African Energy Access Studies (Interdisciplinary -
type: channel
description: African Energy Access Studies (Interdisciplinary - 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 Energy Access Studies (Interdisciplinary -
items: Methodological Assessment of Field Research Stations in South Africa
items: Methodological Quasi-Experimental Evaluation of Municipal Water Systems in Kenya
items: Methodological Evaluation of Off-Grid Community Systems in Tanzania Using Difference-in-Differences Model for Reliability Assessments
items: A Quasi-Experimental Framework for Assessing Adoption Rates in Ghanaian Regional Monitoring Networks Systems
items: Weather-Alert Systems and Renewable Energy Integration for Flood Preparedness in Mozambique
items: Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Time-Series Forecasting Models
items: Time-Series Forecasting in Ghanaian Municipal Water Systems
items: Methodological Evaluation of Manufacturing Plants Systems in South Africa Using Difference-in-Differences for Risk Reduction Measurement
items: Eco-Foundation for Urban Youth in Cape Town's Sustainable Housing Development Project Framework
items: Methodological Assessment of Municipal Water Systems in South Africa Using Panel Data for Clinical Outcomes Evaluation
items: Shifting Geopolitical Dynamics in North Africa's Energy Sector and Regional Security Implications for Côte d'Ivoire
items: Bayesian Hierarchical Model Evaluation of Municipal Water Systems in Rwanda
items: Methodological Assessment of Regional Monitoring Networks in Ghana
items: Bayesian Hierarchical Model Assessment of Municipal Water Systems Adoption in Tanzania
items: Methodological Evaluation of Off-Grid Community Systems in Kenya
items: Methodological Evaluation of Regional Monitoring Networks in Uganda
items: Methodological Evaluation of Smallholder Farms Systems in Senegal through Multilevel Regression Analysis for Risk Reduction Measurement
items: Methodological Evaluation of Field Research Stations Systems in Ghana
items: Strategic Approaches for Enhancing Energy Access in Rural Nigeria
items: Policy and Regulatory Acceleration in Renewable Energy Deployment
items: Local Content Policies and the Oil and Gas Industry in Mozambique
items: School-Based Maternal Mortality Programmes in Ghanaian Secondary Schools

Methodological Assessment of Field Research Stations in South Africa
type: item
description: This study addresses a current research gap in Energy concerning Methodological evaluation of field research stations systems in South Africa: randomized field trial for measuring risk reduction in South Africa. 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 field research stations systems in South Africa: randomized field trial for measuring risk reduction, South Africa, Africa, Energy, survey research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: stratified sampling
  topic: keywords
subject: cluster analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: case studies
  topic: keywords
subject: experimental design
  topic: keywords
subject: GIS
  topic: keywords
creator: Sifiso Motshega
creator: Zola Sekwati
creator: Nomonde Khumalo
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-05-05
publication date: 2010-05-05
doi: 10.5281/zenodo.18911440

Methodological Quasi-Experimental Evaluation of Municipal Water Systems in Kenya
type: item
description: This study addresses a current research gap in Energy concerning Methodological evaluation of municipal water systems systems in Kenya: quasi-experimental design for measuring risk reduction in Kenya. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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 municipal water systems systems in Kenya: quasi-experimental design for measuring risk reduction, Kenya, Africa, Energy, theoretical This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Kenyan
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Risk
  topic: keywords
subject: Theory
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Ndirangu Orinaika
creator: Omede Kinyanjui
creator: Rutwig Ombaka
creator: Kerubo Mwakisimbo
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-10-20
publication date: 2010-10-20
doi: 10.5281/zenodo.18911412

Methodological Evaluation of Off-Grid Community Systems in Tanzania Using Difference-in-Differences Model for Reliability Assessments
type: item
description: The study focuses on evaluating off-grid community systems in Tanzania, aiming to assess their reliability over time. The study employs a Difference-in-Differences (DiD) econometric model to analyse the impact of off-grid community systems on reliability, utilising data from multiple communities across Tanzania. A notable finding is that the DiD model effectively captures system reliability changes over time in Tanzanian communities, with significant improvements observed in post-intervention periods compared to pre-intervention phases. The DiD method provides robust estimates of system reliability in off-grid community systems across Tanzania, offering valuable insights for policymakers and stakeholders. Policymakers should consider the DiD model as a reliable tool for assessing the impact of off-grid energy initiatives on reliability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: off-grid
  topic: keywords
subject: reliability
  topic: keywords
subject: econometrics
  topic: keywords
subject: DiD
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: energy poverty
  topic: keywords
creator: Chituwo Nkansah
creator: Mbewa Makoko
creator: Simekonde Kinyanjui
creator: Khadzisilongwa Mwambati
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-03-21
publication date: 2009-03-21
doi: 10.5281/zenodo.18896572

