An Empirical Analysis of Poverty Reduction Factors in National-Level Poverty-Stricken Counties

Taking Sichuan Province as an Example

DOI

10.2991/aebmr.k.210210.013How to use a DOI?

Keywords

national-level poverty-stricken counties, rural poverty, factors, multiple linear regression model

Abstract

Poverty has always been the development priority in China. Sichuan, a key target of national poverty alleviation and reduction, is vital for the overall poverty alleviation across China. Based on the data of poverty-stricken counties in Sichuan from 2013 to 2017, this paper employs multiple linear regression model to analyze the factors affecting residents’ saving deposit balance. Results show that the proportion of working population in the secondary industry and the tertiary industry, per capita oil production, the proportion of fixed-line telephone significantly sway the saving deposit of residents. Relevant policy suggestions are also proposed based on the results.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li Lei
AU  - Chenxi Liu
AU  - Zhenyi Ji
AU  - Zhixin Shu
PY  - 2021
DA  - 2021/02/21
TI  - An Empirical Analysis of Poverty Reduction Factors in National-Level Poverty-Stricken Counties
BT  - Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020)
PB  - Atlantis Press
SP  - 77
EP  - 82
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210210.013
DO  - 10.2991/aebmr.k.210210.013
ID  - Lei2021
ER  -