2020
DOI: 10.4236/ajibm.2020.107081
|View full text |Cite
|
Sign up to set email alerts
|

Determinants of Bank Lending Interest Rates in Tanzania

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 perc… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

6
7
1

Year Published

2022
2022
2023
2023

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(14 citation statements)
references
References 21 publications
6
7
1
Order By: Relevance
“…Cucinelli's (2015) study of the Italian banking sector was more robust as it included both listed and unlisted banks, as well as commercial and cooperative banks. Similar to Mbowe et al (2020), Cucinelli (2015) found the effect of impaired loans and loan loss provision ratio significant.…”
Section: Mbowe Et Al (2020) Examined the Major Determining Factors Of...supporting
confidence: 63%
“…Cucinelli's (2015) study of the Italian banking sector was more robust as it included both listed and unlisted banks, as well as commercial and cooperative banks. Similar to Mbowe et al (2020), Cucinelli (2015) found the effect of impaired loans and loan loss provision ratio significant.…”
Section: Mbowe Et Al (2020) Examined the Major Determining Factors Of...supporting
confidence: 63%
“…This is confirmed by Tai et al (2012) who find that the rate of transmission from money market rates to deposit and lending rates was moderate and sluggish across economies in Asia. A similar conclusion is reached by Dube and Zhou (2014) for the case of South Africa, Kigabo and Mwenese (2016) and Davoodi et al (2013) for East Africa as a region, Ngoma and Chanda (2022) for the case of Zambia, Sande and Apaa Okello (2013) for Uganda, Misati et al (2011) for Kenya, Kigabo (2018) for Rwanda as well as Mbowe (2015) and Bashagi et al (2019) the case of Tanzania. Indeed, several factors have been identified as contributing to the incomplete pass-through, including weak market structure, limited bank competition, limited financial development, and volatile exchange rate movements.…”
Section: Some Empirical Considerationssupporting
confidence: 58%
“…In addition, the literature suggests that the choice of variable to represent monetary policy stance for estimating the interest rate pass-through and transmission varies across studies. For example, Misati et al (2011) and Mbowe (2015) used changes in the 91-day Treasury bills rate as a proxy for monetary policy rate changes for Kenya and Tanzania respectively, while Ngoma and Chanda (2022) used Zambia's interbank rate and Kigabo and Mwenese (2016) used Rwanda's repo rate. On the other hand, Bashagi et al (2019) used average reserve money as an operating target in estimating monetary policy transmission in Tanzania.…”
Section: Some Empirical Considerationsmentioning
confidence: 99%
“…Wang, Lin, Werner, and Chang (2018) highlighted the importance on interest rate spread as "tool for transfer of wealth" and declared interest rate must be profitable and maintain a reasonable spread. Banking sector must try to raise savings at reasonable rates in order to lend to the borrowers at a productive rate (Mbowe, Mrema, & Shayo, 2020). Interest rate spread and profitability of the banking sector are important and having positive relationship; inferred in many studies tend to empirically decide that interest rate spread is one of the key determinants of commercial banks profitability.…”
Section: H1: Crm Index Positively Affects Bank's Performancementioning
confidence: 99%