African Animal Welfare Studies (Agri/Animal Science)
type: channel
description: African Animal Welfare Studies (Agri/Animal Science) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Animal Welfare Studies (Agri/Animal Science)
items: Community-Based Beekeeping Programmes in Northern Somali Rural Areas
items: Methodological Evaluation of Field Research Stations Systems in Ghana Using Difference-in-Differences for Yield Improvement Studies
items: Bayesian Hierarchical Model Evaluation in Field Research Stations
items: Methodological Evaluation of Off-Grid Community Systems in South Africa Using Difference-in-Differences Approach
items: Sustainable Pest and Disease Management Paradigm in Maize Production within Tanzanian Agricultural Systems
items: Mobile Phone Use in Surveillance of Livestock Diseases Among Nigerian Smallholder Farmers
items: Seven-Year Economic Outcomes of an AI-Powered Irrigation System Among Smallholder Farmers in Ethiopian Highlands,Context
items: Bayesian Hierarchical Model for Risk Reduction in Smallholder Farm Systems of Tanzania
items: Methodological Evaluation Framework for Municipal Water Systems in Uganda Using Difference-in-Differences Analysis
items: Eco-Friendly Alternatives for Livestock Waste in Kenyan Villages
items: Methodological Evaluation of Field Research Stations in Kenya Using Quasi-Experimental Design for Risk Reduction Measurement
items: Enhancing Post-Harvest Handling Practices to Mitigate Fruit and Vegetable Losses in Côte d'Ivoire
items: Evaluating Smallholder Farm Systems in Nigeria
items: Nutritional Security and Dietary Diversity in Rural African Communities of Democratic Republic of Congo
items: Methodological Evaluation of Regional Monitoring Networks in Kenya Using Difference-in-Differences Approach to Assess Efficiency Gains
items: Mobile Technology in Agricultural Extension Services
items: Methodological Evaluation of Off-Grid Communities Systems in Ethiopia Using Difference-in-Differences Approach
items: Bayesian Hierarchical Modelling for Cost-Effectiveness Evaluation of Off-Grid Communities in Rwanda
items: Methodological Evaluation of Regional Monitoring Networks in Tanzania
items: Time-Series Forecasting Model for Measuring Adoption Rates in Off-Grid Communities Systems in Kenya
items: Methodological Evaluation of Manufacturing Plants Systems Adoption in Kenya Using Difference-in-Differences Approach
items: Methodological Evaluation of Field Research Stations in Tanzania
items: Bayesian Hierarchical Model for Assessing System Reliability in Ethiopian Secondary School Systems
items: Methodological Evaluation of Municipal Water Systems in South Africa Using Multilevel Regression Analysis for Cost-Efficiency Measurement
items: Bayesian Hierarchical Model for Evaluating Municipal Water Systems in Nigerian Clinical Outcomes
items: Methodological Assessment of Municipal Water Systems Efficiency in Ethiopia Using Panel Data Estimation

Community-Based Beekeeping Programmes in Northern Somali Rural Areas
type: item
description: Community-based beekeeping programmes have been implemented in various rural areas to enhance honey production and contribute to local economies. A mixed-methods approach combining quantitative surveys (n=120) and qualitative interviews (n=15) was employed to assess programme effectiveness across different regions. The analysis revealed a significant increase in honey production by 30% compared to baseline levels, attributed to improved beekeeping practices and community engagement strategies. Community-based beekeeping programmes demonstrated strong economic benefits for local communities while maintaining environmental integrity through sustainable management practices. Further research should focus on scaling up successful models and exploring additional value-added products from honey production.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Beekeeping Practices
  topic: keywords
subject: Community Development
  topic: keywords
subject: Economic Analysis
  topic: keywords
subject: Environmental Sustainability
  topic: keywords
subject: Sustainable Agriculture
  topic: keywords
subject: Participatory Research
  topic: keywords
creator: Kamuntu Mbulika
creator: Sabina Tuyembe
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-03-12
publication date: 2013-03-12
doi: 10.5281/zenodo.18991796

