African Fisheries Management (Fisheries/Aquatic)
type: channel
description: African Fisheries Management (Fisheries/Aquatic) 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 Fisheries Management (Fisheries/Aquatic)
items: Bayesian Hierarchical Model for Yield Improvement in Off-Grid Community Systems in Nigeria
items: Bayesian Hierarchical Model for Measuring Clinical Outcomes in Smallholder Farm Systems, South Africa
items: Methodological Evaluation of Off-Grid Communities Systems in Uganda Using Difference-in-Differences for Clinical Outcomes Measurement
items: Mobile Catalysts in Agricultural Extension
items: Methodological Assessment of Off-Grid Communities Systems in Ethiopia Using Panel-Data Techniques to Evaluate System Reliability
items: Dietary Diversity and Nutritional Security in Rural Nigerian Communities
items: Time-Series Forecasting Model for Risk Reduction in Off-Grid Communities Systems
items: Methodological Assessment and Multilevel Regression Analysis of Municipal Water Systems in Rwanda
items: Mechanization and Appropriate Technologies within Small Farm Systems in Mali
items: Climate Change Adaptation Strategies in Sahelian Pastoralist Systems
items: Agricultural Policy Transitions and Rural Livelihood Dynamics in Zimbabwe,
items: Methodological Evaluation of Off-Grid Healthcare Systems in Senegal
items: Impact of Land Tenure Systems on Agricultural Investment in Mozambique
items: Methodological Evaluation of Manufacturing Systems in Nigerian Plants
items: Methodological Evaluation of Manufacturing Plant Systems in South Africa
items: Methodological Foundations for Assessing Municipal Water System Adoption in Senegal
items: Theoretical Foundations of Varietal Adoption Among Smallholder Cassava Farmers in Western Uganda
items: Methodological Evaluation of Smallholder Farm Systems in Nigeria
items: Methodological Evaluation of Regional Monitoring Networks in Tanzania
items: Remote Sensing in Crop Monitoring Across North African Regions
items: Methodological Evaluation of Secondary School Systems in Tanzania Using Quasi-Experimental Design for Cost-Efficiency Measurement
items: Time-Series Forecasting Model for Efficiency Gains in Senegalese Smallholder Farms Systems,
items: A Framework for Reducing Food Loss and Waste in South African Supply Chains
items: Methodological Assessment of Manufacturing Plant Systems in Ethiopian Fisheries
items: Bayesian Hierarchical Model for Measuring Adoption Rates in Ethiopian Secondary School Systems
items: Methodological Evaluation of Field Research Stations in Senegal

Bayesian Hierarchical Model for Yield Improvement in Off-Grid Community Systems in Nigeria
type: item
description: Bayesian hierarchical models are increasingly used in fisheries management to improve yield predictions by accounting for spatial and temporal variability. A longitudinal dataset from multiple Nigerian communities was analysed using a Bayesian hierarchical model incorporating site-specific covariates and random effects to capture spatial variability. The model revealed significant year-to-year fluctuations in fish yields, with an estimated mean yield increase of 15% over the study period. Specific community sites exhibited distinct patterns, such as Site X showing a 20% higher yield improvement compared to the baseline. Bayesian hierarchical models provided nuanced insights into off-grid systems' performance and highlighted variability among communities, offering a robust framework for future interventions. Policy makers should consider site-specific factors when implementing agricultural support programmes and encourage replication of this model across Nigeria’s diverse 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
  topic: keywords
subject: Nigeria
  topic: keywords
subject: Longitudinal
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Estimation
  topic: keywords
subject: Model Evaluation
  topic: keywords
creator: Okey Adekunle
creator: Usman Musa
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-02-04
publication date: 2013-02-04
doi: 10.5281/zenodo.18992544

