TY - JOUR
T1 - Exploring Livelihood Resilience and Its Impact on Livelihood Strategy in Rural China
AU - Liu, Wei
AU - Li, Jie
AU - Ren, Linjing
AU - Xu, Jie
AU - Li, Cong
AU - Li, Shuzhuo
N1 - Publisher Copyright:
© 2020, Springer Nature B.V.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - In an effort to mitigate ecological environments and improve human well-being, the Chinese government’s largest-ever relocation and settlement programme is underway. Measuring livelihood resilience and further assessing its impact hold the key to strengthening adaptive capacity and well-being in poverty resettlements. Using a household survey of contiguous poor areas in Southern Shaanxi, China, this research proposes a framework to examine livelihood resilience and its impact on livelihood strategies in the context of poverty alleviation resettlement. To provide more comprehensive empirical evidence, we drew on three dimensions of the previously proposed livelihood resilience framework: buffer capacity, self-organizing capacity, and learning capacity. The results show that capital endowments, social cooperation networks, transportation convenience, and skills acquired from education and rural–urban migration can significantly affect the construction of livelihood resilience. The resilience of households that were relocated because of ecological restoration is the highest, followed by households relocated because of disasters; households relocated because of poverty reduction attempts have the lowest resilience. As for indicators of livelihood resilience, physical capital assets and previous work experience play a major role in household livelihood strategies for pursuing non-farming activities, while household size, stable income, social capital, and information sharing result in diversified livelihood strategies. These findings provide policy implications for enhancing livelihood resilience capacities and improving the scope of available livelihood strategies to emerge from the poverty trap and to adapt to the new environment.
AB - In an effort to mitigate ecological environments and improve human well-being, the Chinese government’s largest-ever relocation and settlement programme is underway. Measuring livelihood resilience and further assessing its impact hold the key to strengthening adaptive capacity and well-being in poverty resettlements. Using a household survey of contiguous poor areas in Southern Shaanxi, China, this research proposes a framework to examine livelihood resilience and its impact on livelihood strategies in the context of poverty alleviation resettlement. To provide more comprehensive empirical evidence, we drew on three dimensions of the previously proposed livelihood resilience framework: buffer capacity, self-organizing capacity, and learning capacity. The results show that capital endowments, social cooperation networks, transportation convenience, and skills acquired from education and rural–urban migration can significantly affect the construction of livelihood resilience. The resilience of households that were relocated because of ecological restoration is the highest, followed by households relocated because of disasters; households relocated because of poverty reduction attempts have the lowest resilience. As for indicators of livelihood resilience, physical capital assets and previous work experience play a major role in household livelihood strategies for pursuing non-farming activities, while household size, stable income, social capital, and information sharing result in diversified livelihood strategies. These findings provide policy implications for enhancing livelihood resilience capacities and improving the scope of available livelihood strategies to emerge from the poverty trap and to adapt to the new environment.
KW - Contiguous poor areas
KW - Livelihood resilience
KW - Livelihood strategies
KW - Poverty alleviation resettlement
KW - Rural households
UR - https://www.scopus.com/pages/publications/85084152319
U2 - 10.1007/s11205-020-02347-2
DO - 10.1007/s11205-020-02347-2
M3 - 文章
AN - SCOPUS:85084152319
SN - 0303-8300
VL - 150
SP - 977
EP - 998
JO - Social Indicators Research
JF - Social Indicators Research
IS - 3
ER -