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:5
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.
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页数:23
相关论文
共 82 条
  • [51] Opricovic S, 2004, EUR J OPER RES, V156, P445, DOI [10.1016/S0377-2217(03)00020-1, 10.1016/s0377-2217(03)00020-1]
  • [52] Ecosystem health assessment based on ecological integrity and ecosystem services demand in the Middle Reaches of the Yangtze River Economic Belt, China
    Pan, Zhenzhen
    He, Jianhua
    Liu, Dianfeng
    Wang, Jianwei
    Guo, Xiaona
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 774 (774)
  • [53] Global and regional drivers of accelerating CO2 emissions
    Raupach, Michael R.
    Marland, Gregg
    Ciais, Philippe
    Le Quere, Corinne
    Canadell, Josep G.
    Klepper, Gernot
    Field, Christopher B.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (24) : 10288 - 10293
  • [54] Methodology and applications of city level CO2 emission accounts in China
    Shan, Yuli
    Guan, Dabo
    Liu, Jianghua
    Mi, Zhifu
    Liu, Zhu
    Liu, Jingru
    Schroeder, Heike
    Cai, Bofeng
    Chen, Yang
    Shao, Shuai
    Zhang, Qiang
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 161 : 1215 - 1225
  • [55] Song Jie, 2021, E3S Web of Conferences, V233, DOI 10.1051/e3sconf/202123301083
  • [56] Collaborative Allocation of Energy Consumption, Air Pollutants and CO2 Emissions in China
    Song, Jiekun
    Chen, Rui
    Ma, Xiaoping
    [J]. SUSTAINABILITY, 2021, 13 (16)
  • [57] Spatial Association and Effect Evaluation of CO2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis
    Song, Jinzhao
    Feng, Qing
    Wang, Xiaoping
    Fu, Hanliang
    Jiang, Wei
    Chen, Baiyu
    [J]. SUSTAINABILITY, 2019, 11 (01)
  • [58] The impact of low-carbon city construction on ecological efficiency: Empirical evidence from quasi-natural experiments
    Song, Malin
    Zhao, Xin
    Shang, Yuping
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2020, 157
  • [59] Impact of fiscal decentralization on green total factor productivity
    Song, Malin
    Du, Juntao
    Tan, Kim Hua
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2018, 205 : 359 - 367
  • [60] A Time for Action on Climate Change and a Time for Change in Economics
    Stern, Nicholas
    [J]. ECONOMIC JOURNAL, 2022, 132 (644) : 1259 - 1289