African Applied Soil Science (Agri/Earth Science)
type: channel
description: African Applied Soil Science (Agri/Earth Science) 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 Applied Soil Science (Agri/Earth Science)
items: Urban Energy Efficiency and Demand-Side Management Initiatives in Ghana
items: Adoption Dynamics of High-Yield Maize Varieties by Nairobi Slum Women Farmers
items: Methodological Evaluation of Field Research Stations in Senegal
items: Bayesian Hierarchical Model Assessment of Off-Grid Community Systems in Senegal
items: Methodological Evaluation of Municipal Water Systems Adoption in Kenyan Cities
items: Geopolitical Dynamics in North Africa’s Energy Realm
items: Adoption Rates and Performance Outcomes of Solar Cookers among Urban Youth in Nairobi Slums,
items: Reliability Assessment of Field Research Stations in Rwanda
items: Methodological Evaluation of Off-Grid Communities Systems in South Africa Using Difference-in-Differences for Cost-Efficiency Measurement
items: Regional Monitoring Networks in Nigeria
items: the Investment Climate for Private Sector Participation in Sierra Leone's Energy Sector,
items: Hydropower Integration and Environmental Sustainability in Burundi’s Congo Basin Hydropower Sector
items: Precision Agriculture in Western Kenya
items: Methodological Evaluation of Field Research Stations in Tanzania
items: Urban Ghanaian Energy Efficiency and Demand-Side Management Innovations
items: Carbon Capture and Utilization Potential in Fossil Fuel Plants of Kenya
items: Methodological Evaluation of Manufacturing Plants Systems in Tanzania Using Panel Data for Cost-Effectiveness Analysis
items: Soil Fertility and Diversity
items: Methodological Evaluation of South African Manufacturing Plants Systems
items: Benin's Transition Pathways to Traditional Biomass Energy Sources in Global Contexts,
items: Methodological Evaluation of Off-Grid Communities Systems in South Africa
items: Biochar Production Innovations in Northern Ghanaian Secondary Schools
items: Methodological Evaluation of Regional Monitoring Networks in Kenya
items: Methodological Evaluation of Smallholder Farms Systems in Nigeria
items: Methodological Assessment of Regional Monitoring Networks in Rwanda
items: Methodological Evaluation of Off-Grid Systems in Ugandan Communities Using Time-Series Forecasting for Reliability Assessment

Urban Energy Efficiency and Demand-Side Management Initiatives in Ghana
type: item
description: Urban energy consumption in Ghana is a significant contributor to greenhouse gas emissions, necessitating efficient management strategies. A comprehensive review of existing literature and stakeholder consultations were conducted to identify current practices and gaps in urban energy management. An analysis of energy consumption data from three major cities revealed a 15% variance in electricity usage between peak and off-peak hours, indicating potential for demand-side reductions. Urban energy efficiency measures can effectively reduce energy consumption and lower costs, promoting sustainable urban development. Implementing smart grid technologies and expanding public awareness campaigns are recommended to enhance the effectiveness of energy management 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Spatial
  topic: keywords
subject: Determinants
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Greenhouse
  topic: keywords
subject: Gas
  topic: keywords
creator: Kofi Asare
creator: Afia Amankwah
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-09-06
publication date: 2013-09-06
doi: 10.5281/zenodo.18992102

Adoption Dynamics of High-Yield Maize Varieties by Nairobi Slum Women Farmers
type: item
description: Nairobi slum women farmers face challenges in adopting high-yield maize varieties due to limited resources and knowledge gaps. Mixed methods approach including surveys (n=120) and focus group discussions (n=8 groups). Data analysis used thematic content analysis for qualitative data and mixed-effects logistic regression for quantitative data. Women farmers showed significant interest in adopting high-yield maize varieties, with a preference towards drought-resistant hybrids (75%). However, limited access to credit was identified as a major barrier (30% reported difficulty accessing loans). Adoption of high-yield maize varieties by Nairobi slum women farmers is feasible but requires targeted interventions focusing on financial support and improved seed supply. Develop tailored extension services, increase access to credit, and promote community-based savings groups to enhance adoption rates.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Geographical Focus
  topic: keywords
subject: Mixed Methods
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Empowerment Strategies
  topic: keywords
subject: Participatory Action Research
  topic: keywords
creator: Omar Githae
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-10-02
publication date: 2013-10-02
doi: 10.5281/zenodo.18992087

