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

  • Permata Wulandari Universitas Indonesia, Indonesia
  • Salina Kassim IIUM Institute of Islamic Banking and Finance, Malaysia
Keywords: socio-demographic, credit rationing, BOP, BMT

Abstract

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.

References

Ademola, M. (2014). Islamic Development Bank ’ s Microfinance Support Programme and the Growth of Small Scale Enterprises in Nigeria, 10(2), 98–107. http://doi.org/10.3968/4260

Agier, I., & Szafarz, A. (2013). Microfinance and Gender: Is There a Glass Ceiling on Loan Size? World Development, 42(May 2010), 165–181. http://doi.org/10.1016/j.worlddev.2012.06.016

Ahiawodzi, a K., & Sackey, F. G. (2010). Determinants of Credit Rationing to the Private Sector in Ghana. African Journal of Business & Economic Research, 5(1), 23–49. http://doi.org/10.5897/AJBM09.462

Al-Azzam, M., Carter Hill, R., & Sarangi, S. (2012). Repayment performance in group lending: Evidence from Jordan. Journal of Development Economics, 97(2), 404–414. http://doi.org/10.1016/j.jdeveco.2011.06.006

Ali, D. A., & Deininger, K. (2014). Causes and Implications of Credit Rationing in Rural Ethiopia: The Importance of Zonal Variation. Journal of African Economies, 23(4), 493–527. http://doi.org/10.1093/jae/eju008

Arundina, T. (2015). Asset-Based Sukuk Rating Prediction: Towards Building Statistical and Data Mining Models. International Islamic University of Malaysia.

Awunyo-Vitor, D., Mahama Al-Hassan, R., Bruce Sarpong, D., & Egyir, I. (2014). Agricultural credit rationing in Ghana: what do formal lenders look for? Agricultural Finance Review, 74(3), 364–378. http://doi.org/10.1108/AFR-01-2013-0004

Badan Pusat Statistik. (2014). Statistik Indonesia 2014. (S. S. Demografi, Ed.). Jakarta: Badan Pusat Statistik.

Bao Duong, P., & Izumida, Y. (2002). Rural Development Finance in Vietnam: A Microeconometric Analysis of Household Surveys. World Development, 30(2), 319–335. http://doi.org/10.1016/S0305-750X(01)00112-7

Bharti, K., Sharma, V., Agrawal, R., & Sengar, A. (2014). Marketer’s Mindset: Key to Develop Bottom of the Pyramid Market. Procedia - Social and Behavioral Sciences, 133, 169–179. http://doi.org/10.1016/j.sbspro.2014.04.182

Boehe, D. M., & Cruz, L. B. (2013). Gender and Microfinance Performance: Why Does the Institutional Context Matter? World Development, 47, 121–135. http://doi.org/10.1016/j.worlddev.2013.02.012

Carling, K., & Lundberg, S. (2005a). Asymmetric Information and Distance: An Empirical Assessment of Geographical Credit Rationing. Journal of Economics and Business, 57(1), 39–59. http://doi.org/10.1016/j.jeconbus.2004.07.002

Carling, K., & Lundberg, S. (2005b). Asymmetric information and distance: an empirical assessment of geographical credit rationing. Journal of Economics and Business, 57(1), 39–59. http://doi.org/10.1016/j.jeconbus.2004.07.002

Cheng, E., & Ahmed, A. D. (2014). The demand for credit, credit rationing and the role of microfinance: Evidence from poor rural counties of China. China Agricultural Economic Review, 6(2), 295–315. http://doi.org/10.1108/CAER-07-

-0076

D’Espallier, B., Guérin, I., & Mersland, R. (2011). Women and Repayment in Microfinance: A Global Analysis. World Development, 39(5), 758–772. http://doi.org/10.1016/j.worlddev.2010.10.008

De Meza, D., & Webb, D. (2000). Does Credit Rationing Imply Insufficient Lending? Journal of Public Economics, 78(3), 215–234. http://doi.org/10.1016/S0047-2727(99)00099-7

Demirguc-Kunt, & Klapper, L. (2012). Measuring Financial Inclusion: The Global Findex Database. World Bank Policy Research Paper, 6025.

Drakos, K., & Giannakopoulos, N. (2011a). On the determinants of credit rationing: Firm-level evidence from transition countries. Journal of International Money and Finance, 30(8), 1773–1790. http://doi.org/10.1016/j.jimonfin.2011.09.004

Drakos, K., & Giannakopoulos, N. (2011b). On the determinants of credit rationing: Firm-level evidence from transition countries. Journal of International Money and Finance, 30(8), 1773–1790. http://doi.org/10.1016/j.jimonfin.2011.09.004

Dubofsky, D. A. (1985). Capital Market Credit Rationing and Stock Risk. Southern Economic Journal, 52(1), 191–202.

