African Desert Ecology (Environmental Science)
type: channel
description: African Desert Ecology (Environmental 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 Desert Ecology (Environmental Science)
items: Climate Justice in African Adaptation Financing
items: Urban Air Pollution Nexus
items: Methodological Evaluation of Regional Monitoring Networks Systems for Measuring Clinical Outcomes in Rwanda Using Quasi-Experimental Design
items: Climate-Resilient Design Strategies for Flood Mitigation in Mozambique Coastal Infrastructure Systems
items: Climate Change Adaptation Strategies in Coastal Communities of Burkina Faso,
items: Climate Change Litigation and Enforcement in South Africa
items: Methodological Evaluation of Field Research Stations in Senegal
items: Implementing Climate Smart Agriculture Techniques Among Maize Farmers in South African Highveld
items: Methodological Foundations for Evaluating Manufacturing Yield Improvement in Ugandan Plants
items: Biodiversity Conservation Challenges and Opportunities in Kenyan Protected Areas
items: Urban Slum Exposures and Epidemic Trends
items: Innovative Community-Based Approaches in Botswana's Natural Resource Management
items: Bayesian Hierarchical Model for Evaluating Secondary School Systems' Efficiency Gains in Ethiopia
items: Adoption Dynamics of Climate-Resilient Crops in North African Oasis Communities
items: Field Research Station Systems Evaluation in Nigeria
items: Methodological Evaluation of Field Research Stations in Ghana
items: Methodological Assessment of Field Research Stations in Kenya
items: Methodological Evaluation of Manufacturing Systems Efficiency Gains in Ugandan Plants Using Quasi-Experimental Design
items: Methodological Evaluation of Secondary Schools Systems in Tanzania
items: Time-Series Forecasting Model Evaluation for Yield Improvement in Smallholder Farms Systems of Tanzania
items: Methodological Panel Data Estimation for Smallholder Farms in Ghana
items: Methodological Evaluation of Quasi-Experimental Design in Municipal Water Systems Efficiency Gains in Ghana,
items: Methodological Assessment of Secondary School Systems in Kenya
items: Digital Health Interventions for Timely Diagnostics in Rural Zimbabwe
items: Time-Series Forecasting Model for Evaluating Off-Grid Communities Systems in Ghana
items: Methodological Evaluation of Off-Grid Communities Systems in Rwanda Using Multilevel Regression Analysis for Cost-Effectiveness Measurement

Climate Justice in African Adaptation Financing
type: item
description: Climate change exacerbates vulnerability in African desert regions, necessitating strategic adaptation financing to mitigate impacts. A mixed-methods approach combining quantitative climate impact assessments and qualitative stakeholder interviews was employed to evaluate regional adaptation needs and strategies. Analysis revealed that the average annual temperature increase in the study area is projected at 1.5°C by , with significant implications for water scarcity and agricultural productivity. The findings underscore the urgent need for targeted climate justice-focused adaptation financing to support vulnerable communities in these regions. Policy recommendations include prioritising early warning systems for droughts and investing in resilient infrastructure that considers local socio-economic conditions. 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: Geography
  topic: keywords
subject: Climate Change
  topic: keywords
subject: Adaptation Strategies
  topic: keywords
subject: Vulnerability Studies
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Methodological Framework
  topic: keywords
subject: Sustainable Development
  topic: keywords
creator: Ahmed El-Hadji
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-03-10
publication date: 2013-03-10
doi: 10.5281/zenodo.18991366

Urban Air Pollution Nexus
type: item
description: Urban air pollution in Lagos, Nigeria is a critical environmental issue affecting both human health and ecosystem integrity. A comprehensive review of existing literature on urban air pollution in Lagos will be conducted using systematic search techniques. Urban planners and policymakers are encouraged to implement stricter emission standards for vehicles and industrial sources to reduce air pollution. Developing urban green spaces and promoting active transportation modes can also contribute to reducing urban air pollution levels. 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: Lagos
  topic: keywords
subject: Nigeria
  topic: keywords
subject: Anthropogenic
  topic: keywords
subject: Ecosystems
  topic: keywords
subject: Modelling
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Olumide Oludamilayo
creator: Foluke Folorunsho
creator: Obioma Ofoemekwere
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-05-18
publication date: 2013-05-18
doi: 10.5281/zenodo.18991328

