Measurement and Spatial-Temporal Evolution Characteristics of Low-Carbon Cities with High-Quality Development: The Case Study of the Yangtze River Economic Belt, China

被引:4
|
作者
Yang, Haonan [1 ]
Chen, Liang [1 ]
Huang, Huan [2 ]
Tang, Panyu [1 ]
机构
[1] Chengdu Jincheng Coll, Sch Finance & Accounting, Chengdu 610097, Peoples R China
[2] Chengdu Univ Technol, Coll Business, Chengdu 610059, Peoples R China
基金
中国博士后科学基金;
关键词
low-carbon city; core drivers exploration; ensemble learning algorithm; spatial autocorrelation analysis; Yangtze River Economic Belt; DECISION-MAKING; CO2; EMISSIONS; HYDROGEN-PRODUCTION; ENERGY; DECOMPOSITION; GROWTH; REGION; GREEN; MCDM; CITY;
D O I
10.3390/su14159686
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Carrying out measurements of low-carbon city development levels and exploring their core driving factors are focuses of attention in the field of building sustainable low-carbon cities (LCC). Previous studies have mainly focused on the national or provincial level, ignoring the problem of heterogeneity among different cities, and the consideration of the influencing factors of low-carbon cities has not been comprehensive enough. Given this, the authors of this paper selected 107 cities in the Yangtze River Economic Belt from 2006 to 2019, constructed a general comprehensive index system for measuring the high-quality development level of low-carbon cities at the prefecture-level city level, and explored the spatial and temporal evolution trends and core drivers of the high-quality development level of low-carbon cities in the Yangtze River Economic Belt using the CRITIC-VIKOR method and an ensemble learning algorithm. The empirical results showed that most of the cities in the Yangtze River Economic Belt showed an overall upward trend in the level of high-quality development and a certain degree of "central collapse" in the spatial distribution. In addition, this paper further confirms that industrial structure is the most central driver of low-carbon urban development, the importance of urban carbon emissions and the level of science and technology innovation are gradually increasing, and a certain aggregation effect is formed in space that has led to a significant urban "siphon effect". These results provide new evidence on the spatial and temporal evolution of the high-quality development of low-carbon cities in China and can help authorities formulate more targeted policies and strategic plans to enhance the high-quality development of low-carbon cities.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Regional Differences and Spatial-Temporal Evolution Characteristics of Digital Economy Development in the Yangtze River Economic Belt
    Chen, Jiayi
    Hu, Chaozhu
    Luo, Youxi
    [J]. SUSTAINABILITY, 2024, 16 (10)
  • [2] Dynamic evolution and spatial-temporal disparities decomposition of high-quality economic development in China
    Wang, Deqing
    Xue, Shoucong
    Lu, Zhihao
    Zhou, Yuanhang
    Hou, Yiwen
    Guo, Mengxia
    [J]. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024, 26 (08) : 19491 - 19519
  • [3] Spatial-Temporal Evolution and Driving Factors of China's High-Quality Economic Development
    Yang, Tianhao
    Gu, Guofeng
    [J]. SUSTAINABILITY, 2023, 15 (23)
  • [4] What was the spatiotemporal evolution characteristics of high-quality development in China? A case study of the Yangtze River economic belt based on the ICGOS-SBM model
    Zhang, Fengtai
    Tan, Hongmei
    Zhao, Peng
    Gao, Lei
    Ma, Dalai
    Xiao, Yuedong
    [J]. ECOLOGICAL INDICATORS, 2022, 145
  • [5] What was the spatiotemporal evolution characteristics of high-quality development in China? A case study of the Yangtze River economic belt based on the ICGOS-SBM model
    Zhang, Fengtai
    Tan, Hongmei
    Zhao, Peng
    Gao, Lei
    Ma, Dalai
    Xiao, Yuedong
    [J]. Ecological Indicators, 2022, 145
  • [6] Analyzing Coupling Coordination of Pollution and Carbon Reduction with High-Quality Economic Development: A Case Study of China's Yangtze River Economic Belt
    Nie, Changfei
    Li, Ruyi
    Feng, Yuan
    [J]. SUSTAINABILITY, 2024, 16 (12)
  • [7] Synergy level of pollution and carbon reduction in the Yangtze River Economic Belt: Spatial-temporal evolution characteristics and driving factors
    Chen, Siying
    Tan, Zhixiong
    Mu, Siying
    Wang, Jiayi
    Chen, Yanyu
    He, Xingwang
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2023, 98
  • [8] Yangtze River Economic Belt Pursues High-Quality Development
    Wei Pengju
    Bai Yiwei
    [J]. 中国新闻发布(英文版), 2023, (12) : 31 - 33
  • [9] 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,
  • [10] 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