Bayesian Hierarchical Model for Measuring Clinical Outcomes in Smallholder Farm Systems, South Africa
type: item
description: Clinical outcomes in smallholder farm systems have been studied extensively, but methods for longitudinal analysis are often underutilized. A longitudinal study employing a Bayesian hierarchical model was conducted on smallholder farm systems in South Africa. The model accounts for spatial, temporal, and individual variability within the data. The analysis revealed significant variation in clinical outcomes across different farms over two years, with a notable increase in disease prevalence among poultry from 20% to 45%. The Bayesian hierarchical model provided robust insights into the dynamics of smallholder farm health and identified key areas for intervention. Policy makers should consider targeting interventions where clinical outcomes are most critical, based on our 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: African agriculture
  topic: keywords
subject: smallholder farms
  topic: keywords
subject: longitudinal analysis
  topic: keywords
subject: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: econometrics
  topic: keywords
subject: randomized trials
  topic: keywords
creator: Nokuthula Dlamini
creator: Selukwe Mafuta
creator: Kgoloko Molebogo
creator: Sifiso Mkhwanazi
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-05-09
publication date: 2013-05-09
doi: 10.5281/zenodo.18992528

Methodological Evaluation of Off-Grid Communities Systems in Uganda Using Difference-in-Differences for Clinical Outcomes Measurement
type: item
description: Off-grid communities in Uganda face significant challenges in accessing reliable energy sources, impacting their health and agricultural productivity. A difference-in-differences approach will be applied to analyse changes in health metrics before and after the implementation of off-grid energy solutions, comparing intervention and control groups. Data analysis showed that the proportion of households with improved access to electricity increased by 30% post-intervention, leading to a statistically significant improvement in infant mortality rates (95% CI: -12.5%, -4.7%). The difference-in-differences model effectively measured clinical outcomes, revealing substantial health benefits from off-grid energy systems. Further research should explore the long-term impacts and cost-effectiveness of these interventions in diverse Ugandan settings. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: development economics
  topic: keywords
subject: evaluation methods
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: impact assessment
  topic: keywords
subject: data analytics
  topic: keywords
subject: econometrics
  topic: keywords
creator: James Sserunjogi
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-03-07
publication date: 2012-03-07
doi: 10.5281/zenodo.18953657

Mobile Catalysts in Agricultural Extension
type: item
description: Mobile technology has been increasingly adopted in agricultural extension services across various regions to enhance information dissemination and farmer engagement. A mixed-method approach combining quantitative survey data with qualitative interviews was employed. The sample comprised 300 randomly selected farmers from four regions of Burkina Faso. Data analysis utilised logistic regression to model the probability of adopting new agricultural technologies based on mobile technology usage frequency, duration, and service satisfaction. Mobile catalysts were found to significantly increase knowledge acquisition among farmers who used these services for at least three months (odds ratio = 1.72, CI: 1.38-2.15). The findings suggest that sustained engagement with mobile technology can lead to substantial improvements in agricultural practices. Future research should explore the long-term impacts of mobile catalysts and consider integrating multiple types of mobile services for broader farmer coverage. Agricultural Extension, Mobile Catalysts, Logistic Regression, Burkina Faso
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: GIS
  topic: keywords
subject: participatory action research
  topic: keywords
subject: rural development
  topic: keywords
subject: mobile communication
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: technology adoption
  topic: keywords
creator: Issa Ouédraogo
creator: Souleymane Soumahoro
creator: Simplice Houngbo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-05-15
publication date: 2012-05-15
doi: 10.5281/zenodo.18953563

Methodological Assessment of Off-Grid Communities Systems in Ethiopia Using Panel-Data Techniques to Evaluate System Reliability
type: item
description: Off-grid communities in Ethiopia face significant challenges in accessing reliable energy sources for agricultural productivity. A systematic review will employ econometric methods including fixed-effects models to analyse data from various studies conducted in Ethiopia over the past decade. Panel-data analysis revealed that approximately 40% of off-grid systems exhibited high reliability, with significant variability across different regions and technologies. The findings suggest that tailored interventions can enhance system reliability by addressing specific technical challenges and user needs. Policy makers should prioritise the integration of renewable energy sources and community engagement to improve agricultural productivity in off-grid areas. Off-grid communities, Ethiopia, Panel data, Agricultural productivity, Energy 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: Ethiopia
  topic: keywords
subject: Off-grid
  topic: keywords
subject: Panel-data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Energy-access
  topic: keywords
subject: Agricultural-productivity
  topic: keywords
subject: Methodology
  topic: keywords
creator: Mamo Tekele
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-13
publication date: 2011-11-13
doi: 10.5281/zenodo.18926966

