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Financial Inclusion and its Determinants: A Study of Bangladesh


Affiliations
1 Assistant Professor, Department of Finance and Banking, Begum Rokeya University, Rangpur, Bangladesh
2 Professor, School of Finance, Dongbei University of Finance and Economics, Dalian, 116025, China
3 Professor - Strategy & International Business Surrey International Institute, Dongbei University of Finance and Economics, Dalian, China

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Despite the present focus of policies devoted to promote financial inclusion in Bangladesh, the issue of its comprehensive and robust measurement, which can be used to assess the extent of financial inclusion across the country is outstanding. This study attempted to fill this gap first, by proposing a multi-dimensional index and then identifying the determinants of financial inclusion. Following similar methodology used to construct the Human Development Index (HDI), data on several dimensions of financial inclusion were used to develop an index lying between 0 and 1. The Euclidean distance formula was applied to extract the normalized indicators. The findings of the study showed that only one district in Bangladesh, that is, Dhaka achieved high stated financial inclusion, and five districts achieved medium stated financial inclusion during 2009-2013, while very low financial inclusion was observed across the remaining 58 districts out of 64 districts of Bangladesh. The empirical findings also showed that 47 districts out of 64 witnessed an improvement in the IFI score of financial inclusion. However, the extent of progress of financial inclusion in these 47 districts was found to be insignificant to change their status from low financial inclusion to medium or high financial inclusion. Among the socio-geographic variables, rural population, household size, and literacy rate; among the infrastructure variables, paved road networks, Internet ; and among the banking variables, deposit penetration were found to be the significant determinants of financial inclusion. One of the major contributions of this study is that it will invoke the governments and policy makers across the world to develop a financial inclusion index for their respective countries, and thereby undertake such policies to promote financial inclusion.

Keywords

Financial Inclusion, Multi-Dimensional Index, Normalized Inverse Euclidean Distance, Human Development Index

G00, G21, O16

Paper Submission Date : December 1, 2014 ; Paper sent back for Revision : March 4, 2015 ; Paper Acceptance Date : April 26, 2015

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  • Financial Inclusion and its Determinants: A Study of Bangladesh

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Authors

Md. Nur Alam Siddik
Assistant Professor, Department of Finance and Banking, Begum Rokeya University, Rangpur, Bangladesh
Gang Sun
Professor, School of Finance, Dongbei University of Finance and Economics, Dalian, 116025, China
Sajal Kabiraj
Professor - Strategy & International Business Surrey International Institute, Dongbei University of Finance and Economics, Dalian, China

Abstract


Despite the present focus of policies devoted to promote financial inclusion in Bangladesh, the issue of its comprehensive and robust measurement, which can be used to assess the extent of financial inclusion across the country is outstanding. This study attempted to fill this gap first, by proposing a multi-dimensional index and then identifying the determinants of financial inclusion. Following similar methodology used to construct the Human Development Index (HDI), data on several dimensions of financial inclusion were used to develop an index lying between 0 and 1. The Euclidean distance formula was applied to extract the normalized indicators. The findings of the study showed that only one district in Bangladesh, that is, Dhaka achieved high stated financial inclusion, and five districts achieved medium stated financial inclusion during 2009-2013, while very low financial inclusion was observed across the remaining 58 districts out of 64 districts of Bangladesh. The empirical findings also showed that 47 districts out of 64 witnessed an improvement in the IFI score of financial inclusion. However, the extent of progress of financial inclusion in these 47 districts was found to be insignificant to change their status from low financial inclusion to medium or high financial inclusion. Among the socio-geographic variables, rural population, household size, and literacy rate; among the infrastructure variables, paved road networks, Internet ; and among the banking variables, deposit penetration were found to be the significant determinants of financial inclusion. One of the major contributions of this study is that it will invoke the governments and policy makers across the world to develop a financial inclusion index for their respective countries, and thereby undertake such policies to promote financial inclusion.

Keywords


Financial Inclusion, Multi-Dimensional Index, Normalized Inverse Euclidean Distance, Human Development Index

G00, G21, O16

Paper Submission Date : December 1, 2014 ; Paper sent back for Revision : March 4, 2015 ; Paper Acceptance Date : April 26, 2015




DOI: https://doi.org/10.17010/ijf%2F2015%2Fv9i6%2F70988