Sector linkages and driving forces of Chinese household CO2 emissions based on semi-closed input-output model

被引:7
作者
Pang, Qinghua [1 ]
Dong, Xianwei [1 ]
Peng, Sha [2 ,3 ]
Zhang, Lina [1 ]
机构
[1] Hohai Univ, Business Sch, Changzhou 213022, Peoples R China
[2] Guangdong Univ Technol, Sch Ecol Environm & Resources, Key Lab City Cluster Environm Safety & Green Dev, Minist Educ, Guangzhou 510006, Peoples R China
[3] Hubei Univ Econ, Ctr Hubei Cooperat Innovat Emiss Trading Syst, Res Ctr Hubei Financial Dev & Financial Secur, Sch Low Carbon Econ, Wuhan 430205, Peoples R China
关键词
Household CO2 emissions; Semi-closed environmentally extended IO; Index of sensitivity of dispersion; Structural decomposition analysis; STRUCTURAL DECOMPOSITION ANALYSIS; AGGREGATE EMBODIED ENERGY; EMBEDDED CARBON EMISSIONS; EMPIRICAL-ANALYSIS; PATH-ANALYSIS; SUPPLY CHAIN; CONSUMPTION; URBANIZATION; IMPACTS; DRIVERS;
D O I
10.1007/s11356-021-18039-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
For decades, the rapid urbanization and economic development in China inevitably lead to the increase of household energy demand and CO2 emissions. Existing studies regard the household sector as an exogenous sector unrelated to production, ignoring that the wages, goods, and services provided by production sectors will affect the consumption of the household sector. This paper analyzes the impact of the household sector on production sectors and the total CO2 emissions by establishing a semi-closed environmentally extended input-output model in China from 2007 to 2017. Through the calculation of index of the power of dispersion and index of sensitivity of dispersion, the index of sensitivity of dispersion of household is large, and household has push to several sectors' CO2 emissions. Furthermore, we explore the drivers of China's household CO2 emissions using structural decomposition analysis and claim that consumption per capita and urbanization rate are the dominant factors driving household CO2 emissions, while carbon intensity and economic structure are the main factors inhibiting household CO2 emissions. Our research shows a clear picture of sector linkages and driving forces of household CO2 emissions, providing strong evidence for the development of China's household CO2 reduction policies.
引用
收藏
页码:35408 / 35421
页数:14
相关论文
共 50 条
  • [31] How can Chinese metropolises drive global carbon emissions? Based on a nested multi-regional input-output model for China
    Jiang, Mingdong
    Huang, Yumeng
    Bai, Yang
    Wang, Qi
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 856
  • [32] Assessing energy-related CO2 emissions with sensitivity analysis and input-output techniques
    Angel Tarancon, Miguel
    Del Rio, Pablo
    ENERGY, 2012, 37 (01) : 161 - 170
  • [33] Sharing CO2 abatement costs in the iron and steel sector: A shared responsibility input-output approach
    Imada, Seiya
    ECOLOGICAL ECONOMICS, 2025, 230
  • [34] Empirical Assessment for Driving Forces of CO2 Emissions: Application of STIRPART Model on the Leading ASEAN Countries
    Tiawon, Harin
    Irawan
    Miar
    CONTEMPORARY ECONOMICS, 2020, 14 (04) : 450 - 462
  • [35] An Analysis Based on SD Model for Energy-Related CO2 Mitigation in the Chinese Household Sector
    Chen, Xingpeng
    Wang, Guokui
    Guo, Xiaojia
    Fu, Jinxiu
    ENERGIES, 2016, 9 (12)
  • [36] Study of CO2 emissions in China's iron and steel industry based on economic input-output life cycle assessment
    Li, Li
    Lei, Yalin
    Pan, Dongyang
    NATURAL HAZARDS, 2016, 81 (02) : 957 - 970
  • [37] Structural Decomposition Analysis of Japan’s Energy Transitions and Related CO2 Emissions in 2005–2015 Using a Hybrid Input-Output Table
    Tatsuki Ueda
    Environmental and Resource Economics, 2022, 81 : 763 - 786
  • [38] Cutting CO2 emissions through demand side regulation: Implications from multi-regional input-output linear programming model
    Liu, Nan
    Kang, Jidong
    Ng, Tsan Sheng
    Su, Bin
    FRONTIERS OF ENGINEERING MANAGEMENT, 2022, 9 (03) : 452 - 461
  • [39] Identifying the driving forces of CO2 emissions of China's transport sector from temporal and spatial decomposition perspectives
    Zhang, Keyong
    Liu, Xianmei
    Yao, Jianming
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (17) : 17383 - 17406
  • [40] Structural Decomposition Analysis of Japan's Energy Transitions and Related CO2 Emissions in 2005-2015 Using a Hybrid Input-Output Table
    Ueda, Tatsuki
    ENVIRONMENTAL & RESOURCE ECONOMICS, 2022, 81 (04) : 763 - 786