Research on the dynamic evolution and influence factors of industrial energy efficiency in China Yangtze River Economic Belt

被引:0
|
作者
You, Jiansheng [1 ]
Zhao, Rui [2 ,3 ]
机构
[1] Shandong Univ Technol, Sch Management, Zibo, Peoples R China
[2] Univ Int Business & Econ, Sch Govt, Beijing, Peoples R China
[3] Univ Int Business & Econ, Sch Govt, Beijing 100029, Peoples R China
关键词
YREB; industrial energy efficiency; super-EBM; spatial Dubin model; influence factors; ENVIRONMENTAL-REGULATION; BIOENERGY INDUSTRY; CONSUMPTION; PRODUCTIVITY; URBANIZATION; DETERMINANTS; INTENSITY; PROMOTE;
D O I
10.1177/0958305X231177750
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Improving the Yangtze River Economic Belt's industrial energy efficiency is not only an important measure to alleviate China's energy shortages but also a drive to promote green economic development. The Super-EBM model, Malmquist productivity index, exploratory spatial data analysis, and Spatial Dubin model are used in this article to investigate the spatial-temporal dynamic development characteristics and influencing factors of industrial energy efficiency in 108 cities of the Yangtze River Economic Belt from 2011 to 2020. The findings demonstrate that the industrial energy efficiency of the Yangtze River Economic Belt and its three urban agglomerations went through three stages, including the "oscillation period," "stability period," and "enhancement period," and decreases from east to west in the spatial dimension. The Yangtze River Delta urban agglomeration has the highest industrial energy efficiency, followed by the Middle-reach Yangtze River urban agglomeration, and the Chengdu-Chongqing urban agglomeration is the lowest. Further, this article identifies seven influencing factors including government intervention, industrial structure, degree of openness, R&D investment, urbanization, economic development, and environmental regulation. This article provides suggestions for industrial energy efficiency improvement.
引用
收藏
页码:4133 / 4155
页数:23
相关论文
共 50 条
  • [41] Study on the measurement of industrial eco-efficiency, spatial distribution and influencing factors in Yangtze River Economic Belt
    Liu, Liang
    Zhao, Yuting
    Yang, Yirui
    Liu, Shu
    Gong, Xiujuan
    Jiang, Pan
    [J]. PLOS ONE, 2023, 18 (04):
  • [42] Spatial-temporal Divergence Characteristics and Driving Factors of Green Economic Efficiency in the Yangtze River Economic Belt of China
    PAN Ting
    JIN Gui
    ZENG Shibo
    WANG Rui
    [J]. Chinese Geographical Science, 2024, 34 (06) : 1158 - 1174
  • [43] Can industrial intelligence promote carbon emission efficiency? --empirical research based on the Yangtze River Economic Belt
    Xiao, Xiangtao
    Chen, Ming
    Zhang, Aoxiang
    Wu, Yunfeng
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 12
  • [44] Spatial-Temporal Evolution and Its Influencing Factors on Urban Land Use Efficiency in China's Yangtze River Economic Belt
    Zhang, Liguo
    Huang, Luchen
    Xia, Jinglin
    Duan, Kaifeng
    [J]. LAND, 2023, 12 (01)
  • [45] Coordinated Evolution and Influencing Factors of Population and Economy in the Yangtze River Economic Belt
    Wang, Yazhu
    Zou, Hui
    Duan, Xuejun
    Wang, Lingqing
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (21)
  • [46] Influence of economic growth and energy consumption on carbon emissions in Yangtze River Economic Belt
    Han, Yuling
    Liu, Yiping
    [J]. INTERNATIONAL WORKSHOP ON GREEN ENERGY, ENVIRONMENT AND SUSTAINABLE DEVELOPMENT, 2020, 601
  • [47] Coupling coordination and spatiotemporal dynamic evolution of the water-energy-food-land (WEFL) nexus in the Yangtze River Economic Belt, China
    Peiran Jing
    Tiesong Hu
    Jinbao Sheng
    Ali Mahmoud
    Yong Liu
    Dewei Yang
    Lidan Guo
    Mingxian Li
    Yueting Wu
    [J]. Environmental Science and Pollution Research, 2023, 30 : 34978 - 34995
  • [48] Coupling coordination and spatiotemporal dynamic evolution of the water-energy-food-land (WEFL) nexus in the Yangtze River Economic Belt, China
    Jing, Peiran
    Hu, Tiesong
    Sheng, Jinbao
    Mahmoud, Ali
    Liu, Yong
    Yang, Dewei
    Guo, Lidan
    Li, Mingxian
    Wu, Yueting
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (12) : 34978 - 34995
  • [49] Spatial-temporal evolution and driving factors of grey water footprint efficiency in the Yangtze River Economic Belt
    Xu, Changxin
    Liu, Yu
    Fu, Tianbo
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 844
  • [50] Analysis of the spatial-temporal evolution and driving factors of carbon emission efficiency in the Yangtze River economic Belt
    Jin, Yanzhi
    Zhang, Kerong
    Li, Dongyang
    Wang, Siyuan
    Liu, Wuyi
    [J]. ECOLOGICAL INDICATORS, 2024, 165