Carbon emissions and drivers across five urban agglomerations of China: Comparison between the 12th and 13th Five-Year Plan periods

被引:1
|
作者
Si, Jingjing [1 ,2 ]
Li, Yongjian [3 ]
Zhao, Congyu [3 ,4 ]
Zhan, Hongbin [5 ]
Zhang, Shizhuang [6 ]
Zhang, Lin [3 ,7 ,8 ]
机构
[1] Xian Univ Technol, Sch Econ & Management, Xian 710054, Peoples R China
[2] China Univ Geosci, Sch Econ & Management, Wuhan 430078, Peoples R China
[3] Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, England
[4] Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R China
[5] Texas A&M Univ, Dept Geol & Geophys, College Stn, TX 77843 USA
[6] South Cent Minzu Univ, Sch Econ, Wuhan 430074, Peoples R China
[7] China Univ Geosci, Sch Environm Studies, Wuhan 430078, Peoples R China
[8] Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg, Xian 710048, Peoples R China
关键词
Carbon emissions; Urban agglomerations; Five Year Plan; Driving factors; Spatial autocorrelation; Spatial regression models; PEARL RIVER DELTA; CO2; EMISSIONS; SPATIAL REGRESSION; ENERGY; URBANIZATION; REDUCTION; IMPACT; PANEL; CITY; EXTERNALITIES;
D O I
10.1007/s00477-024-02819-8
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Five national-level urban agglomerations in China, namely the Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), middle reaches of the Yangtze River (MRYR), Pearl River Delta (PRD), and Chengdu-Chongqing (CY), have undergone rapid economic development, accompanied by a surge in carbon emissions. Notably, there exists a gap in existing research that hinders comprehensive comparative studies on the carbon emissions of these urban agglomerations during the 12th and 13th Five-Year Plan periods, respectively. In this study, we comparatively analyze the spatiotemporal characteristics and spatial clustering characteristics of carbon emissions and their driving factors across the five urban agglomerations during the 12th and 13th Five-Year Plan periods using spatial autocorrelation and multiple spatial econometric models. The main results are as follows: firstly, the total carbon emissions across the YRD are the highest, while the average carbon emissions in BTH are higher than those across other urban agglomerations. Secondly, during the 12th Five-Year Plan period, the main related socioeconomic factors for carbon emissions of the BTH, PRD, YRD, MRYR and CY are per capita GDP, general public budget expenditure, urbanization rate, population density, and industrial structure, respectively. Thirdly, during the 13th Five-Year Plan period, industrial structure have a close link with carbon emissions across BTH and MRYR; the carbon emissions across PRD have close correlations with urbanization rate and general public budget expenditures; across YRD and CY, the key associated driver was the general public budget expenditures. All in all, these findings offer valuable insights for shaping effective emission reduction policies tailored to the unique characteristics of each urban agglomeration.
引用
收藏
页码:4577 / 4593
页数:17
相关论文
共 43 条
  • [41] Quantifying co-benefit potentials in the Chinese cement sector during 12th Five Year Plan: an analysis based on marginal abatement cost with monetized environmental effect
    Xi, Yang
    Fei, Teng
    Gehua, Wang
    JOURNAL OF CLEANER PRODUCTION, 2013, 58 : 102 - 111
  • [42] Quantitative Evaluation of China's Energy Transition Policy Since the 14th Five-Year Plan, Based on the MLP-PMC Model
    Chang, Yukun
    Zou, Tong
    Guo, Pibin
    ENERGIES, 2024, 17 (23)
  • [43] The Modeling Study about Impacts of Emission Control Policies for Chinese 14th Five-Year Plan on PM2.5 and O3 in Yangtze River Delta, China
    Li, Zhen
    Yu, Shaocai
    Li, Mengying
    Chen, Xue
    Zhang, Yibo
    Song, Zhe
    Li, Jiali
    Jiang, Yaping
    Liu, Weiping
    Li, Pengfei
    Zhang, Xiaoye
    ATMOSPHERE, 2022, 13 (01)