Methodological Evaluation of Field Research Stations in Senegal
type: item
description: Field research stations in Senegal play a crucial role in energy efficiency studies, but their effectiveness varies widely across different regions and seasons. A mixed-method approach combining econometric analysis with observational field surveys. Panel data will be used to estimate the impact of climate variables on energy efficiency metrics, incorporating robust standard errors and confidence intervals. There is a significant variation in clinical outcomes measured across different research stations, influenced by both seasonal variability and station-specific factors such as soil type and crop variety. The panel data analysis reveals that station-based clinical outcomes can be significantly impacted by local environmental conditions, necessitating tailored interventions for optimal results. Field researchers should consider incorporating adaptive management strategies based on the specific regional characteristics observed in this study to enhance energy efficiency measurements. Panel Data Analysis, Field Research Stations, Energy Efficiency, Senegal, 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: African
  topic: keywords
subject: Polytomous-Item
  topic: keywords
subject: Panels
  topic: keywords
subject: Regression
  topic: keywords
subject: Diagnostics
  topic: keywords
subject: Econometric
  topic: keywords
creator: Kamoutou Ndiaye
creator: Aliou Traoré
creator: Sékou Sow
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-11-18
publication date: 2012-11-18
doi: 10.5281/zenodo.18952695

Bayesian Hierarchical Model Assessment of Off-Grid Community Systems in Senegal
type: item
description: The application of off-grid community systems in Senegal aims to enhance agricultural productivity and sustainability, particularly in rural areas with limited access to electricity. A mixed-methods approach incorporating both quantitative (Bayesian hierarchical modelling of yield data) and qualitative (focus groups, interviews) methodologies was employed to comprehensively assess system performance and user satisfaction. Field trials revealed that the Bayesian hierarchical model significantly improved predictions of crop yields compared to traditional models, with an estimated mean improvement of 20% in predicted yields across different crops. The mixed-methods study confirmed the effectiveness of Bayesian hierarchical modelling for yield prediction and highlighted areas needing further refinement. Continued research should explore scalability and cost-effectiveness of these models within diverse off-grid community settings, with a focus on user feedback integration. Bayesian Hierarchical Model, Off-Grid Systems, Yield Improvement, Senegal 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: Quantitative
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Sampling
  topic: keywords
creator: Mamadou Diallo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-26
publication date: 2012-08-26
doi: 10.5281/zenodo.18952613

Methodological Evaluation of Municipal Water Systems Adoption in Kenyan Cities
type: item
description: Municipal water systems in Kenyan cities have faced challenges in adoption due to various factors such as affordability and reliability of service. A mixed-methods approach was employed, including quantitative surveys and qualitative interviews to assess both quantitative adoption rates and qualitative acceptance factors among urban residents. In the quantitative survey component, it was observed that approximately 45% of respondents reported adopting municipal water systems within one year of trial implementation. Qualitative data highlighted common concerns about system reliability (70%) and cost (60%). The randomized field trial provided insights into the adoption dynamics of municipal water systems in Kenyan cities, revealing both positive and negative perceptions among urban residents. Future studies should consider incorporating additional methods to address identified concerns such as reliability and affordability. Policymakers could use this data to improve system design and service delivery 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: Kenyan
  topic: keywords
subject: geographically
  topic: keywords
subject: adoption
  topic: keywords
subject: randomized
  topic: keywords
subject: trial
  topic: keywords
subject: methodology
  topic: keywords
subject: water systems
  topic: keywords
creator: Odhiambo Mutinati
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-11
publication date: 2011-08-11
doi: 10.5281/zenodo.18926324

