Small Loans, Large Stakes: How Microfinance Shapes Household Welfare in Rural Tanzania — A Case Study of FINCA International in Segese Village, Kahama District
Year: 2026
Type: article
Study design: Observational Study
Abstract: Microfinance is widely promoted as a tool for reducing poverty and expanding financial inclusion in developing economies; however, evidence on its actual impact on rural households remains mixed. This study examines the contribution of microfinance institutions to rural welfare through a case study of FINCA International’s operations in Segese village, Kahama District, Tanzania. Using a mixed-methods design, primary data were collected from 109 respondents — a combination of FINCA clients and FINCA loan officers — through structured questionnaires and semi-structured interviews, supplemented by a documentary review. Data were analysed descriptively using SPSS, alongside thematic analysis of qualitative interview material. The findings show that microloans have a broadly positive influence on rural welfare, improving household spending on food, health, and education, and supporting business expansion through increased marketing investment and product diversification. At the same time, borrowers face persistent obstacles: short repayment periods, small loan ceilings, expensive collateral requirements, and interest rates that many respondents considered high, alongside language barriers between clients and loan officers. Nearly half of respondents reported an improved capacity to save as a result of participating in microfinance, which in turn strengthened financial resilience and access to further credit. The study argues that microfinance institutions can deepen their contribution to rural welfare by diversifying acceptable forms of collateral, strengthening client-facing financial literacy and savings programmes, and adopting more transparent, borrower-sensitive interest-rate structures.
Author: MCHONVU, DOREEN
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7171815436
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