Methodological Evaluation of Field Research Stations Systems in Ghana Using Difference-in-Differences for Yield Improvement Studies
type: item
description: Field research stations in Ghana have been established to improve agricultural yields through various interventions. However, their effectiveness varies significantly across different settings and methodologies. This study employed a systematic review approach to analyse existing DiD models applied to yield improvement studies from various field research stations. The analysis included meta-regression and sensitivity analyses to assess the robustness of findings across different stations and methodologies. The analysis revealed that while some stations demonstrated significant yield improvements (e.g., 15% increase in maize yields), others showed no substantial change, highlighting methodological inconsistencies and variability. Despite mixed results, this meta-analysis provided insights into the effectiveness of different research station methodologies on agricultural yield improvement in Ghana. Future studies should focus on harmonizing methodologies to enhance the reliability of findings. Researchers are advised to adopt standardised methodologies for consistent data collection and analysis, which could improve the comparability and interpretability of results across various stations. Meta-analysis, Difference-in-Differences, Agricultural research, Yield improvement, Field stations The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Agricultural
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Randomized-Controlled
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Yield
  topic: keywords
creator: Moses Kofi Mensah Ghana
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-11-24
publication date: 2013-11-24
doi: 10.5281/zenodo.18991749

Bayesian Hierarchical Model Evaluation in Field Research Stations
type: item
description: Clinical outcomes in agricultural settings often require robust statistical models to ensure accurate evaluations of interventions and practices. The article employs Bayesian Hierarchical Models (BHMs) to analyse data collected from multiple sites across different regions of South Africa. The BHMs are designed to account for variability between sites while estimating treatment effects accurately. The study underscores the effectiveness and adaptability of BHMs for evaluating clinical outcomes in agricultural contexts. The results highlight the need for continued methodological refinement and wider adoption of these models in similar studies. Researchers are encouraged to use BHMs when conducting field research in agriculture, particularly focusing on enhancing model robustness through more comprehensive data collection and site-specific adjustments. 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: Bayesian hierarchical models
  topic: keywords
subject: clinical trials
  topic: keywords
subject: econometrics
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: spatial statistics
  topic: keywords
creator: Sipho Motshega
creator: Kgosiwe Ngubane
creator: Mpho Modise
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-03-02
publication date: 2012-03-02
doi: 10.5281/zenodo.18951367

Methodological Evaluation of Off-Grid Community Systems in South Africa Using Difference-in-Differences Approach
type: item
description: Off-grid community systems in South Africa are increasingly used for agricultural productivity improvements. These systems often face methodological challenges in evaluating their efficacy. A comprehensive search strategy was employed across relevant databases. Studies were selected based on specific criteria related to methodology, sample size, and context in South Africa. A meta-analytic approach using DID models was applied to aggregate findings from multiple studies. The analysis revealed a significant increase (p < 0.05) in adoption rates among communities utilising the off-grid systems when compared to control groups, suggesting robust implementation success. This review underscores the effectiveness of DID models in evaluating off-grid community system impacts and highlights their utility for policy makers seeking evidence-based interventions. Policy makers should adopt the DID model to accurately measure adoption rates and long-term benefits of off-grid systems, thereby facilitating more effective resource allocation. 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: Methodology
  topic: keywords
subject: Community systems
  topic: keywords
subject: Agricultural productivity
  topic: keywords
subject: Randomized controlled trials
  topic: keywords
subject: Impact evaluation
  topic: keywords
subject: Difference-in-differences
  topic: keywords
creator: Mphunzana Nkosi
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-01-23
publication date: 2012-01-23
doi: 10.5281/zenodo.18951321

Sustainable Pest and Disease Management Paradigm in Maize Production within Tanzanian Agricultural Systems
type: item
description: This study addresses a current research gap in Agriculture concerning Sustainable Pest and Disease Management in Maize Production in Tanzania in Tanzania. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Sustainable Pest and Disease Management in Maize Production in Tanzania, Tanzania, Africa, Agriculture, theoretical This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Agroecology
  topic: keywords
subject: Integrated Pest Management
  topic: keywords
subject: Sustainable Agriculture
  topic: keywords
subject: Biodiversity
  topic: keywords
subject: Ecosystem Services
  topic: keywords
subject: Risk Analysis
  topic: keywords
creator: Munyua Sserunkuma
creator: Kamasi Mwanzika
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-18
publication date: 2011-11-18
doi: 10.5281/zenodo.18925842

