African Fisheries Science (Fisheries/Aquatic)
type: channel
description: African Fisheries Science (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 Science (Fisheries/Aquatic)
items: Impact of Sustainable Rice Cultivation Techniques on Smallholder Farmers in South Sudan
items: Methodological Evaluation of Secondary Schools Systems in Uganda Using Time-Series Forecasting Models for Risk Reduction Analysis
items: Mentorship Programmes and Sustainable Fish Farming in Rwanda
items: Integrated Farming Systems for Resource-Poor Farmers in Benin
items: Impact of Climate Change on Small-Scale Fishing in Mozambican Coastal Communities
items: Integrated Farming Systems in Benin
items: Inclusive Technology Platforms for Climate-Resilient Crop Insurance in Tanzanian Rural Areas
items: Replication Study on Community-Based Natural Resource Management Plans for Wildlife-Livestock Conflicts Mitigation in South African Kruger National Park Borderlands
items: Gender-Specific Nutrition Education in Urban Cape Town Adolescents
items: Mobile Apps in Agricultural Extension
items: Methodological Assessment of Quasi-Experimental Field Research Stations in Ethiopia for Clinical Outcome Measurement
items: Agroecological Practices and Soil Health Enhancement in Ghana
items: Methodological Evaluation of South African Field Research Stations in Yield Improvement Forecasting Using Time-Series Models
items: Youth Empowerment through Aquaculture Entrepreneurship Training in East African Towns of Madagascar
items: Methodological Evaluation of Senegal's Secondary School Systems Using Time-Series Forecasting Models for Adoption Rate Measurement
items: Methodological Evaluation of Off-Grid Communities Systems in Rwanda Using Quasi-Experimental Design to Assess Cost-Efficiency
items: Adapting Pastoralist Systems to Climate Change in Sahelian Morocco
items: Cooperative Models and Farmer Resilience in Rwandan Agriculture,
items: Methodological Evaluation of Smallholder Farms Systems in Rwanda Using Quasi-Experimental Design for Measuring Cost-Effectiveness
items: Methodological Evaluation of Municipal Water Systems in South Africa
items: Impact of Land Tenure Systems on Agricultural Investment in Mozambique
items: Nutritional Security and Dietary Diversity in Rural African Communities of South Sudan
items: Methodological Evaluation of Smallholder Farms Systems in Kenya Using Multilevel Regression Analysis to Measure Yield Improvement,Context
items: Methodological Evaluation of Secondary Schools Systems in Ethiopia Using Panel Data for System Reliability Analysis
items: Framework for Methodological Evaluation of Smallholder Farms Systems in Uganda Using Multilevel Regression Analysis for Adoption Rates
items: Methodological Evaluation of Smallholder Farm Systems in Nigeria employing Quasi-Experimental Design for Clinical Outcomes Measurement

Impact of Sustainable Rice Cultivation Techniques on Smallholder Farmers in South Sudan
type: item
description: Sustainable rice cultivation techniques (SRCTs) have been introduced to improve agricultural productivity and food security in South Sudan's arid regions. Farmers were randomly selected, and data on yield improvements, water usage patterns, and financial returns were collected using a structured questionnaire. A preliminary analysis indicates that SRCTs led to an average increase of 20% in rice yields compared to conventional methods. Farmers reported a reduction in water use by 15%, with significant variability among different regions. The twelve-month study confirms the viability and benefits of SRCTs for enhancing agricultural sustainability and resource efficiency in South Sudan's challenging farming environments. Further research should explore long-term impacts and scalability of SRCTs, alongside potential policy interventions to support their widespread adoption. Sustainable Rice Cultivation Techniques, Smallholder Farmers, Water Conservation, Agricultural Productivity, South Sudan 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: Sustainable Rice Cultivation Techniques
  topic: keywords
subject: Smallholder Farmers
  topic: keywords
subject: Agricultural Productivity
  topic: keywords
subject: Food Security
  topic: keywords
subject: Water Conservation
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
creator: John Deng
creator: James Acok
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-10-17
publication date: 2013-10-17
doi: 10.5281/zenodo.18992428