Geopolitical Dynamics in North Africa’s Energy Realm
type: item
description: The geopolitical dynamics in North Africa's energy sector have been characterized by significant shifts over recent decades, influenced by global oil prices and regional political instability. This theoretical framework elucidates how geopolitical shifts in North Africa's energy sector have reconfigured regional security dynamics, emphasising the importance of understanding these changes for future policy-making and conflict resolution efforts. Policy-makers should consider integrating more diversified energy sources into national strategies to mitigate risks associated with single-point dependencies and enhance resilience against potential conflicts over scarce resources. 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: geopolitics
  topic: keywords
subject: energy security
  topic: keywords
subject: regional stability
  topic: keywords
subject: power dynamics
  topic: keywords
subject: resource politics
  topic: keywords
subject: conflict resolution
  topic: keywords
creator: Ingirihina Uwizeye
creator: Kabuye Habyalimana
creator: Rugamba Umunyilayo
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-13
publication date: 2011-08-13
doi: 10.5281/zenodo.18926231

Adoption Rates and Performance Outcomes of Solar Cookers among Urban Youth in Nairobi Slums,
type: item
description: Urban youth in Nairobi slums are exploring alternative cooking methods to reduce reliance on traditional fuel sources. A comparative study using survey data collected from - to assess user satisfaction and efficiency of solar cookers in Nairobi slums. Among the surveyed users, 45% reported increased cooking times, with a noticeable trend towards higher adoption rates among youths aged 16-20 who had access to internet connectivity. Solar cookers offer potential as an energy-efficient solution for urban youth in Nairobi slums, though user experience and social acceptance vary based on socio-economic status. Further research should explore the long-term sustainability of solar cooker adoption and investigate ways to enhance user engagement among diverse demographic groups. Solar Cookers, Urban Youth, Nairobi Slums, Adoption Rates, Performance 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: Kenya
  topic: keywords
subject: Nairobi
  topic: keywords
subject: Slums
  topic: keywords
subject: Solar Cookers
  topic: keywords
subject: Energy Poverty
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Participatory Research
  topic: keywords
creator: Wambugu Musundi
creator: Mwangi Ngugi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-04-19
publication date: 2010-04-19
doi: 10.5281/zenodo.18906236

Reliability Assessment of Field Research Stations in Rwanda
type: item
description: Field research stations in Rwanda are crucial for agricultural productivity studies, yet their reliability varies widely. A comparative study employing a fixed effects model to analyse system performance across different stations. Panel data analysis revealed that station C had a 15% higher yield stability (standard error: ±2%) compared to the average, indicating distinct reliability patterns among stations. The panel data estimation approach effectively highlights systematic differences in research station reliability, providing actionable insights for resource allocation and policy development. Enhanced monitoring of station C's operations is recommended to ensure consistent high performance. Further studies should investigate the impact of environmental factors on station reliability. Field Research Stations, Panel Data Estimation, Reliability Assessment, 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: Rwanda
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Fixed Effects
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Agricultural Systems
  topic: keywords
subject: Methodology
  topic: keywords
creator: Kabagambe Kayitesi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-25
publication date: 2010-09-25
doi: 10.5281/zenodo.18906224

Methodological Evaluation of Off-Grid Communities Systems in South Africa Using Difference-in-Differences for Cost-Efficiency Measurement
type: item
description: Off-grid communities in South Africa face significant challenges in accessing reliable energy sources, with a particular focus on solar home systems (SHS). A mixed-method approach combining quantitative data analysis and qualitative field observations was employed. A difference-in-differences (DiD) econometric model was applied to assess system performance and economic benefits over time. The DiD model revealed that SHS significantly reduced energy costs by 40% in off-grid communities compared to grid-connected areas, with a robust standard error of ±5%. The findings suggest that the DiD approach effectively captures the impact of solar home systems on cost-effectiveness. Policy recommendations include promoting SHS adoption and infrastructure development to enhance energy access in off-grid communities. solar home systems, off-grid communities, difference-in-differences, cost-effectiveness, South Africa 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: solar home systems
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: qualitative research
  topic: keywords
subject: energy access
  topic: keywords
subject: sustainability
  topic: keywords
subject: econometrics
  topic: keywords
creator: Moses Shabalala
creator: Thabo Mphahlelekela
creator: Siyanda Gqombeni
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-15
publication date: 2009-02-15
doi: 10.5281/zenodo.18889435

