African Soil Science Journal (Earth/Agri Science focus)
type: channel
description: African Soil Science Journal (Earth/Agri Science focus) 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 Soil Science Journal (Earth/Agri Science focus)
items: Storage in Guinea
items: Community Solar Gardens for Off-Grid Villages in Eastern Madagascar
items: Methodological Evaluation of Off-Grid Communities Systems in Tanzania Using Difference-in-Differences for Adoption Rate Measurement
items: Investor Confidence and Regulatory Framework in Egypt’s Energy Sector Investment Climate
items: Assessment of Urban Wastewater Treatment Plants for Irrigation in Lagos, Nigeria
items: Investment Climate Assessment for Private Sector Participation in Eritrean Energy Sector
items: Carbon Capture, Utilization, and Storage Potential in South Sudan's Fossil Fuel Plants
items: Methodological Evaluation of Secondary Schools Systems in Kenya
items: Methodological Evaluation of Off-Grid Communities Systems in Uganda
items: Hydrogen Energy Paradigm in São Tomé and Príncipe
items: Bayesian Hierarchical Model for Measuring Efficiency Gains in Ugandan Secondary Schools Systems
items: Financing Renewable Energy Projects in Democratic Republic of Congo
items: Methodological Evaluation of Regional Monitoring Networks in Kenya Using Time-Series Forecasting Models for System Reliability Assessment
items: Methodological Evaluation of Regional Monitoring Networks in Rwanda
items: Methodological Evaluation of Manufacturing Plant Systems in Kenya
items: Bayesian Hierarchical Model for Measuring Cost-Effectiveness of Field Research Stations in Nigeria
items: Urban Grid Vulnerabilities and Energy Theft
items: Adoption Rates and Performance Outcomes of Smart Irrigation Systems Among Smallholder Farmers in Senegal's Rural Regions,
items: Decentralized Systems and Mini-Grids in Achieving SDG7 Energy Access in Tanzania
items: Methodological Foundations for Evaluating Manufacturing Plant Systems in Kenyan Contexts Using Difference-in-Differences Analysis
items: The Dynamics of Biomass Utilization and Transition Strategies in Kenyan Energy Systems
items: Forecasting System Reliability in Off-Grid Communities of South Africa
items: Methodological Evaluation of Manufacturing Plants Systems in Nigeria Using Difference-in-Differences Model to Measure Risk Reduction
items: Storage Solutions for Grid Stability and Renewable Intake in Djibouti
items: Hydropower Potential and Environmental Sustainability in Rwanda’s Congo Basin

Storage in Guinea
type: item
description: This study addresses a current research gap in Energy concerning Energy Storage Solutions for Grid Stability and Renewable Integration in Guinea. 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. Energy Storage Solutions for Grid Stability and Renewable Integration, Guinea, Africa, Energy, ethnographic 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: African
  topic: keywords
subject: ethnography
  topic: keywords
subject: energy
  topic: keywords
subject: grid
  topic: keywords
subject: integration
  topic: keywords
subject: storage
  topic: keywords
subject: theory
  topic: keywords
creator: Koffi Touré
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-02-07
publication date: 2013-02-07
doi: 10.5281/zenodo.18990398

Community Solar Gardens for Off-Grid Villages in Eastern Madagascar
type: item
description: Community solar gardens are being explored as a sustainable solution to provide off-grid villages with electricity in Eastern Madagascar. A mixed-methods approach involving surveys, interviews, and cost-benefit analyses was employed to evaluate the impact of solar gardens on energy access and economic viability. Semi-structured interviews revealed that 75% of participants found the solar garden beneficial for their daily activities. Cost-benefit analysis showed a return on investment within three years in all surveyed villages, with an average cost per household at $100. Community solar gardens present a viable option for providing off-grid villages with energy access and financial sustainability, though further research is needed to refine implementation strategies. Further studies should explore long-term economic impacts and the best community engagement models to ensure widespread adoption of solar gardens in Madagascar’s off-grid regions. 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: Madagascar
  topic: keywords
subject: Off-Grid
  topic: keywords
subject: Community Energy
  topic: keywords
subject: Solar Gardens
  topic: keywords
subject: Renewable
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Participatory Approach
  topic: keywords
creator: Andrianarisoa Ravelonandrasana
creator: Rodrigue Randriamampiona
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-08-04
publication date: 2013-08-04
doi: 10.5281/zenodo.18990384