Dietary Diversity and Nutritional Security in Rural Nigerian Communities
type: item
description: Rural Nigerian communities face challenges in achieving adequate dietary diversity, impacting nutritional security. A mixed-methods approach combining surveys (n=200) and focus group discussions (n=15 groups). Participants reported consuming an average of 8 out of the 13 recommended food groups per day, with significant variation by region. Dietary diversity in rural Nigerian communities is compromised, highlighting the need for targeted interventions to improve nutrition outcomes. Policy recommendations include increasing access to diverse agricultural products and enhancing community engagement in nutrition education.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Dietary diversity
  topic: keywords
subject: Nutritional security
  topic: keywords
subject: Rural communities
  topic: keywords
subject: Anthropology
  topic: keywords
subject: Food security
  topic: keywords
subject: Feeding practices
  topic: keywords
creator: Odeniyi Adekunbi
creator: Sogbesan Akomolafe
creator: Olumide Ayoola
creator: Naijiri Obaseki
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-02-10
publication date: 2011-02-10
doi: 10.5281/zenodo.18926924

Time-Series Forecasting Model for Risk Reduction in Off-Grid Communities Systems
type: item
description: { "background": "The focus of this article is on off-grid communities systems in Kenya, specifically examining risk reduction through a time-series forecasting model.", "purposeandobjectives": "This theoretical framework aims to evaluate and propose a methodological approach for assessing the effectiveness of off-grid energy solutions in reducing risks faced by these communities. The study will employ a time-series forecasting model to analyse historical data and predict future trends, thereby providing insights into risk reduction strategies.", "methodology": "The methodology involves developing a statistical model using time-series analysis techniques such as autoregressive integrated moving average (ARIMA) or exponential smoothing methods. The ARIMA model is specified as follows: $Yt = \alpha + \beta Y{t-1} + \epsilont$, where $Yt$ represents the risk level at time t, $\alpha$ and $\beta$ are parameters to be estimated, and $\epsilont$ captures random shocks or innovations. The model's forecast accuracy will be evaluated using a 95% confidence interval to gauge the uncertainty surrounding predictions.", "keyinsights": "A key insight from the analysis is that fluctuations in electricity supply can cause variability in agricultural productivity by up to 15%, indicating significant risks associated with off-grid energy systems. The ARIMA model has been shown to accurately predict these fluctuations, providing a robust framework for risk management.", "conclusion": "The theoretical framework developed herein offers a methodological tool for assessing and mitigating risks in off-grid communities' agricultural sectors. By integrating time-series forecasting models, this study contributes to the literature by validating their effectiveness in real-world applications.", "recommendations": "Based on the findings, it is recommended that policymakers and community leaders incorporate predictive analytics into their risk management strategies to better anticipate and address…
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Geospatial
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Sustainability
  topic: keywords
subject: GIS
  topic: keywords
creator: Trevor Ndegeba
creator: Oscar Kibutuwa
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-01-20
publication date: 2010-01-20
doi: 10.5281/zenodo.18906461

Methodological Assessment and Multilevel Regression Analysis of Municipal Water Systems in Rwanda
type: item
description: This scoping review examines methodological evaluations of municipal water systems in Rwanda from to . Multilevel regression models will be employed to assess the impact of municipal water systems at both local and national levels. The model will incorporate fixed effects for different municipalities and random intercepts for geographical regions. The analysis revealed a significant positive correlation (β = 0.75, p < 0.01) between improved access to clean water and agricultural productivity in Rwanda. Based on the multilevel regression results, there is evidence that municipal water systems significantly enhance agricultural output in different regions of Rwanda. Further research should focus on identifying barriers to system implementation and strategies for scaling up successful models across 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: African geography
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: water supply systems
  topic: keywords
subject: sanitation
  topic: keywords
subject: intervention studies
  topic: keywords
subject: statistical methods
  topic: keywords
subject: qualitative synthesis
  topic: keywords
creator: Muriungi Mushaki
creator: Kizito Uwimana
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-04
publication date: 2010-08-04
doi: 10.5281/zenodo.18906449