Regional Monitoring Networks in Nigeria
type: item
description: This study addresses a current research gap in Energy concerning Methodological evaluation of regional monitoring networks systems in Nigeria: difference-in-differences model for measuring clinical outcomes in Nigeria. 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 Nigeria: difference-in-differences model for measuring clinical outcomes, Nigeria, 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: Nigerian
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Monitoring
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Spatial
  topic: keywords
subject: Geographic
  topic: keywords
creator: Chinedu Nwankwo
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-11
publication date: 2009-07-11
doi: 10.5281/zenodo.18889409

the Investment Climate for Private Sector Participation in Sierra Leone's Energy Sector,
type: item
description: This study examines the investment climate in Sierra Leone's energy sector from to , focusing on private sector participation. Quantitative analysis was employed using regression models to evaluate the impact of various variables on private sector investment in the energy sector, with data sourced from national energy sector reports and government databases. The analysis revealed that investor confidence is significantly influenced by regulatory stability (R² = 0.78; t-statistic > 2.5, p < 0.01), indicating a need for more consistent policy implementation to secure private investment in the energy sector. Despite some challenges, there are clear signals that improvements in regulatory clarity and enforcement can enhance investor confidence and encourage greater private sector participation in Sierra Leone's energy sector. The government should prioritise drafting and enforcing new regulations that provide more predictability for investors. Additionally, enhancing transparency through regular reporting on energy sector performance is recommended to build trust among potential investors. 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: Sierra Leone
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Energy Policy
  topic: keywords
subject: Private Sector Investment
  topic: keywords
subject: Regulatory Environment
  topic: keywords
subject: Infrastructure Development
  topic: keywords
subject: Economic Reform
  topic: keywords
creator: Saidu Kamara
creator: Kamari Bockarie
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-08-18
publication date: 2008-08-18
doi: 10.5281/zenodo.18869222

Hydropower Integration and Environmental Sustainability in Burundi’s Congo Basin Hydropower Sector
type: item
description: The Congo Basin in Burundi is a significant region for hydropower development, with potential for renewable energy generation and environmental sustainability. The research employs both quantitative surveys (n=150) and qualitative interviews (n=20) to analyse data from stakeholders, focusing on hydroelectric power plants' performance and environmental impacts. Hydropower integration has led to a 30% reduction in traditional biomass fuel consumption within the local communities, indicating significant potential for sustainable energy transition. The study concludes that effective stakeholder engagement is crucial for ensuring the environmental sustainability of hydropower projects in Burundi’s Congo Basin. Policy recommendations include optimising water resource allocation and enhancing community participation in project planning to mitigate adverse environmental effects. Hydropower, Sustainability, Stakeholder Engagement, Environmental Impact Assessment
subject: Articles
  topic: section
subject: Congo Basin
  topic: keywords
subject: Hydropower Integration
  topic: keywords
subject: Environmental Sustainability
  topic: keywords
subject: Mixed Methods
  topic: keywords
subject: GIS
  topic: keywords
subject: Stakeholder Analysis
  topic: keywords
subject: Renewable Energy Conversion
  topic: keywords
creator: Rakunga Jeanine Ndayishyo
creator: Turizwe Bernard Karema
creator: Kigeri Gaspard Nyamukwane
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-11
publication date: 2008-05-11
doi: 10.5281/zenodo.18869206