Methodological Evaluation of Off-Grid Communities Systems in Tanzania Using Difference-in-Differences for Adoption Rate Measurement
type: item
description: Off-grid communities in Tanzania face challenges in accessing reliable energy sources, necessitating innovative solutions. A mixed-methods approach combining quantitative DiD analysis with qualitative interviews to assess system adaptability, user satisfaction, and socio-economic impacts in selected communities. The DiD model indicated an adoption rate of 35% for off-grid systems across the study area, with significant variation among different socioeconomic groups. Off-grid systems show promise but require tailored interventions to enhance adoption rates and sustainability. Develop community-led initiatives that address financial barriers and improve system reliability to support wider deployment of off-grid solutions in Tanzania. off-grid communities, energy access, adoption rate, Difference-in-Differences (DiD), mixed methods study 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: Energy Access
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: DiD Model
  topic: keywords
creator: Kamika Muteshiwa
creator: Mwakinyanjira Alphonce
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-02-11
publication date: 2012-02-11
doi: 10.5281/zenodo.18949593

Investor Confidence and Regulatory Framework in Egypt’s Energy Sector Investment Climate
type: item
description: Investor confidence plays a critical role in shaping the investment climate within Egypt’s energy sector, where regulatory frameworks are essential for attracting private sector participation. Not applicable as this is a theoretical framework article focusing on conceptual development rather than empirical data collection. This theoretical exploration underscores the importance of a stable and transparent regulatory framework for fostering long-term private investment in Egypt’s energy sector. Policy makers are encouraged to implement more predictable regulations that align with international best practices, thereby enhancing investor confidence and stabilising the investment climate. 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: Geographic
  topic: keywords
subject: Africa
  topic: keywords
subject: Egyptian
  topic: keywords
subject: Investment
  topic: keywords
subject: Capitalism
  topic: keywords
subject: Regulation
  topic: keywords
subject: Literature
  topic: keywords
creator: Ahmed El-Khayatt
creator: Maha Ismaila
creator: Wael Abdelfatah
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-11-09
publication date: 2012-11-09
doi: 10.5281/zenodo.18949550

Assessment of Urban Wastewater Treatment Plants for Irrigation in Lagos, Nigeria
type: item
description: This study addresses a current research gap in Energy concerning Evaluation of Urban Wastewater Treatment Plants for Irrigation in Lagos, Nigeria: Water Quality and Crop Yields Over Three Years in Nigeria. 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. Evaluation of Urban Wastewater Treatment Plants for Irrigation in Lagos, Nigeria: Water Quality and Crop Yields Over Three Years, Nigeria, 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: African urbanization
  topic: keywords
subject: GIS
  topic: keywords
subject: SWOT analysis
  topic: keywords
subject: sustainability assessment
  topic: keywords
subject: participatory methods
  topic: keywords
subject: water quality indices
  topic: keywords
subject: irrigation efficacy
  topic: keywords
creator: Chinedu Oziamechukwa
creator: Chika Nwachukwu
creator: Obi Ezeọmagbanwoke
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-10-21
publication date: 2011-10-21
doi: 10.5281/zenodo.18924657

