{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T14:06:27Z","timestamp":1761919587179,"version":"3.41.2"},"reference-count":31,"publisher":"Emerald","issue":"8","license":[{"start":{"date-parts":[[2012,6,29]],"date-time":"2012-06-29T00:00:00Z","timestamp":1340928000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,6,29]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to study the socio\u2010economic variables that influence the number of micro\u2010credit projects worldwide. The paper also intends to study the socio\u2010economic variables that lead to a higher default rate. In order to do this study, the authors use a database from MIX and include some more variables.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>The paper intends to explore why the number of debtors\/lenders is higher or lower depending on each country, and what variables influence this behavior. This will allow regions to be distinguished where there is more microcredit and on what basis and why, in some cases, it is found to have a higher incidence of default.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The results showed that green cases (characterized by a lower probability of default) are increased when more collateral value is required and the case is not in Africa. Higher levels of population under the poverty line, higher levels of the Gini Index, and being an African country lead to higher levels of yellow cases. It was observed that the percentage of red cases (characterized by a higher probability of default) tends to rise if there is a smaller value of firms using banks to finance investments, if there is a reduced expression of small firms, and if there are smaller values of collateral needed for a loan.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>This is the first scientific paper on this field (heterogeneity of microcredit borrowing rates).<\/jats:p><\/jats:sec>","DOI":"10.1108\/03068291211238428","type":"journal-article","created":{"date-parts":[[2012,6,30]],"date-time":"2012-06-30T07:09:19Z","timestamp":1341040159000},"page":"536-550","source":"Crossref","is-referenced-by-count":6,"title":["Why does the microcredit borrowing rate differ across countries? A cross\u2010country study"],"prefix":"10.1108","volume":"39","author":[{"given":"Sofia","family":"Pereira","sequence":"first","affiliation":[]},{"given":"Paulo","family":"Mourao","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022030820140326900_b1","unstructured":"Armend\u00e1riz de Aghion, B. and Morduch, J. (2010), The Economics of Microfinance, 2nd ed., MIT Press, Cambridge, MA."},{"key":"key2022030820140326900_b2","unstructured":"Aug\u00e9, L., Lebrun, A. and Piozin, A. (2010), \u201cMicrocredit models and Yunus equation\u201d, Project Report, p. 2."},{"key":"key2022030820140326900_b3","unstructured":"Bakshi, R. (2008), \u201cFrom \u2018No Collateral No Loan\u2019 to \u2018No Collateral No Default\u2019: the economics of group lending microfinance\u201d, The Social Sciences, Vol. 3 No. 8, pp. 611\u201025."},{"key":"key2022030820140326900_b4","unstructured":"Berg, G. and Schrader, J. 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