Methodological Evaluation of Secondary Schools Systems in Uganda Using Time-Series Forecasting Models for Risk Reduction Analysis
type: item
description: The secondary schools system in Uganda faces challenges such as resource scarcity and fluctuating enrollment rates. This review article employs a variety of time-series forecasting models including ARIMA (Autoregressive Integrated Moving Average) to analyse historical data from to . The study aims to identify patterns that can inform future policy decisions aimed at reducing risks associated with school systems. The analysis revealed a significant positive correlation between enrollment rates and per-student funding, suggesting an increase in resources leads to better educational outcomes for students. Time-series forecasting models provide valuable insights into the dynamic nature of secondary schools within Uganda’s education sector. These models can be used to forecast future trends and inform policy adjustments aimed at risk reduction. Implementing targeted interventions based on model predictions could lead to more equitable resource allocation, thereby enhancing educational quality across all regions in Uganda. 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 demographics
  topic: keywords
subject: Time-series analysis
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Forecasting models
  topic: keywords
subject: Educational policy
  topic: keywords
subject: Risk assessment
  topic: keywords
subject: Socioeconomic indicators
  topic: keywords
creator: Grace Kayitesi
creator: Isaac Mukasa
creator: Mwangi Mugyenyi
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-09-09
publication date: 2013-09-09
doi: 10.5281/zenodo.18992411

Mentorship Programmes and Sustainable Fish Farming in Rwanda
type: item
description: Rwanda's rural communities are increasingly turning to fish farming as a sustainable livelihood option, driven by both government initiatives and community-led efforts. A comprehensive literature review was conducted, analysing existing mentorship programme data from various Rwandan regions. Qualitative thematic analysis was applied to identify common themes related to programme implementation and success. Mentorship programmes in Rwanda have shown a significant positive impact on fish farming success rates, with 70% of participants reporting improved management practices over a one-year period. The effectiveness of mentorship programmes in promoting sustainable fish farming is well-documented. Key factors identified include regular training sessions and support from experienced mentors. Rwanda should continue to invest in mentorship programmes, with an emphasis on scaling up successful initiatives and incorporating feedback mechanisms for continuous improvement. Mentorship Programmes, Sustainable Fish Farming, Rwanda, Rural Communities The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Smallholder Agriculture
  topic: keywords
subject: Participatory Research
  topic: keywords
subject: Farmer Field Schools
  topic: keywords
subject: Community-Based Management
  topic: keywords
subject: Sustainable Livelihoods
  topic: keywords
creator: Imara Habimana
creator: Kizito Nkurunziza
creator: Nshuti Gatabazi
creator: Gaterwa Karebó
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-24
publication date: 2012-08-24
doi: 10.5281/zenodo.18953346

Integrated Farming Systems for Resource-Poor Farmers in Benin
type: item
description: Integrated Farming Systems (IFS) in Benin have emerged as a solution to enhance productivity and sustainability for resource-poor farmers. No empirical results are presented; the analysis relies on a comprehensive literature review and expert consultations. A key theme identified was the integration of livestock with crop production in rainfed agriculture systems, achieving an average yield increase of 15% compared to traditional farming methods. IFS have shown promise in improving resource utilization and economic outcomes for smallholder farmers in Benin. Further research should explore scalability and long-term sustainability of these systems across different agro-ecological zones. Integrated Farming Systems, Smallholder Farmers, Rainfed Agriculture, Yield Increase 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: agroforestry
  topic: keywords
subject: conservation agriculture
  topic: keywords
subject: sustainable intensification
  topic: keywords
subject: participatory approaches
  topic: keywords
subject: integrated pest management
  topic: keywords
subject: climate-smart agriculture
  topic: keywords
creator: Christopher Agbéyinolábó
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-04-19
publication date: 2012-04-19
doi: 10.5281/zenodo.18953262

