Impacts of Urbanization and Technology on Carbon Dioxide Emissions of Yangtze River Economic Belt at Two Stages: Based on an Extended STIRPAT Model

被引:19
|
作者
Liu, Yiping [1 ]
Han, Yuling [1 ,2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 211106, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Coll Management, Nanjing 210003, Peoples R China
关键词
carbon dioxide emissions; STIRPAT; economic urbanization; energy intensity; CO2; EMISSIONS; ENERGY-CONSUMPTION; GROWTH; PANEL; CHINA; COUNTRIES; IPAT;
D O I
10.3390/su13137022
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the Yangtze River Economic Belt (YREB), one of the most important challenges at present is to promote green, low-carbon development. This study attempted to explore the impact of different dimensions of urbanization and technology on CO2 emissions at different stages in YREB by using an extended STIRPAT model on provincial panel data from 2000 to 2017. To examine the change differences based on the different effects of urbanization and technology on CO2 emissions, we divided the total study period into two stages according to the change trends of CO2 emissions and considered the YREB as a whole as well as the lower, middle, and upper reaches individually. The main findings are as follows. First, an inverted U relationship was found between economic urbanization and CO2 emissions for the entire study period along with the period of a rapid rise in CO2 emissions (Stage I) only in YREB and the upper reaches, while in the stable change period (Stage II), the inverted U relationship existed in the upper and lower reaches. An inverted U relationship between technology and CO2 emissions was only found in the middle reaches for Stage I and in the middle and lower reaches for Stage II. Second, during the entire study period, economic urbanization had the greatest inhibitory effect on carbon dioxide emissions, followed by energy intensity and population urbanization; during Stage I, the main reduction factors were economic urbanization and energy intensity, and population urbanization had a non-significant impact. Third, per capita gross domestic product (GDP) and population size had a positive impact on CO2 emission increases. Specifically, during Stage II, the fitting effect was not good (R-2 is 0.3948), and the whole formula was not significant. In lower reaches, the economic urbanization had a positive impact at Stage I, the energy intensity had a rebound effect and per capita GDP had a non-significant impact at Stage II.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Spatial correlation between producer services agglomeration and carbon emissions in the Yangtze River Economic Belt based on point-of-interest
    Peng Zeng
    Lingjie Shang
    Mengkun Xing
    Scientific Reports, 13
  • [42] Dynamic Impacts of Economic Growth, Renewable Energy Use, Urbanization, and Tourism on Carbon Dioxide Emissions in Argentina
    Raihan, Asif
    Muhtasim, Dewan Ahmed
    Pavel, Monirul Islam
    Faruk, Omar
    Rahman, Mostafizur
    ENVIRONMENTAL PROCESSES-AN INTERNATIONAL JOURNAL, 2022, 9 (02):
  • [43] Dynamic Impacts of Economic Growth, Renewable Energy Use, Urbanization, and Tourism on Carbon Dioxide Emissions in Argentina
    Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi
    43600, Malaysia
    不详
    43600, Malaysia
    不详
    43600, Malaysia
    Environ. Process., 2
  • [44] Dynamic Impacts of Economic Growth, Renewable Energy Use, Urbanization, and Tourism on Carbon Dioxide Emissions in Argentina
    Asif Raihan
    Dewan Ahmed Muhtasim
    Monirul Islam Pavel
    Omar Faruk
    Mostafizur Rahman
    Environmental Processes, 2022, 9
  • [45] Analysis on the Temporal and Spatial Heterogeneity of Factors Affecting Urbanization Development Based on the GTWR Model: Evidence from the Yangtze River Economic Belt
    Ma, Wenbo
    Tian, Weiteng
    Zhou, Qian
    Miao, Qianqian
    COMPLEXITY, 2021, 2021
  • [46] Research on the impact of regional integration policy on carbon emissions-Taking the Yangtze River Economic Belt as an example
    Xu, Yuxing
    Cui, Muhua
    PLOS ONE, 2024, 19 (05):
  • [47] Mechanisms and effects of the upgrading of consumption structure on household carbon emissions -evidence from the yangtze river economic belt
    Wang, Linzhu
    Zhang, Runzi
    Geng, Weina
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2025, 374
  • [48] The coordinated development of manufacturing industry and logistics industry in the Yangtze River Economic Belt: Empirical study by stages based on Haken Model
    Du, Wei
    Yang, Yachen
    PLOS ONE, 2022, 17 (02):
  • [49] Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China
    Li, Weisong
    Wang, Zhenwei
    Mao, Zhibin
    Cui, Jiaxing
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2023, 20 (01)
  • [50] Mechanism and Empirical Evidence of Green Taxation Influencing Carbon Emissions in China's Yangtze River Economic Belt
    Fang, Xingcun
    Wei, Mengting
    Huang, Wei-Chiao
    SUSTAINABILITY, 2023, 15 (20)