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
  • [31] Factors Affecting the Energy Demand in Jilin Province and Energy Development Suggestions
    Qu Chunyan
    2011 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE (ICMI 2011), PT 2, 2011, 4 : 112 - 116
  • [32] Driving factors and decoupling analysis of carbon emissions from energy consumption in high energy-consuming regions: a case study of Liaoning province
    Feng, Dongmei
    Yan, Chenyang
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 12
  • [33] Energy Consumption and Carbon Emissions: Analysis and Prediction-The Case of Hebei Province in China
    Niu Xiaogeng
    Niu Jiangao
    Men Dan
    2010 INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND DEVELOPMENT (ICEED2010), 2011, 5 : 2271 - 2277
  • [34] Research on Influence Factors of Carbon Emissions and Forecast in Hebei Province
    Zhao, Huining
    Yu, Weiyang
    ENVIRONMENTAL PROTECTION AND RESOURCES EXPLOITATION, PTS 1-3, 2013, 807-809 : 790 - 794
  • [35] Factors affecting the pilot trading market of carbon emissions in China
    Yong Jiang
    Ya-Lin Lei
    Yong-Zhi Yang
    Fang Wang
    Petroleum Science, 2018, 15 (02) : 412 - 420
  • [36] Factors affecting the pilot trading market of carbon emissions in China
    Jiang, Yong
    Lei, Ya-Lin
    Yang, Yong-Zhi
    Wang, Fang
    PETROLEUM SCIENCE, 2018, 15 (02) : 412 - 420
  • [37] Calculation and Analysis of Carbon Emission of Farmers' Agricultural Land Utilization in Fujian Province
    Chen, Qin-Ping
    Yang, Jian-Zhou
    INTERNATIONAL CONFERENCE ON ECONOMICS, MANAGEMENT ENGINEERING AND MARKETING (EMEM 2017), 2017, : 69 - 74
  • [38] CO2 emissions from industrial sector in Fujian Province, China: A decomposition analysis
    Liu, Zheng
    Zheng, Guanling
    Ye, Zhinan
    Gao, Panfeng
    2018 INTERNATIONAL CONFERENCE ON AIR POLLUTION AND ENVIRONMENTAL ENGINEERING (APEE 2018), 2018, 208
  • [39] Export capacity impact factors on Chinese SMEs A survey analysis of Fujian Province
    Su, Liping
    Adams, John
    JOURNAL OF CHINESE ECONOMIC AND FOREIGN TRADE STUDIES, 2010, 3 (01) : 54 - 70
  • [40] A barrier analysis for the development of distributed energy in China: A case study in Fujian province
    Liu, Jian
    Wang, Run
    Sun, Yanwei
    Lin, Yanjie
    Xiao, Lishan
    ENERGY POLICY, 2013, 60 : 262 - 271