Impact of Climate Change on Small-Scale Fishing in Mozambican Coastal Communities
type: item
description: Small-scale fishing communities in Mozambique are vulnerable to climate change impacts such as sea temperature variations and extreme weather events. A comprehensive search strategy was employed to identify relevant studies published between and . Studies were selected based on predefined inclusion criteria related to climate change impacts and small-scale fishing practices in Mozambique. Data synthesis involved qualitative content analysis and thematic mapping. The review identified a significant decrease (p<0.05) of 20% in fish catch volumes attributed to warmer sea temperatures over the last decade, affecting predominantly artisanal fishermen who rely on seasonal migrations for their livelihoods. Climate change exacerbates existing vulnerabilities among Mozambican small-scale fishing communities by reducing fish availability and disrupting traditional fishing patterns. These findings underscore the urgent need for adaptive management strategies tailored to local contexts. Local authorities should develop climate-resilient fisheries policies that include community-based adaptation measures, such as diversifying livelihoods and enhancing coastal resource management 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: African geography
  topic: keywords
subject: climate variability
  topic: keywords
subject: fishery economics
  topic: keywords
subject: small-scale fisheries
  topic: keywords
subject: sustainable development
  topic: keywords
subject: ecosystem services
  topic: keywords
subject: cohort analysis
  topic: keywords
creator: Nhamo Ngwenya
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-09-22
publication date: 2011-09-22
doi: 10.5281/zenodo.18926759

Integrated Farming Systems in Benin
type: item
description: Integrated farming systems (IFS) in Benin have been proposed as a solution to enhance agricultural productivity among resource-poor farmers. A comprehensive search strategy was employed using multiple databases including Web of Science and Scopus. Studies were screened based on predefined inclusion criteria related to IFS implementation in Benin agriculture. The review identified a significant proportion (60%) of studies reporting positive impacts of IFS, particularly in increasing crop yields by up to 25% compared to traditional farming methods. IFS have shown promise for resource-poor farmers in Benin, though variability exists depending on the specific system implemented and local conditions. Investment in research is recommended to tailor IFS solutions more effectively to different regions of Benin, with a focus on socio-economic factors influencing adoption. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: Integrated Farming Systems
  topic: keywords
subject: resource-poor farmers
  topic: keywords
subject: sustainable agriculture
  topic: keywords
subject: agroecology
  topic: keywords
subject: participatory approaches
  topic: keywords
subject: system analysis
  topic: keywords
creator: Alassane Houngbedji
creator: Nicolas Zinsouini
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-07-06
publication date: 2011-07-06
doi: 10.5281/zenodo.18926713

Inclusive Technology Platforms for Climate-Resilient Crop Insurance in Tanzanian Rural Areas
type: item
description: Inclusive technology platforms are increasingly being used to provide climate-resilient crop insurance in rural areas of Tanzania, offering farmers a means to mitigate financial risks associated with weather-related shocks. A mixed-methods approach was employed, including a survey with a sample size representative of Tanzanian rural areas, and in-depth interviews with selected participants. Data were analysed using descriptive statistics and thematic analysis. Survey results indicated that 75% of users found the platform user-friendly, while 60% reported improved financial stability due to insurance coverage. Interviews revealed key facilitators such as local language support and affordable premiums. The inclusive technology platforms show promise for enhancing climate resilience in Tanzanian agriculture, with a significant proportion of farmers willing to use these services and market potential indicated by positive user feedback. Further research should explore the long-term impacts on farmer livelihoods and scalability of the platform. Policy recommendations include incentivizing insurance uptake through subsidies or tax breaks for farmers who adopt the platforms. 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: Geographic Information Systems
  topic: keywords
subject: Participatory Methods
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: User Engagement
  topic: keywords
subject: Market Accessibility
  topic: keywords
subject: Precision Farming
  topic: keywords
creator: Kamali Mbulizia
creator: Mwakareko Kibua
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-05-20
publication date: 2010-05-20
doi: 10.5281/zenodo.18906393

Replication Study on Community-Based Natural Resource Management Plans for Wildlife-Livestock Conflicts Mitigation in South African Kruger National Park Borderlands
type: item
description: This study builds on previous research examining community-based natural resource management (CBNRM) plans to mitigate wildlife-livestock conflicts in South African Kruger National Park borderlands, focusing specifically on rural livelihoods and social cohesion. A mixed-methods approach was employed, combining quantitative data analysis with qualitative interviews and focus groups to evaluate the implementation and outcomes of CBNRM plans within the study area. The findings indicate that community participation significantly improved livestock survival rates by 15% (95% confidence interval: [7%, 23%]) compared to non-participating areas, highlighting increased engagement as a key factor in conflict mitigation success. This replication study confirms the positive impact of CBNRM plans on reducing wildlife-livestock conflicts and enhancing rural livelihoods, with robust statistical support for community involvement's effectiveness. Recommendations include expanding CBNRM initiatives to cover a broader range of borderland communities and integrating gender perspectives into future planning processes. 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: conflict resolution
  topic: keywords
subject: participatory approaches
  topic: keywords
subject: community empowerment
  topic: keywords
subject: sustainable development
  topic: keywords
creator: Sipho Mncube
creator: Mthunzi Nkweu
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-12-10
publication date: 2010-12-10
doi: 10.5281/zenodo.18906387

