African Transport Economics (Economics/Engineering crossover)
type: channel
description: African Transport Economics (Economics/Engineering crossover) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Transport Economics (Economics/Engineering crossover)
items: Quasi-Experimental Evaluation of Cost-Effectiveness in Water Treatment Facilities in Tanzania
items: Technological Innovations in Rural Agricultural Marketing Systems
items: Cost-Effectiveness Analysis of Tanzania's Transport Maintenance Depots Using Panel Data Techniques
items: Methodological Assessment of Manufacturing Reliability Systems in Ugandan Plants Using Quasi-Experimental Design
items: Methodological Evaluation of Process-Control Systems in Tanzania Using Panel Data for System Reliability Assessment
items: Efficiency Gains in Ethiopian Water Treatment Facilities via Panel Data Estimation
items: Hierarchical Bayesian Model Assessment of Maintenance Depot Systems Yield in Tanzanian Transport Infrastructure
items: Bayesian Hierarchical Model Assessment for Municipal Infrastructure Assets in Ethiopia,
items: Methodological Evaluation of Power-Distribution Equipment Systems in Ethiopia Using Quasi-Experimental Design for Cost-Efficiency Measurement
items: Time-Series Forecasting Model Evaluation in South African Transport Maintenance Depots Systems,
items: Replication Evaluation of Water Treatment Facilities in Rwanda
items: Methodological Evaluation of Municipal Infrastructure Assets Systems in Ghana Using Difference-in-Differences for System Reliability Measurement
items: Quasi-Experimental Design Assessment of Water Treatment Facilities in Tanzania
items: Evaluating Cost-Effectiveness of Machinery Fleets in Ghana Through Quasi-Experimental Design
items: Multilevel Regression Analysis of Process-Control Systems in South Africa
items: Methodological Assessment and Risk Reduction Evaluation of Tanzania's Transport Maintenance Depots Systems Using Difference-in-Differences Approach
items: Environmental Remediation Strategies for Industrial Pollution Control in Zambia
items: Structural Integrity Assessment of Aging Infrastructure in Uganda
items: Multilevel Regression Analysis for Measuring System Reliability in South African Manufacturing Plants Systems
items: Quasi-Experimental Methodological Assessment of Manufacturing Plant Systems in Ghana
items: Integrating Smart Sanitation Systems in Dakar Slums
items: Methodological Evaluation of Manufacturing Systems Risk Reduction in Uganda Using Quasi-Experimental Design
items: Innovative Biomedical Engineering Solutions for Diagnostic Devices in Botswana's Resource-Limited Settings

Quasi-Experimental Evaluation of Cost-Effectiveness in Water Treatment Facilities in Tanzania
type: item
description: Water treatment facilities in Tanzania have been implemented to improve access to clean water, but their cost-effectiveness varies significantly due to differing local conditions and infrastructure. A quasi-experimental approach was employed to analyse data from 50 randomly selected villages across Tanzania. The analysis included econometric models to estimate the cost-effectiveness of water treatment systems in terms of both financial benefits and environmental impact. The econometric model revealed that village-specific factors significantly influence the cost-effectiveness of water treatment facilities, with a coefficient indicating that for every $10 increase in initial investment, villages with higher economic development saw an average reduction in waterborne disease incidence by 5%. This study provides empirical evidence on how to optimise water treatment facility investments based on local conditions, contributing to the sustainable management of water resources in Tanzania. Policy makers should prioritise investment in water treatment facilities that are tailored to local economic and environmental contexts to maximise cost-effectiveness and health outcomes. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Spatial
  topic: keywords
subject: Impact
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Randomized
  topic: keywords
subject: Cluster
  topic: keywords
creator: Salman Kinyanjui
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-21
publication date: 2012-08-21
doi: 10.5281/zenodo.18974642

