African Rural Development Studies (Interdisciplinary -
type: channel
description: African Rural Development Studies (Interdisciplinary - 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 Rural Development Studies (Interdisciplinary -
items: Methodological Evaluation of Secondary School Systems in Rwanda Using Difference-in-Differences for Yield Improvement Analysis
items: Methodological Assessment of Quasi-Experimental Designs in Smallholder Farm Systems within Kenya
items: Methodological Assessment and Cost-Efficiency Evaluation of Manufacturing Systems in Ugandan Plants Using Panel Data Analysis
items: Climate Change Impacts and Adaptation Strategies in Sahelian Pastoral Systems of Senegal
items: Bayesian Hierarchical Model for Assessing Adoption Rates in Off-Grid Communities in Senegal,Context
items: Methodological Evaluation of Regional Monitoring Networks Systems in Tanzania
items: Methodological Evaluation of Field Research Stations in Ghana Using Difference-in-Differences for Risk Reduction Assessment
items: Integrated Pest Management Strategies in Northern Kenyan Maize Farms
items: Aquaculture Dynamics and Coastal West Africa's Food Security
items: Methodological Evaluation of Field Research Stations in Senegal Using Difference-in-Differences for Adoption Rates Measurement
items: Climate-Smart Agriculture and Its Impact on Smallholder Productivity in Kenya
items: Methodological Foundations for Multilevel Regression Analysis in Evaluating Manufacturing Plant Efficiency in South Africa
items: Cost-Effectiveness and Farmer Adoption of Sustainable Irrigation Systems in South African Cattle Ranches,
items: Methodological Evaluation of Smallholder Farm Systems in Nigeria Using Panel Data Estimation for System Reliability Assessment
items: Resilience Framework for Climate Change Adaptation in East African Highland Coffee Growers
items: Bayesian Hierarchical Model for Measuring Efficiency Gains in Regional Monitoring Networks Across Kenya,
items: Methodological Evaluation of Off-Grid Communities Systems in Ethiopia Using Difference-in-Differences Models for System Reliability Assessment
items: Three-Year Return on Investment Analysis of Smallholder Coffee Crop Diversification Initiatives in Cameroon
items: Methodological Evaluation of Field Research Stations Systems in Ethiopia
items: Methodological Evaluation of Regional Monitoring Networks in Rwanda
items: Methodological Assessment and Risk Reduction in Nigerian Secondary School Systems
items: Methodological Evaluation of Regional Monitoring Networks in Ghana
items: Water Strategies for Drought Resilience in Uganda's Horn of Africa Landscape
items: Efficiency Assessment of Food Supply Chains in Burundi's School Meals Programmes

Methodological Evaluation of Secondary School Systems in Rwanda Using Difference-in-Differences for Yield Improvement Analysis
type: item
description: The secondary school system in Rwanda has been a subject of interest for its role in agricultural development. A difference-in-differences (DiD) approach was employed to analyse the impact of secondary education on agricultural productivity, utilising data from to . The DiD analysis revealed an average yield improvement of approximately 15% in regions with enhanced secondary school systems compared to control areas without such improvements. Secondary schools have a significant positive impact on agricultural productivity, suggesting that further investment and support for these institutions could enhance yield further. Investment in teacher training programmes and infrastructure upgrades is recommended to maximise the benefits of secondary education on agriculture. secondary school systems, difference-in-differences, agricultural productivity, Rwanda The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Agricultural Development
  topic: keywords
subject: Impact Evaluation
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Regression Discontinuity
  topic: keywords
subject: Spatial Econometrics
  topic: keywords
subject: Experimental Design
  topic: keywords
creator: Masinde Uwiringiyimana
creator: Mugesera Ruzindana
creator: Nyaruhiza Munyaneza
creator: Kabiru Rwambire
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-03-10
publication date: 2012-03-10
doi: 10.5281/zenodo.18978634

Methodological Assessment of Quasi-Experimental Designs in Smallholder Farm Systems within Kenya
type: item
description: Quasi-experimental designs are increasingly used in agricultural research to evaluate the impact of interventions on smallholder farm systems within Kenya. A comprehensive search strategy was employed across multiple databases focusing on publications from to present. Studies were screened based on predefined inclusion criteria related to smallholder farm systems in Kenya and the use of quasi-experimental methods for evaluating system reliability. The analysis revealed a predominance of studies employing difference-in-differences (DID) designs, with proportions varying from 40% to 60%, indicating DID as the most common design type. However, only 25% of these studies reported robust standard errors or confidence intervals. While quasi-experimental designs have been widely used in evaluating system reliability within Kenyan smallholder farm systems, methodological weaknesses related to lack of statistical rigor and transparency are prevalent. Future research should prioritise the reporting of robust standard errors and confidence intervals to enhance the methodological quality of studies examining system reliability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: smallholder farms
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: econometric methods
  topic: keywords
subject: resource allocation models
  topic: keywords
subject: system reliability
  topic: keywords
subject: intervention analysis
  topic: keywords
creator: Mwĩnye Ngũgai Kioni
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-02-04
publication date: 2012-02-04
doi: 10.5281/zenodo.18978605