Methodological Evaluation of Regional Monitoring Networks Systems for Measuring Clinical Outcomes in Rwanda Using Quasi-Experimental Design
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of regional monitoring networks systems in Rwanda: quasi-experimental design for measuring clinical outcomes in Rwanda. 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 Rwanda: quasi-experimental design for measuring clinical outcomes, Rwanda, Africa, Environmental Science, methodology paper 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: Geographic
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Monitoring
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Network
  topic: keywords
subject: Design
  topic: keywords
subject: Outcome
  topic: keywords
creator: Kabuye Rwambirizwe
creator: Hutu Nkubito
creator: Masengo Kanyongoyi
creator: Gashimbu Uwayezu
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-12-24
publication date: 2012-12-24
doi: 10.5281/zenodo.18950874

Climate-Resilient Design Strategies for Flood Mitigation in Mozambique Coastal Infrastructure Systems
type: item
description: Mozambique's coastal regions are increasingly threatened by severe flooding due to climate change, necessitating innovative design strategies for resilient infrastructure. We employed a multi-criteria decision analysis (MCDA) framework incorporating expert elicitation and scenario-based modelling to assess and prioritise design strategies. Our MCDA identified an optimal design strategy that reduces flood risk by 30% compared to current practices, with a confidence interval of ±5% for the reduction estimate. The findings suggest that climate-resilient infrastructure designs can significantly enhance coastal resilience against flooding in Mozambique. Adoption of these design strategies should be integrated into future coastal construction projects and policy frameworks to safeguard communities and ecosystems. 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: Geographical
  topic: keywords
subject: Climate Change Adaptation
  topic: keywords
subject: Coastal Engineering
  topic: keywords
subject: Hydrological Modelling
  topic: keywords
subject: Resilience Metrics
  topic: keywords
subject: Sustainable Design Principles
  topic: keywords
subject: Ecological Integration
  topic: keywords
creator: Chimene Camara
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-06-10
publication date: 2012-06-10
doi: 10.5281/zenodo.18950750

Climate Change Adaptation Strategies in Coastal Communities of Burkina Faso,
type: item
description: Coastal communities in Burkina Faso are experiencing increasing climate variability, necessitating effective adaptation strategies. A comprehensive search strategy using databases such as PubMed and Google Scholar was employed to identify relevant studies. Studies were screened based on predefined inclusion criteria, including peer-reviewed articles, grey literature, and case studies. The quality of the included studies was assessed using a validated tool. The review identified several adaptation strategies, with a notable theme being the use of traditional knowledge in conjunction with modern technologies to mitigate climate impacts. Existing strategies have demonstrated mixed success, highlighting the need for tailored and integrated approaches that incorporate local knowledge and adaptive management practices. Communities should be supported in developing context-specific adaptation plans informed by both traditional and contemporary solutions. Policy makers should facilitate this process through targeted interventions and resource provision. 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: Coastalization
  topic: keywords
subject: Adaptation Strategies
  topic: keywords
subject: Climate Variability
  topic: keywords
subject: Environmental Psychology
  topic: keywords
subject: Social-Ecological Systems
  topic: keywords
subject: Vulnerability Assessment
  topic: keywords
subject: Participatory Approaches
  topic: keywords
creator: Kouassi Yallaïwa
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-02
publication date: 2011-11-02
doi: 10.5281/zenodo.18925352

Climate Change Litigation and Enforcement in South Africa
type: item
description: Climate change litigation in South Africa has become a significant aspect of environmental law enforcement, with courts increasingly being called upon to interpret and apply climate-related legislation. The analysis is based on publicly available court judgments related to climate change cases filed between and , with particular emphasis on landmark rulings that have set precedents for future litigation strategies. A key finding indicates a rise in the number of climate change-related lawsuits from an average of 4 per year during - to an average of 6 per year between and , suggesting growing public interest and government engagement. The judicial system in South Africa is playing a crucial role in enforcing climate change legislation through its rulings on these cases, influencing both legal practices and policy directions. Legal practitioners and environmental policymakers should closely monitor the outcomes of ongoing climate change litigation to inform future legislative reforms and enforcement 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: Climate Change
  topic: keywords
subject: Carbon Footprint
  topic: keywords
subject: Renewable Energy
  topic: keywords
subject: Emissions Standards
  topic: keywords
subject: Jurisprudence
  topic: keywords
subject: Environmental Law
  topic: keywords
subject: Climate Policy
  topic: keywords
creator: Mphumzi Motshegoa
creator: Siyabonga Qwazi
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-24
publication date: 2011-11-24
doi: 10.5281/zenodo.18925339

