dc.contributor.author | Gonzales Martinez, Rolando | |
dc.date.accessioned | 2020-01-08T15:10:23Z | |
dc.date.available | 2020-01-08T15:10:23Z | |
dc.date.created | 2019-12-20T16:37:21Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Gonzales Martinez, R. (2019). Which social program supports sustainable grass-root finance? Machine-learning evidence. International Journal of Sustainable Development and World Ecology, 27(5), 389-395. doi: | nb_NO |
dc.identifier.issn | 1745-2627 | |
dc.identifier.uri | http://hdl.handle.net/11250/2635421 | |
dc.description.abstract | 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. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Taylor & Francis | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Which social program supports sustainable grass-root finance? Machine-learning evidence | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.rights.holder | © 2019 The Author(s) | nb_NO |
dc.subject.nsi | VDP::Samfunnsvitenskap: 200::Økonomi: 210 | nb_NO |
dc.source.pagenumber | 7 | nb_NO |
dc.source.pagenumber | 389-395 | |
dc.source.volume | 27 | |
dc.source.journal | International Journal of Sustainable Development & World Ecology | nb_NO |
dc.source.issue | 5 | |
dc.identifier.doi | 10.1080/13504509.2019.1706059 | |
dc.identifier.cristin | 1763509 | |
dc.description.localcode | Paid Open Access | nb_NO |
dc.description.localcode | UNIT agreement | |
cristin.qualitycode | 1 | |