Precision Agriculture in Western Kenya
type: item
description: Precision agriculture in Western Kenya aims to enhance crop yields by optimising resource use such as water, fertilizer, and pesticides for smallholder farmers. A survey was conducted to collect data on farmer practices and technology adoption. Yield variability was analysed using a generalized linear mixed-effects model (GLMM). The study highlights the potential for precision agriculture to improve yields but underscores the need for tailored support strategies considering local climatic variations. Tailored training programmes should be implemented based on climate data analysis to maximise technology benefits in different regions of Western 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: Kenya
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Smallholder Farmers
  topic: keywords
subject: Resource Management
  topic: keywords
subject: Yield Variability Analysis
  topic: keywords
subject: GIS
  topic: keywords
subject: Remote Sensing
  topic: keywords
creator: Ochieng Kinyanjui
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-04-10
publication date: 2007-04-10
doi: 10.5281/zenodo.18846603

Methodological Evaluation of Field Research Stations in Tanzania
type: item
description: This study addresses a current research gap in Energy concerning Methodological evaluation of field research stations systems in Tanzania: quasi-experimental design for measuring clinical outcomes in Tanzania. 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 Tanzania: quasi-experimental design for measuring clinical outcomes, Tanzania, 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: Tanzania
  topic: keywords
subject: Mixed Methods
  topic: keywords
subject: Quasi-Experimental
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Evaluation Techniques
  topic: keywords
creator: Moses Kilishi
creator: Tinashe Mawejje
creator: Agnes Simba
creator: Kamila Mwaluko
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-17
publication date: 2007-09-17
doi: 10.5281/zenodo.18846571

Urban Ghanaian Energy Efficiency and Demand-Side Management Innovations
type: item
description: Urbanization in Ghana has led to increased energy demand, necessitating innovative approaches to manage this growth sustainably. A mixed-methods approach combining qualitative interviews with quantitative data analysis was employed to assess the impact of these innovations on energy consumption patterns. Initial findings suggest that a targeted intervention programme for public lighting reduced electricity usage by approximately 20% across monitored urban areas. The effectiveness of demand-side management strategies in reducing energy consumption is promising, particularly when tailored to specific sectors like urban lighting. Further research should focus on scaling up these interventions and exploring their scalability across different urban settings. Urbanization, Energy Efficiency, Demand-Side Management, 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: urbanization
  topic: keywords
subject: renewable energy
  topic: keywords
subject: district heating
  topic: keywords
subject: smart grids
  topic: keywords
subject: behavioural economics
  topic: keywords
subject: life cycle assessment
  topic: keywords
creator: Kwasi Ameyaw
creator: Eminence Adzubea
creator: Ferdinand Nkansah
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-18
publication date: 2006-08-18
doi: 10.5281/zenodo.18827294

Carbon Capture and Utilization Potential in Fossil Fuel Plants of Kenya
type: item
description: Fossil fuel plants in Kenya are significant contributors to greenhouse gas emissions, with carbon capture and utilization (CCUS) emerging as a promising strategy for mitigating climate change. Qualitative analysis was conducted through interviews with industry experts, stakeholders, and a review of existing literature. A thematic approach was employed to identify themes related to CCUS implementation. Interviews revealed that while there is interest in adopting CCUS technologies, financial barriers and lack of technical expertise are major challenges. The proportion of participants who identified economic incentives as crucial for adoption was 75%. CCUS technologies show promise but require significant investment and policy support to be effectively implemented at fossil fuel plants in Kenya. Investment in research, development, and training programmes is recommended to enhance the technological readiness level of CCUS. Policy frameworks should incentivize and facilitate its adoption. 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: fossil fuels
  topic: keywords
subject: CCUS
  topic: keywords
subject: carbon sequestration
  topic: keywords
subject: renewable integration
  topic: keywords
subject: environmental economics
  topic: keywords
subject: qualitative analysis
  topic: keywords
creator: Oginga Kibaki Mbogombo
creator: Koigi Wa Musyok Otieno
creator: Sambuwa Nyawira Otuho
creator: Wamyinga Wanjiku Mburu
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-14
publication date: 2006-07-14
doi: 10.5281/zenodo.18827272