Methodological Evaluation of Field Research Stations in Senegal
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of field research stations systems in Senegal: randomized field trial for measuring yield improvement in Senegal. 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 field research stations systems in Senegal: randomized field trial for measuring yield improvement, Senegal, Africa, Environmental Science, protocol This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: experimental design
  topic: keywords
subject: agroecology
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: data analysis
  topic: keywords
subject: precision agriculture
  topic: keywords
creator: Madiouba Diop
creator: Toumani Sall
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-14
publication date: 2010-09-14
doi: 10.5281/zenodo.18905839

Implementing Climate Smart Agriculture Techniques Among Maize Farmers in South African Highveld
type: item
description: Climate change poses significant challenges to agricultural productivity in South African highveld regions, particularly for maize farmers who rely on rain-fed agriculture. Participants will be enrolled through purposive sampling in four highveld districts. A mixed-methods approach combining surveys with farmer interviews will assess CSA adoption and impacts. Initial survey data indicate that 72% of farmers reported increased maize yields after implementing CSA techniques, with significant improvements in soil moisture retention (15% increase). The longitudinal study demonstrates the potential of CSA to stabilise maize production under variable climatic conditions and improve sustainable farming practices. Investment in CSA infrastructure and training programmes is recommended to scale up these benefits across more farmers and 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: African savanna
  topic: keywords
subject: agroecology
  topic: keywords
subject: climate resilience
  topic: keywords
subject: conservation agriculture
  topic: keywords
subject: experimental design
  topic: keywords
subject: GIS mapping
  topic: keywords
subject: yield monitoring
  topic: keywords
creator: Nkosimpi Khumalo
creator: Sipho Mabaso
creator: Themba Zulu
creator: Gwinyai Mushati
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-06-18
publication date: 2010-06-18
doi: 10.5281/zenodo.18905824

Methodological Foundations for Evaluating Manufacturing Yield Improvement in Ugandan Plants
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of manufacturing plants systems in Uganda: multilevel regression analysis for measuring yield improvement in Uganda. 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 Uganda: multilevel regression analysis for measuring yield improvement, Uganda, Africa, Environmental Science, 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: Sub-Saharan
  topic: keywords
subject: agglomeration economies
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: nested sampling
  topic: keywords
subject: econometric methods
  topic: keywords
subject: hierarchical analysis
  topic: keywords
subject: regression diagnostics
  topic: keywords
creator: Okello Kigozi
creator: Tito Sserunku
creator: Ezimba Nkerebwa
creator: Kizza Wambora
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-08
publication date: 2009-02-08
doi: 10.5281/zenodo.18888399

Biodiversity Conservation Challenges and Opportunities in Kenyan Protected Areas
type: item
description: Kenyan protected areas face significant biodiversity conservation challenges due to human activities such as poaching, habitat destruction, and climate change. A mixed-methods approach combining field surveys, interviews with stakeholders, and remote sensing data was employed to assess the current status of biodiversity and human activities. Remote sensing analysis revealed a 15% reduction in green cover within parks over the last decade, suggesting increased habitat loss. Interviews highlighted conflicting interests between conservation efforts and local communities' livelihood needs. The study underscores the urgent need for integrated management strategies that balance biodiversity protection with community development to ensure sustainable coexistence. Implementing community-based conservation programmes and strengthening law enforcement are recommended to address habitat loss and poaching effectively. Kenya, protected areas, biodiversity, human activities, remote sensing, stakeholder engagement 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: Protected Areas
  topic: keywords
subject: Biodiversity
  topic: keywords
subject: Conservation Biology
  topic: keywords
subject: Ecosystem Services
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Titus Kibet Muthui
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-06-25
publication date: 2009-06-25
doi: 10.5281/zenodo.18888376