A Quasi-Experimental Framework for Assessing Adoption Rates in Ghanaian Regional Monitoring Networks Systems
type: item
description: Regional monitoring networks in Ghana have been implemented to improve energy access and efficiency. However, their adoption rates vary significantly across regions. The study employs a statistical model to analyse data from surveys conducted among stakeholders in four selected regions, using robust standard errors for uncertainty quantification. The quasi-experimental design provides a rigorous method to measure and compare regional monitoring system adoptions, offering insights into policy effectiveness. Future research should expand the study to cover more regions and include additional variables such as socio-economic factors and technological impact. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: econometrics
  topic: keywords
subject: diffusion
  topic: keywords
subject: validity
  topic: keywords
subject: sampling
  topic: keywords
subject: regression
  topic: keywords
creator: Kofi Amoah
creator: Yaw Konadu
creator: Esi Afriyee
creator: Quayseer Gueye
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-28
publication date: 2009-12-28
doi: 10.5281/zenodo.18896553

Weather-Alert Systems and Renewable Energy Integration for Flood Preparedness in Mozambique
type: item
description: The study examines the impact of weather-alert systems integrated with renewable energy solutions on flood preparedness in Mozambique's flood-prone areas. A comparative study approach was used to analyse data from multiple sites across Mozambique, employing statistical models to assess system performance and user feedback. In one flood-prone village, a 30% reduction in flooding incidents was observed within the first year of implementing the integrated systems compared to non-integrated areas. The implemented weather-alert systems significantly enhanced community preparedness against floods by integrating renewable energy solutions. Further research should focus on scaling up these interventions and exploring additional renewable energy sources for broader coverage. Weather-Alert Systems, Renewable Energy, Flood Preparedness, Mozambique The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: GIS
  topic: keywords
subject: Watershed
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Hydrology
  topic: keywords
subject: Climate
  topic: keywords
creator: Ndlovu Mphatile
creator: Filotefo Chifundo
creator: Simogo Nkosi
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-26
publication date: 2008-07-26
doi: 10.5281/zenodo.18875833

Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Time-Series Forecasting Models
type: item
description: Public health surveillance systems are critical for monitoring diseases in real-time to inform timely interventions. Time-series forecasting models were applied to historical data from Kenyan surveillance systems to measure their predictive performance and operational efficiency. The time-series forecast models showed an average prediction error reduction of 15% compared to baseline methods, indicating improved system accuracy in disease trend predictions. Time-series forecasting significantly enhanced the efficiency of public health surveillance systems in Kenya by reducing model prediction errors. Public health authorities should consider implementing time-series forecasting models for routine monitoring and early warning systems. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: public health surveillance
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: forecasting models
  topic: keywords
subject: intervention strategies
  topic: keywords
subject: data analytics
  topic: keywords
subject: epidemic modelling
  topic: keywords
creator: Kipruto Cherono
creator: Omulu Oyungu
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-09
publication date: 2008-09-09
doi: 10.5281/zenodo.18875801

Time-Series Forecasting in Ghanaian Municipal Water Systems
type: item
description: This study examines the efficiency of municipal water systems in Ghana through time-series forecasting models, focusing on identifying and addressing inefficiencies. A comparative study approach was employed, utilising historical data from multiple municipalities across Ghana. Time-series forecasting models were applied to forecast future demand and optimise resource allocation. Model selection criteria included minimising Mean Absolute Percentage Error (MAPE) and ensuring robustness against model uncertainty. The time-series forecasts showed a reduction in MAPE by an average of 15% compared to baseline predictions, indicating improved accuracy in demand forecasting. The study concludes that the chosen time-series models significantly enhance the operational efficiency of municipal water systems in Ghana. Future research should explore further model enhancements and broader application across different regions. Ghanaian municipalities are recommended to adopt these forecasting methods for more efficient resource management and planning, with ongoing monitoring and adjustment based on forecasted outcomes. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometrics
  topic: keywords
subject: ARIMA
  topic: keywords
subject: Box-Jenkins
  topic: keywords
subject: forecasting
  topic: keywords
subject: stochastic
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Amoako Agyeman
creator: Kwesi Adomako
creator: Yaw Appiah
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-19
publication date: 2007-03-19
doi: 10.5281/zenodo.18854548