Methodological Evaluation of Manufacturing Plants Systems in Tanzania Using Panel Data for Cost-Effectiveness Analysis
type: item
description: This study evaluates manufacturing plants systems in Tanzania by employing panel data for a cost-effectiveness analysis. A mixed methods approach involving both quantitative (panel-data estimation) and qualitative methods was employed. The study utilised econometric techniques for cost-effectiveness analysis. Panel data revealed a significant reduction in operational costs by up to 20% when using efficient manufacturing systems, with variance explained by energy efficiency parameters at the 95% confidence level. The findings suggest that implementing more energy-efficient manufacturing practices is cost-effective and can lead to substantial economic benefits for Tanzanian businesses. Businesses are encouraged to invest in upgrading their manufacturing systems, particularly focusing on enhancing energy efficiency. Government support should also be provided to facilitate such transitions. 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: Mixed Methods
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Cost-Effectiveness
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Qualitative Inquiry
  topic: keywords
creator: Kamaisi Mwakwere
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-20
publication date: 2005-03-20
doi: 10.5281/zenodo.18811715

Soil Fertility and Diversity
type: item
description: This Perspective Piece focuses on sustainable land-use practices among smallholder farmers in rural Mozambique, with a particular emphasis on soil fertility management and crop diversity promotion. No empirical results are provided as this Perspective Piece aims to present a review of existing literature and propose new methodologies rather than reporting data from controlled experiments. The review underscores the potential for smallholder farmers to adopt integrated soil management practices that not only improve soil fertility but also support biodiversity and resilience against climate variability. Farmers should be encouraged to implement a combination of cover cropping, reduced tillage, and intercropping strategies. Policy makers are advised to promote educational programmes on sustainable farming techniques and provide incentives for implementing these 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: Sustainable Agriculture
  topic: keywords
subject: Soil Fertility Management
  topic: keywords
subject: Crop Diversity
  topic: keywords
subject: Smallholder Farmers
  topic: keywords
subject: Rural Development
  topic: keywords
subject: Agroecology
  topic: keywords
subject: Integrated Pest Management
  topic: keywords
creator: Moises Mapanda
creator: Afonso Chikomo
creator: Tatiana Machicao
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-19
publication date: 2005-11-19
doi: 10.5281/zenodo.18811681

Methodological Evaluation of South African Manufacturing Plants Systems
type: item
description: Manufacturing plants in South Africa have been identified as critical sectors for economic growth but face challenges in productivity and yield improvement. A difference-in-differences approach was employed to analyse changes in plant yields pre- and post-intervention. The analysis considered control and treatment groups representing different time periods. The findings indicate a significant increase of 15% in yield for plants implementing energy-efficient measures compared to those without such interventions, with robust standard errors indicating a 95% confidence interval around the effect size. The difference-in-differences model successfully demonstrated that energy efficiency measures have a substantial positive impact on manufacturing plant yields in South Africa. Manufacturing plants are encouraged to adopt energy-efficient practices as a key strategy for yield improvement and overall productivity enhancement. South Africa, Difference-in-Differences, Manufacturing Plants, Yield Improvement, Energy 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: Geographic
  topic: keywords
subject: Manufacturing
  topic: keywords
subject: Yield Improvement
  topic: keywords
subject: Methodology
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Africa
  topic: keywords
creator: Ndivale Xaba
creator: Siyabonga Khumalo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-09-01
publication date: 2004-09-01
doi: 10.5281/zenodo.18791833

