Financial Inclusion in Asia 2016
DOI: 10.1057/978-1-137-58337-6_1
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Measuring Financial Inclusion for Asian Economies

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Cited by 170 publications
(321 citation statements)
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“…These financial indicators, however, do not provide a complete measurement of financial inclusion. Very few studies have created an index of financial inclusion using different financial dimensions and methodologies (Chakravarty and Pal 2013;Chattopadhyay 2011;Sarma 2015;Lenka and Bairwa 2016).…”
Section: Contribution Of This Studymentioning
confidence: 99%
“…These financial indicators, however, do not provide a complete measurement of financial inclusion. Very few studies have created an index of financial inclusion using different financial dimensions and methodologies (Chakravarty and Pal 2013;Chattopadhyay 2011;Sarma 2015;Lenka and Bairwa 2016).…”
Section: Contribution Of This Studymentioning
confidence: 99%
“…Each of these dimensions is determined by several demand-side individual level indicators for usage and barrier and supply-side country level indicators for access. For example, the proportion of people having a bank account is a measure of the penetration of the banking system, while the data on the number of bank branches and the number of ATMs per 100,000 adults are a measure of the availability dimension (Sarma, 2015). Furthermore, the percentages of loans and deposit accounts in the population, the number of transactions per deposit account and the number of electronic payments show the level of usage of financial products and services (Demirgüç-Kunt et al, 2015).…”
Section: Methodsmentioning
confidence: 99%
“…Measures of financial sector development include data on volume of credit to the private sector and deposit mobilized from the private sector as a proportion of the country's GDP (Sarma, 2015), the presence of bank branches compared to the population or the presence of banks (Ergungor, 2008) and the intermediation degree, i.e., private credit to deposit (World Bank, 2006). On the demand side, we thus used data on banking activity (loans and deposits, number of borrowers and depositors) and on the supply side, data on the structure of the banking system (ATM, branches, institutions).…”
Section: Methodsmentioning
confidence: 99%
“…Based on Sarma and Pais [24], Sarma [47] improved the calculation method of the inclusive financial development index. In contrast to the calculation method of the normalized inverse Euclidian distance between the achievement point and the ideal point in the past, Sarma [47] uses a simple average of the normalized Euclidian distance between the achievement point and the worst point and the normalized inverse Euclidian distance between the achievement point and the ideal point as formula (4). Therefore, we use this new method to recalculate the CRIFI, and apply the modified index to the benchmark model (3).…”
Section: Robustness Testmentioning
confidence: 99%