SOCIO-DEMOGRAPHIC DETERMINANTS OF CREDIT RATIONING AT BAITUL MAAL WA TAMWIL IN INDONESIA

This study seeks to identify credit rationing socio-demographic determinants to Islamic microfinance to achieve welfare improving goals in three Bottom of the Economic Pyramid (BOP) regions: Yogyakarta, East Lombok and Makassar, South Sulawesi, Indonesia. Another primary focus of this study is to hi...

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Main Author: Permata Wulandari
Format: Article
Language:English
Published: Bank Indonesia 2019-11-01
Series:Journal of Islamic Monetary Economics and Finance
Subjects:
bop
bmt
Online Access:http://jimf-bi.org/index.php/JIMF/article/view/1156
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spelling doaj-0edd394d1b3f4779a0f4899c77b1ff7e2020-11-24T23:58:43ZengBank IndonesiaJournal of Islamic Monetary Economics and Finance2460-61462460-66182019-11-015364567210.21098/jimf.v5i3.11561156SOCIO-DEMOGRAPHIC DETERMINANTS OF CREDIT RATIONING AT BAITUL MAAL WA TAMWIL IN INDONESIAPermata WulandariThis study seeks to identify credit rationing socio-demographic determinants to Islamic microfinance to achieve welfare improving goals in three Bottom of the Economic Pyramid (BOP) regions: Yogyakarta, East Lombok and Makassar, South Sulawesi, Indonesia. Another primary focus of this study is to highlight the suggested solutions from Islamic microfinance practitioners to overcome the challenges in the practice of credit rationing assessment. 2,650 borrowers at the BOP in 26 Islamic Microfinance Institutions (MFIs) in Indonesia were selected based on cluster sampling and purposive sampling methods. A questionnaire is adapted from several previous studies. Multinomial logistics regression is used in this paper. Results show that the determinant of credit rationing based on socio-demographic factors, reflecting certain socio-demographic factors that include age, gender, account balance, dependents, salary, monthly income, formal education, access to financing facility in the previous year, distance, and years of saving, has significant influence on the probability of getting financing. Thus, in order to reduce the credit-rationing problem, the major implications from this study are that Baitul Maal wa Tamwil (BMT) should enhance the participation of women, using monthly income rather than salary determinants, provide credit plus financing and realize a one village one BMT program. The solutions would enhance the participation of BOP borrowers at BMT.http://jimf-bi.org/index.php/JIMF/article/view/1156socio-demographiccredit rationingbopbmt
collection DOAJ
language English
format Article
sources DOAJ
author Permata Wulandari
spellingShingle Permata Wulandari
SOCIO-DEMOGRAPHIC DETERMINANTS OF CREDIT RATIONING AT BAITUL MAAL WA TAMWIL IN INDONESIA
Journal of Islamic Monetary Economics and Finance
socio-demographic
credit rationing
bop
bmt
author_facet Permata Wulandari
author_sort Permata Wulandari
title SOCIO-DEMOGRAPHIC DETERMINANTS OF CREDIT RATIONING AT BAITUL MAAL WA TAMWIL IN INDONESIA
title_short SOCIO-DEMOGRAPHIC DETERMINANTS OF CREDIT RATIONING AT BAITUL MAAL WA TAMWIL IN INDONESIA
title_full SOCIO-DEMOGRAPHIC DETERMINANTS OF CREDIT RATIONING AT BAITUL MAAL WA TAMWIL IN INDONESIA
title_fullStr SOCIO-DEMOGRAPHIC DETERMINANTS OF CREDIT RATIONING AT BAITUL MAAL WA TAMWIL IN INDONESIA
title_full_unstemmed SOCIO-DEMOGRAPHIC DETERMINANTS OF CREDIT RATIONING AT BAITUL MAAL WA TAMWIL IN INDONESIA
title_sort socio-demographic determinants of credit rationing at baitul maal wa tamwil in indonesia
publisher Bank Indonesia
series Journal of Islamic Monetary Economics and Finance
issn 2460-6146
2460-6618
publishDate 2019-11-01
description This study seeks to identify credit rationing socio-demographic determinants to Islamic microfinance to achieve welfare improving goals in three Bottom of the Economic Pyramid (BOP) regions: Yogyakarta, East Lombok and Makassar, South Sulawesi, Indonesia. Another primary focus of this study is to highlight the suggested solutions from Islamic microfinance practitioners to overcome the challenges in the practice of credit rationing assessment. 2,650 borrowers at the BOP in 26 Islamic Microfinance Institutions (MFIs) in Indonesia were selected based on cluster sampling and purposive sampling methods. A questionnaire is adapted from several previous studies. Multinomial logistics regression is used in this paper. Results show that the determinant of credit rationing based on socio-demographic factors, reflecting certain socio-demographic factors that include age, gender, account balance, dependents, salary, monthly income, formal education, access to financing facility in the previous year, distance, and years of saving, has significant influence on the probability of getting financing. Thus, in order to reduce the credit-rationing problem, the major implications from this study are that Baitul Maal wa Tamwil (BMT) should enhance the participation of women, using monthly income rather than salary determinants, provide credit plus financing and realize a one village one BMT program. The solutions would enhance the participation of BOP borrowers at BMT.
topic socio-demographic
credit rationing
bop
bmt
url http://jimf-bi.org/index.php/JIMF/article/view/1156
work_keys_str_mv AT permatawulandari sociodemographicdeterminantsofcreditrationingatbaitulmaalwatamwilinindonesia
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