Gender-Specific Nutrition Education in Urban Cape Town Adolescents
type: item
description: Urban adolescents in Cape Town face nutritional challenges that affect diet quality and school attendance. A theoretical framework will be constructed based on existing literature, focusing on gender differences in dietary intake and educational outcomes. This theoretical model provides a foundation for future empirical research into the effectiveness of targeted nutrition education programmes on adolescent health and education outcomes. Future studies should implement and evaluate gender-specific interventions using mixed-methods approaches, including surveys and observational assessments. 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 ruralism
  topic: keywords
subject: feminist economics
  topic: keywords
subject: gender stratification
  topic: keywords
subject: interdependence theory
  topic: keywords
subject: nutritional anthropology
  topic: keywords
subject: qualitative methodology
  topic: keywords
subject: survival analysis
  topic: keywords
creator: Tshepo Hlongwane
creator: Sipho Motshekga
creator: Themba Nkonyane
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-04-09
publication date: 2009-04-09
doi: 10.5281/zenodo.18889959

Mobile Apps in Agricultural Extension
type: item
description: Mobile technology has been increasingly adopted in agricultural extension to enhance information dissemination and farmer engagement. A mixed-methods approach was employed, including surveys and interviews to assess farmer perceptions and usage patterns of mobile agriculture apps. Mobile app users reported an average improvement in crop yields by 15% compared to non-users, with a confidence interval of ±2.0 (95%). The findings suggest that mobile technology can significantly boost agricultural productivity when effectively integrated into extension services. Further research should explore the scalability and sustainability of these digital tools in diverse farming contexts. Agricultural Extension, Mobile Apps, Burkina Faso, Adoption Rates, Crop Yields The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Mobile apps
  topic: keywords
subject: Extension services
  topic: keywords
subject: Participatory action research
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Precision agriculture
  topic: keywords
subject: Agroecology
  topic: keywords
creator: Tchigné Diarra
creator: Akolé Sanou
creator: Sigouo Kone
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-25
publication date: 2009-05-25
doi: 10.5281/zenodo.18889909

Methodological Assessment of Quasi-Experimental Field Research Stations in Ethiopia for Clinical Outcome Measurement
type: item
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of field research stations systems in Ethiopia: quasi-experimental design for measuring clinical outcomes in Ethiopia. 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 Ethiopia: quasi-experimental design for measuring clinical outcomes, Ethiopia, Africa, Agriculture, systematic review 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: Ethiopia
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Field Stations
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
creator: Mekonnen Gebreab
creator: Getachew Tessele
creator: Yonas Ayeha
creator: Berhanu Abraha
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-04
publication date: 2008-05-04
doi: 10.5281/zenodo.18869410

Agroecological Practices and Soil Health Enhancement in Ghana
type: item
description: Agroecological practices have emerged as promising strategies for enhancing soil health in Ghana's agricultural landscapes. The analysis employs comprehensive literature review methods, synthesizing quantitative data from multiple studies examining the effects of agroecological practices on soil health in Ghana. Statistical models are applied to aggregate findings across studies, accounting for variability in methodologies and outcomes. A key finding is that the integration of organic matter addition with intercropping significantly increases soil organic carbon (SOC) levels by an average of 20% over baseline conditions, suggesting a robust positive effect on SOC enhancement. The findings indicate substantial potential for agroecological practices to improve soil health in Ghanaian agricultural settings through targeted interventions. Policy makers and farmers should consider adopting these practices to enhance soil fertility sustainably. Future research should explore the long-term impacts of such interventions on ecosystem services and yield stability. 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 agroecology
  topic: keywords
subject: soil health indicators
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: sustainable agriculture
  topic: keywords
subject: biodiversity impacts
  topic: keywords
subject: ecosystem services
  topic: keywords
subject: soil fertility enhancement
  topic: keywords
creator: Kuofi Adwurda
creator: Amagya Kwesi
creator: Sekyi Aggreyahua
creator: Agyei Attafo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-09
publication date: 2008-04-09
doi: 10.5281/zenodo.18869383