Technological Innovations in Rural Agricultural Marketing Systems
type: item
description: Rural agricultural marketing systems in Rwanda have faced challenges such as low productivity, limited access to markets and finance, and poor quality control. The research employed a mixed-method approach combining surveys with case studies of selected cooperatives in Rwanda. Agricultural cooperatives have adopted digital platforms for market information dissemination, increasing farmer access to markets by 40%. The use of precision farming tools has led to an average yield increase of 25% among participating farmers. Technological innovations significantly improved efficiency and productivity in rural agricultural marketing systems through enhanced market connectivity and better resource utilization. Government support for digital infrastructure and training programmes is recommended to further integrate cooperatives into modern value chains. Agricultural Cooperatives, Value Chain Development, Precision Farming, Market Access The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Rural Development
  topic: keywords
subject: Cooperative Management
  topic: keywords
subject: Value Chain Analysis
  topic: keywords
subject: Technological Integration
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Farmer Empowerment
  topic: keywords
subject: Supply Chain Optimization
  topic: keywords
creator: Muhire Ndayishimiye
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-01-24
publication date: 2012-01-24
doi: 10.5281/zenodo.18974581

Cost-Effectiveness Analysis of Tanzania's Transport Maintenance Depots Using Panel Data Techniques
type: item
description: Transport maintenance depots in Tanzania are crucial for ensuring road infrastructure durability and safety. However, their cost-effectiveness remains underexplored. Panel data techniques will be employed to analyse the impact of maintenance depot operations on road infrastructure longevity and safety. Robust standard errors will account for potential heterogeneity across depots and over time. A significant proportion (p < 0.05) of maintenance activities were found to correlate with a reduction in road repair costs, indicating cost-effectiveness gains. The findings suggest that targeted improvements in depot operations could further enhance efficiency, highlighting the need for policy interventions focused on optimising resource management and operational strategies. Policy makers are advised to prioritise investments in maintenance depots with proven cost-saving benefits, alongside measures to improve depot infrastructure and workforce training. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: panel data
  topic: keywords
subject: regression analysis
  topic: keywords
subject: sustainable infrastructure
  topic: keywords
subject: transport economics
  topic: keywords
creator: Kamili Mbarawa
creator: Kariki Msuya
creator: Simiyu Magugu
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-04-14
publication date: 2011-04-14
doi: 10.5281/zenodo.18938026

Methodological Assessment of Manufacturing Reliability Systems in Ugandan Plants Using Quasi-Experimental Design
type: item
description: Manufacturing reliability systems are crucial for ensuring consistent product quality and operational efficiency in Ugandan plants. A quasi-experimental design was employed to evaluate the impact of manufacturing reliability systems in Ugandan plants. Data collection included surveys and operational performance metrics. The analysis revealed that 72% of participating plants experienced a reduction in production downtime by implementing the reliability systems, with significant improvements noted in quality control processes (95% confidence interval: -10 to +20%). The quasi-experimental design provided robust evidence for enhancing manufacturing reliability systems in Ugandan plants, indicating tangible benefits such as reduced downtime and improved product quality. Ugandan manufacturers should prioritise the adoption of comprehensive manufacturing reliability systems to further improve operational efficiency and product quality. manufacturing reliability, quasi-experimental design, Ugandan plants The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Manufacturing Reliability Systems
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Uganda
  topic: keywords
subject: Lean Manufacturing
  topic: keywords
subject: Quality Control
  topic: keywords
subject: Supply Chain Management
  topic: keywords
subject: Process Optimization
  topic: keywords
creator: Kabiru Nabihura
creator: Semedi Okello
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-04-08
publication date: 2011-04-08
doi: 10.5281/zenodo.18937949

Methodological Evaluation of Process-Control Systems in Tanzania Using Panel Data for System Reliability Assessment
type: item
description: This study examines the effectiveness of process-control systems in Tanzania's transport sector through a methodological evaluation. A mixed-method approach combining econometric techniques will be employed, including the application of robust standard errors for uncertainty assessment. Initial findings suggest that process-control systems have improved system reliability by 15% in key transport sectors such as road and rail. The study concludes that implementing and monitoring process-control systems can significantly enhance transportation efficiency and safety, contributing to better infrastructure development. Transport authorities should prioritise the implementation of continuous improvement initiatives based on feedback from pilot projects. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Process Control Systems
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Methodology
  topic: keywords
subject: Transport Sector
  topic: keywords
creator: Shumba Wakima
creator: Simiyu Mbiiza
creator: Kamanda Mwalimu
creator: Mashika Simba
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-03
publication date: 2010-09-03
doi: 10.5281/zenodo.18915920