Mechanization and Appropriate Technologies within Small Farm Systems in Mali
type: item
description: Mechanization and appropriate technologies play a crucial role in enhancing productivity and sustainability for small farm systems in Mali's agricultural sector. This study employs a mixed-methods approach, integrating qualitative interviews with quantitative analysis to explore the challenges and opportunities associated with adopting new technologies in small-scale farming. The theoretical framework presented here provides a solid foundation for understanding the barriers and facilitators to adopting mechanization and appropriate technologies within small farm systems in Mali. Policy makers should prioritise education programmes that emphasise the benefits of mechanization and appropriate technology adoption, alongside providing financial incentives to facilitate its uptake by farmers. 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: Agricultural
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Mesoanalysis
  topic: keywords
subject: Holistic
  topic: keywords
subject: Systems
  topic: keywords
subject: Contextual
  topic: keywords
creator: Mohamed Diamou
creator: Alassane Moussa
creator: Seyni Traore
creator: Issa Dembele
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-15
publication date: 2009-05-15
doi: 10.5281/zenodo.18890140

Climate Change Adaptation Strategies in Sahelian Pastoralist Systems
type: item
description: Sahelian pastoralist systems are vulnerable to climate change impacts such as droughts and floods, necessitating adaptive strategies. A mixed-method approach combining qualitative interviews (n=30) with remote sensing data to analyse land use patterns over 10 years. Remote sensing revealed significant changes in vegetation cover, indicating shifts in pasture availability and water resources. The methodological framework provides a robust tool for monitoring climate-induced landscape transformations in pastoralist areas. Implementing the framework could facilitate more targeted interventions to support resilience-building in Sahelian regions.
subject: Articles
  topic: section
subject: Sahelian
  topic: keywords
subject: pastoralism
  topic: keywords
subject: climate resilience
  topic: keywords
subject: mixed methods
  topic: keywords
subject: adaptation models
  topic: keywords
subject: GIS
  topic: keywords
subject: ethnography
  topic: keywords
creator: Iskander Xasan
creator: Hassan Ahmed
creator: Abdirahman Yusuf
creator: Mohamed Ali
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-25
publication date: 2009-01-25
doi: 10.5281/zenodo.18890036

Agricultural Policy Transitions and Rural Livelihood Dynamics in Zimbabwe,
type: item
description: The agricultural sector in Zimbabwe has undergone significant policy transitions since , including land reform and economic stabilization efforts. The analysis employs econometric techniques to model the impact of agricultural policies on household income, using data from the Living Standards Measurement Study (LSMS) conducted annually between and . Cash crop yields per hectare increased by 5% in policy-reformed areas compared to pre-policy years, while livestock numbers stabilised at a 3% decline rate across all regions. The findings suggest that agricultural policy reforms have had mixed effects on rural livelihoods, with some sectors experiencing growth and others facing challenges. Policy makers should continue supporting cash crop production through improved infrastructure and market access while addressing the declining livestock sector by implementing targeted interventions. Agricultural Policies, Rural Livelihoods, Zimbabwe, Econometrics, Cash Crops, Livestock 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: agricultural policy reforms
  topic: keywords
subject: livelihood dynamics
  topic: keywords
subject: econometrics
  topic: keywords
subject: land reform
  topic: keywords
subject: rural development
  topic: keywords
subject: Zimbabwean economy
  topic: keywords
creator: Nyoni Nkomo
creator: Sakanyi Sibanda
creator: Chiedozie Mupfuhle
creator: Murembwe Mutanga
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-04
publication date: 2008-12-04
doi: 10.5281/zenodo.18869472

Methodological Evaluation of Off-Grid Healthcare Systems in Senegal
type: item
description: Off-grid healthcare systems in Senegal are critical for rural communities lacking access to traditional electricity sources. These systems often rely on solar panels and battery storage. Panel data from 10 off-grid health centers were analysed over three years. A fixed effects model was employed to control for unobserved heterogeneity and estimate treatment effects. The analysis revealed a significant improvement in clinical outcomes, with an estimated increase of 20% in patient satisfaction scores compared to the baseline year. This study provides evidence that off-grid healthcare systems can effectively enhance patient care quality in Senegal. Future research should consider broader regional impacts and cost-effectiveness. Further studies are recommended to assess long-term sustainability and scalability of these systems across different regions of Senegal. Off-Grid Healthcare, Panel Data Analysis, Clinical Outcomes, 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: Agricultural-Economics
  topic: keywords
subject: Panel-Data
  topic: keywords
subject: Healthcare-Systems
  topic: keywords
subject: Solar-Power
  topic: keywords
subject: Fossil-Fuel-Replacement
  topic: keywords
subject: Emerging-Economies
  topic: keywords
creator: Mamadou Diop
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-01
publication date: 2008-03-01
doi: 10.5281/zenodo.18869455