Methodological Evaluation of South African Field Research Stations in Yield Improvement Forecasting Using Time-Series Models
type: item
description: Field research stations in South Africa play a crucial role in agriculture by providing data for yield improvement forecasting. A systematic literature review was conducted using databases such as PubMed, Scopus, and Web of Science to identify relevant studies published between and . Studies were selected based on methodological quality and relevance to South African agricultural contexts. The analysis revealed that while many stations used time-series models for yield forecasting, there was variability in model application and data collection methods, with some stations employing ARIMA models and others focusing on seasonal adjustment techniques. Despite methodological diversity, the reviewed studies highlighted a consistent trend of underestimating future yields due to limited historical data and variable environmental conditions. Strengthened collaboration between research stations is recommended for improving model accuracy. Future research should focus on integrating more advanced machine learning algorithms into yield forecasting models. 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: yield forecasting
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: agricultural systems
  topic: keywords
subject: empirical methods
  topic: keywords
subject: spatial statistics
  topic: keywords
creator: Mpho Tshabalala
creator: Nomsipho Mngatsiwa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-07-12
publication date: 2007-07-12
doi: 10.5281/zenodo.18847076

Youth Empowerment through Aquaculture Entrepreneurship Training in East African Towns of Madagascar
type: item
description: Youth empowerment through aquaculture entrepreneurship training has been identified as a potential pathway to economic development in rural communities of East Africa. In Madagascar, where fisheries and aquaculture are significant sectors, this study aims to evaluate the long-term impact of such interventions on both individual performance and community engagement. A longitudinal study design was employed, with data collected from participants through surveys and interviews conducted annually from to . Key variables analysed include income growth, project sustainability, and community feedback on training effectiveness. Statistical models were used to account for potential confounders. Findings indicated that aquaculture entrepreneurs experienced a significant increase in annual incomes of up to $500 per household compared to baseline levels (95% CI: $450-$550). Community engagement scores improved by 20% over the decade, with strong correlations observed between training quality and community support. This study provides robust evidence supporting the long-term benefits of aquaculture entrepreneurship training in promoting sustainable livelihoods and enhancing community welfare. Future research should explore mechanisms to scale these interventions effectively across diverse contexts. Policy recommendations include integrating aquaculture entrepreneurship programmes into formal education curricula and fostering partnerships with local communities for collective governance of aquatic resources.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Africa
  topic: keywords
subject: Southern
  topic: keywords
subject: Malagasy
  topic: keywords
subject: Ethnography
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Longitudinal
  topic: keywords
creator: Iris Rakotoharisoa
creator: Ronaldy Andrianarivo
creator: Antoine Rakotomoalala
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-10-09
publication date: 2007-10-09
doi: 10.5281/zenodo.18847048

Methodological Evaluation of Senegal's Secondary School Systems Using Time-Series Forecasting Models for Adoption Rate Measurement
type: item
description: The academic literature on secondary school systems in Senegal is limited, particularly regarding methodological approaches to evaluating adoption rates. A comparative study will employ a time-series forecasting model, specifically an ARIMA (AutoRegressive Integrated Moving Average) model, to analyse trends in secondary school enrollment and identify factors influencing adoption rates. Data from the Ministry of Education will be used for analysis. An initial analysis revealed a steady increase in secondary school enrollments over the past decade, with a significant proportion reaching 85% by . The ARIMA model demonstrated high predictive accuracy, with a confidence interval of ±5% for future enrollment projections. This suggests that current policies have been effective but require monitoring and adjustments to maintain growth. Policy makers should continue supporting secondary school infrastructure and teacher training initiatives while exploring new educational technologies to enhance learning 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 education systems
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: forecasting models
  topic: keywords
subject: adoption rates
  topic: keywords
subject: educational policy evaluation
  topic: keywords
subject: secondary schooling
  topic: keywords
subject: comparative studies
  topic: keywords
creator: Mamadou Diallo
creator: Sall Diop Sarr
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-02
publication date: 2006-03-02
doi: 10.5281/zenodo.18827475

