Spatiotemporal Dynamics of Green Total-factor Water-use Efficiency and Its Influencing Factors in China

被引:0
|
作者
Dalai Ma
Fengtai Zhang
Lei Gao
Guangming Yang
Qing Yang
Youzhi An
机构
[1] Chongqing University of Technology,School of Management
[2] CSIRO,undefined
来源
Chinese Geographical Science | 2021年 / 31卷
关键词
green total-factor water-use efficiency (GTFWUE); spatiotemporal dynamics; water scarcity; influencing factors; spatial econometric model;
D O I
暂无
中图分类号
学科分类号
摘要
In this study, we developed an evaluation index system for green total-factor water-use efficiency (GTFWUE) which reflected both economic and green efficiencies of water resource utilization. Then we measured the GTFWUE of 30 provinces/municipalities/autonomous regions (hereafter provinces) in China (not including Tibet, Hong Kong, Macao, Taiwan as no data) from 2000 to 2018 using a minimum distance to the strong frontier model that contained an undesirable output. We further analyzed the regional differences and spatial correlations of GTFWUE using these values based on Global and Local Moran’s I statistics, and empirically determined the factors affecting GTFWUE using a spatial econometric model. The evaluation results revealed that the GTFWUE differed substantially between the regions. The provinces with high and low GTFWUE values were located in the coastal and inland areas of China, respectively. The eastern region had a significantly higher GTFWUE than the central and western regions. The GTFWUEs for all three regions (eastern, central, and western regions) decreased slowly from 2000 to 2011 (except 2005), remained stable from 2012 to 2016, and rapidly increased in 2017 before decreasing again in 2018. We found significant spatial correlations between the provincial GTFWUEs. The GTFWUE for most provinces belonged to the high-high or low-low cluster region, revealing a significant spatial clustering effect of provincial GTFWUEs. We also found that China’s GTFWUE was highly promoted by economic growth, population size, opening-up level, and urbanization level, and was evidently hindered by water endowment, technological progress, and government influence. However, the water-use structure had little impact on GTFWUE. This study fully demonstrated that the water use mode would be improved, and water resources needed to be used more efficiently and green in China. Moreover, based on the findings of this study, several policy recommendations were proposed from the aspects of cross-regional cooperation, economy, society, and institution.
引用
收藏
页码:795 / 814
页数:19
相关论文
共 50 条
  • [1] Spatiotemporal Dynamics of Green Total-factor Water-use Efficiency and Its Influencing Factors in China
    MA Dalai
    ZHANG Fengtai
    GAO Lei
    YANG Guangming
    YANG Qing
    AN Youzhi
    Chinese Geographical Science, 2021, 31 (05) : 795 - 814
  • [2] Spatiotemporal Dynamics of Green Total-factor Water-use Efficiency and Its Influencing Factors in China
    MA Dalai
    ZHANG Fengtai
    GAO Lei
    YANG Guangming
    YANG Qing
    AN Youzhi
    Chinese Geographical Science , 2021, (05) : 795 - 814
  • [3] Spatiotemporal Dynamics of Green Total-factor Water-use Efficiency and Its Influencing Factors in China
    Ma Dalai
    Zhang Fengtai
    Gao Lei
    Yang Guangming
    Yang Qing
    An Youzhi
    CHINESE GEOGRAPHICAL SCIENCE, 2021, 31 (05) : 795 - 814
  • [4] Total-factor energy efficiency calculation and its influencing factors analysis in China
    Wang, Zhao-Hua
    Feng, Chao
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2015, 35 (06): : 1361 - 1372
  • [5] Spatial-temporal disparities and influencing factors of total-factor green use efficiency of industrial land in China
    Xie, Hualin
    Chen, Qianru
    Lu, Fucai
    Wang, Wei
    Yao, Guanrong
    Yu, Jiangli
    JOURNAL OF CLEANER PRODUCTION, 2019, 207 : 1047 - 1058
  • [6] China’s industrial green total-factor energy efficiency and its influencing factors: a spatial econometric analysis
    Dalai Ma
    Haiting Xiong
    Fengtai Zhang
    Lei Gao
    Na Zhao
    Guangming Yang
    Qing Yang
    Environmental Science and Pollution Research, 2022, 29 : 18559 - 18577
  • [7] China's industrial green total-factor energy efficiency and its influencing factors: a spatial econometric analysis
    Ma, Dalai
    Xiong, Haiting
    Zhang, Fengtai
    Gao, Lei
    Zhao, Na
    Yang, Guangming
    Yang, Qing
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (13) : 18559 - 18577
  • [8] Spatiotemporal Variability in Water-Use Efficiency in Tianshan Mountains (Xinjiang, China) and the Influencing Factors
    Chen, Jun
    Cao, Liguo
    SUSTAINABILITY, 2022, 14 (13)
  • [9] Green total factor energy efficiency in China and its influencing factors
    Zhu Z.
    Zheng Y.
    International Journal of Sustainable Development and Planning, 2020, 15 (05) : 781 - 787
  • [10] Total-factor water efficiency of regions in China
    Hu, Jin-Li
    Wang, Shih-Chuan
    Yeh, Fang-Yu
    RESOURCES POLICY, 2006, 31 (04) : 217 - 230