Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/15482
Title: Factors affecting on Lending Decisions of Microfinance Operation in Non-Banking Financial Institutions (NBFIs) in Sri Lanka
Authors: Samarawickrama, S.
Thrikawala, S.
Keywords: Lending Decisions
Microfinance
Non-Banking Financial Institutions
Sri Lanka
Issue Date: 2016
Publisher: Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka
Citation: Samarawickrama, S. and Thrikawala, S. 2016. Factors affecting on Lending Decisions of Microfinance Operation in Non-Banking Financial Institutions (NBFIs) in Sri Lanka. 4th Students’ International Conference on Business (SICB 2016), Faculty of Commerce & Management Studies, University of Kelaniya, Sri Lanka. p 03.
Abstract: This study investigates the factors that affect the lending decisions of microfinance operation in the Non-Banking Financial Institutions (NBFIs) in Sri Lanka. Microfinance sector of the country can be identified as an important sub-sector of the financial system. NBFIs operating in the micro-finance sector in Sri Lanka provide loan facilities for people who cannot obtain those facilities from formal banking system in Sri Lanka. Based on the people’s needs and expectations microfinance sector can be developed as a lucrative business while maintaining an effective financial and economic stability in the country. Many studies have showed that the lending organizations have been encountered with severe difficulties when recovering microfinance loans and facilities provided for the individuals and small groups. Therefore, studying such factors are highly important since they are directly related with the effective credit management by NBFIs. In the current study primary data will be collected from the credit managers of five NBFIs. Secondary data also collected from the sources like Central Bank Annual Reports and Company publications. The quantitative and qualitative techniques will be deployed when analyzing and interpreting data. SPSS statistical software has been deployed to analyze and interpret data that produce generalizations for the population. This research provides insight for the NBFIs and policy-makers in the financial system of Sri Lanka regarding factors that impact the lending decisions of microfinance operations in Sri Lanka.
URI: http://repository.kln.ac.lk/handle/123456789/15482
ISSN: 2536-8877
Appears in Collections:4th SICB -2016

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