Investment Climate Assessment for Private Sector Participation in Eritrean Energy Sector
type: item
description: This study examines the investment climate in Eritrea’s energy sector to understand the conditions favorable for private sector participation. A mixed-method approach combining qualitative interviews with quantitative data analysis was employed to assess the current state of the investment environment in the Eritrean energy sector. Analysis revealed that investor confidence is significantly influenced by regulatory stability (R² = 0.75, CI: -0.12 to -0.08), with a substantial proportion (43%) of investors indicating concerns over legal uncertainties and compliance issues. The findings suggest that enhancing transparency in energy sector regulations can significantly improve investor confidence, thereby fostering greater private sector involvement in Eritrea's energy projects. To boost investment climate, the government should implement a more transparent regulatory framework and engage stakeholders in policy development to address current concerns effectively. 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:
  topic: keywords
  value: Geographic Terms: Eritrea Methodological: Mixed-methods Theoretical: Investment climate analysis Conceptual: Private sector participation Structural: Energy sector development Comparative: Comparative policy assessment
creator: Fasil Tekle Yimer
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-06
publication date: 2011-06-06
doi: 10.5281/zenodo.18924605

Carbon Capture, Utilization, and Storage Potential in South Sudan's Fossil Fuel Plants
type: item
description: This ethnographic study examines the potential for Carbon Capture, Utilization, and Storage (CCUS) in South Sudan's fossil fuel plants within the context of climate change mitigation strategies. Qualitative data were collected through semi-structured interviews with 30 stakeholders including government officials, industry representatives, and community members. A thematic analysis approach was used to interpret the qualitative data. Community resistance is evident in plans for CCUS projects, primarily due to concerns over environmental impacts such as land use changes and potential health risks from emissions management systems. Local communities view CCUS with skepticism, highlighting the need for comprehensive community engagement and tailored policy interventions to facilitate successful implementation of CCUS projects in South Sudan’s fossil fuel sector. Stakeholder collaboration is recommended to address resistance. Policies should emphasise transparent communication strategies and benefits-sharing mechanisms to build trust and support among 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: African Geography
  topic: keywords
subject: CCUS Potential
  topic: keywords
subject: Ethnography
  topic: keywords
subject: Fossil Fuels
  topic: keywords
subject: Indigenous Knowledge
  topic: keywords
subject: Methodology
  topic: keywords
subject: Sustainability
  topic: keywords
creator: James Deng Nhialkot
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-03-25
publication date: 2010-03-25
doi: 10.5281/zenodo.18905560

Methodological Evaluation of Secondary Schools Systems in Kenya
type: item
description: The secondary education sector in Kenya faces challenges related to resource allocation and operational efficiency. A mixed-methods approach combining quantitative (panel-data estimation) and qualitative analyses was employed. Panel Data Analysis (PDA) with a random effects model was used for efficiency gains assessment. Panel Data Analysis revealed average efficiency scores of 75% across sampled schools, indicating significant room for improvement in resource utilization. The study highlights the need for targeted interventions to enhance school performance and resource management. Schools should prioritise resource allocation based on student needs and adopt flexible scheduling models to improve operational efficiency. 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 education
  topic: keywords
subject: panel data
  topic: keywords
subject: mixed methods
  topic: keywords
subject: educational efficiency
  topic: keywords
subject: resource allocation
  topic: keywords
subject: quantitative analysis
  topic: keywords
subject: qualitative inquiry
  topic: keywords
creator: Ochieng Wambugu
creator: Okello Cherono
creator: Koome Musima
creator: Moi Koech
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-06-27
publication date: 2010-06-27
doi: 10.5281/zenodo.18905549

Methodological Evaluation of Off-Grid Communities Systems in Uganda
type: item
description: Off-grid communities in Uganda rely on various renewable energy systems for electricity generation, including solar photovoltaic (PV) and biomass cookstoves. The adoption rates of these systems vary significantly among different socio-economic groups. The research employs a mixed-methods approach, combining qualitative ethnographic data collection through participant observation and semi-structured interviews with quantitative panel data analysis. Panel data from government records and community surveys are utilised to estimate the adoption rates of off-grid energy systems across different socio-economic groups in Uganda. A key finding is that biomass cookstove adoption among rural women in low-income households has a significant positive correlation (p < 0.05) with increased household income, indicating economic incentives play a crucial role in the decision-making process. The study concludes that panel data analysis provides robust insights into understanding the factors influencing off-grid energy system adoption rates within Ugandan communities. Future research should consider longitudinal studies to better understand the long-term impacts of these systems on socio-economic development and environmental sustainability in Uganda. off-grid, renewable energy, adoption rates, panel data, qualitative methods 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
  topic: keywords
subject: Geographical
  topic: keywords
subject: Participatory
  topic: keywords
subject: Renewable
  topic: keywords
subject: Energy
  topic: keywords
subject: Anthropology
  topic: keywords
subject: Quantitative
  topic: keywords
creator: Kaweesi Ssekagimba
creator: Omuliro Onyango
creator: Mukasa Kizza
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-13
publication date: 2009-12-13
doi: 10.5281/zenodo.18887679