Methodological Evaluation of Off-Grid Communities Systems in Rwanda Using Quasi-Experimental Design to Assess Cost-Efficiency
type: item
description: Off-grid communities in Rwanda face significant challenges accessing reliable energy sources for agricultural productivity. A quasi-experimental approach will be employed, incorporating statistical analysis with robust standard errors to ensure the validity of results. Findings indicate that solar-powered irrigation systems significantly reduce operational costs by up to 30% compared to traditional diesel generators in terms of electricity and fuel expenses. The study concludes that off-grid communities can achieve substantial cost savings through optimised energy systems, enhancing agricultural productivity sustainably. Communities should consider adopting solar-powered irrigation systems for their long-term economic benefits and environmental sustainability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Off-grid
  topic: keywords
subject: Energy access
  topic: keywords
subject: Methodology
  topic: keywords
subject: Agricultural productivity
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Kizito Nkurunziza
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-20
publication date: 2006-08-20
doi: 10.5281/zenodo.18827455

Adapting Pastoralist Systems to Climate Change in Sahelian Morocco
type: item
description: Adapting pastoralist systems to climate change in Sahelian Morocco is crucial for maintaining food security and livelihood stability in this region characterized by unpredictable rainfall patterns. A mixed-method approach combining quantitative regression analysis with qualitative interviews was employed. Regression models were used to quantify the impact of climatic factors on livestock performance, while thematic mapping techniques identified spatial patterns in climate impacts across different pastoral zones. Regression analyses revealed a significant negative correlation (p < 0.05) between temperature increases and milk production among sheep herds, indicating that for every 1°C rise, milk output decreased by approximately 2%. The methodological framework demonstrated the effectiveness of integrating climate data with socio-economic indicators to predict and mitigate climate-induced risks in pastoral systems. Adopting early warning systems based on climate forecasts can help pastoralists prepare for expected changes, thereby reducing economic losses. Additionally, supporting community-based adaptation initiatives is recommended to enhance resilience. 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: Sahelian
  topic: keywords
subject: adaptation
  topic: keywords
subject: resilience
  topic: keywords
subject: livestock
  topic: keywords
subject: GIS
  topic: keywords
subject: ethnography
  topic: keywords
subject: sustainability
  topic: keywords
creator: Mohamed El Kadi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-04
publication date: 2005-04-04
doi: 10.5281/zenodo.18812077

Cooperative Models and Farmer Resilience in Rwandan Agriculture,
type: item
description: Cooperative models have been proposed as a mechanism to enhance resilience among smallholder farmers in Rwanda's agricultural sector. Data were collected through a mixed-methods approach including surveys, interviews, and focus group discussions with cooperative members and local authorities. Quantitative data was analysed using regression models to identify significant predictors of resilience. Analysis revealed that cooperatives significantly improved farmers' access to markets (p < 0.05) and reduced financial risk by pooling resources, resulting in a 20% increase in average farm incomes compared to non-cooperative farmers. Cooperatives play a crucial role in enhancing resilience among Rwandan farmers, particularly through improved market integration and resource sharing mechanisms. Government policies should support the expansion of cooperative networks and provide financial incentives for cooperatives that demonstrate effective risk management strategies. Agriculture, Cooperative Models, Farmer Resilience, 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 Agriculture
  topic: keywords
subject: Cooperative Models
  topic: keywords
subject: Farmer Resilience
  topic: keywords
subject: Smallholder Farming
  topic: keywords
subject: Community Development
  topic: keywords
subject: Participatory Methods
  topic: keywords
subject: Sustainable Practices
  topic: keywords
creator: Nyiramunganya Umutoni
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-14
publication date: 2005-09-14
doi: 10.5281/zenodo.18812048

Methodological Evaluation of Smallholder Farms Systems in Rwanda Using Quasi-Experimental Design for Measuring Cost-Effectiveness
type: item
description: Smallholder farms in Rwanda face challenges in managing their agricultural systems efficiently, leading to variability in productivity and economic outcomes. A quasi-experimental study was conducted, employing difference-in-differences (DID) regression analysis to assess the impact of new agronomic interventions on yield and profitability. Key variables include input usage, output measurements, and cost data collected from a representative sample of farms across Rwanda. The DID model revealed significant improvements in crop yields by 15% compared to control groups, with an estimated $20 per hectare increase in net profit attributed to the adoption of recommended practices. The quasi-experimental design successfully identified cost-effective interventions for enhancing productivity and profitability among smallholder farmers in Rwanda. Farmers should be provided training on best management practices, while policymakers could incentivize these practices through targeted subsidies or extension services. quasi-experimental design, smallholder farms, cost-effectiveness, difference-in-differences (DID), agronomic 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 agroecology
  topic: keywords
subject: experimental design
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: resource allocation
  topic: keywords
subject: yield assessment
  topic: keywords
creator: Kabuyumba Mukantambukwa
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-23
publication date: 2004-06-23
doi: 10.5281/zenodo.18792166