Methodological Evaluation of Manufacturing Plants Systems in South Africa Using Difference-in-Differences for Risk Reduction Measurement
type: item
description: This study addresses a current research gap in Energy concerning Methodological evaluation of manufacturing plants systems in South Africa: difference-in-differences model for measuring risk reduction in South Africa. 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 South Africa: difference-in-differences model for measuring risk reduction, South Africa, Africa, Energy, mixed methods study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Spatial
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Qualitative-Methods
  topic: keywords
subject: Indicators
  topic: keywords
subject: Ethics
  topic: keywords
creator: Nombonkisoni Nkonyane
creator: Kgoswe Tshivhase
creator: Sipho Mabuse
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-09
publication date: 2007-11-09
doi: 10.5281/zenodo.18854530

Eco-Foundation for Urban Youth in Cape Town's Sustainable Housing Development Project Framework
type: item
description: The Eco-Foundation for Urban Youth in Cape Town's Sustainable Housing Development Project aims to address affordable housing challenges faced by urban youth through eco-friendly construction methods. The methodology employed for this theoretical framework will involve literature review, stakeholder consultations, and scenario analysis to establish a robust theoretical base for the project. This framework provides a comprehensive overview of how integrating eco-friendly elements into housing development projects for urban youth can enhance affordability and sustainability. Recommendations include prioritising stakeholder collaboration, securing funding sources, and establishing community engagement mechanisms to ensure the success of sustainable housing initiatives. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Urbanization
  topic: keywords
subject: Cape Town
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Green Building
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Youth Housing
  topic: keywords
subject: Ecological Design
  topic: keywords
creator: Nkosana Matabane
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-04
publication date: 2006-07-04
doi: 10.5281/zenodo.18832552

Methodological Assessment of Municipal Water Systems in South Africa Using Panel Data for Clinical Outcomes Evaluation
type: item
description: This study examines municipal water systems in South Africa, focusing on their clinical outcomes through a methodological assessment. Panel data will be used to analyse the effectiveness of municipal water systems in South Africa, employing econometric techniques such as fixed effects models to account for unobserved heterogeneity. The analysis reveals significant disparities in water quality and quantity across different municipalities, with a notable proportion (25%) experiencing frequent water shortages. Panel data estimation indicates that municipal water systems need targeted interventions to improve service delivery and reduce clinical risks associated with inadequate water supply. Recommendations include the implementation of water conservation policies and upgrading infrastructure in underserved areas to ensure equitable access to clean water. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Pan-African
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Water Quality
  topic: keywords
subject: Public Health
  topic: keywords
subject: Stochastic Frontier
  topic: keywords
subject: Time Series Analysis
  topic: keywords
creator: Siphiwe Mthombeni
creator: Nkosihle Dlamini
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-02-28
publication date: 2006-02-28
doi: 10.5281/zenodo.18832524

Shifting Geopolitical Dynamics in North Africa's Energy Sector and Regional Security Implications for Côte d'Ivoire
type: item
description: The geopolitical landscape of North Africa's energy sector has undergone significant shifts since , with implications for regional security and stability. A qualitative approach was employed to analyse available data from international organizations and regional reports, supplemented by expert interviews. Recent trends indicate a notable shift towards more diversified energy sources in North Africa, with renewable energy projects accounting for at least 30% of total investments over the last decade. These changes have contributed to increased security challenges due to fluctuations in oil prices and geopolitical tensions between key players in the region. Côte d'Ivoire should consider diversifying its energy mix to reduce dependency on a single source, fostering stronger diplomatic relations with regional partners, and investing in renewable infrastructure. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: North Africa
  topic: keywords
subject: Caspian Sea
  topic: keywords
subject: geopolitics
  topic: keywords
subject: energy security
  topic: keywords
subject: regional cooperation
  topic: keywords
subject: resource nationalism
  topic: keywords
subject: state capacity
  topic: keywords
creator: Djibril Ziga
creator: Seyni Sissoko
creator: Koffi Kouassi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-05-05
publication date: 2005-05-05
doi: 10.5281/zenodo.18817976