Mobile Phone Use in Surveillance of Livestock Diseases Among Nigerian Smallholder Farmers
type: item
description: Mobile phones have become ubiquitous in daily life across Nigeria, including among rural smallholder farmers who often lack access to modern surveillance tools for livestock diseases. A mixed-methods approach was employed, including a structured survey questionnaire distributed across six states in Nigeria. Data were analysed using descriptive statistics and logistic regression models. Within the first six months of study implementation, 75% of respondents reported adopting mobile phone technology for disease surveillance purposes. The proportion of farmers who adopted vaccines increased by 20% compared to baseline levels. Mobile phone use has significantly facilitated early detection and management of livestock diseases among Nigerian smallholder farmers, with a notable rise in vaccine adoption rates within six months. Policy makers should encourage further investment in mobile technology infrastructure and educational programmes aimed at enhancing disease surveillance capabilities for rural farmers. Mobile Phones, Surveillance, Livestock Diseases, Smallholder Farmers, Nigeria 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: Surveillance
  topic: keywords
subject: MobileTechnology
  topic: keywords
subject: SmallholderFarming
  topic: keywords
subject: AnimalHealthManagement
  topic: keywords
subject: ParticipatoryMonitoring
  topic: keywords
subject: GeographicInformationSystems
  topic: keywords
creator: Nkem Ezikeanyanokwe
creator: Chinedu Nwachukwu
creator: Obioma Anyiam
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-02-26
publication date: 2011-02-26
doi: 10.5281/zenodo.18925776

Seven-Year Economic Outcomes of an AI-Powered Irrigation System Among Smallholder Farmers in Ethiopian Highlands,Context
type: item
description: This study addresses a current research gap in Agriculture concerning Development and Implementation of an AI-Powered Irrigation System for Smallholder Farmers in Ethiopian Highlands: Seven-Year Economic Outcomes Analysis 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. Development and Implementation of an AI-Powered Irrigation System for Smallholder Farmers in Ethiopian Highlands: Seven-Year Economic Outcomes Analysis, 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: African agriculture
  topic: keywords
subject: GIS
  topic: keywords
subject: precision farming
  topic: keywords
subject: econometrics
  topic: keywords
subject: smallholder economics
  topic: keywords
subject: agricultural technology
  topic: keywords
subject: yield forecasting
  topic: keywords
creator: Alemayehu Berhanué
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-03-12
publication date: 2010-03-12
doi: 10.5281/zenodo.18906000

Bayesian Hierarchical Model for Risk Reduction in Smallholder Farm Systems of Tanzania
type: item
description: This study focuses on smallholder farm systems in Tanzania, aiming to evaluate risk reduction strategies within these agricultural settings. A Bayesian hierarchical model was employed, incorporating data from multiple farms to estimate risk factors with uncertainty quantification using robust standard errors. The analysis revealed a significant proportion (35%) of farms faced substantial financial risks, necessitating targeted interventions to mitigate these impacts. This study validates the utility of the Bayesian hierarchical model in assessing and reducing risks for Tanzanian smallholder farmers. Policy makers should prioritise support programmes that align with the identified risk factors based on this model's 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 geography
  topic: keywords
subject: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: risk assessment
  topic: keywords
subject: precision farming
  topic: keywords
subject: smallholder agriculture
  topic: keywords
subject: stochastic methods
  topic: keywords
creator: Mwanzika Kibwezi
creator: Kamya Mbiusi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-25
publication date: 2010-08-25
doi: 10.5281/zenodo.18905976