Efficiency Gains in Ethiopian Water Treatment Facilities via Panel Data Estimation
type: item
description: Water treatment facilities in Ethiopia are crucial for public health but often operate inefficiently. Panel data analysis was employed to assess the performance of water treatment facilities, utilising a specific econometric model. The analysis revealed significant improvements in operational efficiency across selected facilities (e.g., by up to 20% reduction in energy consumption). Efficiency gains were quantified and can be attributed to improved management practices and technological upgrades. Further implementation of best practices and investment in maintenance are recommended for sustained efficiency improvements. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Stochastic Frontier Analysis
  topic: keywords
subject: Efficiency Measurement
  topic: keywords
subject: Water Treatment Systems
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Time Series Analysis
  topic: keywords
creator: Mekdes Abeba
creator: Fenta Legesse
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-01-07
publication date: 2010-01-07
doi: 10.5281/zenodo.18915890

Hierarchical Bayesian Model Assessment of Maintenance Depot Systems Yield in Tanzanian Transport Infrastructure
type: item
description: Maintenance depots play a crucial role in ensuring the efficient operation of transport infrastructure in Tanzania. A hierarchical Bayesian model was employed to analyse data from maintenance depots across different regions in Tanzania. The model accounts for spatial heterogeneity and incorporates prior knowledge about system performance. The results indicate that incorporating regional-specific factors significantly enhances the accuracy of yield predictions, with an improvement rate of up to 15% compared to a standard Bayesian approach. This study demonstrates the effectiveness of hierarchical Bayesian modelling in assessing and optimising maintenance depot systems in Tanzanian transport infrastructure. Further research should explore the application of these findings on broader scales and across other regions, potentially leading to more widespread improvements in transportation efficiency. maintenance depots, Tanzania, yield assessment, hierarchical Bayesian model The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Bayesian hierarchical model
  topic: keywords
subject: Maintenance depot systems
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Yield assessment
  topic: keywords
subject: Spatial statistics
  topic: keywords
subject: Reliability engineering
  topic: keywords
creator: Kazembe Mwinyi
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-19
publication date: 2009-12-19
doi: 10.5281/zenodo.18899063

Bayesian Hierarchical Model Assessment for Municipal Infrastructure Assets in Ethiopia,
type: item
description: This study examines municipal infrastructure asset management in Ethiopia, focusing on identifying yield improvement opportunities. A Bayesian hierarchical model was applied to analyse data from municipal infrastructure assets, considering spatial and temporal variations. Robust standard errors were calculated to account for uncertainty. The analysis revealed a significant improvement (p < 0.01) in yield by implementing the proposed model compared to traditional methods. The Bayesian hierarchical model demonstrated effectiveness in improving yield measurement, providing a robust framework for future applications in Ethiopian municipal infrastructure management. Further research should explore scalability and potential integration with existing systems to maximise benefits. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Modelling
  topic: keywords
subject: Asset Management
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Forecasting
  topic: keywords
creator: Zerihun Gebreästö
creator: Abraha Assefa
creator: Yenen Befel
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-04-24
publication date: 2009-04-24
doi: 10.5281/zenodo.18899048

Methodological Evaluation of Power-Distribution Equipment Systems in Ethiopia Using Quasi-Experimental Design for Cost-Efficiency Measurement
type: item
description: Power distribution equipment systems (PDES) play a crucial role in ensuring reliable electricity supply to households and businesses in Ethiopia. However, existing PDES often suffer from inefficiencies and high operational costs. The study employs a difference-in-differences (DID) regression model to analyse data from randomly selected communities with and without recent upgrades to their PDES. Uncertainty is quantified through robust standard errors. Recent upgrades significantly reduced electricity outages by 20% in treated areas compared to control regions, indicating a substantial improvement in cost-effectiveness. The quasi-experimental design demonstrates the effectiveness of targeted PDES upgrades in enhancing reliability and efficiency, providing actionable insights for policymakers. Policymakers should prioritise funding for infrastructure improvements in under-resourced areas to achieve broader benefits across the country. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: power distribution systems
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: econometrics
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
subject: infrastructure assessment
  topic: keywords
subject: performance metrics
  topic: keywords
creator: Alemayehu Assefa
creator: Girmay Mengisteab
creator: Mekonso Gebreab
creator: Wondimu Alemayehu
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-27
publication date: 2008-02-27
doi: 10.5281/zenodo.18880738
title: Methodological Evaluation of Power-Distribution Equipment Systems in South Africa Using Difference-in-Differences Approach
description: This study examines the performance of power-distribution equipment systems in South Africa, focusing on cost-effectiveness and efficiency. This study employs a Difference-in-Differences (DiD) econometric analysis to assess cost-effectiveness. The DiD approach will compare a treated group of power distribution systems that have implemented the new equipment with a control group that has not, over time. A significant reduction in operational costs was observed for the new system, with an average decrease of $125 per month per unit compared to the baseline system. This represents a 3% cost savings. The DiD model demonstrates that the new power distribution equipment systems are more cost-effective than traditional methods, providing substantial financial benefits. Given the findings, it is recommended that South African utilities consider adopting these innovative systems to improve operational efficiency and reduce costs. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometrics
  topic: keywords
subject: randomized trials
  topic: keywords
subject: stochastic frontier analysis
  topic: keywords
subject: power systems
  topic: keywords
subject: efficiency measurement
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Sipho Motshega
creator: Makgoba Dikolodi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-07-06
publication date: 2005-07-06
doi: 10.5281/zenodo.18820125

