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Is environmental pressure distributed equally in China? Empirical evidence from provincial and industrial panel data analysis

  • Yunwei Li
  • , Haitao Wu
  • , Keyuan Shen
  • , Yu Hao*
  • , Pengfei Zhang
  • *Corresponding author for this work
    • Beijing Institute of Technology
    • Xi'an Jiaotong University
    • Beijing Normal University

    Research output: Contribution to journalArticlepeer-review

    Abstract

    China's rapid economic development has resulted in increasingly serious environmental pollution that is negatively affecting the health of Chinese citizens. Notably, the unfair distribution of resources may cause the uneven distribution of the environmental burden. In this study, panel data of 30 Chinese provinces and 32 industries for the period 2004 to 2017 is used to investigate how the environmental burden is distributed across different regions and industries. To manage potential endogeneity and allow for dynamics, the generalized method of moments and panel vector autoregression models are employed. The estimation results indicate that, on the whole, urban residents endure the most serious environmental pollution. Notably, a big gap is observed between urban and rural residents' share of environmental pressure, and a similar gap is also observed between developed and underdeveloped areas in China. Moreover, the government is responsible for less environmental pressure than companies for urban residents and rural residents. The subindustry regression results indicate that the “polluting department” bears the most environmental pressure, and the “green department” also bore some negative environmental pressure.

    Original languageEnglish
    Article number137363
    JournalScience of the Total Environment
    Volume718
    DOIs
    Publication statusPublished - 20 May 2020

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities
    2. SDG 12 - Responsible Consumption and Production
      SDG 12 Responsible Consumption and Production

    Keywords

    • Environmental burden distribution
    • GMM method
    • PVAR model
    • Pollution control

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