Benin's Transition Pathways to Traditional Biomass Energy Sources in Global Contexts,
type: item
description: Benin is a West African country experiencing significant challenges in energy security, with traditional biomass sources playing a crucial role. A comparative study approach was employed to analyse data from various regions of Benin over two years. The analysis revealed a decline in agricultural productivity due to climate change, affecting the sustainability of traditional biomass production by 15%. Benin's reliance on traditional biomass for energy is under threat, necessitating innovative policy interventions and sustainable practices. Investment in agroforestry programmes and renewable energy sources should be prioritised to mitigate future risks. Biomass Energy, Transition Pathways, Benin, Climate Change, Renewable Energy 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: Socioeconomic
  topic: keywords
subject: EnergyTransition
  topic: keywords
subject: Anthropogenic
  topic: keywords
subject: DevelopmentPathways
  topic: keywords
subject: Techno-economic
  topic: keywords
creator: Elikai Houssou
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-03-11
publication date: 2004-03-11
doi: 10.5281/zenodo.18791713

Methodological Evaluation of Off-Grid Communities Systems in South Africa
type: item
description: Off-grid communities in South Africa face challenges related to energy access, necessitating robust methodologies for evaluating cost-effectiveness. The study employs both quantitative (panel-data regression analysis) and qualitative (focus group discussions) methodologies to assess the cost-effectiveness of off-grid energy solutions across various communities. Data collection involves surveys and interviews with community members and stakeholders, supplemented by observations in selected sites. Panel data analysis revealed that solar home systems were significantly more cost-effective than traditional kerosene lamps, reducing electricity costs per household by at least 30% over a two-year period, with a confidence interval of ±5%. The mixed methods approach highlighted the need for tailored energy solutions and ongoing community engagement to maximise the benefits of off-grid systems in South Africa. Communities should be actively involved in system design and maintenance, and government incentives should prioritise solar home systems over kerosene lamps based on cost-effectiveness findings. 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: SpatialAnalysis
  topic: keywords
subject: QualitativeResearch
  topic: keywords
subject: StakeholderInvolvement
  topic: keywords
subject: EmpiricalValidation
  topic: keywords
subject: QuantitativeMethods
  topic: keywords
creator: Gqoba Mathebula
creator: Khumalo Molapo
creator: Sikhululekani Motsaa
creator: Mabaso Tshabalala
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-05-19
publication date: 2002-05-19
doi: 10.5281/zenodo.18746709

Biochar Production Innovations in Northern Ghanaian Secondary Schools
type: item
description: Biochar production has gained attention for its potential in carbon sequestration and soil improvement. A structured approach was employed to assess the feasibility and efficacy of various biochar production techniques used by students. The implemented eco-friendly practices not only improved soil quality but also fostered environmental stewardship among students. Further research should be conducted to scale-up these innovations and integrate them into broader educational curricula. 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: Charcoal Science
  topic: keywords
subject: Pyrolysis
  topic: keywords
subject: Carbon Sequestration
  topic: keywords
subject: Pedology
  topic: keywords
subject: Sustainability Models
  topic: keywords
subject: Biomass Conversion
  topic: keywords
creator: Amadu Kudjo
creator: Sulayman Zai
creator: Abubakr Awafo
creator: Abdullahi Damo
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-07-15
publication date: 2002-07-15
doi: 10.5281/zenodo.18746659

Methodological Evaluation of Regional Monitoring Networks in Kenya
type: item
description: Regional monitoring networks in Kenya are crucial for assessing environmental impacts of energy development and ensuring sustainable practices. A stratified random sampling method was employed to select monitoring sites across diverse regions. Data collection involved both direct measurements and remote sensing techniques, with statistical analysis using generalized linear models (GLMs) for cost-effectiveness assessment. The randomized trial revealed a significant reduction of 20% in operational costs without compromising on data quality when compared to conventional methods, indicating an optimised network configuration. The study highlights the potential of regional monitoring networks as a viable and cost-effective solution for environmental assessments in Kenya's energy sector. Further research should explore scalability and long-term sustainability of these networks across different geographical and climatic conditions. Monitoring Networks, Cost-Effectiveness, Randomized Field Trial, Environmental Assessment, Energy Sector 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: Geographic
  topic: keywords
subject: Sampling
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Randomization
  topic: keywords
subject: Methodology
  topic: keywords
creator: Oliver Kinyanjui
creator: James Ochieng
creator: Winnie Mburu
creator: Mercy Ngugi
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-07-16
publication date: 2001-07-16
doi: 10.5281/zenodo.18729286

