Tracing production carbon emission transfer through global value chains: Towards a top gainer principle

被引:9
|
作者
Zheng, Zhi [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
[3] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res IGSNRR, 11A Datun Rd, Beijing 100101, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Carbon emission; Transfer; Responsibility; Method innovation; Global value chains; Spatiotemporal evolution; INTERNATIONAL-TRADE; CLIMATE-CHANGE; RESPONSIBILITY; CONSUMPTION; IMPORTS; JAPAN;
D O I
10.1016/j.scitotenv.2022.161316
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study proposes the top gainer principle (TGP) and builds a calculation model based on the TGP to measure pro-duction carbon emissions transfer (PCET) in the context of global value chains. Compared with embodied carbon re-search, the innovative TGP model establishes a traceability mechanism based on the difference between responsibility and actual emissions from the perspective of the value chain, avoiding the endless debate between pro-ducer and consumer responsibility, which makes the TGP model more reasonable and fairer. In addition, using long-term input-output data, this study measures spatiotemporal patterns and the network evolution of global PCET. The results show that the total amount of global PCET has increased, and the regions with high outflows of PCET mainly include East Asia, North America, Central and Western Europe, and Russia. Among these regions, the United States and China accounted for the largest proportion of PCET outflow. By contrast, South America and Africa are typical low-outflow regions. From North America via central Europe, Turkey, Iran, South Asia to China, is a "W"-shaped high net outflow belt. The overall concentration of the global PCET network first decreased and then increased, and the network structure evolved into a bipolar network group with China and the United States as the core. Under the shock of the COVID-19 pandemic, the network structure showed a trend towards decentralization. This study suggests that efforts should be made to strengthen the responsibility of major countries, enhance the supervision of lead firms, establish a carbon emission transfer compensation system within value chains, and promote the development and spread of carbon emission reduction technologies to facilitate the reduction of global carbon emissions.
引用
收藏
页数:11
相关论文
共 22 条
  • [1] Does the Participation Degree in Global Value Chains Influence Carbon Emission Transfer Through International Trade in Belt and Road Countries?
    Ali, Muhammad Uzair
    Wang, Ying
    [J]. FOREIGN TRADE REVIEW, 2024, 59 (03) : 369 - 388
  • [2] Tracking Transfer of Carbon Dioxide Emissions to Countries along the Silk Roads Through Global Value Chains
    ZHANG Guangyuan
    ZHENG Zhi
    WUZHATI Yeerken
    [J]. Chinese Geographical Science, 2022, 32 (04) : 549 - 562
  • [3] Tracking Transfer of Carbon Dioxide Emissions to Countries along the Silk Roads Through Global Value Chains
    Zhang Guangyuan
    Zheng Zhi
    Wuzhati, Yeerken
    [J]. CHINESE GEOGRAPHICAL SCIENCE, 2022, 32 (04) : 549 - 562
  • [4] Tracking Transfer of Carbon Dioxide Emissions to Countries along the Silk Roads Through Global Value Chains
    Guangyuan Zhang
    Zhi Zheng
    Yeerken Wuzhati
    [J]. Chinese Geographical Science, 2022, 32 : 549 - 562
  • [5] Global transfer of embodied energy: From source to sink through global value chains
    Pan, An
    Xiao, Ting
    Dai, Ling
    Shi, Xunpeng
    [J]. SUSTAINABLE PRODUCTION AND CONSUMPTION, 2022, 31 (39-51) : 39 - 51
  • [6] Complex network analysis of carbon emission transfers under global value chains
    Wang, Yanfang
    Yao, Jingmin
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (31) : 47673 - 47695
  • [7] Complex network analysis of carbon emission transfers under global value chains
    Yanfang Wang
    Jingmin Yao
    [J]. Environmental Science and Pollution Research, 2022, 29 : 47673 - 47695
  • [8] The structural change and influencing factors of carbon transfer network in global value chains
    Pan, An
    Xiao, Ting
    Dai, Ling
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 318
  • [9] Global value chains and carbon emission efficiency: evidence from 30 provinces in China
    Zhao, Yubin
    Liu, Shuguang
    [J]. APPLIED ECONOMICS, 2024,
  • [10] Correction to: Complex network analysis of carbon emission transfers under global value chains
    Yanfang Wang
    Jingmin Yao
    [J]. Environmental Science and Pollution Research, 2022, 29 : 65886 - 65886