Vol. 2009 No. 1 (2009)

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Panel Data Estimation for Yield Improvement in Kenyan Manufacturing Plants Systems: An Integrated Methodological Evaluation

Kaberia Wambugu, Kenya Agricultural and Livestock Research Organization (KALRO) Mwihaki Kinyanjui, International Centre of Insect Physiology and Ecology (ICIPE), Nairobi Oluoch Agutaynek, International Centre of Insect Physiology and Ecology (ICIPE), Nairobi
DOI: 10.5281/zenodo.18899359
Published: August 3, 2009

Abstract

Manufacturing plants in Kenya face challenges in achieving optimal yield efficiency. A mixed-method approach combining econometric techniques with statistical modelling to analyse Kenyan manufacturing yield data over time. Panel data estimation revealed a 7% increase in yield efficiency when incorporating advanced control variables into the model, indicating significant room for improvement in current practices. The integrated methodological evaluation highlights promising avenues for enhancing yield performance in Kenyan manufacturing systems through strategic intervention and continuous monitoring. Implementing targeted interventions based on identified key drivers of yield efficiency can lead to substantial improvements in future productivity outcomes. 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

Kaberia Wambugu, Mwihaki Kinyanjui, Oluoch Agutaynek (2009). Panel Data Estimation for Yield Improvement in Kenyan Manufacturing Plants Systems: An Integrated Methodological Evaluation. African Logistics and Supply Chain (Business/Engineering crossover), Vol. 2009 No. 1 (2009). https://doi.org/10.5281/zenodo.18899359

Keywords

Panel Data AnalysisEconometricsTime SeriesMultivariate RegressionStochastic Frontier AnalysisFactorial DesignSpatial Econometrics

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Vol. 2009 No. 1 (2009)
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African Logistics and Supply Chain (Business/Engineering crossover)

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