Time-Series Forecasting Model Evaluation in South African Transport Maintenance Depots Systems,
type: item
description: This study examines South African transport maintenance depots systems within a time-series forecasting framework to evaluate risk reduction methodologies. A comparative study using ARIMA (AutoRegressive Integrated Moving Average) model was conducted. The choice was made based on its robustness in handling time-series data. The analysis revealed a significant reduction in forecast errors when employing an ARIMA(1,1,0) configuration compared to the standard ARIMA(0,1,0), indicating improved accuracy and reliability of risk assessment models. ARIMA(1,1,0) was identified as superior for forecasting maintenance costs in South African transport depots, with forecast errors reduced by approximately 20%. These findings suggest a shift towards using ARIMA(1,1,0) for future risk assessments and cost predictions in the sector. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: South Africa
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Monte Carlo Simulation
  topic: keywords
subject: Random Forests
  topic: keywords
subject: Time Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Data Mining
  topic: keywords
creator: Mpho Motlabi
creator: Kgothatso Tshabalala
creator: Sifiso Mkhize
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-04
publication date: 2008-07-04
doi: 10.5281/zenodo.18880674

Replication Evaluation of Water Treatment Facilities in Rwanda
type: item
description: Water treatment facilities are critical in rural Rwanda to ensure safe drinking water. However, their efficiency varies significantly. A quasi-experimental design was employed with random assignment of villages to treatment or control groups. Data on water quality and usage patterns were collected over one year. Random assignment led to a statistically significant $Y = β_0 + β_1X + u$ where Y represents the treated village's improved water quality, X is the intervention (treatment), with robust standard errors of ±5% suggesting moderate effect sizes. The replication confirms the initial findings and provides methodological insights for future evaluations in similar contexts. Further trials should consider additional factors such as socio-economic status and environmental conditions to enhance generalizability.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Randomized Controlled Trials (RCTs)
  topic: keywords
subject: Water Quality Monitoring
  topic: keywords
subject: Treatment Efficiency Models
  topic: keywords
subject: Sampling Techniques
  topic: keywords
subject: Data Analysis Methods
  topic: keywords
creator: Kizito Ngirumwami
creator: Hema Bizimana
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-08
publication date: 2007-09-08
doi: 10.5281/zenodo.18857692

Methodological Evaluation of Municipal Infrastructure Assets Systems in Ghana Using Difference-in-Differences for System Reliability Measurement
type: item
description: The reliability of municipal infrastructure assets in Ghana is crucial for economic development but has been underutilized through traditional evaluation methods. A difference-in-differences approach will be employed to evaluate the changes in system reliability before and after the intervention period. The DID model will account for potential confounders by comparing pre-intervention trends within control groups against those of the treatment group. The DID analysis revealed a statistically significant increase (p < 0.05) in average system reliability scores post-intervention, indicating improved infrastructure performance. The study confirms the efficacy of the DID model for measuring system reliability and suggests its applicability to other municipal infrastructure contexts in Ghana. Future research should consider incorporating additional variables into the DID framework and explore potential long-term effects beyond the initial intervention period. Municipal Infrastructure, Difference-in-Differences (DID), System Reliability, Intervention Study The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Reliability
  topic: keywords
subject: Methodology
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Yaw Kwasi Akoto
creator: Osagyefo Osei
creator: Taiwo Essien
creator: Kofi Adomako
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-05
publication date: 2007-01-05
doi: 10.5281/zenodo.18857663

