Methodological Evaluation of Manufacturing Plants Systems Adoption Rates Using Difference-in-Differences in Senegal

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Autores principales: Diop, Mame, Sène, Toucou
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2012
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author Diop, Mame
Sène, Toucou
author_facet Diop, Mame
Sène, Toucou
contents <p>Manufacturing plants in Senegal have been adopting various systems to enhance productivity and efficiency. The study will employ the difference-in-differences (DID) econometric model to assess system adoptions across different sectors and regions. DID will be used to compare pre- and post-intervention changes in adoption rates, accounting for potential confounders such as sector-specific economic conditions and regional disparities. The analysis reveals a significant increase of 30% in the adoption rate of automated machinery systems from baseline to intervention period across all sectors examined. The difference-in-differences model successfully demonstrates an effective method for measuring system adoptions, providing valuable insights into policy design and resource allocation in manufacturing sectors of Senegal. Policy makers should prioritise investment in training programmes for workers on new systems to ensure smooth transition and maximise benefits. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.</p>
format Recurso digital
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publishDate 2012
publisher Zenodo
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spellingShingle Methodological Evaluation of Manufacturing Plants Systems Adoption Rates Using Difference-in-Differences in Senegal
Diop, Mame
Sène, Toucou
African agriculture
productivity enhancement
econometrics
adoption rates
intervention analysis
randomized controlled trials
supply chain management
<p>Manufacturing plants in Senegal have been adopting various systems to enhance productivity and efficiency. The study will employ the difference-in-differences (DID) econometric model to assess system adoptions across different sectors and regions. DID will be used to compare pre- and post-intervention changes in adoption rates, accounting for potential confounders such as sector-specific economic conditions and regional disparities. The analysis reveals a significant increase of 30% in the adoption rate of automated machinery systems from baseline to intervention period across all sectors examined. The difference-in-differences model successfully demonstrates an effective method for measuring system adoptions, providing valuable insights into policy design and resource allocation in manufacturing sectors of Senegal. Policy makers should prioritise investment in training programmes for workers on new systems to ensure smooth transition and maximise benefits. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.</p>
title Methodological Evaluation of Manufacturing Plants Systems Adoption Rates Using Difference-in-Differences in Senegal
topic African agriculture
productivity enhancement
econometrics
adoption rates
intervention analysis
randomized controlled trials
supply chain management
url https://doi.org/10.5281/zenodo.18974049