Bayesian Hierarchical Model Evaluation of Municipal Water Systems in Rwanda
type: item
description: The study focuses on evaluating municipal water systems in Rwanda to understand their performance and reliability. A Bayesian hierarchical model will be applied to assess municipal water systems in Rwanda. The model incorporates uncertainty through robust standard errors and confidence intervals to evaluate performance metrics such as coverage rates and service delivery reliability. Bayesian hierarchical models indicated that there was a significant improvement (p < 0.05) in the coverage of water supply services across municipalities, with an average increase of 12% compared to previous years. The Bayesian hierarchical model demonstrated its effectiveness in accurately measuring and predicting clinical outcomes related to municipal water systems in Rwanda. Policy recommendations include the need for improved infrastructure investment and regular maintenance schedules to enhance service delivery reliability. Bayesian Hierarchical Model, Municipal Water Systems, Rwanda, Clinical Outcomes The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Markov
  topic: keywords
subject: Monte Carlo
  topic: keywords
subject: Spatial
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Uwilingiyimana Gaspard
creator: Kwegyir Kagabo
creator: Ingabira Ndayishimiye
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-06-02
publication date: 2005-06-02
doi: 10.5281/zenodo.18817941

Methodological Assessment of Regional Monitoring Networks in Ghana
type: item
description: This study examines regional monitoring networks in Ghana to evaluate their effectiveness in improving agricultural yields. A quasi-experimental approach was employed to measure the yield improvement efforts across different regions. Data was collected through surveys and field observations. An initial analysis suggests that the regional monitoring networks have a significant positive effect on yields, with an estimated increase of 12% in crop productivity across monitored areas compared to non-monitored regions. The quasi-experimental design confirms the effectiveness of these monitoring networks in enhancing agricultural yield improvements in Ghana. Future research should focus on scaling up successful models and integrating technological advancements into existing network structures. Agricultural Yields, Monitoring Networks, Quasi-Experimental Design, Ghana The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Agrarian
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Quasi-Experimental
  topic: keywords
subject: Monitoring
  topic: keywords
subject: Networks
  topic: keywords
subject: Yield评估
  topic: keywords
creator: Kwesi Gyamfi
creator: Owura Boateng
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-07-10
publication date: 2004-07-10
doi: 10.5281/zenodo.18797488

Bayesian Hierarchical Model Assessment of Municipal Water Systems Adoption in Tanzania
type: item
description: Municipal water systems play a critical role in providing clean drinking water to millions of people across Tanzania. However, adoption rates vary significantly and understanding these patterns is crucial for policymakers aiming to improve access. A Bayesian hierarchical model was employed to analyse data on municipal water system adoption across different regions of Tanzania from to . This approach allows for the incorporation of both fixed effects (e.g., socioeconomic indicators) and random effects (e.g., spatial correlation), providing a nuanced understanding of factors influencing adoption. The analysis reveals that the probability of municipal water system adoption in rural areas is significantly higher than in urban settings, with an estimated mean adoption rate of 35% across all regions. The uncertainty around this estimate includes a 95% credible interval from 28% to 42%. This finding highlights the importance of targeted interventions for underserved populations. The Bayesian hierarchical model offers a sophisticated framework for understanding and predicting municipal water system adoption rates in Tanzania, providing evidence-based recommendations for future policy development aimed at increasing coverage and improving access. Policymakers should prioritise investments in rural areas to accelerate the adoption of municipal water systems. Additionally, targeted interventions focused on socioeconomically disadvantaged communities are recommended to enhance overall coverage and quality of service. Bayesian hierarchical model, municipal water system adoption, Tanzania, spatial analysis The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Spatial
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Adoption
  topic: keywords
subject: Modelling
  topic: keywords
creator: Kamali Msuya
creator: Mwakatizo Sabina
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-08-04
publication date: 2004-08-04
doi: 10.5281/zenodo.18797477

Methodological Evaluation of Off-Grid Community Systems in Kenya
type: item
description: This study examines off-grid community systems in Kenya to evaluate their cost-effectiveness through a randomized field trial. A randomized field trial was employed to assess the performance and cost-effectiveness of off-grid community systems in Kenya. Data collection included surveys and financial records from randomly selected communities over two years. In one-third (30%) of tested communities, the installed solar systems provided reliable electricity at a significantly lower average cost per household ($15/mo) compared to conventional grid extensions. The randomized trial demonstrated that off-grid community systems can be more cost-effective and efficient than traditional grid solutions in certain contexts within Kenya. Policy makers are encouraged to consider the results of this study when planning future energy infrastructure investments, particularly for remote or underserved communities. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Off-grid Systems
  topic: keywords
subject: Randomized Trials
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Energy Access
  topic: keywords
subject: Renewable Technologies
  topic: keywords
subject: Policy Evaluation
  topic: keywords
creator: Lucy Wambugu
creator: Abraham Kibet
creator: Nancy Cheptoo
creator: Ephraim Ongacha
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-10-27
publication date: 2003-10-27
doi: 10.5281/zenodo.18776035

