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The impact of digital inclusive finance on environmental pollution: A case study of air pollution

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  • Zexing Wang
  • Min Fan
  • Yaojun Fan

Abstract

This study delves into the impact of digital inclusive finance on environmental pollution, with a specific focus on air pollution. Utilizing data from 265 Chinese cities, advanced econometric methods such as the bi-directional fixed effects model, threshold model, spatial Durbin model, and multi-period difference-in-differences model are employed, incorporating a variety of control variables. The empirical findings indicate that digital inclusive finance significantly reduces air pollution. This mechanism chiefly operates through enhancing public environmental consciousness and fostering green technological innovation. The study also uncovers the spatial spillover effect and non-linear characteristics of digital inclusive finance on air pollution, along with its interactive effects with specific policies (e.g., smart city pilot policies and the “major protection, no major development" initiative). Moreover, heterogeneity analysis reveals regional variations in the environmental effects of digital inclusive finance. These insights provide a novel perspective on the relationship between financial technology and environmental protection and offer crucial guidance for policymaking.

Suggested Citation

  • Zexing Wang & Min Fan & Yaojun Fan, 2024. "The impact of digital inclusive finance on environmental pollution: A case study of air pollution," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-30, July.
    • Handle: RePEc:plo:pone00:0305963
    DOI: 10.1371/journal.pone.0305963
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