Vol. 2012 No. 1 (2012)

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Replication Field Trial on Smallholder Farms Efficiency in Tanzania: A Methodological Evaluation

Kamwengeka Chepped, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha Simba Kashaka, Department of Software Engineering, Ardhi University, Dar es Salaam Seweza Muhire, Tanzania Wildlife Research Institute (TAWIRI)
DOI: 10.5281/zenodo.18975047
Published: July 26, 2012

Abstract

This study builds upon existing research on smallholder farms in Tanzania by employing a randomized field trial to evaluate efficiency gains. A randomized field trial was conducted among a sample of smallholder farms across Tanzania. Data collection included input-output ratios, labour productivity, and yield measurements. Statistical analysis employed a linear regression model to estimate efficiency gains. Randomization resulted in statistically significant differences (p < 0.05) in efficiency measures between treatment and control groups, indicating the efficacy of our replication methodology. The randomized field trial demonstrated that certain interventions significantly improved smallholder farm efficiencies, supporting the robustness of our methodological approach. Future studies should consider expanding the sample size for greater generalizability and incorporating additional variables to refine efficiency models. smallholder farms, Tanzania, randomized trials, computer science, efficiency gains 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.

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How to Cite

Kamwengeka Chepped, Simba Kashaka, Seweza Muhire (2012). Replication Field Trial on Smallholder Farms Efficiency in Tanzania: A Methodological Evaluation. African Management Information Systems (Business/ICT crossover), Vol. 2012 No. 1 (2012). https://doi.org/10.5281/zenodo.18975047

Keywords

TanzaniaGeographic Information SystemsSampling TheoryExperimental DesignEconometricsAgricultural EfficiencyRandomization Technique

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Vol. 2012 No. 1 (2012)
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African Management Information Systems (Business/ICT crossover)

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