A benefit allocation model for the joint prevention and control of air pollution in China: In view of environmental justice

J Environ Manage. 2022 Aug 1:315:115132. doi: 10.1016/j.jenvman.2022.115132. Epub 2022 Apr 27.

Abstract

The benefit allocation of fair and justice is an inevitable guarantee for the long-term operation of the joint prevention and control of air pollution (JPCAP). The ignorance of interest demands of various governance subjects in the existing benefit allocation mechanism results in the widespread "free rider" behavior in the joint control and unsatisfactory effects of JPCAP. Given this, it is imperative to build a reasonable benefit allocation model. The innovation of this paper is proposing a benefit allocation model of JPCAP to achieve the symmetry between control costs and benefits based on environmental justice. The control objectives and total benefits of JPCAP are calculated through the adjustment of optimal removal rates. The interest demands of various control subjects and benefit compensation scheme are clarified by adopting an improved Shapley method, which comprehensively considers factors affecting environmental justice. An empirical analysis is conducted on SO2 governance in Beijing-Tianjin-Hebei (BTH) and its surrounding areas. The results show that the benefit allocation model based on environmental justice can not only accurately evaluate the benefits of joint control, but also effectively achieve the symmetry between control costs and benefits. This study provides a scientific and reasonable theoretical basis for the benefit allocation of SO2 control and can be extended to the researches and practices of other air pollutants control.

Keywords: Air pollution control; Benefit allocation; Benefit compensation; Environmental justice; Regional air pollution.

MeSH terms

  • Air Pollutants* / analysis
  • Air Pollution* / analysis
  • Air Pollution* / prevention & control
  • Beijing
  • China
  • Environmental Justice
  • Environmental Monitoring / methods
  • Humans
  • Particulate Matter / analysis

Substances

  • Air Pollutants
  • Particulate Matter