Exploring the determinants of the productivity of indian microfinance institutions
This paper attempts to investigate the determinants of productivity in microfinance institutions (MFIs) in India using the empirical Bayesian technique. To do this, we utilize an unbalanced panel dataset covering the period 2005-2011 with 292 observations from 64 institutions. Based on theoretical g...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
General Association of Economists from Romania
2013-12-01
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| Series: | Theoretical and Applied Economics |
| Subjects: | |
| Online Access: |
http://store.ectap.ro/articole/934.pdf
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| _version_ | 1819072663872602112 |
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| author | Abdul RASHID Koire TWAHA |
| author_facet | Abdul RASHID Koire TWAHA |
| author_sort | Abdul RASHID |
| collection | DOAJ |
| description | This paper attempts to investigate the determinants of productivity in
microfinance institutions (MFIs) in India using the empirical Bayesian technique. To do
this, we utilize an unbalanced panel dataset covering the period 2005-2011 with 292
observations from 64 institutions. Based on theoretical grounds, three broad factors are
specified: institutional characteristics, outreach, and efficiency. We find convincing
evidence that institutional characteristics and outreach have both positive and negative
effects on the productivity of MFIs, depending on the proxy used in the analysis.
However, the efficiency of MFIs affects the productivity negatively. Specifically, we find
that the age of the institution positively influences the productivity by 6.1581 points, while
number of offices and number of personnel negatively affect it by 26.41% and 8.77%,
respectively. Of the outreach variables, numbers of active borrowers positively influence
productivity by 0.04%, whereas average loan size appears to have an inverse relationship
with productivity. We further find that cost per loan – a proxy for efficiency, has a
negative and statistically significant impact of 1.9604 points on the productivity of MFIs.
Overall, our investigation suggests that there is a need to build client confidence and
pursue innovative credit delivery techniques in reaching out to the poor and achieving
high levels of productivity. |
| first_indexed | 2024-12-21T17:41:19Z |
| format | Article |
| id | doaj.art-78d4330ed1ab4fdfbb04807bf1b74b04 |
| institution | Directory Open Access Journal |
| issn | 1841-8678 1844-0029 |
| language | English |
| last_indexed | 2024-12-21T17:41:19Z |
| publishDate | 2013-12-01 |
| publisher | General Association of Economists from Romania |
| record_format | Article |
| series | Theoretical and Applied Economics |
| spelling | doaj.art-78d4330ed1ab4fdfbb04807bf1b74b042022-12-21T18:55:37ZengGeneral Association of Economists from RomaniaTheoretical and Applied Economics1841-86781844-00292013-12-01XX12839618418678Exploring the determinants of the productivity of indian microfinance institutionsAbdul RASHID0Koire TWAHA1 International Islamic University, Islamabad, Pakistan International Islamic University, Islamabad, Pakistan This paper attempts to investigate the determinants of productivity in microfinance institutions (MFIs) in India using the empirical Bayesian technique. To do this, we utilize an unbalanced panel dataset covering the period 2005-2011 with 292 observations from 64 institutions. Based on theoretical grounds, three broad factors are specified: institutional characteristics, outreach, and efficiency. We find convincing evidence that institutional characteristics and outreach have both positive and negative effects on the productivity of MFIs, depending on the proxy used in the analysis. However, the efficiency of MFIs affects the productivity negatively. Specifically, we find that the age of the institution positively influences the productivity by 6.1581 points, while number of offices and number of personnel negatively affect it by 26.41% and 8.77%, respectively. Of the outreach variables, numbers of active borrowers positively influence productivity by 0.04%, whereas average loan size appears to have an inverse relationship with productivity. We further find that cost per loan – a proxy for efficiency, has a negative and statistically significant impact of 1.9604 points on the productivity of MFIs. Overall, our investigation suggests that there is a need to build client confidence and pursue innovative credit delivery techniques in reaching out to the poor and achieving high levels of productivity. http://store.ectap.ro/articole/934.pdf productivitymicrofinance institutionsefficiencyoutreachempirical Bayesian estimation technique |
| spellingShingle | Abdul RASHID Koire TWAHA Exploring the determinants of the productivity of indian microfinance institutions Theoretical and Applied Economics productivity microfinance institutions efficiency outreach empirical Bayesian estimation technique |
| title | Exploring the determinants of the productivity of indian microfinance institutions |
| title_full | Exploring the determinants of the productivity of indian microfinance institutions |
| title_fullStr | Exploring the determinants of the productivity of indian microfinance institutions |
| title_full_unstemmed | Exploring the determinants of the productivity of indian microfinance institutions |
| title_short | Exploring the determinants of the productivity of indian microfinance institutions |
| title_sort | exploring the determinants of the productivity of indian microfinance institutions |
| topic | productivity microfinance institutions efficiency outreach empirical Bayesian estimation technique |
| url |
http://store.ectap.ro/articole/934.pdf
|
| work_keys_str_mv | AT abdulrashid exploringthedeterminantsoftheproductivityofindianmicrofinanceinstitutions AT koiretwaha exploringthedeterminantsoftheproductivityofindianmicrofinanceinstitutions |