Multidimensional relative poverty alleviation of the targeted microcredit in rural China: a gendered perspective
文献类型: 外文期刊
作者: Wu, Benjian;Niu, Linyi;Tan, Ruiqi;Zhu, Haibo
作者机构:
关键词: Multidimensional relative poverty;Women's empowerment;Microcredit;Rural development
期刊名称: CHINA AGRICULTURAL ECONOMIC REVIEW
ISSN: 1756-137X
年卷期: 2024 年
页码:
收录情况: SCIE(2024版) ; ; SSCI(2024版) ; ; 农林核心(2020版)
摘要: PurposeThis study explores whether targeted microcredit can effectively alleviate households' multidimensional relative poverty (MdRP) in rural China in the new era following the poverty elimination campaign and discusses it from a gendered perspective.Design/methodology/approachThis study applies a fixed-effects model, propensity score matching (PSM) and two-stage instrumental variable method to two-period panel data collected from 611 households in rural western China in 2018 and 2021 to explore the effects, mechanisms and heterogenous performance of targeted microcredit on households' MdRP in the new era.Findings(i) Targeted microcredit can alleviate MdRP among rural households in the new era, mainly by reducing income and opportunity inequality. (ii) Targeted microcredit can promote women's empowerment, mainly by enhancing their social participation, thereby helping alleviate households' MdRP. The effect of the targeted microcredit on MdRP is more significant in medium-educated women households and non-left-behind women households. (iii) The MdRP alleviation effect is stronger in villages with a high degree of digitalization.Research limitations/implicationsLearn from the experience of targeted microcredit. Accurately identify poor groups and integrate loan design into financial health and women empowerment. Particularly, pay attention to less-educated and left-behind women households and strengthen coordination between targeted microcredit and digital village strategies.Originality/valueThis study clarifies the effect of targeted microcredit on women's empowerment and households' MdRP alleviation in the new era. It also explores its various effects on households with different female characteristics and regional digitalization levels, providing ideas for optimizing microcredit.
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