may have great value for sustainable water resource utilization.