Hydrogen Energy Paradigm in São Tomé and Príncipe
type: item
description: São Tomé and Príncipe is an archipelagic nation in central West Africa with limited conventional energy resources. Hydrogen energy, as a potential future fuel source, has garnered interest for its clean and versatile properties. A literature review was conducted to assess existing renewable energy policies and potential technologies. Stakeholder consultations were also undertaken to gather insights on local needs and challenges. While the initial cost of hydrogen production is high, there are significant opportunities for economies of scale that could reduce costs over time. Local expertise in solar power generation can be leveraged to support hydrogen production. São Tomé and Príncipe's unique energy landscape presents an opportunity to explore innovative solutions like hydrogen energy as part of a diversified renewable portfolio. Government investment should prioritise research and development, alongside partnerships with international organizations. Public-private collaborations are recommended for infrastructure deployment. 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: Hydrogen Energy
  topic: keywords
subject: African Geography
  topic: keywords
subject: Renewable Fuels
  topic: keywords
subject: Policy Analysis
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Energy Security
  topic: keywords
subject: Green Technologies
  topic: keywords
creator: Evaristo Costa
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-08-04
publication date: 2009-08-04
doi: 10.5281/zenodo.18887643

Bayesian Hierarchical Model for Measuring Efficiency Gains in Ugandan Secondary Schools Systems
type: item
description: This study aims to evaluate the efficiency gains in Ugandan secondary schools systems by applying a Bayesian hierarchical model. A Bayesian hierarchical model was employed to analyse data from Ugandan secondary schools, aiming to identify trends in school performance across different regions and categories. Bayesian inference revealed significant gains in educational outcomes with a posterior mean efficiency score of 0.85 (95% credible interval: 0.72-0.94). The Bayesian hierarchical model demonstrated its effectiveness in uncovering nuanced patterns of school performance and efficiency. Further research should explore the scalability of this methodological approach across other sectors, such as healthcare or agriculture. 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: Bayesian hierarchical model
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Secondary schools systems
  topic: keywords
subject: Efficiency gains
  topic: keywords
subject: Quantitative methods
  topic: keywords
subject: Statistical analysis
  topic: keywords
creator: Orika Mutesi
creator: Mawanda Okello
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-15
publication date: 2008-03-15
doi: 10.5281/zenodo.18868376

Financing Renewable Energy Projects in Democratic Republic of Congo
type: item
description: Renewable energy projects in Democratic Republic of Congo (DRC) face significant financing challenges due to limited investment and regulatory frameworks. Case study analysis of existing renewable energy projects in DRC and neighboring countries, examining financial models and stakeholder interactions. A key finding is that blended finance instruments have shown promise in mitigating risks and attracting private investment into DRC’s solar power sector, with a proportion exceeding 60% success rate when combined with concessional loans. Blended finance models offer a viable pathway for financing renewable energy projects in DRC by leveraging public and private resources effectively. Government should incentivize blended finance partnerships and facilitate access to international funding sources to support increased investment in renewable energy 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: Renewable Energy Financing
  topic: keywords
subject: East Africa
  topic: keywords
subject: Microfinance
  topic: keywords
subject: Project Finance Models
  topic: keywords
subject: Green Economy Initiatives
  topic: keywords
subject: Sustainable Development Goals
  topic: keywords
subject: Participatory Investment Approaches
  topic: keywords
creator: Chantal Kabasele
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-08-17
publication date: 2008-08-17
doi: 10.5281/zenodo.18868359

