Spatial–temporal differentiation and dynamic spatial convergence of inclusive low-carbon development: evidence from China

被引:0
|
作者
Long Xin
Hui Sun
Xuechao Xia
机构
[1] Xinjiang University,School of Economics and Management
[2] Xinjiang University,Centre for Innovation Management Research
关键词
Inclusive low-carbon development; Spatial–temporal differentiation; Dynamic spatial convergence; Dagum Gini coefficient;
D O I
暂无
中图分类号
学科分类号
摘要
Promoting green and low-carbon development has become a global consensus. However, few studies have explored the scientific connotation and influencing factors of inclusive low-carbon development (ILCD). Based on the perspective of inclusive growth and sustainable development, this paper constructs an economic growth-social inclusion-low carbon development (ESC) analytical framework and uses the improved entropy weight method to estimate the ILCD level of 30 provinces in China from 2006 to 2020. Kernel density estimation, Moran’s I index, and Dagum Gini coefficient decomposition are used to characterize the spatial and temporal variation patterns, and the variation coefficient and the dynamic spatial Durbin model are used to explore the dynamic spatial convergence characteristics. The results show that (1) ILCD in China is increasing steadily overall, but there is a significant spatial non-equilibrium characteristic of high in the east and low in the west. (2) The overall difference in ILCD shows a trend of fluctuation and narrowing, and the imbalance between regions is the primary source of the overall difference. (3) ILCD has significant path dependence and dynamic spatial convergence characteristics in the whole country and the three regions, and the spatial spillover effect tends to be good neighborliness. The rate of convergence shows a trend of national (4.77%) > western (2.33%) > eastern (1.97%) > central (0.96%), and the spatial convergence of the club is gradually becoming prominent. (4) The factors including economic development, technological innovation, urbanization level and human capital significantly affect ILCD, which also has regional heterogeneous. Therefore, it is necessary to break down administrative and market barriers, strengthen cross-regional cooperation and resource interconnectivity, and bring into play policy synergy to provide decision-making reference for achieving inclusive low-carbon development.
引用
收藏
页码:5197 / 5215
页数:18
相关论文
共 50 条
  • [1] Spatial-temporal differentiation and dynamic spatial convergence of inclusive low-carbon development: evidence from China
    Xin, Long
    Sun, Hui
    Xia, Xuechao
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (02) : 5197 - 5215
  • [2] Spatial Differentiation of China's Low Carbon Development
    Zhang, Jinping
    Meng, Dandan
    Dong, Jie
    [J]. PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON THE MODERN DEVELOPMENT OF HUMANITIES AND SOCIAL SCIENCE, 2013, : 438 - 440
  • [3] Spatial-Temporal Evolution and Convergence Characteristics of Agricultural Eco-Efficiency in China from a Low-Carbon Perspective
    Zhang, Chunbin
    Zhou, Rong
    Hou, Jundong
    Feng, Mengtong
    [J]. SUSTAINABILITY, 2022, 14 (24)
  • [4] Green credit and low-carbon development in China: Fresh evidence on spatial spillover insights
    Lyu, Yanwei
    Zhao, Yafei
    Zhang, Jinning
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (56) : 118601 - 118615
  • [5] Green credit and low-carbon development in China: Fresh evidence on spatial spillover insights
    Yanwei Lyu
    Yafei Zhao
    Jinning Zhang
    [J]. Environmental Science and Pollution Research, 2023, 30 : 118601 - 118615
  • [6] A Study of the Spatial Mechanism of Financial Agglomeration Affecting Green Low-Carbon Development: Evidence from China
    Quan, Tianshu
    Quan, Tianli
    [J]. SUSTAINABILITY, 2023, 15 (02)
  • [7] Temporal and spatial changes and influencing factors of low-carbon economy efficiency in China
    Guangming Yang
    Qingqing Gui
    Piyaphong Supanyo
    Fengtai Zhang
    Xingyu Yang
    Guofang Gong
    [J]. Environmental Monitoring and Assessment, 2023, 195
  • [8] Temporal and spatial changes and influencing factors of low-carbon economy efficiency in China
    Yang, Guangming
    Gui, Qingqing
    Supanyo, Piyaphong
    Zhang, Fengtai
    Yang, Xingyu
    Gong, Guofang
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (01)
  • [9] Spatial correlations and driving mechanisms of low-carbon agricultural development in china
    Fang, Fang
    Zhao, Jun
    Di, Jie
    Zhang, Lijie
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [10] The convergence characteristics of China's carbon intensity: Evidence from a dynamic spatial panel approach
    Huang, Junbing
    Liu, Chuanhui
    Chen, Shuxing
    Huang, Xin
    Hao, Yu
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 668 : 685 - 695