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Analyzing the Impacts of Inter-Provincial Trade on the Quantitative and Spatial Characteristics of Six Embodied Air Pollutants in China Through Multi-Scenario Simulation

Author

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  • Tianfeng Zhou

    (School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China)

  • Cong Chen

    (School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China
    The Institute of Low Carbon Operations Strategy for Beijing Enterprises, Beijing 100083, China)

  • Cong Dong

    (Institute for Energy, Environment and Sustainable Communities, University of Regina, 3737 Wascana Parkway, Regina, SK S4S 0A2, Canada)

  • Qinghua Li

    (School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China)

Abstract

Inter-provincial trade is accompanied by the transfer of embodied pollution emissions, leading to emissions leakage, thereby hindering the sustainable development of society. Therefore, it is imperative to analyze the characteristics of embodied pollutant emission and spatial transfer driven by inter-provincial trade. In this study, the quantitative and spatial characteristics of the six main embodied pollutants (i.e., SO 2 , NO X , CO, VOC, PM 2.5 , and PM 10 ) were analyzed by a hypothetical extraction method (HEM) and complex network analysis (CNA) under an input–output analysis (IOA) framework. Then, the row arrange series (RAS) method was employed to simulate the impacts of varying levels of trade intensity, economic growth rate, and technological progress on embodied pollutants and spatial-transfer characteristics. The major findings are as follows: (i) the increase in inter-provincial trade led to a corresponding rise in embodied pollutant emissions due to the relocation of production activities towards provinces with higher emission intensity. Excessive responsibility was assumed by provinces such as Shanxi and Hebei, engaging in production outsourcing for reducing pollutants. (ii) The macro direction of pollutant transfer paths was from the resource-rich northern and central provinces towards the trade-developed southern provinces. Sectors in the transfer path, such as the industry sectors of Shanxi, Guangdong, Henan, and the transport sector of Henan, exhibited high centrality and dominated pollutant transfer activities in the network. (iii) The industry sector, characterized by substantial energy consumption, was the predominant emitter of all pollutant production-based emissions, accounting for more than 40% of total emissions. This study is conducive to analyzing the impacts of inter-provincial trade on embodied pollutant emissions and developing emissions reduction policies considering equitable allocation of emissions responsibilities from both production and consumption perspectives.

Suggested Citation

  • Tianfeng Zhou & Cong Chen & Cong Dong & Qinghua Li, 2024. "Analyzing the Impacts of Inter-Provincial Trade on the Quantitative and Spatial Characteristics of Six Embodied Air Pollutants in China Through Multi-Scenario Simulation," Sustainability, MDPI, vol. 16(22), pages 1-30, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9915-:d:1520360
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    References listed on IDEAS

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    1. Maeno, Keitaro & Tokito, Shohei & Kagawa, Shigemi, 2022. "CO2 mitigation through global supply chain restructuring," Energy Economics, Elsevier, vol. 105(C).
    2. Jiamin Ou & Zhijiong Huang & Zbigniew Klimont & Guanglin Jia & Shaohui Zhang & Cheng Li & Jing Meng & Zhifu Mi & Heran Zheng & Yuli Shan & Peter K. K. Louie & Junyu Zheng & Dabo Guan, 2020. "Role of export industries on ozone pollution and its precursors in China," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    3. Huang, Li & Kelly, Scott & Shi, Xunpeng & Lv, Kangjuan & Lu, Xuan & Giurco, Damien, 2022. "Maximizing the effectiveness of carbon emissions abatement in China across carbon communities," Energy Economics, Elsevier, vol. 106(C).
    4. Quanliang Ye & Maarten S. Krol & Yuli Shan & Joep F. Schyns & Markus Berger & Klaus Hubacek, 2023. "Allocating capital-associated CO2 emissions along the full lifespan of capital investments helps diffuse emission responsibility," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    5. Duarte, Rosa & Sanchez-Choliz, Julio & Bielsa, Jorge, 2002. "Water use in the Spanish economy: an input-output approach," Ecological Economics, Elsevier, vol. 43(1), pages 71-85, November.
    6. Li, Rongrong & Wang, Qiang & Wang, Xuefeng & Zhou, Yulin & Han, Xinyu & Liu, Yi, 2022. "Germany's contribution to global carbon reduction might be underestimated – A new assessment based on scenario analysis with and without trade," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    7. Jing Meng & Zhifu Mi & Dabo Guan & Jiashuo Li & Shu Tao & Yuan Li & Kuishuang Feng & Junfeng Liu & Zhu Liu & Xuejun Wang & Qiang Zhang & Steven J. Davis, 2018. "The rise of South–South trade and its effect on global CO2 emissions," Nature Communications, Nature, vol. 9(1), pages 1-7, December.
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