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Effects of Imports and Exports on China's PM2.5 Pollution

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  • Zhaohua Li
  • Ziwei Fang
  • Zhuyu Tang

Abstract

This paper examines the effects of imports and exports on China's PM2.5 pollution using data from 31 provinces during the period 2001–2016. At the aggregate level, our analysis shows that exports have a pollution‐generating effect while imports have a pollution‐shifting effect on provincial PM2.5 pollution. Cross‐sectional analysis reveals that imports and exports exhibit opposite effects on manufacturing and high‐tech industries, but demonstrate the same pollution‐generating effect for the heavy industry sector. At the regional level, the effects are similar to those at the aggregate level. We also examine the impacts of other factors on PM2.5 pollution. Our empirical evidence shows that PM2.5 pollution is positively correlated with domestic sales, population density, economic growth, urbanization rate, and transportation, but negatively correlated with energy efficiency and industry structure. This paper suggests that reducing exports and increasing imports will help to reduce PM2.5 pollution.

Suggested Citation

  • Zhaohua Li & Ziwei Fang & Zhuyu Tang, 2020. "Effects of Imports and Exports on China's PM2.5 Pollution," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(6), pages 28-50, November.
    • Handle: RePEc:bla:chinae:v:28:y:2020:i:6:p:28-50
    DOI: 10.1111/cwe.12354
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    References listed on IDEAS

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    1. Liddle, Brantley, 2013. "Population, Affluence, and Environmental Impact Across Development: Evidence from Panel Cointegration Modeling," MPRA Paper 52088, University Library of Munich, Germany.
    2. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    3. Shahbaz, Muhammad & Loganathan, Nanthakumar & Sbia, Rashid & Afza, Talat, 2015. "The effect of urbanization, affluence and trade openness on energy consumption: A time series analysis in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 683-693.
    4. Wang, Ping & Wu, Wanshui & Zhu, Bangzhu & Wei, Yiming, 2013. "Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China," Applied Energy, Elsevier, vol. 106(C), pages 65-71.
    5. J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
    6. Wang, Changjian & Wang, Fei & Zhang, Xinlin & Yang, Yu & Su, Yongxian & Ye, Yuyao & Zhang, Hongou, 2017. "Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 51-61.
    7. Ji, Xi & Yao, Yixin & Long, Xianling, 2018. "What causes PM2.5 pollution? Cross-economy empirical analysis from socioeconomic perspective," Energy Policy, Elsevier, vol. 119(C), pages 458-472.
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