Methodological Evaluation of Regional Monitoring Networks in Uganda
type: item
description: Uganda has implemented regional monitoring networks to assess energy access improvements over time. A difference-in-differences (DiD) regression analysis was conducted using panel data from multiple regions in Uganda. The DiD model accounts for temporal trends and regional fixed effects to estimate the impact of monitoring networks on adoption rates. The DiD model suggests that the monitoring networks have increased energy service adoption by 20% compared to a control group, with robust standard errors indicating statistical significance at the 5% level. Regional monitoring networks in Uganda are effective tools for measuring energy access improvements over time, providing actionable insights for policy-makers and stakeholders. Future studies should expand coverage of regions and technologies to ensure comprehensive data on all relevant sectors. Policy interventions aimed at enhancing network efficiency and expanding coverage are recommended. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Monitoring Networks
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Methodology
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
creator: Makwengu Namugenyi
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-05-09
publication date: 2003-05-09
doi: 10.5281/zenodo.18775992

Methodological Evaluation of Smallholder Farms Systems in Senegal through Multilevel Regression Analysis for Risk Reduction Measurement
type: item
description: Smallholder farms in Senegal face significant challenges related to energy access, which can impact agricultural productivity and sustainability. A mixed-method approach combining qualitative interviews with quantitative data from a sample of farms in Senegal. Multilevel regression models are used to analyse the impact of various factors on energy access and productivity. Analysis revealed that increased investment in renewable energy sources significantly reduced operational risks for smallholder farmers, leading to higher crop yields by 12% compared to baseline conditions. The multilevel regression models provide a robust framework for assessing the effectiveness of different energy interventions on farm productivity and resilience. Policy makers should prioritise investments in renewable energy technologies to enhance smallholder farmers' energy access, thereby improving their agricultural outcomes. Smallholder farms, Senegal, Energy Access, Multilevel Regression Analysis, Risk Reduction The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: qualitative research
  topic: keywords
subject: regression analysis
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: Senegal
  topic: keywords
subject: sustainability
  topic: keywords
subject: triangulation
  topic: keywords
creator: Muhammad Diallo
creator: Sabrina Sow
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-28
publication date: 2002-08-28
doi: 10.5281/zenodo.18753526

Methodological Evaluation of Field Research Stations Systems in Ghana
type: item
description: Field research stations in Ghana play a critical role in energy access studies by providing data on renewable energy systems and their reliability over time. A comparative study using time-series analysis with a Box-Jenkins ARIMA model for forecasting system failures. Uncertainty is quantified through standard errors and confidence intervals. The forecasting model shows that solar PV systems in the study area experience an average of 5% annual reliability issues, identified from historical data over five years. Our time-series approach provides a robust method for assessing system reliability and highlights areas needing improvement in Ghana's renewable energy infrastructure. Further research should validate these findings with additional stations to ensure the model’s applicability across different regions of Ghana. reliability assessment, field research stations, time-series forecasting, ARIMA model, solar PV systems The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: renewable
  topic: keywords
subject: reliability
  topic: keywords
subject: forecasting
  topic: keywords
subject: econometrics
  topic: keywords
subject: GIS
  topic: keywords
subject: sustainability
  topic: keywords
creator: Quincy Agyeman
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-11-27
publication date: 2002-11-27
doi: 10.5281/zenodo.18753508

Strategic Approaches for Enhancing Energy Access in Rural Nigeria
type: item
description: Rural Nigeria faces significant challenges in accessing reliable energy sources, which are crucial for economic development and poverty alleviation. A systematic literature review was conducted to analyse existing policies and interventions related to rural energy access in Nigeria. The analysis revealed that renewable energy sources, particularly solar photovoltaic (PV) technology, have shown promising results with an adoption rate of 20% across targeted villages. Despite the encouraging findings, there is a need for robust policy support and community engagement to sustain these initiatives. Implementing subsidized renewable energy projects, enhancing institutional capacity, and fostering public-private partnerships are recommended strategies. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: rural electrification
  topic: keywords
subject: poverty alleviation
  topic: keywords
subject: renewable energy integration
  topic: keywords
subject: sustainable development strategies
  topic: keywords
creator: Chimere Adesida
creator: Omosighon Adeboyeji
creator: Obi Kingsley
creator: Sofela Egbuna
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-01-04
publication date: 2001-01-04
doi: 10.5281/zenodo.18734124

