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March 13, 2026Open Access

Methodological Evaluation and Panel-Data Estimation of Cost-Effectiveness in Kenya's Industrial Machinery Fleets (2000–2026)

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Authors

WMWanjiku MwangiKBKipchumba C. N. BettEgerton UniversityAOAoyi OchiengBotswana International University of Science and Technology

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Implication

Panel-data analysis evaluates cost-effectiveness in industrial fleets, suggesting improvements in maintenance strategies.

Key Points

  • The study aims to assess the cost-effectiveness of industrial machinery fleets in Kenya through a panel-data econometric framework.
  • Constructed an unbalanced panel dataset from maintenance logs, fuel records, and procurement databases.
  • Employed a fixed-effects estimation model to analyze total costs per hour for various machines.
  • Analyzed factors such as utilization, age, and maintenance intensity.
  • The model accounts for 74% of the variation in hourly costs.
  • Increased adherence to scheduled maintenance reduces unexpected downtime costs by 15.2%.
  • Machine age has a non-linear effect on cost-effectiveness, with notable changes after eight years.

Cite This Study

Mwangi et al. (2023) studied this question.

synapsesocial.com/papers/69b3ac1d02a1e69014ccd8f0https://doi.org/10.5281/zenodo.18967699
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Panel-Data Methodology for the Cost-Effectiveness Evaluation of Industrial Machinery Fleets in Nigeria2017
  2. 2A Policy Analysis of Cost-Effectiveness in Ghana's Industrial Machinery Fleets: A Panel-Data Estimation Framework, 2000–20262004
  3. 3Comparative Cost-Effectiveness of Maintenance Methodologies for Industrial Machinery Fleets in Kenya: A Randomised Field Trial2010
  4. 4Methodological Evaluation and Panel-Data Estimation of Efficiency Gains in Uganda's Industrial Machinery Fleets2009
  5. 5Methodological Evaluation and Panel-Data Estimation of Efficiency Gains in Uganda's Industrial Machinery Fleets2009