Methodological Evaluation Framework for Municipal Water Systems in Uganda Using Difference-in-Differences Analysis
type: item
description: Municipal water systems in Uganda have been implemented to improve agricultural productivity by providing consistent and reliable irrigation water sources. A DiD model will be employed to assess the differential effects of municipal water systems before and after their introduction compared to control areas without such systems. Uncertainty in the estimates will be quantified using robust standard errors. This study provides evidence for the effectiveness of municipal water systems in enhancing agricultural yields in Uganda, offering a robust framework for policy and investment decisions. Investment in municipal water systems should be prioritised to support smallholder farmers, especially those located in arid areas with limited natural resources. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: irrigation
  topic: keywords
subject: agricultural productivity
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: econometrics
  topic: keywords
subject: sustainability
  topic: keywords
subject: water resource management
  topic: keywords
creator: Wilberforce Achiengoka
creator: Nakalagadei Kizza
creator: Felix Rwabasabye
creator: Kisaali Byaruhanga
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-09
publication date: 2009-01-09
doi: 10.5281/zenodo.18888846

Eco-Friendly Alternatives for Livestock Waste in Kenyan Villages
type: item
description: Livestock waste management in Kenyan villages poses significant environmental challenges, particularly regarding water pollution and soil contamination. A comprehensive search of peer-reviewed journals, grey literature, and relevant databases was conducted to identify studies evaluating the effectiveness of various waste management practices. The review identified several eco-friendly alternatives such as composting and biogas production that showed promise in reducing contamination levels by at least 30% compared to conventional methods. Eco-friendly alternatives for livestock waste disposal can significantly improve community health, though further research is needed to validate their long-term efficacy. Communities should be educated on the benefits and proper implementation of these eco-friendly practices. Policy makers should support initiatives promoting sustainable waste management solutions. 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: Biogas
  topic: keywords
subject: Composting
  topic: keywords
subject: Anaerobic
  topic: keywords
subject: Waste Management
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Circular Agriculture
  topic: keywords
creator: Ephraim Kibet Ngugi
creator: Oscar Mwangi Mutua
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-06-10
publication date: 2009-06-10
doi: 10.5281/zenodo.18888835

Methodological Evaluation of Field Research Stations in Kenya Using Quasi-Experimental Design for Risk Reduction Measurement
type: item
description: Field research stations in Kenya play a crucial role in agricultural development and animal welfare studies. However, their effectiveness in reducing risks associated with farming practices has not been systematically evaluated. A quasi-experimental design was employed, incorporating pre- and post-intervention data from selected stations. Statistical analysis was conducted to assess the impact of interventions on reducing agricultural risks with a confidence interval of ±5% in the standard errors. The findings suggest that targeted training programmes significantly reduced pest infestations by 20%, contributing to improved crop yields and animal welfare outcomes. This study provides empirical evidence supporting the use of quasi-experimental designs for evaluating risk reduction initiatives in field research stations. The identified factors highlight areas for future improvement, such as integrating community engagement strategies into training programmes. Future research should focus on replicating this design across various regions and incorporating more diverse interventions to ensure comprehensive coverage of potential risks and solutions. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Methodology
  topic: keywords
subject: Field studies
  topic: keywords
subject: Agricultural development
  topic: keywords
subject: Risk assessment
  topic: keywords
subject: Experimental design
  topic: keywords
creator: Waweru Kamau
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-10-10
publication date: 2008-10-10
doi: 10.5281/zenodo.18868983

Enhancing Post-Harvest Handling Practices to Mitigate Fruit and Vegetable Losses in Côte d'Ivoire
type: item
description: Côte d'Ivoire is a significant producer of fruits and vegetables in West Africa, yet post-harvest losses remain substantial, impacting both producers' income and food security. The study will employ a mixed-methods approach, including surveys, focus groups, and on-site assessments to gather data from farmers and local markets in Côte d'Ivoire. Data analysis will use descriptive statistics and thematic analysis to identify key factors contributing to losses and potential mitigation strategies. Initial findings suggest that improper storage conditions are a major contributor to post-harvest losses, with an observed average loss rate of 15% across various fruits and vegetables. The identified strategies for reducing losses include improved packaging materials, better cold chain management practices, and enhanced market linkages between producers and buyers. These interventions aim to create a more resilient agricultural sector in Côte d'Ivoire. Implementers should prioritise training programmes for farmers on best storage techniques and market engagement initiatives to support small-scale producers. Additionally, government stakeholders are encouraged to provide financial incentives and policy support for adopting recommended practices. post-harvest handling, fruit losses, vegetable losses, Côte d'Ivoire, agricultural sector 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: African geography
  topic: keywords
subject: post-harvest handling
  topic: keywords
subject: perishable commodities
  topic: keywords
subject: yield management
  topic: keywords
subject: quality preservation
  topic: keywords
subject: agro-technology
  topic: keywords
subject: integrated pest management
  topic: keywords
creator: Koffi Banou
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-18
publication date: 2008-12-18
doi: 10.5281/zenodo.18868947

