6533b82efe1ef96bd12931fb
RESEARCH PRODUCT
Which social program supports sustainable grass-root finance? Machine-learning evidence
R. Gonzales Martinezsubject
Sustainable developmentFinanceGrass rootBottom of the pyramidbusiness.industryGeography Planning and Development010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesVDP::Samfunnsvitenskap: 200::Økonomi: 210SustainabilityBusiness0105 earth and related environmental sciencesSocial programdescription
Resources for development are used efficiently when social programs help to promote at the same time the sustainability of grass-root financial associations at the bottom of the pyramid. This study applies machine-learning to a worldwide database of grass-root associations in order to identify which social programs are good predictors of financial returns in the groups. The results indicate that education, income-generating activities and health programs are the most frequent programs provided by development agencies. Business training is not the most frequent intervention applied to grass-root associations, but it is in fact the most important social program to encourage financial sustainability, particularly after a development agency stops working with a group and leaves the community. Theoretical and practical implications of the findings are discussed. Paid Open Access UNIT agreement
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-12-20 |