Methodological Evaluation of Industrial Machinery Fleets Systems in Ghana Using Panel Data for Efficiency Gains
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2004
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| _version_ | 1866901980029386752 |
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| author | Afriyie, Yaw Kwasi, Abena Amoako, Kofi Adowa, Adjoa |
| author_facet | Afriyie, Yaw Kwasi, Abena Amoako, Kofi Adowa, Adjoa |
| contents | <p>This study addresses a current research gap in Engineering concerning Methodological evaluation of industrial machinery fleets systems in Ghana: panel-data estimation for measuring efficiency gains in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of industrial machinery fleets systems in Ghana: panel-data estimation for measuring efficiency gains, Ghana, Africa, Engineering, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18793097 |
| institution | Zenodo |
| language | eng |
| publishDate | 2004 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Industrial Machinery Fleets Systems in Ghana Using Panel Data for Efficiency Gains Afriyie, Yaw Kwasi, Abena Amoako, Kofi Adowa, Adjoa Sub-Saharan Ghanaian econometrics stochastic frontier productivity panel data efficiency analysis <p>This study addresses a current research gap in Engineering concerning Methodological evaluation of industrial machinery fleets systems in Ghana: panel-data estimation for measuring efficiency gains in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of industrial machinery fleets systems in Ghana: panel-data estimation for measuring efficiency gains, Ghana, Africa, Engineering, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p> |
| title | Methodological Evaluation of Industrial Machinery Fleets Systems in Ghana Using Panel Data for Efficiency Gains |
| topic | Sub-Saharan Ghanaian econometrics stochastic frontier productivity panel data efficiency analysis |
| url | https://doi.org/10.5281/zenodo.18793097 |