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Changes of production and consumption structures in coastal regions lead to mercury emission control in China

Author

Listed:
  • Qiumeng Zhong
  • Hui Li
  • Sai Liang
  • Jetashree
  • Xiaohui Wu
  • Jianchuan Qi
  • Shuxiao Wang

Abstract

China is important in the global mercury (Hg) cycle and is experiencing substantial economic structure transitions. There are pronounced differences in economic development, industrial structure, and consumption patterns across regions in China. However, the impacts of regional economic structure transitions (i.e., production and final demand structures) on Hg emissions in China remain unknown. Here, we reveal the transboundary impacts of changes in regional economic structures on provincial Hg emissions in China. We found that the transitions of production and final demand structures in coastal regions led to Hg emission reductions in China during 2007–2017. In particular, production structure changes in East Coast contributed to 36 metric tons of national Hg emission reduction, where 28 metric tons occurred in other regions (especially Hebei). Its final demand structure transition contributed to 19 metric tons of national emission reduction, where 15 metric tons occurred in other regions (especially Henan). Unfortunately, production structure changes in Northwest and final demand structure changes in Southwest contributed to Hg emission increments in China during 2007–2017. For instance, changes in the final demand structure of Southwest caused 34 metric tons of emission increments, mainly from provinces within the region. Thus, spatially explicit measures for China's Hg emission control can focus on the optimizations of production structure in Northwest and final demand structure in Southwest, as well as the promotion of interregional joint actions between East Coast and North China (especially Hebei and Henan). The findings of this study can inform region‐specific policy decisions and interregional joint efforts to control Hg emissions around the world.

Suggested Citation

  • Qiumeng Zhong & Hui Li & Sai Liang & Jetashree & Xiaohui Wu & Jianchuan Qi & Shuxiao Wang, 2022. "Changes of production and consumption structures in coastal regions lead to mercury emission control in China," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1760-1770, October.
    • Handle: RePEc:bla:inecol:v:26:y:2022:i:5:p:1760-1770
    DOI: 10.1111/jiec.13314
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    References listed on IDEAS

    as
    1. Zhang, Yongping & Mi, Zhifu, 2018. "Environmental benefits of bike sharing: A big data-based analysis," Applied Energy, Elsevier, vol. 220(C), pages 296-301.
    2. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    3. Kehan He & Zhifu Mi & Long Chen & D'Maris Coffman & Sai Liang, 2021. "Critical transmission sectors in embodied atmospheric mercury emission network in China," Journal of Industrial Ecology, Yale University, vol. 25(6), pages 1644-1656, December.
    4. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    5. Tong, Tingting & Yu, T. Edward, 2018. "Transportation and economic growth in China: A heterogeneous panel cointegration and causality analysis," Journal of Transport Geography, Elsevier, vol. 73(C), pages 120-130.
    6. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.
    7. Rose, A. & Chen, C. Y., 1991. "Sources of change in energy use in the U.S. economy, 1972-1982 : A structural decomposition analysis," Resources and Energy, Elsevier, vol. 13(1), pages 1-21, April.
    8. Jiansuo Pei & Jan Oosterhaven & Erik Dietzenbacher, 2017. "Foreign exports, net interregional spillovers and Chinese regional supply chains," Papers in Regional Science, Wiley Blackwell, vol. 96(2), pages 281-298, June.
    9. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
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    Cited by:

    1. Shaoqiang Ma & Min Fang & Xin Zhou, 2023. "China’s Embodied Copper Flow from the Demand-Side and Production-Side Perspectives," Sustainability, MDPI, vol. 15(3), pages 1-18, January.

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