Abstract

In order to study the extent of the impact of air pollution on poverty vulnerability and provide a reference for governments to formulate and adjust policy approaches, in this paper, CNRDS and CHIPS micro-survey data were used to test the effects of air pollution on poverty vulnerability by using the Probit model, and the tendency value matching (PSM) method was adopted to correct the selective bias. The basic results show that air pollution is significantly negatively correlated with farmers’ vulnerability to poverty, that is, the higher the proportion of air pollution, the lower the economic vulnerability of farmers. And the effect of air pollution on farmers’ economic vulnerability is U-shaped. The main contribution of this paper refers to its assessment of the poverty reduction effect of air pollution from a forward-looking perspective, which can effectively maintain the results of poverty relief, improve the effectiveness of poverty-relief inputs and the continuity of poverty-relief effects, and achieve a stable poverty relief of the poor.

Highlights

  • Since the reform and opening up, the country, under the leadership of the government of the authorities, has created a characteristic "Chinese-style poverty alleviation" route through the large-scale implementation of a nationwide development-oriented poverty alleviation strategy

  • From 1978 to 2018, the total number of rural poor in China decreased by about 800 million, and the incidence of poverty decreased by about 96%, which achieved remarkable results, making remarkable contributions to the promotion of poverty reduction in the world and the implementation of the United Nations Millennium Development Goals

  • Most of the literature focuses on the impact of air pollution on current poverty and does not address the persistence of poverty reduction effects

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Summary

Introduction

Since the reform and opening up, the country, under the leadership of the government of the authorities, has created a characteristic "Chinese-style poverty alleviation" route through the large-scale implementation of a nationwide development-oriented poverty alleviation strategy. From 1978 to 2018, the total number of rural poor in China decreased by about 800 million, and the incidence of poverty decreased by about 96%, which achieved remarkable results, making remarkable contributions to the promotion of poverty reduction in the world and the implementation of the United Nations Millennium Development Goals. Most of the literature focuses on the impact of air pollution on current poverty and does not address the persistence of poverty reduction effects. Focusing only on the current impact on the expected reduction of the effects of air pollution is one-sided and, in turn, misleads the formulation and implementation of relevant policies. With the help of CNRDS, CHIPS micro-survey data, this paper demonstrates the impact of air pollution on the vulnerability of household poverty. The tendency value matching (PSM) method is adopted to eliminate sample selection bias as much as possible

Basic analytical framework
Specification of model
Variable definition
Empirical study

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