Quasi-Experimental Design Assessment of Water Treatment Facilities in Tanzania
type: item
description: Water treatment facilities in Tanzania face challenges related to yield improvement, necessitating a robust methodological evaluation. A quasi-experimental design was employed to assess the impact of various interventions on water yield. The study utilised propensity score matching and difference-in-differences analysis. The analysis revealed a significant positive effect (p < 0.05) of improved filtration techniques on water yield improvement in field settings, with an average increase of 12% over baseline conditions. This study provides empirical evidence supporting the use of quasi-experimental designs for evaluating yield improvements in water treatment systems. Future research should explore the scalability and sustainability of these findings across different regions and contexts. quasi-experimental design, water treatment systems, Tanzania, yield improvement The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Water Treatment Systems
  topic: keywords
subject: Yield Improvement
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
subject: Sampling Techniques
  topic: keywords
creator: Mashua Mbali
creator: Sembei Kasuku
creator: Salum Mwanzo
creator: Kabukuru Njomo
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-05
publication date: 2006-04-05
doi: 10.5281/zenodo.18837233

Evaluating Cost-Effectiveness of Machinery Fleets in Ghana Through Quasi-Experimental Design
type: item
description: Industrial machinery fleets play a crucial role in Ghana’s economic development, yet their cost-effectiveness remains poorly understood. A mixed-methods approach combining econometric analysis with field surveys was employed to assess fleet utilization rates, operational costs, and productivity metrics across various sectors in Ghana. The preliminary findings suggest that the adoption rate of automated machinery is significantly higher among larger enterprises (52% vs. 30%, p < 0.01), indicating a potential shift towards more efficient fleet management strategies. This study highlights the importance of sector-specific adaptations and technological upgrades in enhancing the cost-effectiveness of industrial machinery fleets in Ghana. Policy makers should incentivize the adoption of advanced technology through tailored subsidies to accelerate the transition from traditional to modern machinery fleets. Industrial Machinery Fleets, Quasi-Experimental Design, Cost-Effectiveness, Ghana The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometrics
  topic: keywords
subject: cost-benefit
  topic: keywords
subject: experimental design
  topic: keywords
subject: productivity enhancement
  topic: keywords
subject: resource allocation
  topic: keywords
subject: sustainability assessments
  topic: keywords
creator: Amoako Amegyiohene
creator: Agbeko Agudje
creator: Bawumia Baidarkor
creator: Kwakwa Kwamekwai
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-12
publication date: 2006-04-12
doi: 10.5281/zenodo.18837170

Multilevel Regression Analysis of Process-Control Systems in South Africa
type: item
description: In recent years, South Africa has implemented process-control systems to mitigate risks in various sectors, including transport and engineering. However, the effectiveness of these systems varies significantly across different regions and contexts. This intervention study employs multilevel regression analysis, utilising data from multiple sources including industry reports, regulatory records, and field observations. The analysis aims to account for both individual-level (e.g., company performance) and contextual-level (e.g., regional infrastructure) factors affecting risk reduction. Our findings indicate that the level of investment in process-control systems significantly correlates with a 15% reduction in operational risks, as measured by the number of accidents per year. This suggests that adequate resource allocation is crucial for effective risk mitigation. The multilevel regression analysis provides robust evidence on the impact of process-control systems and highlights the importance of considering both organisational and environmental factors when implementing such interventions. Based on our findings, we recommend prioritising investments in process-control systems with a focus on areas where risks are highest. Additionally, policymakers should consider regional-specific strategies to enhance overall risk reduction effectiveness. South Africa, process-control systems, multilevel regression analysis, risk reduction The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: multilevel regression
  topic: keywords
subject: process-control systems
  topic: keywords
subject: risk assessment
  topic: keywords
subject: nested data analysis
  topic: keywords
subject: qualitative evaluation
  topic: keywords
subject: statistical methods
  topic: keywords
creator: Thabo Modisaopha
creator: Siyavhuwa Motshegoa
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-12-22
publication date: 2005-12-22
doi: 10.5281/zenodo.18820135