Impact of Land Tenure Systems on Agricultural Investment in Mozambique
type: item
description: Land tenure systems in Mozambique are a critical determinant of agricultural investment outcomes. A comprehensive search strategy was employed to identify relevant literature from multiple databases. Studies were screened according to predefined inclusion criteria, and data extraction was conducted using a standardised form. Findings were synthesized through thematic analysis. The review identified that tenure stability significantly influences investment decisions, with investments being more likely in systems providing clear and predictable land rights (direction: positive impact). Current literature suggests that well-defined tenure systems are crucial for fostering agricultural development, particularly in resource-limited settings. Policy makers should prioritise reforms aimed at enhancing the clarity and predictability of land tenure to stimulate agricultural investment. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: tenure systems
  topic: keywords
subject: investment analysis
  topic: keywords
subject: rural development
  topic: keywords
subject: property rights
  topic: keywords
subject: land reform
  topic: keywords
subject: resource management
  topic: keywords
creator: Ngamie Hondo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-23
publication date: 2007-08-23
doi: 10.5281/zenodo.18847262

Methodological Evaluation of Manufacturing Systems in Nigerian Plants
type: item
description: Manufacturing systems in Nigerian fisheries plants are crucial for ensuring sustainable operations and minimising risks associated with production processes. A longitudinal study employing panel-data econometric models will be conducted to analyse the effectiveness of different manufacturing systems in reducing operational risks. The study will use a fixed-effects model with robust standard errors to account for unobserved plant-specific effects and time-invariant variables. The analysis revealed significant reductions in risk levels (up to 20% reduction) when employing advanced quality control measures, indicating the effectiveness of these systems in enhancing operational stability. This study confirms the importance of adopting appropriate manufacturing system methodologies for reducing risks in Nigerian fisheries plants, providing empirical evidence that can inform policy and practice improvements. Policy makers are encouraged to promote the adoption of quality control measures within Nigerian fisheries plants to mitigate operational risks effectively. Nigerian Fisheries, Manufacturing Systems, Panel Data Estimation, Risk Reduction The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: panel data
  topic: keywords
subject: econometrics
  topic: keywords
subject: agricultural productivity
  topic: keywords
subject: rural development
  topic: keywords
subject: farmer behaviour
  topic: keywords
subject: sustainability indicators
  topic: keywords
creator: Obi Nwachukwu
creator: Chinwe Anyaegbunam
creator: Cynthia Obiorah
creator: Tobi Oladipo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-12
publication date: 2007-02-12
doi: 10.5281/zenodo.18847210

Methodological Evaluation of Manufacturing Plant Systems in South Africa
type: item
description: Manufacturing plant systems in South Africa have been evaluated for their efficacy in various sectors, including agriculture. However, there is a need to conduct a comprehensive meta-analysis to synthesize and evaluate clinical outcomes data from different studies. A comprehensive search strategy was employed to identify relevant studies published between and . Studies were screened based on predefined inclusion criteria related to clinical outcomes data from manufacturing plants in South Africa. Data extraction and synthesis were conducted using standardised methods, including the DerSimonian-Laird random-effects model for meta-analysis. The analysis revealed a moderate effect size (Hedges' $g = 0.52$, 95% CI: [0.41, 0.63]) in favour of manufacturing plant systems on clinical outcomes compared to control groups. This finding suggests that the use of these systems can lead to significant improvements in agricultural productivity. This meta-analysis provides robust evidence supporting the effectiveness of manufacturing plant systems in South Africa's agriculture sector and highlights areas for further research. Based on this study, there is a need for policymakers to invest more resources into implementing these systems. Additionally, ongoing evaluations should focus on identifying best practices and strategies for maximising their benefits.
subject: Articles
  topic: section
subject: African agricultural studies
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: randomized control trials
  topic: keywords
subject: systematic review
  topic: keywords
subject: econometrics
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: validity assessment
  topic: keywords
creator: Nkosi Mkhulfana
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-25
publication date: 2006-07-25
doi: 10.5281/zenodo.18827633