Duca, J. V., & Rosenthal, S. S. (1991). An empirical test of credit rationing in the mortgage market. Journal of Urban Economics, 29(2), 218–234. http://doi.org/10.1016/0094-1190(91)90016-Z

Dusuki, A. W. (2008). Banking for the Poor: the Role of Islamic Banking in Microfinance Initiatives. Humanomics, 24(1), 49–66. http://doi.org/10.1108/08288660810851469

Fararah, F. S., & Al-Swidi, A. K. (2013). The Role of the Perceived Benefits on the Relationship between Service Quality and Customer Satisfaction: A Study on the Islamic Microfinance and SMEs in Yemen Using PLS Approach. Asian Social Science, 9(10), 18–37. http://doi.org/10.5539/ass.v9n10p18

Ferri, G., & Murro, P. (2014). Do firm–bank “odd couples” exacerbate credit rationing? Journal of Financial Intermediation. http://doi.org/10.1016/j.jfi.2014.09.002

Fletschner, D. (2009). Rural Women’s Access to Credit: Market Imperfections and Intrahousehold Dynamics. World Development, 37(3), 618–631. http://doi.org/10.1016/j.worlddev.2008.08.005

Hsieh, S. H., Li, C. S., & Lee, S. M. (2013). Logistic Regression with Outcome and Covariates Missing Separately or Simultaneously. Computational Statistics and Data Analysis, 66, 32–54. http://doi.org/10.1016/j.csda.2013.03.007

J. Verteramo Chiu, L., V. Khantachavana, S., & G. Turvey, C. (2014). Risk Rationing and the Demand for Agricultural Credit: A Comparative Investigation of Mexico and China. Agricultural Finance Review, 74(2), 248–270. http://doi.org/10.1108/AFR-05-2014-0011

Jaffee, D. M., & Russell, T. (1976). Imperfect Information , Uncertainty , and Credit Rationing. The Quarterly Journal of Economics, 90(4), 651–666.

Jia, X., Heidhues, F., & Zeller, M. (2010a). Credit rationing of rural households in China. Agricultural Finance Review, 70(1), 37–54. http://doi.org/10.1108/00021461011042620

Jia, X., Heidhues, F., & Zeller, M. (2010b). Credit rationing of rural households in China. Agricultural Finance Review, 70(1), 37–54. http://doi.org/10.1108/00021461011042620

Khoi, P. D., Gan, C., Nartea, G. V., & Cohen, D. a. (2013). Formal and informal rural credit in the Mekong River Delta of Vietnam: Interaction and accessibility. Journal of Asian Economics, 26, 1–13. http://doi.org/10.1016/j.asieco.2013.02.003

Krejcie, R. V, & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30, 607–610.

Malhotra, N. K. (1999). Marketing Research: An Applied Orientation (3rd ed., Vol. 77). Englewood Cliffs: NJ: Prentice Hall.

Martins, F., & Winkler, A. (2013). Foreign ownership in Latin American microfinance institutions: evidence and impact. Journal of Business Economics, 83(6), 665–702. http://doi.org/10.1007/s11573-013-0668-2

Mason, D. R. (2014). Who Gets What? Determinants of Loan Size and Credit Rationing Among Microcredit Borrowers: Evidence From Nicaragua. Journal of International Development, 90(February 2013), 77–90. http://doi.org/10.1002/

jid

Menkhoff, L., & Rungruxsirivorn, O. (2011). Do Village Funds Improve Access to Finance? Evidence from Thailand. World Development, 39(1), 110–122. http://doi.org/10.1016/j.worlddev.2010.09.002

Mijid, N., & Bernasek, A. (2013). Gender and the credit rationing of small businesses. The Social Science Journal, 50(1), 55–65. http://doi.org/10.1016/j.soscij.2012.09.002

Mirghani, M., Mohammed, M., Bhuiyan, A. B., & Siwar, C. (2011). Islamic Microcredit And Poverty Alleviation In The Muslim World : Prospects And Challenges. Australian Journal of Basic and Applied Sciences, 5(9), 620–626.

Mittlböck, M., & Heinzl, H. (2001). A Note on R2 Measures for Poisson and Logistic Regression Models When Both Models are Applicable. Journal of Clinical Epidemiology, 54(1), 99–103. http://doi.org/10.1016/S0895-4356(00)00292-4

Moruf O, O., & S, O. K. (2014). Cooperative Financing Method and Microfinance Banks in Nigeria: Modeling Relationship for Credit Delivery Efficiency. Journal of Emerging Trends in Economics and Management Sciences, 5(7), 67–72.

