Factors Influencing Effective Project Financing: A Case of Financial Institutions in Kenya
Abstract
Africa is widely known to have a hybrid of markets that have little or no transparency. The financial institutions have minimal non-stringent disclosure requirements coupled with a public which has scanty levels of financial literacy. Change of interest rate has an effect on distorting the market thereby generating adverse selection. When this happens, the lenders will usually prefer to minimize their risk by offering debt to clients with higher collateral. The effect of this is a situation where financial intermediation is hampered. Throughout the year, the Private sector credit growth has been declining to close at an 8-year low of 4.3% in 2016, compared to 20.6% in 2015, not picking up even after the interest rate was changed. This was below the CBKs recommended 12-15% growth required to support economic growth and stable job creation. Once the change of the interest rates was effected, banks in Kenya have increasingly preferred to provide debt to the public sector more; the lending recorded a 10.9% increase in 2016. This study purposed to examine the factors influencing effective project financing by financial institutions in Kenya. The specific objectives of the study were to establish the impact of credit risk, credit policy, credit management practice and collateral security on the effective project financing by financial institutions in Kenya. The study utilized descriptive survey research approach. The study focused on commercial banks registered in Kenya. The target population was the top-level chief credit executive, mid-level chief credit executives and credit managers of the 44 financial institutions in Kenya which brought to a total of 132. Since the population of this study was small, census approach was used. The response rate was 91.67% representing a total number of 121 respondents out of 132 questionnaires that were distributed. SPSS was used to code and analyze the data. Correlation result of the study revealed that credit risk, credit policy, credit management and collateral security had a positive and significant association with effective project financing. A multivariate regression model was used for purposes of testing the significance of the impact the independent variables had on the dependent variables and therefore credit risk, credit policy, credit management and collateral security related factors were computed into single variables per factor by obtaining the averages of each factor. Results of regression revealed that credit risk had a positive and significant effect on project financing due to interest rate. (B=0.115, p=0.000); credit policy had a positive and significant effect on project financing. (B=0.17, p=0.000); credit management had equally a positive and significant effect on project financing (B=0.073, p=0.025.). Finally, collateral security had a positive and significant effect on project financing (B=0.149, p=0.000). The study concludes that Credit Risk, Credit policy, Credit Management and Collateral Security had a positive and significant effect on effective project financing. The study recommends that commercial banks should adjust their credit policy models which are resulting in declining financial intermediation thus directing their lending in favour of large corporate borrowers and Government thus shunning small and risky borrowers. This will ensure plain playing field for both small and large borrower’s hence smooth running of projects.
Key Words: Credit Risk, Credit Policy, Credit Management, Collateral Security, Project Financing
References
Black, E. (2011). The Relationship between Competitive Strategies and Product Quality, Journal of Industrial Management and Data Systems, 107(1), 83-86.
Black, K. (2004). Business Statistics for Contemporary Decision Making, (7thed.). New York: John Wiley.
Bodenhorn, H., Guinnane, W. & Mroz, T. (2017). Sample-Selection Biases and the Industrialization Puzzle. The Journal of Economic History, Cambridge University Press, 77(01), 171-207.
Byusa, V., & Nkusi, D. (2012). The effects of credit policy on bank performance: Evidence from selected Rwandan Commercial banks. Rwanda Journal, 26(1), 116-119.
Capera, Laura, Andres M,, & Dairo E., (2011). Efectos de los Limites a las Tasas de Interés sobre la Profundización Financiera. Financial Stability Report. Bogotá: Central Bank of Colombia.
Charles, G., & Mori, N. (2016). Effects of collateral on loan repayment: evidence from an informal lending institution. Journal of African Business, 17(2), 254-272.
Dewatripont, M., & J. Tirole, (2004).The economics of career concerns. Part 1. Comparing information structures. Review of economics studies, 66(3), 183-198.
Dong, H.P. (2010).The Relationship between Working Capital Management and Profitability. International Research Journal of Finance and Economic. 49(5) 135-156.
Ellison G., & Forster D., (2006). The Impact of Interest Rate Ceilings: The Evidence from International Experience and the Implications for Regulation and Consumer Protection in the Credit Market in Australia. London: Policies Publications.