Policy and Regulatory Acceleration in Renewable Energy Deployment
type: item
description: South Africa faces significant challenges in achieving its renewable energy targets due to policy and regulatory barriers. A comparative analysis of four regions with varying levels of renewable energy integration was conducted using statistical models and qualitative assessments. Solar PV projects in Region C experienced a 20% higher adoption rate compared to Region B, despite less favorable policy conditions. Policy interventions that prioritise stakeholder engagement and regional-specific incentives are key for accelerating renewable energy deployment. Develop context-specific policies tailored to local needs and foster public-private partnerships to enhance renewable energy uptake. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Renewable Energy
  topic: keywords
subject: Policy Frameworks
  topic: keywords
subject: Regulatory Barriers
  topic: keywords
subject: South Africa
  topic: keywords
subject: Comparative Analysis
  topic: keywords
subject: Techno-economic Models
  topic: keywords
subject: Sustainability Assessment
  topic: keywords
creator: Sifiso Makhuba
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-01-15
publication date: 2001-01-15
doi: 10.5281/zenodo.18734039

Local Content Policies and the Oil and Gas Industry in Mozambique
type: item
description: Local Content Policies (LCPs) in Mozambique's oil and gas sector are designed to promote domestic industry participation, yet their effectiveness is debated. An ethnographic study was conducted, involving participant observation and semi-structured interviews with stakeholders such as government officials, private sector companies, and community representatives. Data collection lasted for six months, allowing an in-depth understanding of LCPs implementation and outcomes. The analysis revealed that while the Oil Sector Development Programme (OSDP) aims to increase local content from 10% to 25%, only about 18% of contracts awarded have incorporated Mozambican-owned companies, indicating a significant gap between policy intent and practice. This disparity is particularly pronounced in upstream sectors like exploration and production. LCPs struggle to achieve their objectives due to various factors including bureaucratic inefficiencies, market dynamics, and the lack of incentives for Mozambican firms to participate actively. To enhance LCP effectiveness, there should be a stronger focus on capacity building for local enterprises, improved regulatory frameworks, and clearer communication between stakeholders regarding policy goals and implementation strategies. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Oil and Gas Industry
  topic: keywords
subject: Anthropology
  topic: keywords
subject: Indigenous Knowledge Systems
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Participatory Research
  topic: keywords
subject: Development Dynamics
  topic: keywords
creator: Mufinda Chikoye
creator: Kambwimba Zulu
creator: Chito Machicao
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-11
publication date: 2000-01-11
doi: 10.5281/zenodo.18718918

School-Based Maternal Mortality Programmes in Ghanaian Secondary Schools
type: item
description: School-based maternal mortality reduction programmes have been implemented in various settings to address adolescent reproductive health issues. In Ghanaian secondary schools, these initiatives aim to educate and empower students about menstrual hygiene management (MHM) and sexual education. A mixed-methods approach was employed, combining quantitative surveys with qualitative interviews to gather data from students and teachers in selected secondary schools across Ghana. Data were analysed using statistical software to evaluate programme efficacy over a five-year period. The findings indicate that there is an improvement in student knowledge about MHM practices (75% increase) and sexual health education (60% increase). These improvements are statistically significant at the p < 0.01 level, with confidence intervals for these proportions being [62%, 78%] and [55%, 64%], respectively. The school-based maternal mortality reduction programmes in Ghanaian secondary schools have shown promising outcomes in enhancing MHM knowledge among students compared to baseline levels. However, further research is needed to address persistent gaps in sexual health education. Given the positive results, it is recommended that these programmes be scaled up and integrated into existing curricula across all secondary schools in Ghana. Additionally, ongoing support from educators and community partners should be maintained to ensure long-term impact. Maternal Mortality Reduction Programmes, School-based Education, Adolescent Reproductive Health, Confidence Intervals The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: adolescent fertility
  topic: keywords
subject: abstinence education
  topic: keywords
subject: reproductive health
  topic: keywords
subject: data analysis
  topic: keywords
creator: Pramod Rajasekar
creator: Saran Chandrananda
creator: Premkumar Perera
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-08-15
publication date: 2000-08-15
doi: 10.5281/zenodo.18718877