Published October 5, 2026 | Version v1

Optimism Bias, Over-Indebtedness and Default Risk in Informal Lending Groups: Evidence from South Sudan

Authors/Creators

  • 1. Author: Makoi Majok Toch | Affiliation: University of Juba, School of Community Studies and Rural Development

Description

Informal lending groups are often celebrated as locally embedded answers to financial exclusion, but their developmental value depends on whether borrowing remains productive and repayable. Objective: This article examines optimism bias, over-indebtedness and default risk in Community Group Saving and Lending (CGSL) groups in rural South Sudan. The study uses a mixed-methods article conversion design based on 85 sampled respondents, 81 valid questionnaire returns and 17 qualitative interviews. Methods: Descriptive statistics, mean-score interpretation, chi-square tests, logistic regression and constructed behavioural-risk indices were used to interpret the relationship between credit access, investment optimism and repayment vulnerability. Results: Inferential findings further showed that CGSL participation was significantly associated with productivity indicators (chi-square = 15.92, p = 0.0001), while access to CGSL credit significantly increased the likelihood of investment in modern agricultural technologies (beta = 1.9459, p = 0.026; odds ratio approximately 7.00). These results confirm that credit matters, but the article argues that credit expansion without repayment realism can convert investment optimism into over-indebtedness. Conclusion: Respondents strongly agreed that rural finance makes a difference to productivity (overall mean = 4.58), that working capital scarcity constrains investment (mean = 4.68), that technology is capital intensive (mean = 4.29), and that credit is a prerequisite for technology adoption (mean = 4.02).

Files

editorial_report.pdf

Files (18.6 MB)

Name Size
md5:19173ba63e7461533eaf7c1f3d0da53e
4.0 MB Download
md5:fad8aae7066ff99633517400a567c739
81.8 kB Preview Download
md5:1b660839e929fa8fbd2c69b38e2889a2
4.0 MB Download
md5:76c70988f764afe931122f1706531403
6.5 MB Preview Download
md5:b0320e5c066124ca54d4b034c6bba185
4.0 MB Download
md5:05b9d7e452dd0aa2ea332475ba7e1f05
16.1 kB Download

Additional details

Related works