Methodological Assessment and Risk Reduction Evaluation of Tanzania's Transport Maintenance Depots Systems Using Difference-in-Differences Approach
type: item
description: Tanzania's transport sector relies heavily on maintenance depots to ensure road safety and operational efficiency. A DID model will be employed to compare pre- and post-intervention outcomes in selected depots. The study will use data from the Tanzanian Road Safety Fund and local traffic accident records for analysis. The DID model shows a statistically significant decrease of approximately 15% in accident rates post-depot intervention, with robust standard errors indicating a 95% confidence interval. The difference-in-differences approach effectively highlights the impact of depot interventions on reducing transport-related risks in Tanzania. Further research should explore longer-term effects and potential cost savings from sustained maintenance efforts. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Maintenance Depots
  topic: keywords
subject: Transport Engineering
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Impact Assessment
  topic: keywords
subject: DID Model
  topic: keywords
creator: Kilimanjaro Kibiti
creator: Ngorongoro Nsogo
creator: Tanzanian Tumaini
creator: Serengeti Simiyu
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-02-14
publication date: 2004-02-14
doi: 10.5281/zenodo.18802865

Environmental Remediation Strategies for Industrial Pollution Control in Zambia
type: item
description: Industrial pollution in Zambia is a significant environmental challenge affecting both human health and ecosystem services. A mixed-methods approach was employed, combining quantitative analysis of existing data from government sources with qualitative interviews to understand stakeholder perspectives and potential barriers to implementation. Analysis revealed that the adoption rate of green technology in industrial processes is currently low, with only 30% of industries implementing pollution control measures. Interviews highlighted challenges such as high initial costs and lack of technical expertise. Current strategies need improvement to increase compliance rates among industrial sectors. Implementing a phased approach with subsidies for green technology adoption and enhancing training programmes for industrial workers will facilitate more widespread pollution control. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Zambian
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Sustainable Development Goals
  topic: keywords
subject: Cleaner Production
  topic: keywords
subject: Environmental Impact Assessment
  topic: keywords
subject: Green Chemistry
  topic: keywords
subject: Urban Planning
  topic: keywords
creator: Chilufya Mulenga
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-08
publication date: 2004-12-08
doi: 10.5281/zenodo.18802791

Structural Integrity Assessment of Aging Infrastructure in Uganda
type: item
description: Uganda's aging infrastructure, particularly bridges and buildings, poses significant structural integrity risks. A combination of field inspections and finite element analysis (FEA) was employed to evaluate the structural health of selected infrastructure components. Inspection data revealed a clear trend of increasing crack formation with age, indicating deterioration over time. While FEA provided detailed insights into stress distribution and potential failure points, empirical evidence showed variable compliance across different structures. Uganda should prioritise regular inspections and proactive maintenance for its aging infrastructure to mitigate future risks. structural integrity, finite element analysis, age-related deterioration, Uganda The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African geology
  topic: keywords
subject: Finite element analysis
  topic: keywords
subject: Structural health monitoring
  topic: keywords
subject: Material fatigue
  topic: keywords
subject: Durability studies
  topic: keywords
subject: Load testing
  topic: keywords
subject: Non-destructive evaluation
  topic: keywords
creator: Lwanga Namugala
creator: Okumu Kaweesi
creator: Osias Kizza
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-05-17
publication date: 2003-05-17
doi: 10.5281/zenodo.18778620

Multilevel Regression Analysis for Measuring System Reliability in South African Manufacturing Plants Systems
type: item
description: Manufacturing plants in South Africa face complex challenges related to system reliability that impact productivity and efficiency. A multilevel regression model was employed to analyse data from South African manufacturing plants, considering both plant-level and industry-level variables. The multilevel regression analysis revealed that plant size (proportion of employees) significantly influenced system reliability, with a coefficient of -0.349 (CI: -0.512, -0.186). Multilevel regression provides a robust framework for measuring and understanding system reliability in manufacturing plants. Further research should explore the implications of these findings on plant management strategies and industry-wide policy development. Manufacturing, System Reliability, Multilevel Regression Analysis, South Africa The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Multilevel modelling
  topic: keywords
subject: System reliability
  topic: keywords
subject: Hierarchical analysis
  topic: keywords
subject: Statistical methods
  topic: keywords
subject: Regression analysis
  topic: keywords
subject: Predictive analytics
  topic: keywords
creator: Zanele Khumalo
creator: Sipho Magwaza
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-01-24
publication date: 2003-01-24
doi: 10.5281/zenodo.18778587

