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Types and Optimization Paths Between Poverty Alleviation Effectiveness and Rural Revitalization: A Case Study of Hunan Province, China.

Authors :
Tan, Xuelan
Wang, Zhenkai
An, Yue
Wang, Weilin
Source :
Chinese Geographical Science. Oct2023, Vol. 33 Issue 5, p966-982. 17p.
Publication Year :
2023

Abstract

Exploring the synergy types and optimization paths between Poverty Alleviation Effectiveness and Rural Revitalization is necessary for achieving the two centenary goals. Taking poverty alleviation counties in Hunan Province, China as an example, our study proposed an indicator to measure the synergistic development between Poverty Alleviation Effectiveness and Rural Revitalization using the multi-index integrated evaluation method. Then, the coupling types were classified based on both the proposed indicator and regional characteristics. Besides, the corresponding optimization path for each coupling type was proposed to promote the synergistic development of Poverty Alleviation and Rural Revitalization. Results are as follows: 1) Lower synergy focused on the southwestern Hunan, while low synergy is widely distributed (such as the west, southwest, northwest, and midland). Moderate synergy is in the midland, such as Huaihua and Chenzhou cities. High synergy is distributed in Yongzhou, Huaihua, Xiangxi cities, etc. Besides, only Hecheng City belongs to the higher synergy. 2) This paper proposes corresponding development paths for different development characteristics and main problems from multiple perspectives of the protection system, industrial planning, and rural market. Continuously consolidate and enhance the effectiveness of Poverty Alleviation and Rural Revitalization to achieve coupled and synergistic development of the two systems. Our research results can provide theoretical support for implementing Poverty Alleviation and Rural Revitalization in Hunan Province, China. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10020063
Volume :
33
Issue :
5
Database :
Academic Search Index
Journal :
Chinese Geographical Science
Publication Type :
Academic Journal
Accession number :
171917002
Full Text :
https://doi.org/10.1007/s11769-023-1377-6