Spatio-Temporal Variation and Decomposition Analysis of Livelihood Resilience of Rural Residents in China

Shulei Cheng, Yu Yu, Wei Fan () and Chunxia Zhu
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Shulei Cheng: School of Public Administration, Southwestern University of Finance and Economics, Chengdu 611130, China
Yu Yu: School of Public Administration, Southwestern University of Finance and Economics, Chengdu 611130, China
Wei Fan: School of Economics, Southwestern University of Finance and Economics, Chengdu 611130, China
Chunxia Zhu: School of Economics, Southwestern University of Finance and Economics, Chengdu 611130, China

IJERPH, 2022, vol. 19, issue 17, 1-25

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 β convergence). This research provides a factual reference for policies related to reducing inter-provincial differences in the LRRR in China.

Keywords: livelihood resilience; rural residents; Dagum Gini coefficient; kernel density; spatial convergence (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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