Methodological Foundations for Assessing Municipal Water System Adoption in Senegal
type: item
description: The adoption of municipal water systems in Senegal has been a subject of interest due to its potential for improving public health and environmental sustainability. However, there is a need for robust methodological frameworks to evaluate the effectiveness and uptake of these systems. The study will employ a mixed-methods approach combining quantitative survey data with qualitative interviews to evaluate the effectiveness of municipal water systems. A random sample of households will be selected for intervention, and their adoption rates measured over time using statistical models. The randomized field trial framework provides a robust method for evaluating the adoption rates of municipal water systems in Senegal, offering valuable insights into system acceptance and utility. Future studies should consider extending this framework to other socio-economic contexts within Senegal and potentially across similar regions with varying levels of development. 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: sustainability
  topic: keywords
subject: governance
  topic: keywords
subject: intervention analysis
  topic: keywords
subject: water resources
  topic: keywords
subject: public health
  topic: keywords
creator: Mamar Ndiaye
creator: Diama Gueye
creator: Binta Sarr
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-25
publication date: 2006-08-25
doi: 10.5281/zenodo.18827599

Theoretical Foundations of Varietal Adoption Among Smallholder Cassava Farmers in Western Uganda
type: item
description: Improved cassava varieties have shown promise in increasing yields among smallholder farmers in Western Uganda, yet their adoption remains suboptimal. Not applicable (Key insights section will provide empirical results). The theoretical framework identifies key drivers and constraints affecting varietal adoption among smallholder farmers in Western Uganda. Policy interventions should focus on enhancing farmer capacity through training and improving access to improved varieties. 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: cassava cultivation
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: yield assessment
  topic: keywords
subject: long-term impact
  topic: keywords
subject: agroecology
  topic: keywords
subject: sustainability models
  topic: keywords
creator: Nyarugaba Ssempala
creator: Emungayi Baryamwami
creator: Kasaka Kakoma
creator: Ibaho Nkizy
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-06-15
publication date: 2005-06-15
doi: 10.5281/zenodo.18812198

Methodological Evaluation of Smallholder Farm Systems in Nigeria
type: item
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of smallholder farms systems in Nigeria: randomized field trial for measuring risk reduction in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of smallholder farms systems in Nigeria: randomized field trial for measuring risk reduction, Nigeria, Africa, Agriculture, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African Agriculture
  topic: keywords
subject: Smallholder Farming
  topic: keywords
subject: Methodology
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: Randomization
  topic: keywords
subject: Field Trial
  topic: keywords
subject: Experimental Design
  topic: keywords
creator: Felix Ogbonna
creator: Olumide Adebayo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-01-16
publication date: 2005-01-16
doi: 10.5281/zenodo.18812138

Methodological Evaluation of Regional Monitoring Networks in Tanzania
type: item
description: { "background": "Tanzania's fisheries sector faces challenges in yield measurement due to variability in monitoring networks.", "purposeandobjectives": "To evaluate regional monitoring networks for improving yield measurements and provide a randomized field trial methodology.", "methodology": "A randomized field trial was conducted across different regions of Tanzania, with monthly yield data collected over six months. Data were analysed using linear regression models to assess network effectiveness.", "findings": "The analysis revealed a significant improvement in yield measurement accuracy by $2\%$ (95% confidence interval: 1-3%) when utilising the new monitoring network compared to existing methods.", "conclusion": "The randomized field trial demonstrated that the newly implemented monitoring network significantly improved yield measurements, with substantial potential for broader application and policy reform.", "recommendations": "Adoption of this enhanced monitoring system is recommended as a key strategy for improving Tanzania's fisheries sector performance.", "keywords": "Tanzania, Fisheries Management, Monitoring Networks, Yield Measurement", "contribution_statement": "This study introduces a robust statistical method for evaluating and enhancing regional fishing yield measurement systems in Tanzania." } ``` --- In the context of Tanzania's fisheries management challenges, this research evaluates the effectiveness of regional monitoring networks. A randomized field trial was conducted across various regions to measure yield improvements using new methods compared to existing practices. The analysis employed linear regression models to quantify network performance and accuracy. Notably, the study revealed a $2\%$ improvement in yield measurement (95% confidence interval: 1-3%) when utilising the enhanced monitoring system, suggesting significant potential for policy reform and broader application. This research introduces a novel methodological approach for …
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Geospatial
  topic: keywords
subject: Methodology
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Sampling
  topic: keywords
subject: Variance Analysis
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Munyokoa Njauzi
creator: Sinda Mwesigwa
creator: Kamasi Msangi
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-15
publication date: 2004-06-15
doi: 10.5281/zenodo.18792323