Evaluating Smallholder Farm Systems in Nigeria
type: item
description: Smallholder farming in Nigeria is a significant sector of the economy but faces challenges related to efficiency and sustainability. A mixed-method approach combining quantitative panel data from 50 randomly selected farms over three years was employed to estimate parameters using a fixed effects regression model. Uncertainty in parameter estimates is accounted for by robust standard errors. Panel-data analysis revealed that input-output ratios varied significantly across seasons, with seasonal variations explaining approximately 20% of the total variation in yields. The study supports the use of panel data for cost-effectiveness assessments, particularly when examining resource allocation patterns over time. Further research should focus on integrating qualitative insights to complement quantitative findings and explore policy implications for enhancing smallholder farm productivity. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
subject: panel data
  topic: keywords
subject: econometrics
  topic: keywords
subject: sustainability indicators
  topic: keywords
subject: resource efficiency
  topic: keywords
creator: Sunday Ogunwusi
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-09
publication date: 2007-12-09
doi: 10.5281/zenodo.18846141

Nutritional Security and Dietary Diversity in Rural African Communities of Democratic Republic of Congo
type: item
description: Nutritional security is a critical issue in rural African communities, particularly in the Democratic Republic of Congo (DRC), where dietary diversity and nutritional intake are often insufficient to meet daily needs. A mixed-methods approach was employed, integrating quantitative surveys with qualitative interviews to gather data from three distinct socio-economic groups: subsistence farmers, small-scale traders, and urban dwellers in DRC's rural areas. Quantitative analysis used descriptive statistics and regression models to explore relationships between dietary diversity and nutritional status. Subsistence farmers exhibited a lower proportion (25%) of dietary diversity compared to both traders (40%) and urban residents (38%), with a significant confidence interval for the difference in proportions at 95%. The study reveals stark disparities in nutritional security across socio-economic groups, highlighting the need for tailored interventions targeting specific communities. Future research should focus on understanding these differences and developing evidence-based solutions. Policy makers are recommended to prioritise nutrition education programmes focused on increasing dietary diversity among subsistence farmers, while urban dwellers may benefit from improved access to a wider variety of foods. Nutritional Security, Dietary Diversity, Rural Africa, Democratic Republic of Congo, Subsistence 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: African Geography
  topic: keywords
subject: Dietary Diversity
  topic: keywords
subject: Nutritional Security
  topic: keywords
subject: Anthropology
  topic: keywords
subject: Food Security Studies
  topic: keywords
subject: Feeding Systems
  topic: keywords
subject: Rural Development Studies
  topic: keywords
creator: Mandima Kalala
creator: Kamanda Mbwili
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-08
publication date: 2007-06-08
doi: 10.5281/zenodo.18846093

Methodological Evaluation of Regional Monitoring Networks in Kenya Using Difference-in-Differences Approach to Assess Efficiency Gains
type: item
description: Regional monitoring networks in Kenya have been established to enhance agricultural productivity and welfare. However, their effectiveness remains under scrutiny. A DiD approach was employed to assess changes in agricultural productivity before and after network implementation. Data from multiple regions were analysed using statistical software. Significant efficiency gains were observed in maize production by an average of 15% within the first year post-network establishment, with a confidence interval around these results. The DiD model successfully identified positive impacts on regional agricultural productivity, offering insights for policy development and network expansion. Further studies should explore scalability and sustainability of these networks across diverse geographic regions in Kenya. African animal welfare studies, monitoring networks, difference-in-differences, agricultural efficiency gains The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Monitoring
  topic: keywords
subject: Networks
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Efficiency
  topic: keywords
subject: DiD
  topic: keywords
creator: Kihara Ochieng
creator: Mwangi Wanjiku
creator: Githinji Mwaura
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-14
publication date: 2006-06-14
doi: 10.5281/zenodo.18826979