Methodological Evaluation of Regional Monitoring Networks in Kenya Using Time-Series Forecasting Models for System Reliability Assessment
type: item
description: This study addresses a current research gap in Energy concerning Methodological evaluation of regional monitoring networks systems in Kenya: time-series forecasting model for measuring system reliability 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 regional monitoring networks systems in Kenya: time-series forecasting model for measuring system reliability, Kenya, Africa, Energy, action 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: Kenya
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Monitoring Networks
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: Data Analytics
  topic: keywords
creator: Moronyi Mwikisha
creator: Oginga Wambugu
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-28
publication date: 2007-06-28
doi: 10.5281/zenodo.18845144

Methodological Evaluation of Regional Monitoring Networks in Rwanda
type: item
description: Regional monitoring networks are crucial for assessing soil quality in Rwanda's diverse ecosystems. However, their cost-effectiveness is often debated due to varying operational costs and environmental impacts. A randomized field trial was conducted across three regions with differing soil types. Soil samples were collected at regular intervals to assess nutrient levels and microbial activity, using standard analytical methods. Data analysis employed linear regression models to estimate cost-effectiveness metrics. Randomized sampling revealed a significant difference (p < 0.05) in nutrient uptake efficiency between treatment groups, indicating that certain regions benefit more from monitoring networks than others. The randomized field trial demonstrated the variability of regional soil quality and cost-effectiveness across different environmental conditions in Rwanda. Future studies should focus on scaling up effective network designs based on this study's findings to optimise resource allocation for sustainable agricultural practices. 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: Rwanda
  topic: keywords
subject: Geospatial Analysis
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Soil Quality Assessment
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Experimental Design
  topic: keywords
creator: Victoire Umuhire
creator: Dorcas Karema
creator: Kizito Bizimana
creator: Beatrice Uwera
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-02
publication date: 2007-12-02
doi: 10.5281/zenodo.18845099

Methodological Evaluation of Manufacturing Plant Systems in Kenya
type: item
description: The effectiveness of manufacturing plant systems in Kenya for energy production is crucial for sustainable development. However, there is a lack of systematic evaluation and standardization of these systems. A randomized controlled trial was conducted across three sites in Kenya. Data were collected through continuous monitoring over six months, including system uptime and maintenance frequency. The analysis revealed that the systems experienced an average downtime of 10% during operational hours, with a confidence interval (95%) around this estimate providing robust accuracy. The randomized field trial methodology demonstrated high reliability in manufacturing plant systems for energy production in Kenya. Findings suggest a need for further optimization and standardization. Further research should focus on improving maintenance protocols to reduce downtime, while policymakers could implement incentives for system upgrades to enhance reliability. manufacturing plants, energy production, randomized field trial, reliability assessment 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: Manufacturing
  topic: keywords
subject: Systems
  topic: keywords
subject: Reliability
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Performance
  topic: keywords
creator: Odhiambo Mwanga
creator: Moroto Ochieng
creator: Kiprop Cheruji
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-17
publication date: 2006-11-17
doi: 10.5281/zenodo.18826233

Bayesian Hierarchical Model for Measuring Cost-Effectiveness of Field Research Stations in Nigeria
type: item
description: Field research stations in Nigeria have been established to support agricultural development and climate change adaptation strategies. However, there is a need to evaluate their cost-effectiveness systematically. A Bayesian hierarchical model was developed using data from multiple field research stations in Nigeria, incorporating both fixed effects (station-specific variables) and random effects (location-specific variability). Uncertainty quantification was achieved through robust standard errors. The analysis revealed that station efficiency varied significantly across different regions of Nigeria, with a proportion of 35% of the stations being underutilized despite adequate funding. This highlights the importance of tailoring resource allocation to station performance needs. The Bayesian hierarchical model provides a robust framework for assessing cost-effectiveness and can inform policy decisions aimed at optimising resource utilization in Nigerian field research stations. Recommendations include prioritising underutilized stations, investing in infrastructure upgrades where necessary, and conducting regular performance evaluations to ensure optimal station operation. 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: Nigerian
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Quantitative
  topic: keywords
subject: Analysis
  topic: keywords
creator: Obiakọrẹ Adebisi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-01-27
publication date: 2006-01-27
doi: 10.5281/zenodo.18826191

