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The aim is to develop a panel-data econometric framework to analyze yield improvement in the industrial machinery sector of Senegal.

March 13, 2026Open Access

Methodological Evaluation and Panel-Data Estimation of Yield Improvement in Senegal's Industrial Machinery Fleets

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The aim is to develop a panel-data econometric framework to analyze yield improvement in the industrial machinery sector of Senegal.
Constructed an unbalanced panel dataset from maintenance logs and output records.
Modelled yield with fixed-effects estimation considering machine age, capital investment, and maintenance intensity.
Utilized cluster-robust standard errors for inference.
Found a significant positive relationship between capital investment and yield.
A 10% increase in upgrade expenditure resulted in a 3.2% yield improvement, controlling for other factors.

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Quantifies yield improvement in Senegal's industrial machinery using econometric analysis, indicating the importance of capital upgrades.

Diallo et al. (2004) studied this question.

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