Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|
|
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Article Number | 02027 | |
Number of page(s) | 3 | |
Section | Environmental Engineering, Pollution Control and Prevention | |
DOI | https://doi.org/10.1051/e3sconf/202016502027 | |
Published online | 01 May 2020 |
Effects of air pollution on poverty vulnerability
1 School of Economics, Ocean University of China, Qingdao, Shandong Province, 266100, China
2 School of Economics, Shandong University of Finance and Economics, Jinan, Shandong Province, 250014, China
3 School of Public Finance and Taxation, Shandong University of Finance and Economics, Jinan, Shandong Province, 250014, China
4 School of public administration,Shandong University of Finance and Economics, Jinan, Shandong Province, 250014, China
* Correspondence Author Email: lijialing@scdcszx.space
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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