Factors Driving China's Carbon Emissions after the COVID-19 Outbreak

被引:14
作者
Sun, Xinlu [1 ]
Mi, Zhifu [1 ]
机构
[1] UCL, Bartlett Sch Sustainable Construct, London WC1E 7HB, England
基金
英国科研创新办公室;
关键词
CO2; emissions; input-output analysis; structural decomposition analysis; pandemic impacts; green recovery; STRUCTURAL DECOMPOSITION ANALYSIS; ENERGY; INTENSITY; IMPACT;
D O I
10.1021/acs.est.3c03802
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The outbreak of the coronavirus disease 2019 (COVID-19) may exert profound impacts on China's carbon emissions via structural changes. Due to a lack of data, previous studies have focused on quantifying the changes in carbon emissions but have failed to identify structural changes in the determinants of carbon emissions. Here, we use China's latest input-output table and apply structural decomposition analyses to understand the dynamic changes in the determinants of carbon emissions from 2012 to 2020, specifically the impact of COVID-19 on carbon emissions. We find that final demand per capita contributed to emissions growth at a slower pace, but production structure drove a greater carbon emissions increase than before the pandemic. Export-led emissions growth rebounded, and investment-led emissions were more concentrated in the construction sector. The carbon intensity of several heavy industries increased, e.g., the nonmetallic products sector, the metal products sector, and the petroleum, coking, and nuclear fuel sector. In addition, lower production efficiency and increased reliance on carbon-intensive inputs indicated a deterioration in production structure. For policy implications, efforts should be undertaken to increase investment in low-carbon industries and increase the proportion of consumption in GDP to shift investment-led growth to consumption-led growth for an inclusive and green recovery from the pandemic.
引用
收藏
页码:19125 / 19136
页数:12
相关论文
共 56 条
  • [1] The real economic costs of COVID-19: Insights from electricity consumption data in Hunan Province, China
    Ai, Hongshan
    Zhong, Tenglong
    Zhou, Zhengqing
    [J]. ENERGY ECONOMICS, 2022, 105
  • [2] [Anonymous], EXPORTS GOODS SERVIC
  • [3] Intermediate inputs and economic productivity
    Baptist, Simon
    Hepburn, Cameron
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2013, 371 (1986):
  • [4] BloombergNEF, 2023, New Energy Outlook China
  • [5] Buendia E., 2019, 2019 Refinement to the 2006 IPCC Guidelinesfor National Greenhouse Gas Inventories
  • [6] Energy-socio-economic-environmental modelling for the EU energy and post-COVID-19 transitions
    Cazcarro, Ignacio
    Garcia-Gusano, Diego
    Iribarren, Diego
    Linares, Pedro
    Carlos Romero, Jose
    Arocena, Pablo
    Arto, Inaki
    Banacloche, Santacruz
    Lechon, Yolanda
    Javier Miguel, Luis
    Zafrilla, Jorge
    Lopez, Luis-Antonio
    Langarita, Raquel
    Cadarso, Maria-Angeles
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 805
  • [7] The Impact of the COVID-19 Pandemic on Consumption: Learning from High-Frequency Transaction Data
    Chen, Haiqiang
    Qian, Wenlan
    Wen, Qiang
    [J]. AEA PAPERS AND PROCEEDINGS, 2021, 111 : 307 - 311
  • [8] Dietzenbacher E., 1998, ECON SYST RES, V10, P307, DOI [DOI 10.1080/09535319800000023, 10.1080/09535319800000023]
  • [9] Eggleston H. S., 2006, IPCC GUIDELINES NATL
  • [10] Global supply-chain effects of COVID-19 control measures
    Guan, Dabo
    Wang, Daoping
    Hallegatte, Stephane
    Davis, Steven J.
    Huo, Jingwen
    Li, Shuping
    Bai, Yangchun
    Lei, Tianyang
    Xue, Qianyu
    Coffman, D'Maris
    Cheng, Danyang
    Chen, Peipei
    Liang, Xi
    Xu, Bing
    Lu, Xiaosheng
    Wang, Shouyang
    Hubacek, Klaus
    Gong, Peng
    [J]. NATURE HUMAN BEHAVIOUR, 2020, 4 (06) : 577 - 587