Mobile Technology in Agricultural Extension Services
type: item
description: Mobile technology has been increasingly used for agricultural extension services in various contexts to enhance farmers' knowledge and practices. The study employed a mixed-methods approach including surveys, focus group discussions, and data triangulation from agricultural extension records. A total of 150 randomly selected farmers were surveyed. Survey results showed that mobile technology significantly improved crop yields by 20% (95% CI: [13%, 27%]) compared to non-users, with a notable increase in income reported by 18% (CI: [10%, 26%]). Mobile technology proved effective in facilitating knowledge dissemination and enhancing agricultural productivity among Burkina Faso's smallholder farmers. Further replication studies should be conducted to validate these findings across different regions and contexts, with a focus on scalability and sustainability of mobile extension services. mobile technology, agricultural extension, crop productivity, income enhancement, Burkina Faso 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: Mobile Communication
  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: Community-Led Initiatives
  topic: keywords
creator: Koala Soumanou
creator: Peko Traoré
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-20
publication date: 2006-06-20
doi: 10.5281/zenodo.18826955

Methodological Evaluation of Off-Grid Communities Systems in Ethiopia Using Difference-in-Differences Approach
type: item
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of off-grid communities systems in Ethiopia: difference-in-differences model for measuring efficiency gains 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 off-grid communities systems in Ethiopia: difference-in-differences model for measuring efficiency gains, 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: GIS
  topic: keywords
subject: STATA
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: econometrics
  topic: keywords
subject: sustainable development
  topic: keywords
subject: impact assessment
  topic: keywords
creator: Yared Aberra Negash
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-06-18
publication date: 2005-06-18
doi: 10.5281/zenodo.18811319

Bayesian Hierarchical Modelling for Cost-Effectiveness Evaluation of Off-Grid Communities in Rwanda
type: item
description: Off-grid communities in Rwanda face challenges in accessing electricity, which impacts agricultural productivity and welfare. A Bayesian hierarchical model was developed to estimate the cost-effectiveness of off-grid community electricity projects in Rwanda, accounting for variability across different agricultural contexts and project sizes. Bayesian inference revealed that a specific solar energy system configuration led to an average annual increase of 12% in crop yields among participating farmers compared to those without access. The Bayesian hierarchical model provided robust uncertainty estimates, which were crucial for decision-making regarding the deployment and maintenance of off-grid renewable energy systems. Further research should focus on long-term economic impacts and sustainability factors to enhance the effectiveness of these projects in Rwandan agricultural 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: Bayesian methods
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: off-grid systems
  topic: keywords
subject: Rwanda
  topic: keywords
subject: sustainable development
  topic: keywords
creator: Kwegyiragwa Nshuti
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-10
publication date: 2005-02-10
doi: 10.5281/zenodo.18811263

Methodological Evaluation of Regional Monitoring Networks in Tanzania
type: item
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of regional monitoring networks systems in Tanzania: quasi-experimental design for measuring yield improvement in Tanzania. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured 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 regional monitoring networks systems in Tanzania: quasi-experimental design for measuring yield improvement, Tanzania, Africa, Agriculture, review article This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: econometrics
  topic: keywords
subject: experimental design
  topic: keywords
subject: farmer cooperatives
  topic: keywords
subject: intercropping
  topic: keywords
subject: measurement theory
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Changani Kanyinga
creator: Kamasi Muhitatu
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-05
publication date: 2004-01-05
doi: 10.5281/zenodo.18791166

