Optimal Financing Choice for Institutional Sustainability: Evidence from a Global Study on Microfinance Institutions
This study investigates the role of different financing sources on the financial sustainability of Microfinance Institutions (MFIs) using a combination of efficiency estimation techniques and regression analysis. Specifically, this study utilizes the Data Envelopment Analysis (DEA) method to measure...
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Springer Science and Business Media Deutschland GmbH
2024
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2-s2.0-85202186117 Ahamad S.; Reaz M.T.; Chowdhury M.F.; Billah M.; Joarder M.H.R.; Uddin M. Optimal Financing Choice for Institutional Sustainability: Evidence from a Global Study on Microfinance Institutions 2024 Lecture Notes in Networks and Systems 1083 LNNS 10.1007/978-3-031-67431-0_3 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202186117&doi=10.1007%2f978-3-031-67431-0_3&partnerID=40&md5=c5a632a65c74b24a4da810ae6ee1b362 This study investigates the role of different financing sources on the financial sustainability of Microfinance Institutions (MFIs) using a combination of efficiency estimation techniques and regression analysis. Specifically, this study utilizes the Data Envelopment Analysis (DEA) method to measure MFIs’ efficiency levels, and the Generalized Method of Moments (GMM) estimator to assess the effects of different financing sources on financial sustainability. This study employs a panel dataset comprising 661 MFIs from 86 nations, covering the year 2010–2018. The findings reveal that, overall, MFIs exhibit intermediate levels of efficiency. Furthermore, the regression results demonstrate that retained earnings and equity are positively associated with financial efficiency, indicating that MFIs that rely more heavily on these sources tend to be more financially stable. The practical significance of these findings is significant for both policy makers and regulators in the microfinance industry. The study suggests that funding strategies must be carefully considered to improve MFIs’ efficiency and sustainability. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Springer Science and Business Media Deutschland GmbH 23673370 English Conference paper |
author |
Ahamad S.; Reaz M.T.; Chowdhury M.F.; Billah M.; Joarder M.H.R.; Uddin M. |
spellingShingle |
Ahamad S.; Reaz M.T.; Chowdhury M.F.; Billah M.; Joarder M.H.R.; Uddin M. Optimal Financing Choice for Institutional Sustainability: Evidence from a Global Study on Microfinance Institutions |
author_facet |
Ahamad S.; Reaz M.T.; Chowdhury M.F.; Billah M.; Joarder M.H.R.; Uddin M. |
author_sort |
Ahamad S.; Reaz M.T.; Chowdhury M.F.; Billah M.; Joarder M.H.R.; Uddin M. |
title |
Optimal Financing Choice for Institutional Sustainability: Evidence from a Global Study on Microfinance Institutions |
title_short |
Optimal Financing Choice for Institutional Sustainability: Evidence from a Global Study on Microfinance Institutions |
title_full |
Optimal Financing Choice for Institutional Sustainability: Evidence from a Global Study on Microfinance Institutions |
title_fullStr |
Optimal Financing Choice for Institutional Sustainability: Evidence from a Global Study on Microfinance Institutions |
title_full_unstemmed |
Optimal Financing Choice for Institutional Sustainability: Evidence from a Global Study on Microfinance Institutions |
title_sort |
Optimal Financing Choice for Institutional Sustainability: Evidence from a Global Study on Microfinance Institutions |
publishDate |
2024 |
container_title |
Lecture Notes in Networks and Systems |
container_volume |
1083 LNNS |
container_issue |
|
doi_str_mv |
10.1007/978-3-031-67431-0_3 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202186117&doi=10.1007%2f978-3-031-67431-0_3&partnerID=40&md5=c5a632a65c74b24a4da810ae6ee1b362 |
description |
This study investigates the role of different financing sources on the financial sustainability of Microfinance Institutions (MFIs) using a combination of efficiency estimation techniques and regression analysis. Specifically, this study utilizes the Data Envelopment Analysis (DEA) method to measure MFIs’ efficiency levels, and the Generalized Method of Moments (GMM) estimator to assess the effects of different financing sources on financial sustainability. This study employs a panel dataset comprising 661 MFIs from 86 nations, covering the year 2010–2018. The findings reveal that, overall, MFIs exhibit intermediate levels of efficiency. Furthermore, the regression results demonstrate that retained earnings and equity are positively associated with financial efficiency, indicating that MFIs that rely more heavily on these sources tend to be more financially stable. The practical significance of these findings is significant for both policy makers and regulators in the microfinance industry. The study suggests that funding strategies must be carefully considered to improve MFIs’ efficiency and sustainability. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. |
publisher |
Springer Science and Business Media Deutschland GmbH |
issn |
23673370 |
language |
English |
format |
Conference paper |
accesstype |
|
record_format |
scopus |
collection |
Scopus |
_version_ |
1809678472390377472 |