Effect of environmental regulation policy synergy on carbon emissions in China under consideration of the mediating role of industrial structure

J Environ Manage. 2022 Nov 15:322:116053. doi: 10.1016/j.jenvman.2022.116053. Epub 2022 Aug 28.

Abstract

A comprehensive understanding of the effect of environmental regulation policy synergy on carbon emissions is essential for the design and decision-making of the other policy combinations. In this paper, the panel data from 30 provinces in China during 2000-2019 are used as samples to investigate the heterogeneity of different policy combinations and compare the differences using a Bayesian non-parametric generalized additive quantile method. The research results imply that the environmental regulation policy synergy has a significant heterogeneous effect on carbon emissions on different levels. Specifically, the effect of environmental regulation policy synergy on carbon emissions has an inverted U-shape trend at the low quintiles, i.e., before the turning point, it shows a "green paradox" effect, and after the turning point, it shows an "emission reduction" effect. However, the effect of environmental regulation policy synergy on carbon emissions shows a significant N-shape trend at the high quintiles, i.e., before the second turning point, it shows an "emission reduction" effect, and after the second turning point, it shows a "green paradox" effect. Moreover, the effect of environmental regulation policy combinations on carbon emissions reduction has been found to vary significantly across regions.

Keywords: Bayesian non-parametric generalized additive quantile; Carbon emissions; Environmental regulation; Heterogeneity; Policy synergy.

MeSH terms

  • Bayes Theorem
  • Carbon Dioxide* / analysis
  • Carbon* / analysis
  • China
  • Economic Development
  • Environmental Policy
  • Policy

Substances

  • Carbon Dioxide
  • Carbon