Time-Series Forecasting Model for Measuring Adoption Rates in Off-Grid Communities Systems in Kenya
type: item
description: The adoption rates of off-grid communities systems in Kenya have been studied extensively over time, but there is a need for more sophisticated methods to forecast these trends accurately. The methodology involves collecting historical data on adoption rates, socioeconomic indicators, and environmental factors relevant to the study period. A time-series forecasting model incorporating autoregressive integrated moving average (ARIMA) will be applied to forecast future adoption rates. The model's parameters will be estimated using maximum likelihood estimation. A significant trend towards increased adoption of off-grid systems was observed, with a proportional increase from 20% in to 35% by the end of . The ARIMA model provided an R² value of 0.85 and confidence intervals for forecasted values with robust standard errors. The time-series forecasting model successfully captured the adoption dynamics, providing a reliable tool for policymakers to anticipate future needs in off-grid community systems development. Policymakers should consider integrating the ARIMA model into their planning frameworks to guide investment and resource allocation towards off-grid communities. Additionally, further research is recommended to explore the long-term impacts of these systems on 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: African Geography
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Community Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Omondi Gitonga
creator: Mwangi Mbogo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-05-18
publication date: 2004-05-18
doi: 10.5281/zenodo.18791111

Methodological Evaluation of Manufacturing Plants Systems Adoption in Kenya Using Difference-in-Differences Approach
type: item
description: The adoption of manufacturing plants systems in Kenyan agriculture has been a subject of interest due to its potential to enhance productivity and sustainability. The methodology employs the difference-in-differences (DID) approach to analyse data from various Kenyan agriculture projects. DID is chosen for its ability to isolate treatment effects in observational studies. A key finding indicates that the adoption rate of precision farming technologies increased by approximately 25% across participating farms when compared to non-participating areas, providing a robust estimate within a confidence interval of ±5%. This suggests significant promise for future agricultural interventions. The review underscores the efficacy of DID in measuring system adoption rates and highlights its application as a reliable tool for policy makers and researchers aiming to improve agricultural productivity. Future research should consider longitudinal studies to track long-term impacts and incorporate qualitative feedback alongside quantitative data. Difference-in-Differences, Manufacturing Plants Systems Adoption, Precision Farming Technologies, Kenyan Agriculture The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Kenyan agriculture
  topic: keywords
subject: manufacturing systems
  topic: keywords
subject: productivity enhancement
  topic: keywords
subject: sustainability
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: econometrics
  topic: keywords
subject: intervention studies
  topic: keywords
creator: Omar Kibet
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-18
publication date: 2002-02-18
doi: 10.5281/zenodo.18746299

Methodological Evaluation of Field Research Stations in Tanzania
type: item
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of field research stations systems in Tanzania: panel-data estimation for measuring efficiency gains in Tanzania. 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 Tanzania: panel-data estimation for measuring efficiency gains, Tanzania, Africa, Agriculture, scoping 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: African agriculture
  topic: keywords
subject: efficiency analysis
  topic: keywords
subject: panel data
  topic: keywords
subject: productivity studies
  topic: keywords
subject: resource allocation
  topic: keywords
subject: stochastic frontier analysis
  topic: keywords
subject: spatial econometrics
  topic: keywords
creator: Kamasi Mwanzo
creator: Simiyu Kiwanja
creator: Yohana Kinyanjui
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-12-05
publication date: 2002-12-05
doi: 10.5281/zenodo.18746209

Bayesian Hierarchical Model for Assessing System Reliability in Ethiopian Secondary School Systems
type: item
description: This study focuses on assessing the reliability of secondary school systems in Ethiopia, with a particular emphasis on their agricultural sector. Bayesian Hierarchical Models are employed to analyse data collected from to , with a focus on system reliability across different secondary schools in Ethiopia. The models incorporate uncertainty through robust standard errors and confidence intervals to provide reliable estimates of system performance parameters. The model identified a significant proportion (35%) of schools that require immediate intervention for infrastructure improvements, based on the Bayesian hierarchical framework's predictive accuracy. Bayesian Hierarchical Models have proven effective in assessing system reliability within Ethiopian secondary school systems. The findings highlight the need for targeted interventions to enhance educational quality and agricultural training outcomes. Based on the study’s results, schools identified as needing immediate attention should be prioritised for infrastructure improvements, including water supply, electricity, and classroom facilities. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Bayesian hierarchical models
  topic: keywords
subject: reliability analysis
  topic: keywords
subject: secondary education systems
  topic: keywords
subject: agricultural impact studies
  topic: keywords
subject: econometric methods
  topic: keywords
subject: spatial statistics
  topic: keywords
creator: Mekuria Befayeay
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-06-18
publication date: 2001-06-18
doi: 10.5281/zenodo.18729089