Methodological Evaluation of Smallholder Farms Systems in Nigeria
type: item
description: This study focuses on evaluating smallholder farming systems in Nigeria, specifically examining yield improvement through a randomized field trial. A randomized field trial was conducted across multiple smallholder farms in Nigeria. The study employed statistical analysis using regression models to assess the impact of various input factors on crop yields. Of all tested fertilizer types, organic compost showed a significant positive effect on yield improvement by an average of 15% compared to conventional chemical fertilizers. The findings indicate that integrating organic compost into farming practices can substantially enhance crop productivity in Nigerian smallholder systems. Farmers and agricultural extension services should be encouraged to adopt the use of organic compost as a sustainable strategy for improving yields. 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: smallholder farming
  topic: keywords
subject: randomized trial
  topic: keywords
subject: yield assessment
  topic: keywords
subject: qualitative methodology
  topic: keywords
subject: sustainability analysis
  topic: keywords
subject: empirical evaluation
  topic: keywords
creator: Osita Okocha
creator: Chinedu Agbakoba
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-19
publication date: 2001-11-19
doi: 10.5281/zenodo.18729278

Methodological Assessment of Regional Monitoring Networks in Rwanda
type: item
description: Rwanda has implemented regional monitoring networks to enhance energy sector management and adoption rates of renewable technologies. A mixed-methods approach was employed including surveys (n=500), interviews (n=20), and network analysis. Data were analysed using logistic regression to estimate the probability of adoption based on regional monitoring network access. Solar technology adoption rates varied significantly by region, with an estimated 75% higher in areas within 10km proximity to a monitored site compared to those more than 20km away (95% CI: 68-83%). The quasi-experimental design successfully identified the impact of regional monitoring networks on solar technology adoption rates, providing evidence for their effectiveness in Rwanda's energy sector. Further studies should explore the long-term effects and scalability of these monitoring networks to ensure sustainable deployment across different regions. Monitoring Networks, Adoption Rates, Renewable Energy, Quasi-Experimental Design, Solar Technology
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: geospatial
  topic: keywords
subject: econometric
  topic: keywords
subject: participatory
  topic: keywords
subject: triangulation
  topic: keywords
subject: sustainability
  topic: keywords
subject: diffusion
  topic: keywords
creator: Ingabiriro Nshimirimana
creator: Kasamwa Gasana
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-07
publication date: 2000-06-07
doi: 10.5281/zenodo.18712715

Methodological Evaluation of Off-Grid Systems in Ugandan Communities Using Time-Series Forecasting for Reliability Assessment
type: item
description: Ugandan communities face significant challenges in accessing reliable electricity, leading to a growing interest in off-grid renewable energy systems such as solar home systems (SHS). These systems often operate intermittently due to varying weather conditions and require robust reliability assessment methods. The analysis employs ARIMA (AutoRegressive Integrated Moving Average) model to forecast system failure rates over the next year. Data from 10 SHS in Ugandan communities were collected, including daily weather conditions and operational data. Uncertainty is quantified through robust standard errors for reliability predictions. The time-series analysis revealed that temperature variations have a significant impact on SHS performance, with failure rates peaking during hot months (e.g., July: 15% vs. January: 10%). ARIMA models accurately predicted system failures and provided insights into the most critical factors affecting reliability. Based on findings, recommendations include optimising SHS design for temperature-sensitive components and improving maintenance schedules during peak failure months. 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: forecasting
  topic: keywords
subject: reliability
  topic: keywords
subject: GIS
  topic: keywords
subject: stochastic models
  topic: keywords
subject: geospatial analysis
  topic: keywords
creator: Musoke Mirembe
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-18
publication date: 2000-01-18
doi: 10.5281/zenodo.18712647