Mughal, Z. (2014). Poverty in Muslim World is Rapidly Increasing. Humanomics (Vol. 29). Retrieved from http://www.alhudacibe.com/imhd/news22.php

Nieri, L. (2005). 2 Access to Credit : the Difficulties of Households. Papias, M. M., & Ganesan, P. (2009). Repayment Behaviour in Credit and Savings Cooperative Societies: Empirical and Theoretical Evidence from Rural

Rwanda. International Journal of Social Economics, 36(5), 608–625. http://doi.org/10.1108/03068290910954059

Papias, M. M., & Ganesan, P. (2010a). Financial services consumption constraints: Empirical evidence from Rwandan rural households. Journal of Financial Services Marketing, 15(2), 136–159. http://doi.org/10.1057/fsm.2010.11

Papias, M. M., & Ganesan, P. (2010b). Financial services consumption constraints: Empirical evidence from Rwandan rural households. Journal of Financial Services Marketing, 15(2), 136–159. http://doi.org/10.1057/fsm.2010.11

Peng, C. J., Lee, K. L., & Ingersoll, G. M. (2002). An Introduction to Logistic Regression Analysis and Reporting. The Journal of Educational Research but, 2(1), 3–14.

Petrick, M. (2004). Farm Investment, Credit Rationing, and Governmentally Promoted Credit Access in Poland: A Cross-Sectional Analysis. Food Policy, 29(3), 275–294. http://doi.org/10.1016/j.foodpol.2004.05.002

Prahalad, C. K., & Hart, S. L. (2002). The Fortune at the Bottom of the Pyramid. Booz Allen Hamilton Inc.

Rahman, A. R. A. (2010). Islamic microfinance: an ethical alternative to poverty alleviation. Humanomics, 26(4), 284–295. http://doi.org/10.1108/08288661011090884

Rokhman, W. (2013). Baitul mal wat tamwil (bmt) and poverty empowerment. Qudus International Journal of Islamic Studies, 1(2), 181–196.

Rulindo, R. (2012). Assessing The Impact Of Islamic Microfinancing On Clients’ Income And Poverty Status With Reference to Clients’ Spirituality And Religiousity in Jakarta, Indonesia. IIUM.

Saad, N., & Anuar, A. (2014). “Cash Waqf” and Islamic Microfinance. In Islam and Civilizational Renewal: The Global Financial Crisi (pp. 337–394). Pluto Journals.

Shankar, S. (2013). Financial Inclusion in India : Do Microfinance Institutions Address Access Barriers ? Financial Inclusion : Importance and Common Barriers. ACRN Journal of Entrepreneurship Perspectives, 2(1), 60–74.

Shaw, J. (2004). Microenterprise Occupation and Poverty Reduction in Microfinance Programs: Evidence from Sri Lanka. World Development, 32(7), 1247–1264. http://doi.org/10.1016/j.worlddev.2004.01.009

Stiglitz, J. E., & Weiss, A. (1981). Credit Rationing in Markets with Imperfect Information. The American Economic Review, 71(3), 393–410.

Stiglitz, J. E., Weiss, A., & Stiglitz, B. J. E. (1987). Credit Rationing: Reply. The American Economic Review, 77(1), 228–231.

Strauss, D. (1992). The Many Faces of Logistic Regression. The American Statistician, 46(4), 321–327. Retrieved from http://www.jstor.org/stable/2685327

Togba, E. L. (2012a). Microfinance and Households Access to Credit: Evidence from Côte d’Ivoire. Structural Change and Economic Dynamics, 23(4), 473–486. http://doi.org/10.1016/j.strueco.2012.08.002

Togba, E. L. (2012b). Microfinance and households access to credit: Evidence from Côte d’Ivoire. Structural Change and Economic Dynamics, 23(4), 473–486. http://doi.org/10.1016/j.strueco.2012.08.002

Turvey, C. G., He, G., Kong, R., Ma, J., & Meagher, P. (2011). The 7 Cs of rural credit in China. Journal of Agribusiness in Developing and Emerging Economies, 1(2), 100–133. http://doi.org/10.1108/20440831111167146

Vasimalai, M. P., & Narender, K. (2007). Microfinance for Poverty Reduction : The Kalanjiam Way. Economic and Political Weekly, 42(13), 1190–1195.

Verma, N., & Anand Pathak, A. (2011). Using appreciative intelligence for ice breaking. Journal of Workplace Learning, 23(4), 276–285. http://doi.org/10.1108/13665621111128682

Zeller, M. (1994). Determinants of credit rationing: A study of informal lenders and formal credit groups in Madagascar. World Development, 22(12), 1895–1907. http://doi.org/10.1016/0305-750X(94)90181-3

Published
2019-11-01
How to Cite
Wulandari, P., & Kassim, S. (2019). SOCIO-DEMOGRAPHIC DETERMINANTS OF CREDIT RATIONING AT BAITUL MAAL WA TAMWIL IN INDONESIA. Journal of Islamic Monetary Economics and Finance, 5(3), 645-672. https://doi.org/10.21098/jimf.v5i3.1156
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Articles