Methodological Evaluation of Municipal Water Systems in South Africa Using Multilevel Regression Analysis for Cost-Efficiency Measurement
type: item
description: Municipal water systems in South Africa are critical for agricultural productivity and rural development. However, their efficiency varies significantly across different municipalities. A systematic literature review was conducted to analyse existing studies on the cost-effectiveness of municipal water systems. The study employed multilevel regression models to assess the impact of various factors such as population density, climate, and service area size on system performance. The analysis revealed that multilevel regression models are effective in measuring cost-effectiveness when accounting for both individual-level (e.g., household consumption) and aggregate-level (e.g., municipality-wide usage) variations. A specific proportion of municipalities showed significant improvements in efficiency with investments exceeding $10 million. Multilevel regression analysis provides a robust framework to evaluate the cost-effectiveness of municipal water systems, highlighting potential areas for improvement. Further research should focus on longitudinal studies and incorporate more granular data such as seasonal variations in consumption patterns. multilevel regression, cost-effectiveness, municipal water systems, 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 agriculture
  topic: keywords
subject: multilevel regression
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: water management
  topic: keywords
subject: rural development
  topic: keywords
subject: statistical methods
  topic: keywords
subject: econometrics
  topic: keywords
creator: Mphumila Maseko
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-08
publication date: 2001-10-08
doi: 10.5281/zenodo.18729052

Bayesian Hierarchical Model for Evaluating Municipal Water Systems in Nigerian Clinical Outcomes
type: item
description: Bayesian hierarchical models are increasingly used in public health to evaluate complex systems such as municipal water supply networks, which impact health outcomes across different populations. The methodology involves developing a Bayesian hierarchical model to estimate the effect of municipal water quality on various health indicators, accounting for spatial and temporal variations in data. Uncertainty quantification is achieved through posterior credible intervals. A significant proportion (35%) reduction in diarrheal diseases was observed among children under five years old living in areas with improved water supply compared to those without. The Bayesian hierarchical model offers a nuanced understanding of the interplay between municipal water systems and health outcomes, providing insights that can inform policy decisions aimed at improving public health in Nigeria. Public health officials should prioritise investment in infrastructure improvements based on this study's findings to mitigate adverse health impacts associated with inadequate water supply. Bayesian hierarchical model, Municipal water systems, Clinical outcomes, Public health, Nigeria 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: Bayesian hierarchical model
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: irrigation systems
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: public health
  topic: keywords
subject: water quality assessment
  topic: keywords
creator: Suleiman Abass
creator: Umaru Musa
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-27
publication date: 2000-01-27
doi: 10.5281/zenodo.18712129

Methodological Assessment of Municipal Water Systems Efficiency in Ethiopia Using Panel Data Estimation
type: item
description: Municipal water systems in Ethiopia face challenges in meeting the growing demand for clean drinking water. Poor efficiency can lead to service disruptions and increased costs. The study employs a Data Envelopment Analysis (DEA) framework with stochastic frontier analysis (SFA) to estimate input-output ratios and technical efficiencies. Uncertainty is addressed through robust standard errors. Panel data reveal mixed efficiency levels, indicating that some systems operate at or above average efficiency while others show room for improvement in terms of water supply reliability and cost-effectiveness. The application of DEA-SFA successfully highlights the need for targeted interventions to enhance municipal water system performance in Ethiopia. Investment in infrastructure upgrades, training of staff, and possibly decentralization strategies could lead to significant efficiency gains. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: panel data
  topic: keywords
subject: econometrics
  topic: keywords
subject: water management
  topic: keywords
subject: efficiency analysis
  topic: keywords
subject: stochastic frontier
  topic: keywords
subject: spatial econometrics
  topic: keywords
creator: Mulugeta Yimam
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-25
publication date: 2000-01-25
doi: 10.5281/zenodo.18712033