Spatio-Temporal Variation and Decomposition Analysis of Livelihood Resilience of Rural Residents in China.
Int J Environ Res Public Health
; 19(17)2022 08 25.
Article
en En
| MEDLINE
| ID: mdl-36078330
ABSTRACT
The key to sustainable rural development and coordinated regional development is to properly measure the livelihood resilience of rural residents (LRRR), and investigate its regional differences, distribution characteristics, and evolutionary patterns. This study combined the entropy method, the Dagum Gini coefficient and decomposition, kernel density estimation, and convergence analysis to measure the LRRR in 30 provinces of China from 2006 to 2020, and to analyze its regional differences and sources, dynamic distribution, and characteristics of convergence. The LRRR in China overall declined 2006-2020, with an east-to-west spatial gradient toward lower livelihood resilience. Intra-regional differences in LRRR narrowed in the Eastern and Central Regions, while those in the Western Region widened. Inter-regional differences were the main source of differences in LRRR. The LRRRs in most provinces in China were gradually reaching the same level over time (i.e., σ convergence and ß convergence). This research provides a factual reference for policies related to reducing inter-provincial differences in the LRRR in China.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Población Rural
/
Planificación Social
Aspecto:
Determinantes_sociais_saude
Límite:
Humans
País/Región como asunto:
Asia
Idioma:
En
Revista:
Int J Environ Res Public Health
Año:
2022
Tipo del documento:
Article
País de afiliación:
China