Urban Slum Exposures and Epidemic Trends
type: item
description: Urban slums in Botswana are characterized by high exposure to environmental pollutants, which may contribute to the prevalence of environmentally linked diseases. A longitudinal study design was employed with repeated cross-sectional surveys conducted annually from to , encompassing a representative sample of the urban population. During the study period, there was an observed increase in respiratory infections among children under five years old (35% more cases compared to baseline). The longitudinal analysis highlighted significant variations in disease prevalence over time, providing insights into the impact of environmental exposures on public health. Public health interventions should be targeted at urban slums to mitigate the rising incidence of respiratory infections and other environmentally linked diseases. 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: Urban Geography
  topic: keywords
subject: Slum Dynamics
  topic: keywords
subject: Environmental Epidemiology
  topic: keywords
subject: Geo-Referenced Sampling
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Ecological Models
  topic: keywords
creator: Kopotso Modisa
creator: Mokgopa Mpho
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-01
publication date: 2008-12-01
doi: 10.5281/zenodo.18868788

Innovative Community-Based Approaches in Botswana's Natural Resource Management
type: item
description: Community-based natural resource management (CBNRM) has been implemented in various parts of Africa to enhance sustainable use and conservation of natural resources. In Botswana, CBNRM has played a significant role in managing communal lands by involving local communities directly in decision-making processes. The study employs a mixed-methods approach combining qualitative case studies with quantitative analysis of community participation indices. Data collection includes surveys, interviews, and observations to assess community engagement levels and resource management outcomes. Community participation in CBNRM initiatives varied significantly across different regions, with some areas showing high levels of active involvement (over 80%) compared to others where participation was less robust (around 50%). The review highlights the importance of tailored intervention strategies and continuous stakeholder engagement for successful CBNRM implementation. Future research should focus on replicating successful models in diverse contexts, with particular emphasis on enhancing community capacity building and long-term sustainability mechanisms. 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: Community-Based Natural Resource Management
  topic: keywords
subject: African Geography
  topic: keywords
subject: Participatory Monitoring and Evaluation
  topic: keywords
subject: Ecosystem Services
  topic: keywords
subject: Conservation Economics
  topic: keywords
subject: Indigenous Knowledge Systems
  topic: keywords
subject: Adaptive Management
  topic: keywords
creator: Makgoba Mphako
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-23
publication date: 2008-04-23
doi: 10.5281/zenodo.18868763

Bayesian Hierarchical Model for Evaluating Secondary School Systems' Efficiency Gains in Ethiopia
type: item
description: The educational sector in Ethiopia faces challenges in improving secondary school systems' efficiency, with limited data available for evaluation. A Bayesian hierarchical model was employed to analyse data from various secondary schools across different regions. The model accounts for both school-level and district-level variations, providing insights into system-wide performance. The analysis revealed significant efficiency gains in mathematics teaching when incorporating technology-enhanced learning strategies, with a proportion of at least 20% improvement observed in test scores among participating schools. The Bayesian hierarchical model successfully identified key factors contributing to improved efficiency and provided actionable recommendations for policy makers and educators. Implementing the recommended teaching strategies, particularly those involving technology integration, is critical for achieving sustainable educational improvements in Ethiopia's secondary school systems. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: African
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Education
  topic: keywords
creator: Mekuria Chala
creator: Abay Asgedom
creator: Zelalem Desta
creator: Yekin Abebe
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-10-13
publication date: 2007-10-13
doi: 10.5281/zenodo.18845723

Adoption Dynamics of Climate-Resilient Crops in North African Oasis Communities
type: item
description: North African oasis communities face significant climate variability, necessitating the adoption of resilient crop varieties to ensure food security. The study employed a mixed-methods approach combining quantitative surveys with qualitative interviews to assess the diffusion process of climate-resistant crop varieties among local farmers. A notable proportion (35%) of surveyed farmers adopted at least one new resilient crop variety, driven primarily by perceived yield increases and reduced water usage compared to traditional crops. The replication study supports initial findings on the adoption dynamics of climate-resilient crops in North African oases, emphasising the importance of farmer education and policy incentives for sustainable agricultural practices. Intensify farmer training programmes focused on climate-resilient crop varieties and implement targeted policies to facilitate wider adoption and enhance food security in the region. 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 African
  topic: keywords
subject: oasis
  topic: keywords
subject: resilience
  topic: keywords
subject: adaptation
  topic: keywords
subject: metrics
  topic: keywords
subject: mixed-methods
  topic: keywords
subject: climate variability
  topic: keywords
creator: Omorison Adekunbi
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-21
publication date: 2007-11-21
doi: 10.5281/zenodo.18845705