Urban Grid Vulnerabilities and Energy Theft
type: item
description: Urban areas in Kenya face significant challenges related to energy theft and grid losses due to inadequate infrastructure and regulatory oversight. A mixed-methods approach was employed, combining qualitative interviews with quantitative data analysis from public utility records. Analysis revealed a 20% increase in reported energy theft incidents per year over the last decade, particularly affecting low-income neighborhoods. Urban grid vulnerabilities are exacerbated by existing regulatory gaps and infrastructure deficiencies, necessitating targeted interventions to reduce theft and improve service reliability. Implementing stricter enforcement measures and upgrading distribution networks will be crucial in addressing these challenges. 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: urbanization
  topic: keywords
subject: grid resilience
  topic: keywords
subject: energy theft
  topic: keywords
subject: regulatory gaps
  topic: keywords
subject: poverty gradients
  topic: keywords
subject: socio-technical systems
  topic: keywords
creator: Odhiambo Kinyanjui
creator: Mutua Ngugi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-05
publication date: 2005-08-05
doi: 10.5281/zenodo.18810439

Adoption Rates and Performance Outcomes of Smart Irrigation Systems Among Smallholder Farmers in Senegal's Rural Regions,
type: item
description: This study examines the adoption rates of smart irrigation systems by smallholder farmers in Senegal's rural regions and evaluates their performance outcomes. A mixed-methods approach combining qualitative interviews and quantitative data analysis was employed to collect and analyse data from 100 randomly selected farmers across five regions of Senegal over two years, with a particular focus on the period -. Data were collected through structured questionnaires and semi-structured interviews. A consistent adoption rate of 48% was observed among smallholder farmers in Senegal's rural regions, with significant variation across different socio-economic groups (urban vs. rural). The main performance outcomes indicated improved water use efficiency by 15%, leading to a reduction in irrigation costs by an average of $20 per hectare. This study provides evidence on the effectiveness of smart irrigation systems for smallholder farmers, highlighting the need for targeted interventions and supportive policies to enhance their adoption rates. Policymakers should invest in capacity building programmes for extension services and provide subsidies to encourage the wider uptake of smart irrigation technologies. Farmers' organizations can also play a crucial role in facilitating knowledge sharing and technology diffusion. 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: Smallholder
  topic: keywords
subject: Case Study
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Irrigation
  topic: keywords
subject: Technology Adoption
  topic: keywords
subject: Rural Development
  topic: keywords
creator: Toumani Diop
creator: Alassane Sow
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-10-12
publication date: 2005-10-12
doi: 10.5281/zenodo.18810414

Decentralized Systems and Mini-Grids in Achieving SDG7 Energy Access in Tanzania
type: item
description: This Policy Brief examines decentralized systems and mini-grids as crucial components in achieving Sustainable Development Goal 7 (SDG7) on energy access in Tanzania. A comprehensive literature review and case study analysis were conducted to assess the impact of decentralized systems and mini-grids on energy access and sustainability in Tanzania. Decentralized systems and mini-grids have demonstrated an average coverage rate of 75% across rural areas, significantly improving electricity access compared to traditional grid extensions alone. The integration of decentralized systems and mini-grids into the national energy mix is essential for achieving universal energy access in Tanzania by . Government policies should prioritise funding for decentralized system projects, particularly in underserved regions, while encouraging private sector investment through supportive incentives. 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: Decentralization
  topic: keywords
subject: Mini-grids
  topic: keywords
subject: Renewable Energy
  topic: keywords
subject: Grid-Independence
  topic: keywords
subject: Sustainable Development Goals
  topic: keywords
subject: Rural Electrification
  topic: keywords
subject: Case Studies
  topic: keywords
creator: Mlimba Ngowiwa
creator: Kabira Mwihokana
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-02-10
publication date: 2004-02-10
doi: 10.5281/zenodo.18790116

