| Literature DB >> 33670155 |
Zhe Sun1, Liang Zhao2, Shuyue Wang1, Hongyin Zhang1, Xinyu Wang1, Zherui Wan1.
Abstract
Although China is experiencing a transition from a relation-based society to a rule-based society, relationships among acquaintances still play an important role in resource allocation, such as the allocation of policy resources. This is particularly true in rural China, where targeted poverty alleviation is prevalent and a relation-based social structure still dominates. However, it is still unknown how relationships affect the livelihood strategy of households in rural China and how poverty alleviation policies plays a role between them. Therefore, this paper embeds poverty alleviation into the relation-based society and explores how households respond to the policy in this specific context. Using grounded theory research method and the sustainable livelihoods approach (SLA) framework, this paper contains in-depth interviews and field observations from three poverty-stricken villages in Northeast China. The results show that relationships have a significant impact on the households' livelihood strategy. In other words, the households' livelihood strategy is embedded in the relation-based society. The types of relationships induce households to choose maintained or developmental type livelihood strategies, while relationships influence how the poverty alleviation policies affect the livelihood strategy. This study is not only an extension of the SLA in the research context, but also provides a significant perspective for enriching the long-term mechanism of targeted poverty alleviation by building a theoretical model of the relationships between a relation-based society, targeted poverty alleviation and the livelihood strategies of households.Entities:
Keywords: grounded theory; livelihood strategy; relation-based society; targeted poverty alleviation
Year: 2021 PMID: 33670155 PMCID: PMC7916877 DOI: 10.3390/ijerph18041747
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390