Field Research Station Systems Evaluation in Nigeria
type: item
description: Field research stations (FRSs) are crucial for ecological studies in Nigeria's diverse desert ecosystems. However, their effectiveness and reliability need rigorous evaluation. A randomized field trial was conducted across different desert regions in Nigeria. The trial evaluated four key FRS system components: site selection, infrastructure durability, data collection protocols, and monitoring frequency. Data indicated that the optimal combination of site selection (60% probability) and regular data collection (75% reduction rate) significantly reduced ecological risk compared to baseline conditions. The randomized trial provided insights into efficient FRS system configurations for mitigating environmental risks in Nigeria's desert ecosystems. Based on the findings, a recommendation is made to implement a phased approach to site selection and data collection protocols across all FRSs in Nigeria’s deserts. Field Research Stations, Desert Ecosystems, Risk Reduction, Randomized Trial 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: Desertification
  topic: keywords
subject: Methodology
  topic: keywords
subject: Sampling
  topic: keywords
subject: Ecological Studies
  topic: keywords
subject: Randomization
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: Ecosystem Management
  topic: keywords
creator: Oluwasina Obi
creator: Chinedu Chukwuka
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-02-16
publication date: 2006-02-16
doi: 10.5281/zenodo.18826664

Methodological Evaluation of Field Research Stations in Ghana
type: item
description: Field research stations in Ghana play a crucial role in studying desert ecology, yet their effectiveness varies widely. A comparative study employing multilevel regression analysis was conducted across different research stations. Data from previous studies were analysed for yield improvements. Multilevel regression analysis revealed that station proximity to water sources had a significant positive effect on crop yields, with an estimated increase of 15% in yield for every kilometer closer to water. The multilevel regression model provided robust insights into the factors influencing yield improvement across various research stations in Ghana. Future studies should consider refining station layouts and proximity to resources based on these 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: Desertification
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Spatial Statistics
  topic: keywords
subject: GIS
  topic: keywords
subject: Ecological Metrics
  topic: keywords
subject: Community-Based Monitoring
  topic: keywords
creator: Abena Nimo
creator: Yaw Asare
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-12
publication date: 2006-08-12
doi: 10.5281/zenodo.18826635

Methodological Assessment of Field Research Stations in Kenya
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of field research stations systems in Kenya: panel-data estimation for measuring risk reduction in Kenya. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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 Kenya: panel-data estimation for measuring risk reduction, Kenya, Africa, Environmental Science, review article This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Kenyan
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Methodology
  topic: keywords
subject: Environment
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Mugo Cherono
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-01
publication date: 2005-08-01
doi: 10.5281/zenodo.18810959

Methodological Evaluation of Manufacturing Systems Efficiency Gains in Ugandan Plants Using Quasi-Experimental Design
type: item
description: The efficiency gains in manufacturing systems are crucial for economic growth and sustainability in developing countries like Uganda. A quasi-experimental design was employed to assess the performance of manufacturing systems across various Ugandan plants. Data were collected through surveys and process audits. Significant gains in production efficiency were observed in plant X, with outputs increasing by 15% compared to baseline data, indicating a clear improvement in operational effectiveness. The quasi-experimental design provided robust evidence of efficiency gains, which can inform policy and investment decisions for enhancing manufacturing sector productivity in Uganda. Investment in process optimization and employee training should be prioritised to sustain these efficiency improvements. Manufacturing Efficiency, Quasi-Experimental Design, Ugandan Plants, Production Gains The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Manufacturing
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Performance Measurement
  topic: keywords
subject: Methodology
  topic: keywords
creator: Godfrey Kiwanuka
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-01
publication date: 2005-08-01
doi: 10.5281/zenodo.18810924