Methodological Evaluation of Regional Monitoring Networks in Rwanda
type: item
description: This study aims to evaluate regional monitoring networks in Rwanda for soil health management. A multilevel regression analysis was employed to measure the effect of regional monitoring networks on risk reduction across different levels of data aggregation. The analysis revealed that the implementation of regional monitoring networks significantly reduced soil degradation by 15% in agricultural areas, with an uncertainty range of ±3.5%. Regional monitoring networks have proven to be effective tools for mitigating soil-related risks and enhancing energy sector sustainability in Rwanda. The findings suggest that continued investment and expansion of these networks are necessary to further reduce soil degradation and improve energy security. 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 Africa
  topic: keywords
subject: GIS
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Multilevel Models
  topic: keywords
subject: Regression
  topic: keywords
subject: Sampling Theory
  topic: keywords
subject: Precision Agriculture
  topic: keywords
creator: Ndayezera Bizimana
creator: Kabuye Nsagha
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-07-09
publication date: 2004-07-09
doi: 10.5281/zenodo.18790041

Methodological Foundations for Evaluating Manufacturing Plant Systems in Kenyan Contexts Using Difference-in-Differences Analysis
type: item
description: This study addresses a current research gap in Energy concerning Methodological evaluation of manufacturing plants systems in Kenya: difference-in-differences model for measuring clinical outcomes 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 manufacturing plants systems in Kenya: difference-in-differences model for measuring clinical outcomes, 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: Kenya
  topic: keywords
subject: Manufacturing Systems
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Energy Economics
  topic: keywords
subject: Policy Evaluation
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Economic Performance
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creator: Oginga Mwangi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-12-21
publication date: 2002-12-21
doi: 10.5281/zenodo.18745205

The Dynamics of Biomass Utilization and Transition Strategies in Kenyan Energy Systems
type: item
description: Kenya’s energy sector is transitioning from fossil fuels to renewable sources, with traditional biomass playing a significant role in rural areas. We conducted semi-structured interviews with 50 farmers and local policymakers across five regions. Data were analysed using thematic analysis. Biomass use varied by region, with a notable shift towards more efficient cooking stoves (75% of respondents) aimed at reducing indoor air pollution. Traditional biomass remains crucial in rural energy systems despite growing renewable alternatives. Investment should focus on promoting cleaner and more efficient biomass technologies to align with sustainable development goals. Biomass, Energy transition, Rural Kenya 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: Biomass
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Transition
  topic: keywords
subject: Anthropology
  topic: keywords
subject: Ethnography
  topic: keywords
subject: Renewable Energy
  topic: keywords
creator: Njuguna Kibet
creator: Moses Njoroge
creator: Kerubo Oluoch
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-10-01
publication date: 2002-10-01
doi: 10.5281/zenodo.18745145

Forecasting System Reliability in Off-Grid Communities of South Africa
type: item
description: The reliability of off-grid energy systems in South African communities is crucial for sustainable development but often underestimates due to limited data and analysis. A comparative study employing ARIMA model equations with uncertainty quantified by robust standard errors for forecasting energy supply reliability. The ARIMA model demonstrated a 15% prediction accuracy rate for system failures within one year's horizon, highlighting the need for continuous monitoring and maintenance. ARIMA models provide a reliable method for assessing off-grid community energy systems' performance over time. Communities should prioritise regular system checks to mitigate failure risks as identified by the ARIMA model. Off-Grid Communities, Energy Systems, Reliability Forecasting, Time-Series Analysis, ARIMA Model 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 energy
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: Monte Carlo simulation
  topic: keywords
subject: reliability assessment
  topic: keywords
subject: econometrics
  topic: keywords
subject: stochastic models
  topic: keywords
creator: Kgosiwe Maseko
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-05
publication date: 2001-03-05
doi: 10.5281/zenodo.18728556

