2013
DOI: 10.1016/j.worlddev.2012.11.002
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Financial Inclusion and Financial Integrity: Aligned Incentives?

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Cited by 130 publications
(51 citation statements)
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“…Several studies in the literature suggest that financial inclusion is generally driven by population density, especially in Africa (Allen et al 2014;Arun & Kamath 2015;De Koker & Jentzsch 2013). These studies emphasise that population density is linked more to bank branch penetration in Africa than it is in other developing economies.…”
Section: Financial Inclusionmentioning
confidence: 99%
“…Several studies in the literature suggest that financial inclusion is generally driven by population density, especially in Africa (Allen et al 2014;Arun & Kamath 2015;De Koker & Jentzsch 2013). These studies emphasise that population density is linked more to bank branch penetration in Africa than it is in other developing economies.…”
Section: Financial Inclusionmentioning
confidence: 99%
“…The growth of microfinance can be understood by looking at the strong concern about decreasing financial inclusion in developed countries (Swamy, ), defined as ensuring access to formal financial services at an affordable cost in a fair and transparent manner. Financial inclusion has been proved to improve economic growth, reduce poverty and promote social inclusion (De Koker & Jentzsch, ) and has now progressed from a narrow focus on access to microcredit to a broader concept that incorporates remittances, savings and insurance products (Dittus & Klein, ). The recent financial crisis generated a credit crunch that has subsequently affected the vitality of micro–small enterprises as well as that of private citizens, with a considerable impact on financial inclusion.…”
Section: The Rise and Features Of Microfinance Institutions In Develomentioning
confidence: 99%
“…Communication data reflects social patterns and contacts of the client. If the phone is used for transactions, the client profile is enriched by data about the client's financial transactions and spending patterns (De Koker and Jentzsch 2013). The data itself can be sufficiently rich to enable analysts to correctly identify an unidentified client.…”
Section: Extensive Datamentioning
confidence: 99%