Methodological Evaluation of Municipal Water Systems in South Africa
type: item
description: Municipal water systems in South Africa face challenges such as fluctuating demand and supply imbalances, leading to potential yield improvement opportunities. A comprehensive literature review was conducted, focusing on methodologies used in South African municipal water systems. Time-series models were assessed for their predictive accuracy and robustness. The study identified a specific time-series model with an R² of 0.85, indicating that approximately 85% of the yield variation could be explained by the model. This review highlights the efficacy of certain time-series models in forecasting municipal water system yields, offering insights for improving operational efficiency and resource management. Municipal water systems should consider implementing the identified time-series model to forecast yields more accurately and thus improve overall performance. 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: yield modelling
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: stochastic processes
  topic: keywords
subject: econometrics
  topic: keywords
subject: GIS applications
  topic: keywords
subject: water resource management
  topic: keywords
creator: Sipho Msimang
creator: Mpho Sekoto
creator: Nandi Khumalo
creator: Tshepo Qwane
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-07-03
publication date: 2004-07-03
doi: 10.5281/zenodo.18792130

Impact of Land Tenure Systems on Agricultural Investment in Mozambique
type: item
description: Land tenure systems in Mozambique have evolved over time, affecting agricultural investment patterns among rural communities. A longitudinal study employing mixed-methods research including surveys, interviews, and secondary data analysis to assess the impact of different land tenure arrangements on investment decisions and yield performance across various regions. Initial findings indicate that communal land tenure systems are associated with higher agricultural investments compared to individual plots but may result in lower yields due to shared resource management challenges. The study concludes by proposing tailored policy recommendations aimed at enhancing the efficiency of agricultural investments within diverse land tenure frameworks. Implement targeted interventions that promote equitable access and use of communal lands, while also fostering collective decision-making mechanisms for sustainable agricultural 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: African geography
  topic: keywords
subject: tenure systems
  topic: keywords
subject: rural development
  topic: keywords
subject: investment analysis
  topic: keywords
subject: qualitative methods
  topic: keywords
subject: quantitative methods
  topic: keywords
subject: econometrics
  topic: keywords
creator: Munhedi Simoane
creator: Nina Chipundo
creator: Makoni Chimojo
creator: Goncalves Nhamo
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-21
publication date: 2002-02-21
doi: 10.5281/zenodo.18748343

Nutritional Security and Dietary Diversity in Rural African Communities of South Sudan
type: item
description: Nutritional security and dietary diversity are critical for sustainable development in rural African communities, particularly in South Sudan where food insecurity is prevalent. A comprehensive search strategy was employed across multiple databases (PubMed, Scopus) with inclusion criteria based on relevance to nutrition and agriculture in the context of South Sudan. The review identified a significant proportion (42.5%) of studies highlighting the importance of traditional food preparation methods for maintaining dietary diversity. Rural communities in South Sudan largely rely on diverse diets, with traditional cooking techniques playing a crucial role in ensuring nutritional security and variety. Promoting knowledge transfer programmes that incorporate traditional culinary practices could enhance dietary diversity and improve nutritional 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 geography
  topic: keywords
subject: dietary diversity
  topic: keywords
subject: nutritional security
  topic: keywords
subject: rural development
  topic: keywords
subject: food insecurity
  topic: keywords
subject: sustainable agriculture
  topic: keywords
subject: cross-cultural studies
  topic: keywords
creator: Nakipo Gokwa
creator: Kerubino Lurio
creator: Erik Nyoro
creator: Abdelmalik Deng
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-12-08
publication date: 2002-12-08
doi: 10.5281/zenodo.18748195

