Simulation Analysis of Factors Affecting Energy Carbon Emissions in Fujian Province

被引:6
|
作者
Lin, Xianjin [1 ]
Lin, Xiaoyan [1 ]
Zhang, Jun [1 ]
He, Qionge [1 ]
Yan, Pengyu [1 ]
机构
[1] Fujian Univ Technol, Sch Management, Fuzhou 350118, Peoples R China
关键词
STIRPAT model; carbon intensity; Markov transfer matrix; ridge regression; simulation analysis; CO2; EMISSIONS; URBANIZATION; CONSUMPTION; POPULATION; IMPACT;
D O I
10.3390/su142113757
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China's goal of reaching peak carbon by 2030 and carbon neutrality by 2060 has been a popular research topic in recent years. Carbon peaking and carbon neutrality goals are solemn commitments made by the Chinese government to the international community. As a national ecological civilization demonstration area, Fujian province has incorporated peak carbon and carbon neutrality into its overall ecological construction plans. This paper uses the scalable stochastic environmental impact assessment model STIRPAT to quantitatively analyze the relationship between carbon emission intensity and economy, population, energy intensity, energy structure, and industrial structure in Fujian Province from 2001 to 2020, and it uses a Markov transition matrix to predict the ratio of energy structure in the next four years. On the basis of the above-mentioned research, combined with the provincial ecological planning outlined in the 14th Five-Year Plan of Fujian Province, three development modes (i.e., the general mode, the energy-saving mode, and the energy consumption mode) are proposed. Finally, according to the model, this paper predicts that the carbon intensity goal of 2025 can be achieved under the general and energy saving modes, while the carbon intensity goal cannot be reached under the energy consumption mode.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Analysis of the decomposition of factors affecting energy-related carbon emissions in Guangxi province, China
    Zhou, Huijie
    Zou, Yi
    Kuang, Yaoqiu
    Huang, Ningsheng
    Wang, Wenxiu
    Wang, Dehui
    INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2017, 46 (02) : 229 - 244
  • [2] Accounting and driving factors analysis of energy carbon emissions in Heilongjiang Province
    Liu, Hao-Dong
    Qiu, Wei
    Chen, Shuang
    Zhongguo Huanjing Kexue/China Environmental Science, 2024, 44 (07): : 4117 - 4126
  • [3] Study on the Decomposition of Factors Affecting Energy-Related Carbon Emissions in Guangdong Province, China
    Wang, Wenxiu
    Kuang, Yaoqiu
    Huang, Ningsheng
    ENERGIES, 2011, 4 (12) : 2249 - 2272
  • [4] Analysis of factors affecting carbon emissions in Tianjin
    Zhao, Xuan
    2ND INTERNATIONAL CONFERENCE ON AIR POLLUTION AND ENVIRONMENTAL ENGINEERING, 2020, 450
  • [5] The relationship between agricultural and animal husbandry economic development and carbon emissions in Henan Province, the analysis of factors affecting carbon emissions, and carbon emissions prediction
    Wei, Zhengqi
    Wei, Keke
    Liu, Jincheng
    Zhou, Yizhuang
    MARINE POLLUTION BULLETIN, 2023, 193
  • [6] The Analysis of the Changes in Direct Life Energy Carbon Emissions Factors in Zhejiang Province
    Wu, Zhihao
    Wang, Chengjun
    2013 INTERNATIONAL CONFERENCE ON MANAGEMENT (ICM 2013), 2013, : 1068 - 1075
  • [7] Influencing factors and spatial patterns of energy-related carbon emissions at the city-scale in Fujian province, Southeastern China
    Su, Kai
    Wei, Dao-zhi
    Lin, Wen-xiong
    JOURNAL OF CLEANER PRODUCTION, 2020, 244
  • [8] An Empirical Analysis of the Impact of Urbanization and Consumption Structure Upgrading on Carbon Emissions in Fujian Province
    LUO Dongshen
    CHEN Juan
    Chinese Journal of Urban and Environmental Studies, 2024, 12 (02) : 64 - 87
  • [9] An Empirical Analysis of the Impact of Urbanization and Consumption Structure Upgrading on Carbon Emissions in Fujian Province
    Luo, Dongshen
    Chen, Juan
    CHINESE JOURNAL OF URBAN AND ENVIRONMENTAL STUDIES, 2024, 12 (02)
  • [10] Probing the affecting factors and decoupling analysis of energy industrial carbon emissions in Liaoning, China
    Wen, Lei
    Zhang, Zhiqun
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (14) : 14616 - 14626