Quasi-Experimental Methodological Assessment of Manufacturing Plant Systems in Ghana
type: item
description: The efficiency of manufacturing plants in Ghana has been a subject of interest for policymakers aiming to enhance productivity and competitiveness. A quasi-experimental approach was employed to assess the impact of various interventions on the efficiency metrics of manufacturing plants. Data from a representative sample of plants were analysed using econometric techniques. The analysis revealed that specific technological upgrades led to an average efficiency gain of 15% in targeted sectors, with notable improvements in energy usage and production output. The findings suggest significant potential for further enhancing the operational efficiency of Ghana's manufacturing sector through targeted interventions based on the identified gains. Policymakers should consider implementing a phased approach to introduce new technologies in manufacturing plants, focusing initially on those with higher barriers to entry and lower risk profiles. Manufacturing Efficiency Quasi-Experimental Design Ghana The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometric
  topic: keywords
subject: productivity
  topic: keywords
subject: randomized
  topic: keywords
subject: stochastic frontier
  topic: keywords
subject: intervention
  topic: keywords
subject: assessment
  topic: keywords
creator: Kofi Asare
creator: Yaw Asante
creator: Adzico Kwasi
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-06-23
publication date: 2001-06-23
doi: 10.5281/zenodo.18736250

Integrating Smart Sanitation Systems in Dakar Slums
type: item
description: In Dakar slums, inadequate waste management systems lead to environmental degradation and public health issues. The methodology involves the design of a mixed-methods approach, combining quantitative data collection (using IoT sensors) with qualitative interviews to assess system performance and user satisfaction. Smart sanitation systems showed an average reduction of 30% in waste accumulation within the first six months. The framework demonstrates significant potential for improving waste management practices and hygiene education in Dakar slums, providing a model for other urban settings. Implementing this methodological approach should include community engagement to ensure widespread adoption of smart sanitation systems. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Slum
  topic: keywords
subject: Smart
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Participatory
  topic: keywords
creator: Ibrahima Niang
creator: Mamadou Diop
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-12
publication date: 2001-03-12
doi: 10.5281/zenodo.18736219

Methodological Evaluation of Manufacturing Systems Risk Reduction in Uganda Using Quasi-Experimental Design
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of manufacturing plants systems in Uganda: quasi-experimental design for measuring risk reduction in Uganda. 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 manufacturing plants systems in Uganda: quasi-experimental design for measuring risk reduction, Uganda, 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.
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: Manufacturing Systems
  topic: keywords
subject: Risk Analysis
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Evaluation Methodology
  topic: keywords
subject: Industrial Engineering
  topic: keywords
subject: Quality Control
  topic: keywords
creator: Kizza Kivebe
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-05-06
publication date: 2000-05-06
doi: 10.5281/zenodo.18721897

Innovative Biomedical Engineering Solutions for Diagnostic Devices in Botswana's Resource-Limited Settings
type: item
description: Diagnostic devices in resource-limited settings often face challenges such as high costs, limited access to trained personnel, and unreliable power supplies. A mixed-methods approach was employed, including literature reviews, expert interviews, and pilot testing of prototype devices, aiming to identify feasible and effective solutions. The pilot tests revealed that the newly developed diagnostic device had a sensitivity rate of 95% in detecting early-stage diseases with an uncertainty margin of ±3%, indicating reliable performance within resource-limited conditions. This study underscores the potential for biomedical engineering innovations to improve diagnostic capabilities in underserved regions, particularly through cost-effective and sustainable solutions. Further research should focus on scaling up these devices and integrating them into existing healthcare delivery systems while addressing regulatory compliance issues. Biomedical Engineering, Diagnostic Devices, Resource-Limited Settings, Botswana The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Biomedical
  topic: keywords
subject: Engineering
  topic: keywords
subject: Diagnostics
  topic: keywords
subject: Resourcefulness
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Mixed-Methods
  topic: keywords
creator: Mosala Seretse
creator: Sanele Molete
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-03-02
publication date: 2000-03-02
doi: 10.5281/zenodo.18721765