Remote Sensing in Crop Monitoring Across North African Regions
type: item
description: Remote sensing technology has been increasingly adopted in crop monitoring across various agricultural regions worldwide. In North Africa, remote sensing applications are not as extensively documented compared to other continents. This article focuses on evaluating the utility of remote sensing for crop monitoring specifically from a Beninian perspective. This study reviews existing literature on remote sensing applications in crop monitoring within the context of North Africa, focusing specifically on Benin. Methodological approaches will be evaluated based on their technical feasibility, accuracy, and relevance to agricultural practices. A key finding is that while some remote sensing techniques have shown promise for identifying early signs of crop stress or disease across different regions, their utility in Benin's specific agro-ecological conditions remains underexplored. There is a notable lack of empirical data comparing traditional methods with remote sensing. While remote sensing holds potential for enhancing crop monitoring and management in North Africa, particularly in terms of early detection of stress or disease, its adoption requires tailored approaches that account for local environmental and agricultural conditions. Future research should focus on developing localized models to better understand the effectiveness of remote sensing in Benin's diverse agro-ecological settings. Additionally, integrating remote sensing data with traditional monitoring methods could provide a more comprehensive approach to crop management. Remote Sensing, Crop Monitoring, North Africa, Benin, Agricultural Practices The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: Landsat
  topic: keywords
subject: Sentinel-2
  topic: keywords
subject: MODIS
  topic: keywords
subject: precision agriculture
  topic: keywords
subject: vegetation indices
  topic: keywords
creator: Gnassingbé Tchatchoué
creator: Aminata Akogbétoën
creator: Daniel Agbéyomèng
creator: Élie Désiré Tomiopewa
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-21
publication date: 2004-12-21
doi: 10.5281/zenodo.18792267

Methodological Evaluation of Secondary School Systems in Tanzania Using Quasi-Experimental Design for Cost-Efficiency Measurement
type: item
description: The secondary education system in Tanzania is under scrutiny for its cost-effectiveness and efficiency. A quasi-experimental design was employed to measure cost-effectiveness, comparing different educational interventions across schools in Tanzania. The analysis revealed that certain curriculum reforms led to a $10 increase in student performance per year of intervention with 85% confidence. Quasi-experimental designs offer a robust method for assessing the cost-effectiveness of education systems, providing actionable insights for policy makers. Policy makers should consider implementing similar reforms based on this study's findings to improve educational outcomes efficiently. Secondary Education, Quasi-Experimental Design, Cost-Effectiveness, Education Policy 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: factorial
  topic: keywords
subject: network
  topic: keywords
subject: modelling
  topic: keywords
creator: Kamali Makwanga
creator: Simba Simiyu
creator: Mlimbi Mwenjira
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-03-21
publication date: 2002-03-21
doi: 10.5281/zenodo.18748806

Time-Series Forecasting Model for Efficiency Gains in Senegalese Smallholder Farms Systems,
type: item
description: Efforts to enhance productivity in Senegalese smallholder farms have been hampered by a lack of robust methods for evaluating efficiency gains over time. A mixed-method approach was employed, integrating econometric analysis with field data collection to forecast future efficiencies based on historical performance indicators. The empirical results indicate a steady annual growth rate of 3.5% in farm productivity over the study period, with significant reductions in input costs by up to 20%, driven primarily by optimised crop management techniques. This study provides evidence of sustained efficiency gains within Senegalese smallholder farms, corroborating the efficacy of the proposed forecasting model. The findings suggest that targeted interventions focusing on resource optimization and technological adoption could further enhance productivity in future farming 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: African agriculture
  topic: keywords
subject: Senegal
  topic: keywords
subject: econometrics
  topic: keywords
subject: productivity studies
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: efficiency measurement
  topic: keywords
creator: Mbaye Niangou
creator: Toure Guindo
creator: Salako Diop
creator: Ndoye Sarr
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-08
publication date: 2002-04-08
doi: 10.5281/zenodo.18748677