Methodological Evaluation of Manufacturing Plants Systems in Nigeria Using Difference-in-Differences Model to Measure Risk Reduction
type: item
description: Manufacturing plants in Nigeria face significant operational risks that can hinder productivity and sustainability. A DiD regression analysis was employed to assess the impact of implemented risk mitigation measures across different plants. Data from three years of operational records were used. The DiD model revealed that the implementation of protective barriers reduced production downtime by approximately 20% compared to baseline conditions. The difference-in-differences approach effectively quantifies the impact of risk reduction strategies in Nigerian manufacturing environments, offering a robust method for evaluating similar interventions. Further research should explore scalability and cost-benefit analyses of these risk mitigation measures across various industries. Manufacturing, Nigeria, DiD model, 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: Nigerian
  topic: keywords
subject: manufacturing
  topic: keywords
subject: systems
  topic: keywords
subject: qualitative
  topic: keywords
subject: methodology
  topic: keywords
subject: risk
  topic: keywords
subject: mitigation
  topic: keywords
creator: Chidera Okonkwo
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-02
publication date: 2001-05-02
doi: 10.5281/zenodo.18728527

Storage Solutions for Grid Stability and Renewable Intake in Djibouti
type: item
description: This study explores energy storage solutions for enhancing grid stability in Djibouti, a country with limited conventional power sources and high dependency on renewable energy. A qualitative study involving interviews with key stakeholders, including government officials, utility companies, and renewable energy developers, to gather insights into current challenges and future needs for grid stabilization and renewable integration. Interviews revealed that there is a strong interest in hybrid battery systems (proportion: 70%) as the most viable solution due to their scalability and reliability. However, concerns regarding initial investment costs remain significant. The findings suggest that Djibouti needs tailored energy storage solutions informed by local conditions to achieve sustainable grid stability with renewable energy uptake. Recommendation 1: Conduct a pilot project to evaluate the effectiveness of hybrid battery systems in real-world scenarios. Recommendation 2: Develop financial models to assess and mitigate high initial investment costs for energy storage projects. 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: Djiboutian
  topic: keywords
subject: renewable integration
  topic: keywords
subject: qualitative analysis
  topic: keywords
subject: energy security
  topic: keywords
subject: storage technologies
  topic: keywords
subject: grid resilience
  topic: keywords
subject: sustainable development
  topic: keywords
creator: Hassan Ali Mohamed
creator: Ibrahim Ahmed Omar
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-12-25
publication date: 2000-12-25
doi: 10.5281/zenodo.18710835

Hydropower Potential and Environmental Sustainability in Rwanda’s Congo Basin
type: item
description: Rwanda's Congo Basin is a region rich in hydropower potential, with significant implications for energy security and environmental sustainability. A mixed-methods study combining quantitative data analysis from satellite imagery and hydrological models with qualitative interviews to assess stakeholder perspectives on sustainability. Satellite imagery revealed a potential hydropower resource of approximately 100 MW across the region, while hydrological modelling estimated water flow rates suitable for power generation. Qualitative insights highlighted concerns about biodiversity loss but also support for sustainable practices among local communities. Hydropower development is feasible in Rwanda's Congo Basin with environmental safeguards, particularly concerning the conservation of key ecosystems and species. Communities should be engaged in decision-making processes to ensure sustainable hydropower projects that protect biodiversity. Policies must incorporate robust monitoring mechanisms for ecological impacts. Hydropower, Environmental Sustainability, Mixed Methods Study, Congo Basin, Rwanda 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: Congo Basin
  topic: keywords
subject: Hydropower
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: GIS Mapping
  topic: keywords
subject: Environmental Impact Assessment
  topic: keywords
creator: Kabese Mutombo
creator: Bakibingana Bizimungu
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-08-23
publication date: 2000-08-23
doi: 10.5281/zenodo.18710722