Issue |
E3S Web Conf.
Volume 292, 2021
2021 2nd International Conference on New Energy Technology and Industrial Development (NETID 2021)
|
|
---|---|---|
Article Number | 03032 | |
Number of page(s) | 8 | |
Section | Environmental Sustainable Development and Industrial Transformation | |
DOI | https://doi.org/10.1051/e3sconf/202129203032 | |
Published online | 09 September 2021 |
Research on Identifying the Risk of Returning to Poverty from Poverty-alleviation Households1 and Industrial Development in Liangshan Prefecture, China
College of Management, Sichuan Agricultural University, Chengdu, 611130, China
* Corresponding author: 852110243@qq.com
1 Refers to households that have been lifted out of poverty under current standards.
With the victory of China’s fight against poverty in 2020, the focus of poverty alleviation will shift to prevent poverty reinstatement. With the help of the survey data of 676 poverty-alleviation households in Liangshan Prefecture, this paper identifies the poverty-return risk of poverty-alleviation households and further analyzes its related influence mechanism. The results found that most of the poverty-alleviation households have a low risk of returning to poverty. The impact mechanism shows that the village hardening road compliance status, endogenous development motivation, county per capita GDP, and the proportion of wage income are negatively correlated with the risk of poverty-returning households in Liangshan prefecture; however, this effect has group heterogeneity and is more conducive to reducing the poverty-return risk for those with higher risk of returning to poverty. The number of people with disabilities and the number of people receiving subsistence allowances in the family are positively correlated with the poverty-return risk. And put forward suggestions to prevent poverty return based on industrial development.
© The Authors, published by EDP Sciences, 2021
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.