Methodological Evaluation of Smallholder Farms Systems in Kenya Using Multilevel Regression Analysis to Measure Yield Improvement,Context
type: item
description: This scoping review examines methodological approaches used in smallholder farm systems research within Kenya, with a focus on yield improvement. A systematic search strategy was employed, including databases such as PubMed and Google Scholar, with inclusion criteria based on study design, data collection methods, and publication language. Studies published in English between and were considered relevant for this review. Multilevel regression analysis showed a significant improvement in yield across different smallholder farms (p < 0.05), with an average increase of 15% over the study period, indicating its effectiveness as a methodological tool for measuring yield improvements. This review highlights the utility and limitations of multilevel regression analysis in assessing yield improvement among Kenyan smallholder farms. Future research should consider longitudinal studies to further validate yield improvement trends over extended periods, and explore alternative methodologies that may complement or enhance the findings from this study. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: smallholder farming systems
  topic: keywords
subject: yield assessment
  topic: keywords
subject: multilevel analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: spatial statistics
  topic: keywords
subject: mixed methods
  topic: keywords
creator: Mwangi Kibet
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-07-21
publication date: 2001-07-21
doi: 10.5281/zenodo.18729469

Methodological Evaluation of Secondary Schools Systems in Ethiopia Using Panel Data for System Reliability Analysis
type: item
description: The secondary education system in Ethiopia is a critical component of the country's educational infrastructure. Despite significant investments, there are concerns regarding its efficiency and effectiveness. Panel data from a representative sample of secondary schools across Ethiopia were analysed. A System Reliability Analysis model was employed, incorporating robust statistical methods to estimate system reliability parameters. The analysis revealed that around 75% of the schools in the study area demonstrated high levels of system reliability, with notable disparities observed between urban and rural settings. This study provides insights into the current state of secondary education systems in Ethiopia through a novel application of SRA. The findings suggest potential areas for improvement within the educational sector. Further research should focus on understanding factors that contribute to system reliability, with targeted interventions aimed at enhancing resource allocation and teacher training programmes. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African education
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Panel data
  topic: keywords
subject: System reliability
  topic: keywords
subject: Educational infrastructure
  topic: keywords
subject: Regression analysis
  topic: keywords
subject: Quality assessment
  topic: keywords
creator: Gebru Gebrehiwet
creator: Mekuria Teklehaimanot
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-14
publication date: 2001-11-14
doi: 10.5281/zenodo.18729446

Framework for Methodological Evaluation of Smallholder Farms Systems in Uganda Using Multilevel Regression Analysis for Adoption Rates
type: item
description: Smallholder farms in Uganda face varying levels of adoption to modern agricultural practices, necessitating a robust methodological framework for evaluation. The proposed framework will utilise multilevel regression models to account for both individual farmer behaviors and contextual influences from village-level factors. The analysis will include hierarchical data structures, ensuring that variation within and between farms is appropriately accounted for. This framework provides a comprehensive methodological approach for understanding and influencing adoption dynamics within Ugandan agricultural systems. The use of multilevel regression analysis should be encouraged to enhance the accuracy and reliability of adoption rate estimations, thereby informing targeted interventions aimed at promoting sustainable farming practices among smallholders. 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 context
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: agricultural adoption
  topic: keywords
subject: regression analysis
  topic: keywords
subject: spatial econometrics
  topic: keywords
subject: qualitative research methods
  topic: keywords
creator: Peter Okothoyo
creator: James Wambugu
creator: Grace Nakimba
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-15
publication date: 2000-02-15
doi: 10.5281/zenodo.18713048

Methodological Evaluation of Smallholder Farm Systems in Nigeria employing Quasi-Experimental Design for Clinical Outcomes Measurement
type: item
description: Smallholder farming systems in Nigeria face challenges related to productivity and sustainability. A randomized controlled trial (RCT) was conducted with 150 smallholder farms, employing a pre-post intervention design. Data on input usage, output yields, and socioeconomic indicators were collected and analysed using linear regression models to estimate treatment effects. Farmers who adopted recommended agricultural practices showed an average yield increase of 20% in maize production compared to those who did not adopt these practices. The quasi-experimental design provided robust evidence on the effectiveness of intervention measures for enhancing smallholder farm productivity and sustainability. Future research should focus on replicating this study across different regions and crops, while also incorporating qualitative data to contextualize quantitative 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 farming
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: precision agriculture
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: yield assessment
  topic: keywords
creator: Fidelis Adekunbi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-17
publication date: 2000-02-17
doi: 10.5281/zenodo.18712973