Abstract
The study seeks to examine the determinants of bank lending interest rates in Tanzania, largely focusing on identifying the key determinants and their relative importance. Techniques employed comprise interest rates decomposition and econometric estimation using banks’ annual balance sheet data. Results on interest rates decomposition suggest that, the main drivers of lending rates are operating costs, non-performing loans; and costs of funds (deposits interest rates). The three factors accounted for 70.4 percent of small banks’ average lending rates in 2014-17; while for medium and large banks, they constituted about 69.5 percent and 67.4 percent of the lending rates, respectively. Statutory minimum requirement ratio (SMR) appears to play an important role in all banks’ lending rates, but its share has been declining overtime consistent with the expansionary monetary policy measures pursued since 2014. With respect to econometric estimations, the findings confirm the role of operating costs, non-performing loans, and cost of funds in explaining bank lending rates dynamics. Operating costs, cost of funds, and inflation have a statistically significant positive effect on bank lending rates, while bank size and level of liquidity have a negative influence. SMR ratio is statistically significant but bears a negative sign except for locally owned banks. In relative importance, the main determinants of bank lending rates could be ranked as follows: inflation with an average positive impact of 0.432 on lending rates for a unit change in inflation, trailed by operating costs (0.261), and cost of funds (0.255). Bank size has the largest negative effect of 0.288 for every unit increase in the variable. The implication of the findings is that effort should be directed at improving operational efficiency aiming at reducing banks operating costs. The key areas of attention are with respect to employees’ salaries and benefits, as well as rental and depreciation expenses related to premises and equipment. Banks may consider to take advantage of ICT advancement in the country to cut on costs of “mortal and brick” and employees. Priority could be put on utilizing the growing agent banking framework, and digital banking technology. Prudent consolidation of small banks could as well help cut on operating costs, improve efficiency, and enhance liquidity levels. Measures need to be taken to reduce non-performing loans including through enhancing borrowers screening mechanisms enabled by credit risk management frameworks at bank level and mandatory use of credit reference system to reduce credit risk. Strengthening of the regulatory and supervisory role is important mostly targeting to ensure adequate liquidity in the banking system for daily needs. It is recommended to cautiously reduce SMR so as to enhance banks’ lending capacity.
Highlights
Tanzania embarked on a series of financial reforms in the 1990s with a view to supporting the development of a market-based financial sector (Bank of Tanzania [BoT], 2011)1
The study seeks to examine the determinants of bank lending interest rates in Tanzania, largely focusing on identifying the key determinants and their relative importance
With respect to econometric estimations, the findings confirm the role of operating costs, non-performing loans, and cost of funds in explaining bank lending rates dynamics
Summary
Tanzania embarked on a series of financial reforms in the 1990s with a view to supporting the development of a market-based financial sector (Bank of Tanzania [BoT], 2011). The ratio of banks credit to the private sector to gross domestic product (GDP) increased from 4.1 percent in 2001 to 16.0 percent in 2016 (Mbowe, 2018). In 2017 for example, the share of credit to GDP for Kenya was 29.3 percent while those of Mozambique, Namibia, and South Africa were 25.64 percent, 63.76 percent and 147.7 percent, respectively. The lower middle-income group to which Tanzania has graduated and the aspired middle-income group registered 43.7 percent and 99.3 percent of GDP, respectively. Cihak and Podpiera (2005) attribute the limited extent of lending in Tanzania to high intermediation costs including interest rate spreads, which according to Manamba (2014), are significantly higher after the adoption of financial liberalization.
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