The effects of structural and technical change on China's industrial CO2 emissions pathways under uncertainty

被引:1
|
作者
Zhou, Wenji [1 ]
Ren, Hongtao [2 ]
Zhang, Chenfeng [2 ]
Yu, Yadong [2 ]
Cheng, Yunfei [3 ]
Hu, Xiangping [4 ]
Zhu, Bing [5 ,6 ]
机构
[1] Renmin Univ China, Sch Appl Econ, Beijing 100872, Peoples R China
[2] East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China
[3] Ind & Commercial Bank Peoples Republ China, Beijing, Peoples R China
[4] Norwegian Univ Sci & Technol NTNU, Dept Energy & Proc Engn, Trondheim, Norway
[5] Tsinghua Univ, Dept Chem Engn, Beijing, Peoples R China
[6] Int Inst Appl Syst Anal IIASA, Energy Climate & Environm Program, Laxenburg, Austria
基金
中国国家自然科学基金;
关键词
Industrial CO2 emissions; structural change; nonparametric additive model; decomposition analysis; uncertainty; DECOMPOSITION ANALYSIS; ENERGY-CONSUMPTION; IMPACT FACTORS; STIRPAT MODEL; CITY-LEVEL; POPULATION; REGRESSION; SCENARIOS; ACHIEVE;
D O I
10.1080/14693062.2022.2147130
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The industrialization process in China has resulted in the fast growth of the country's energy consumption and CO2 emissions. Examining the effects of industrial structural change on the emissions pathways in the mid-term future would help advance understanding of how industrial policy choices affect the fulfillment of the strategic climate targets of emissions peaking and carbon neutrality. This study couples index decomposition analysis (IDA) with an additive nonparametric regression model to project the possible emissions pathways with different industrial structures. It develops a set of scenarios following the storylines of shared socioeconomic pathways (SSPs) to examine these effects in an uncertain environment towards 2040. The results show that structural change has played an increasing role in curbing carbon emissions of China's industrial sectors since 2000. The CO2 emissions reductions attributable to this effect were 686 million tons (Mton CO2) between 2000 and 2013, and these contributions to emission mitigation rose to 798 Mton between 2014 and 2019. The scenario results suggest that the aggregated effect of energy efficiency and structure upgrades will decrease emissions by 43% in 2040 relative to the level in 2019 in the ideal case. Regardless of the uncertainties in scenario settings, heavy industry will continue to dominate China's industrial emissions through 2040. Nevertheless, a significant structural change with an increased share of high-tech industries, such as information and communication technology, could lead to more than a 30% reduction in emissions compared to cases with more minor changes in this sub-sector.Key Policy InsightsA rapid expansion of heavy industry is the primary factor driving the rapid growth of China's industrial CO2 emissions since 2000. Industrial structural change is the second most significant factor curbing emissions growth, and the influence of this factor is increasing.Keeping up the momentum of structural change and technological upgrades in the industrial sector would make it possible for industry emissions to decrease in the medium-term future, therefore contributing substantially to China's goal of peaking its CO2 emissions by 2030.Realizing carbon neutrality in the longer term necessitates not only structural change in industry, but also a fundamental transformation of the energy supply system.
引用
收藏
页码:285 / 299
页数:15
相关论文
共 50 条
  • [41] Structural decline in China’s CO2 emissions through transitions in industry and energy systems
    Dabo Guan
    Jing Meng
    David M. Reiner
    Ning Zhang
    Yuli Shan
    Zhifu Mi
    Shuai Shao
    Zhu Liu
    Qiang Zhang
    Steven J. Davis
    Nature Geoscience, 2018, 11 : 551 - 555
  • [42] Impact of population aging and industrial structure on CO2 emissions and emissions trend prediction in China
    Yu, Yang
    Deng, Yu-ru
    Chen, Fei-fan
    ATMOSPHERIC POLLUTION RESEARCH, 2018, 9 (03) : 446 - 454
  • [43] Spatial–temporal characteristics and decoupling effects of China’s transportation CO2 emissions
    Jie Cai
    Shuyue Ma
    Hongmei Ji
    Wenyue Jiang
    Zhongrong Bai
    Environmental Science and Pollution Research, 2023, 30 : 32614 - 32627
  • [44] Exploration of China's net CO2 emissions evolutionary pathways by 2060 in the context of carbon neutrality
    Li, Wei
    Zhang, Shuohua
    Lu, Can
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 831
  • [45] The Effects of International Trade on Structural Convergence and CO2 Emissions
    Michael Hübler
    Eduard Bukin
    Yuting Xi
    Environmental and Resource Economics, 2022, 83 : 579 - 604
  • [46] The Effects of International Trade on Structural Convergence and CO2 Emissions
    Huebler, Michael
    Bukin, Eduard
    Xi, Yuting
    ENVIRONMENTAL & RESOURCE ECONOMICS, 2022, 83 (03): : 579 - 604
  • [47] Uncertainty in gridded CO2 emissions estimates
    Hogue, Susannah
    Marland, Eric
    Andres, Robert J.
    Marland, Gregg
    Woodard, Dawn
    EARTHS FUTURE, 2016, 4 (05): : 225 - 239
  • [48] The effects of urbanization and urban sprawl on CO2 emissions in China
    Zhonghua Cheng
    Xiaowen Hu
    Environment, Development and Sustainability, 2023, 25 : 1792 - 1808
  • [49] Heterogeneous Spatial Effects of FDI on CO2 Emissions in China
    Lin, Hang
    Wang, Xingyu
    Bao, Ge
    Xiao, Huijuan
    EARTHS FUTURE, 2022, 10 (01)
  • [50] The effects of urbanization and urban sprawl on CO2 emissions in China
    Cheng, Zhonghua
    Hu, Xiaowen
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2023, 25 (02) : 1792 - 1808