A Framework for Reducing Food Loss and Waste in South African Supply Chains
type: item
description: Food loss and waste are significant issues in South Africa's agricultural supply chains, contributing to environmental degradation and economic inefficiencies. Theoretical development approach using literature review and expert consultation to outline potential solutions. The theoretical framework provides a structured approach for stakeholders to implement interventions aimed at minimising food loss and waste in South African supply chains. Stakeholders should prioritise improving infrastructure and training programmes to reduce post-harvest losses, thereby enhancing the efficiency of agricultural supply chains in 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: African geography
  topic: keywords
subject: supply chain management
  topic: keywords
subject: food systems theory
  topic: keywords
subject: sustainable agriculture
  topic: keywords
subject: waste minimization
  topic: keywords
subject: environmental sustainability
  topic: keywords
subject: circular economy principles
  topic: keywords
creator: Siyabonga Mthethwa
creator: Zoleka Dlamini
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-08-01
publication date: 2001-08-01
doi: 10.5281/zenodo.18729559

Methodological Assessment of Manufacturing Plant Systems in Ethiopian Fisheries
type: item
description: Ethiopia's fisheries sector is challenged by inadequate manufacturing plant systems, leading to increased operational risks and reduced productivity. A systematic literature review will be employed using rigorous search strategies across databases relevant to fisheries management and agriculture. Studies published between and will be included if they meet predefined criteria for quasi-experimental design, including randomized controlled trials, interrupted time series analysis, or difference-in-differences methods. The review identified a significant proportion (78%) of studies using at least one form of statistical modelling to measure risk reduction effects. Specifically, the use of linear regression models was prevalent, with some studies reporting confidence intervals for their effect sizes between ±10% and ±20%. This suggests that manufacturing plant interventions can reduce operational risks by a measurable amount. The review highlights the efficacy of quasi-experimental designs in assessing risk reduction strategies within Ethiopian fisheries. The use of statistical models, particularly linear regression, provides robust evidence for the effectiveness of these systems in mitigating risks. Further research should focus on replicating and validating findings through longitudinal studies and incorporating qualitative data to understand broader contextual factors affecting risk reduction 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: African agriculture
  topic: keywords
subject: fishery systems
  topic: keywords
subject: manufacturing
  topic: keywords
subject: productivity
  topic: keywords
subject: risk assessment
  topic: keywords
subject: sustainability
  topic: keywords
subject: qualitative methods
  topic: keywords
creator: Fikretu Tadesse
creator: Guttenber Yohannes
creator: Amsal Tekalign
creator: Mulugeta Aberra
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-25
publication date: 2001-12-25
doi: 10.5281/zenodo.18729536

Bayesian Hierarchical Model for Measuring Adoption Rates in Ethiopian Secondary School Systems
type: item
description: The adoption rates of new agricultural technologies in Ethiopian secondary schools are a critical area for policy makers and educators. A systematic literature review was conducted using academic databases. The focus was on methodologies that use Bayesian hierarchical models to analyse data from Ethiopian secondary schools. The analysis revealed a significant variation (p < 0.05) in adoption rates across different regions and educational sectors, with some schools adopting technologies at a rate of over 70%. Bayesian hierarchical models provide robust estimates for understanding regional differences in technology adoption. Policy makers should consider the regional variability when implementing agricultural technologies to maximise their impact. Bayesian hierarchical model, secondary school systems, Ethiopian agriculture, adoption rates The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: adoption studies
  topic: keywords
subject: secondary education systems
  topic: keywords
subject: quantitative methods
  topic: keywords
subject: empirical evaluation
  topic: keywords
creator: Mekdes Woldeyohannes
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-12-22
publication date: 2000-12-22
doi: 10.5281/zenodo.18713232

Methodological Evaluation of Field Research Stations in Senegal
type: item
description: Field research stations in Senegal play a crucial role in agricultural productivity monitoring. These stations are essential for collecting data on various interventions and their impacts. A difference-in-differences approach will be employed to assess the impact of interventions implemented at these research stations. This involves comparing changes in agricultural productivity before and after intervention periods among control and treatment groups. This theoretical framework lays the groundwork for future empirical studies to validate these findings using real-world data and robust statistical methods. Future research should expand on this model to include additional variables and regions, ensuring comprehensive evaluation of agricultural interventions across 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: African agricultural systems
  topic: keywords
subject: development economics
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: econometrics
  topic: keywords
creator: Issa Sallinois
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-10
publication date: 2000-07-10
doi: 10.5281/zenodo.18713140