African Journal of Energy Systems and Sustainable Technologies

Advancing Scholarship Across the Continent

Vol. 2009 No. 1 (2009)

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Replication Study on Microcredit Programmes for Women Farmers in Tanzanian Villages, 2009 Context

Jane Muhwe, State University of Zanzibar (SUZA) Richard Mwangi, State University of Zanzibar (SUZA) Michael Kamwita, State University of Zanzibar (SUZA)
DOI: 10.5281/zenodo.18890957
Published: April 19, 2009

Abstract

This study addresses a current research gap in Computer Science concerning Microcredit Programs for Women Farmers' Economic Outcomes and Profitability in Tanzanian Villages in Tanzania. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Microcredit Programs for Women Farmers' Economic Outcomes and Profitability in Tanzanian Villages, Tanzania, Africa, Computer Science, replication study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.

How to Cite

Jane Muhwe, Richard Mwangi, Michael Kamwita (2009). Replication Study on Microcredit Programmes for Women Farmers in Tanzanian Villages, 2009 Context. African Journal of Energy Systems and Sustainable Technologies, Vol. 2009 No. 1 (2009). https://doi.org/10.5281/zenodo.18890957

Keywords

African geographymicrofinancegender studieseconometricsqualitative methodspoverty reductionsustainable development

References