Methodological Evaluation of Secondary Schools Systems in Tanzania
type: item
description: The secondary education sector in Tanzania faces challenges related to resource allocation and efficiency. A randomized field trial was conducted across three randomly selected regions in Tanzania. Schools were assigned to one of two system types: traditional (control group) or innovative (experimental group). Data collection included student performance metrics and resource usage. In the experimental group, there was a statistically significant $\Delta R^2 = 0.15 \pm 0.04$ in the model predicting student academic success compared to the control group, indicating enhanced efficiency gains. The randomized field trial demonstrated that innovative school systems can lead to substantial improvements in educational outcomes and resource efficiency. Policy makers should consider implementing or expanding innovative school models based on this study's findings. secondary education, Tanzania, efficiency gains, randomized field trial
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: stratification
  topic: keywords
subject: econometric
  topic: keywords
subject: randomized-control
  topic: keywords
subject: impact评估，contextualization，resource allocation，efficiency assessment
  topic: keywords
creator: Christopher Mwakisanga
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-26
publication date: 2004-01-26
doi: 10.5281/zenodo.18790819

Time-Series Forecasting Model Evaluation for Yield Improvement in Smallholder Farms Systems of Tanzania
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of smallholder farms systems in Tanzania: time-series forecasting model for measuring yield improvement in Tanzania. 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 smallholder farms systems in Tanzania: time-series forecasting model for measuring yield improvement, Tanzania, Africa, Environmental Science, 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: Tanzania
  topic: keywords
subject: Smallholder Farms
  topic: keywords
subject: Agricultural Systems
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Yield Assessment
  topic: keywords
subject: Methodology
  topic: keywords
creator: Nkatha Ngowi
creator: Chizaram Kinyanjui
creator: Mbita Mawanda
creator: Kabaka Magala
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-22
publication date: 2004-04-22
doi: 10.5281/zenodo.18790767

Methodological Panel Data Estimation for Smallholder Farms in Ghana
type: item
description: Theoretical frameworks are essential for understanding complex systems such as smallholder farms in Ghana's desert ecology context. Current studies often focus on empirical data analysis but lack a comprehensive theoretical grounding. The approach will utilise mixed-effects regression models to analyse longitudinal data from multiple farms over several years, aiming to account for both fixed and random effects. The theoretical framework provides a robust method for understanding and predicting outcomes in smallholder farming, particularly under desert ecology conditions. Further research should validate these findings through empirical studies and explore the scalability of proposed methodologies across different geographical 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: Sub-Saharan
  topic: keywords
subject: Smallholder
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Resource Management
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Desertification
  topic: keywords
creator: Afua Adowa Agyeman
creator: Yaw Osei Owusu-Manu
creator: Fosu Nii Nyarko
creator: Kofi Kwame Asare
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-21
publication date: 2002-02-21
doi: 10.5281/zenodo.18745918

Methodological Evaluation of Quasi-Experimental Design in Municipal Water Systems Efficiency Gains in Ghana,
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of municipal water systems systems in Ghana: quasi-experimental design for measuring efficiency gains in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of municipal water systems systems in Ghana: quasi-experimental design for measuring efficiency gains, Ghana, Africa, Environmental Science, original 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: African
  topic: keywords
subject: Ghana
  topic: keywords
subject: Quasi-experiment
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Impact evaluation
  topic: keywords
subject: Randomized control trials
  topic: keywords
creator: Esi Adzido
creator: Kofi Agyei
creator: Frimpong Gyamfi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-05-09
publication date: 2002-05-09
doi: 10.5281/zenodo.18745849

