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Microfinance and social capital formation- a social network analysis approach

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  • Tahmasebi, Asghar
  • Askaribezayeh, Fatemeh

Abstract

The microcredit program has emerged as an important poverty alleviation strategy over the last three decades, and several studies have examined its economic impacts on the community well-being. However, far too little attention has been paid to the effects of micro credits on community social connection and solidarity. This paper aims to examine the application of Social Network Analysis (SNA) to explore the impact of the rural microcredit fund on community social capitals. In doing so, the data on interactions of four rural development groups' members before and after the microcredit project implementation were collected using participatory workshops in Neyzar village of Qom province in Iran. The data were analyzed by Ucinet software, and the socio-graphs were produced by the NetDraw application. The results show that, more people have been involved in the social interactions after the project implementation and there was statistically significant increase in density and decrease in centralization of cooperation network. Furthermore, there were no important distinctions in centrality of people with various educational levels before and after the project implementation. Overall, it can be concluded that, the microfinance initiative considerably promotes the community social capital and participation in the rural development activities. Moreover, the SNA techniques are applicable as an impact assessment tool to investigate changes in community social capital.

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  • Tahmasebi, Asghar & Askaribezayeh, Fatemeh, 2021. "Microfinance and social capital formation- a social network analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:soceps:v:76:y:2021:i:c:s0038012120308156
    DOI: 10.1016/j.seps.2020.100978
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    References listed on IDEAS

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    2. Jie Su & Bo Zhou & Yuanpei Liao & Chaoshen Wang & Tian Feng, 2022. "Impact Mechanism of the Urban Network on Carbon Emissions in Rapidly Developing Regions: Example of 47 Cities in Southwest China," Land, MDPI, vol. 11(4), pages 1-19, March.

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