Galindo, A., Schiantarelli V. & Weiss A., (2007). Does financial reform improve the allocation of investment? Micro evidence from developing Countries. Journal of Development Economics, 83(2), 562–587.
Geitangi, D. M. (2015). The Relationship between Credit Risk Management Practices and the Performance of Loan Portfolio of Commercial Banks in Kenya (Doctoral dissertation, University of Nairobi).
Githaiga, J. W. (2015). Effects of credit risk management on the financial performance of commercial banks in Kenya. Master Bus Adm University of Nairobi, 8 (5), 91-105.
Haron, H, Said, S, Jayaraman, K., & Ismail, I. (2013). Factors Influencing Small Medium Enterprises (SMES) in Obtaining Loan. International Journal of Business and Social Science, 4(15), 182–195.
Ismail K., (2012). Value for Money (VFM) Assessment Framework for Public Private Partnership (PPP) Approach. (Unpublished PhD Thesis, University Technology MARA)
Japhet, B. O., & Memba, F. (2015). Influence of collaterals used by small and medium microenterprises on loan performance of commercial banks in Kisii County, Kenya. International Journal of Economics, Commerce and Management. 3(11) 889-902.
Kibobo, G. W. (2017). Interest Rate change and Performance of Financial Institutions in Kenya: A Case Study of Equity Bank, Unpublished PhD Thesis, The Management University of Africa, Kenya.
Korir, G. (2010). The effect of credit hazard administration hones on the money related execution of Deposit Taking Microfinance organizations, Unpublished Doctoral Dissertation, University of Nairobi, Kenya.
Liberti, J. M., & Mian, A. R. (2010). Collateral spread and financial development. The Journal of Finance, 65(1), 147-177.
Maimbo, S., Henriquez G., & Claudia A., (2014). Interest Rate Caps around the World: Still Popular, but a Blunt Instrument. Policy Research. World Bank Group, Washington, DC.7070.
Makori, O. G. (2015). Effects of Credit Risk Management Practices on Profitability of Deposit Taking Sacco’s In Nairobi County, Doctoral dissertation, The Management University of Africa, Kenya.
Mbua, S. N. (2017). Effect of interest rates change by the Central Bank of Kenya on the banks listed on the Nairobi Securities Exchange, Doctoral dissertation, United States International University-Africa, Kenya.
Miller, J., (2013). Intellectual property box regimes: effective tax rates and tax policy considerations. International Tax and Public Finance, 22(3), 502-530.
Musyoki, D., & Kadubo, A. S. (2012). The impact of credit risk management on the financial performance of banks in Kenya for the period. International Journal of Business and Public Management, 2(2), 72-80.
Njoroge, P. (2016). Factors influencing tax revenue growth at Kenya Revenue Authority: A case of Meru station. International Academic Journal of Economics and Finance, 2(1), 1-15.
Ntiamoah,P. E., Diana, F. & Kwamega, E. (2014). Assessment of the Relationship between Credit Management Practices and Loan Performance. Journal of Risk Finance, 8(3), 56- 71
Osemene, Y. & Abdulraheem, A. (2011). Effectiveness of Microfinance Banks in Alleviating Poverty in Kwara State Nigeria. Global Journal of Management and Business Research 11 (4), 121-134.
Owizy, S. (2013).The Impact of Credit Management on Financial Performance of Nigerian Banks, With Particular Reference to UBA Plc. Journal of Banking and Finance 30(21), 1463-1474.
Porteous C., Daryl C., & Jeff A. (2010). Interest Rate Policy. Policy Framing, Financial Access Initiative, 4 (3), 86-112.
Richard, R., Scott, G., & William, F., (2013). Microcredit Interest Rates and Their Determinants. 2004–2011. Berlin: Springer.
Scott, A., & Wild, C. (1986). Fitting logistic models under case-control or choice based
sampling. Journal of the Royal Statistical Society, 56(48), 170-182.
Taborda, J. (2016). Trading Economics. Retrieved March 01, 2018, from Trading Economics http://www.tradingeconomics.com.
UN ESCAP. (2011). A Guidebook on Public-Private Partnership in Infrastructure. Bangkok Thailand.