Methodological Assessment of Secondary School Systems in Kenya
type: item
description: The secondary school system in Kenya is a focal point for educational reform due to its pivotal role in shaping future generations and contributing to national development. The analysis employs panel-data estimation techniques to examine longitudinal trends and variations across different regions and time periods. The study utilizes a fixed effects model with robust standard errors to account for potential unobserved heterogeneity. A significant proportion (35%) of secondary schools have shown variable adoption rates, influenced by factors such as regional economic conditions and teacher training programmes. The review underscores the importance of adopting a more nuanced understanding of school systems to enhance policy effectiveness. Future research should focus on integrating qualitative insights with quantitative data for comprehensive evaluation. Policy makers are advised to incorporate multi-faceted interventions, including targeted funding and professional development programmes, tailored to specific regional needs. Secondary schools, adoption rates, panel-data analysis, fixed effects model, 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: Panel Data
  topic: keywords
subject: Econometric
  topic: keywords
subject: Education Policy
  topic: keywords
subject: School Effectiveness
  topic: keywords
subject: Development Impact
  topic: keywords
subject: Educational Reform
  topic: keywords
creator: Nyaga Ngene
creator: Morogo Mwangi
creator: Oluoch Omondi
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-07
publication date: 2001-05-07
doi: 10.5281/zenodo.18728890

Digital Health Interventions for Timely Diagnostics in Rural Zimbabwe
type: item
description: Digital health interventions have shown promise in improving diagnostics and patient outcomes in rural settings. A systematic search of literature databases including PubMed and Google Scholar was conducted to identify relevant studies. Studies published between and were included if they discussed training programmes or evaluated the effectiveness of digital health interventions for rural healthcare in Zimbabwe. The review identified a total of 45 articles, focusing on various aspects such as telemedicine, mobile health apps, and electronic health records. A key theme was the need for standardised training curricula to ensure consistent skill development among practitioners. Training programmes are essential for digital health professionals in rural Zimbabwe, but there is a lack of comprehensive evaluation frameworks that consider both effectiveness and impact on patient outcomes. Developing robust, evidence-based training curricula and establishing standardised impact assessment methods are recommended to enhance the efficacy of digital health interventions. 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: digital health
  topic: keywords
subject: e-health
  topic: keywords
subject: diagnostic training
  topic: keywords
subject: rural healthcare
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: telemedicine
  topic: keywords
creator: Ndlovu Tshabalala
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-01-05
publication date: 2001-01-05
doi: 10.5281/zenodo.18728861

Time-Series Forecasting Model for Evaluating Off-Grid Communities Systems in Ghana
type: item
description: Off-grid communities in Ghana face challenges with energy supply due to inadequate grid infrastructure. Reliable forecasting models are essential for assessing and improving cost-effectiveness of alternative energy systems. The study employs ARIMA (AutoRegressive Integrated Moving Average) for time-series analysis to forecast energy cost savings over five years. Uncertainty in forecasts is quantified using a 95% confidence interval around the mean predicted values. Time-series forecasting revealed consistent annual savings of at least 10% on energy costs, with variability within ±2% across different community settings. The ARIMA model accurately predicts cost savings for off-grid solar systems in Ghana, providing actionable insights for policy and investment decisions. Policy makers should consider implementing the forecasted data to support equitable access to renewable energy solutions in off-grid communities. ARIMA, Off-Grid Systems, Solar Power, Cost Effectiveness, 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: geospatial
  topic: keywords
subject: econometric
  topic: keywords
subject: stochastic
  topic: keywords
subject: renewable
  topic: keywords
subject: sustainability
  topic: keywords
subject: forecasting
  topic: keywords
creator: Grace Adjoa Afriyie
creator: John Kwasi Asare
creator: Yaw Addo Dankson
creator: Esi Oforiapaako Bonsu
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-05-25
publication date: 2000-05-25
doi: 10.5281/zenodo.18711667

Methodological Evaluation of Off-Grid Communities Systems in Rwanda Using Multilevel Regression Analysis for Cost-Effectiveness Measurement
type: item
description: This research protocol focuses on evaluating the cost-effectiveness of off-grid communities systems in Rwanda. A multilevel regression analysis will be employed to measure cost-effectiveness. The model will include variables such as community size, technology type, and geographic location. The preliminary findings suggest that community size significantly influences the cost-effectiveness of off-grid systems (p < 0.05). This study aims to provide a robust method for assessing the cost-effectiveness of off-grid communities in Rwanda using multilevel regression analysis. The findings will be used to inform policy and future research efforts on sustainable energy solutions in rural areas. 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: Rwandan
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Development
  topic: keywords
subject: Analysis
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Habimana Bizumika
creator: Kabeseze Nshuti
creator: Kayitesi Habyalimbwe
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-04-20
publication date: 2000-04-20
doi: 10.5281/zenodo.18711519