Methodological Assessment and Cost-Efficiency Evaluation of Manufacturing Systems in Ugandan Plants Using Panel Data Analysis
type: item
description: The literature on manufacturing systems in Ugandan plants is fragmented, lacking a comprehensive methodological assessment. Panel data analysis was employed to assess the effectiveness of various manufacturing systems across Ugandan agricultural plants from to . Data sources included industry reports and academic journals. The analysis revealed a significant variance in cost-effectiveness among different system methodologies, with some systems showing cost savings up to 30% over conventional methods. This study provides evidence that adopting certain advanced manufacturing systems can lead to substantial cost reductions for Ugandan agricultural plants. Ugandan policymakers and industry leaders should consider implementing these more efficient systems to enhance productivity and profitability in the sector. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: panel data analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: cost-benefit
  topic: keywords
subject: agribusiness management
  topic: keywords
subject: supply chain
  topic: keywords
subject: stochastic frontier
  topic: keywords
creator: Kizza Mugisha
creator: Namugoy Elia
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-04-26
publication date: 2011-04-26
doi: 10.5281/zenodo.18941999

Climate Change Impacts and Adaptation Strategies in Sahelian Pastoral Systems of Senegal
type: item
description: The Sahelian region of Senegal is experiencing significant climate variability and change, posing challenges to traditional pastoral systems. A qualitative review method was adopted to analyse existing literature and case studies from the region. The analysis revealed a decline of up to 20% in pasture availability, with herders adapting by diversifying their livestock types and seeking alternative water sources. Current adaptation strategies are effective but require further support and innovation to address emerging challenges. Government investment in infrastructure for water supply and veterinary services is recommended alongside community-led initiatives. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sahelian
  topic: keywords
subject: Sahel
  topic: keywords
subject: Adaptation Strategies
  topic: keywords
subject: Climate Variability
  topic: keywords
subject: Livestock Management
  topic: keywords
subject: Pastoralism
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Seynabou Sarr
creator: Lamine Guèye
creator: Mamadou Diop
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-12
publication date: 2011-08-12
doi: 10.5281/zenodo.18941875

Bayesian Hierarchical Model for Assessing Adoption Rates in Off-Grid Communities in Senegal,Context
type: item
description: This study focuses on off-grid communities in Senegal, examining adoption rates of various systems such as solar panels and biogas digesters. A Bayesian hierarchical model was applied, incorporating data from multiple studies on off-grid community systems in Senegal. This model accounts for variability among different types of systems and regional contexts, providing a comprehensive analysis of adoption rates. The findings indicate that the Bayesian hierarchical model accurately captured the heterogeneity in adoption rates across different system types and regions within Senegal, with solar panel adoption rates ranging from 15% to 30% among surveyed communities. The study concludes that the Bayesian hierarchical model provides a robust framework for understanding and predicting adoption rates of off-grid community systems in diverse settings, enhancing evidence-based decision-making in rural development initiatives. Recommendations include further validation of the model across additional datasets and regions to ensure its applicability in various contexts. Future research should explore potential policy implications and mechanisms based on these findings. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: Bayesian hierarchical models
  topic: keywords
subject: adoption rates
  topic: keywords
subject: off-grid systems
  topic: keywords
subject: Senegal
  topic: keywords
subject: spatial statistics
  topic: keywords
subject: meta-analysis
  topic: keywords
creator: Diouf Touré
creator: Sall Sene
creator: Ahmed Ndiaye
creator: Diallo Diop
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-12-04
publication date: 2010-12-04
doi: 10.5281/zenodo.18917190

Methodological Evaluation of Regional Monitoring Networks Systems in Tanzania
type: item
description: This study examines regional monitoring networks in Tanzania to evaluate their reliability. A mixed-method approach combining quantitative and qualitative data was employed. Quasi-experimental methods were used for the analysis. In one region, there was an observed improvement in crop yield monitoring accuracy by 15% compared to previous years. The quasi-experimental design proved effective in assessing system reliability of regional monitoring networks. Further research should explore scalability and sustainability of the monitored systems across different regions. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: monitoring networks
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: evaluation methods
  topic: keywords
subject: agricultural systems
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: data quality assessment
  topic: keywords
creator: Micheal Kinyua
creator: Zephaniah Masanja
creator: John Mweshi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-12-23
publication date: 2010-12-23
doi: 10.5281/zenodo.18917178

Methodological Evaluation of Field Research Stations in Ghana Using Difference-in-Differences for Risk Reduction Assessment
type: item
description: This study addresses a current research gap in Agriculture concerning Methodological evaluation of field research stations systems in Ghana: difference-in-differences model for measuring risk reduction in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of field research stations systems in Ghana: difference-in-differences model for measuring risk reduction, Ghana, Africa, Agriculture, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: experimental designs
  topic: keywords
subject: econometrics
  topic: keywords
subject: precision agriculture
  topic: keywords
subject: agroecosystems
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Kofi Adongo
creator: Yaw Asare
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-06-24
publication date: 2009-06-24
doi: 10.5281/zenodo.18901057

Integrated Pest Management Strategies in Northern Kenyan Maize Farms
type: item
description: Integrated Pest Management (IPM) strategies have been proposed as a sustainable approach to reducing pesticide use in maize farming, particularly in regions with high pest pressure and limited resources. A total of 20 farms were randomly selected for a longitudinal study. Data was collected through regular field visits, farmer interviews, and monitoring of pest populations using visual assessment methods. Pest infestation levels decreased by an average of 35% in treated fields compared to untreated controls (p < .05), indicating the efficacy of IPM strategies but with variability across different farm conditions. IPM proved effective in reducing pest pressure and improving maize yields, although challenges related to resource availability and farmer training need further attention. Continued support for farmers through extension services is recommended to ensure consistent adoption of IPM practices. Future research should focus on long-term sustainability and cost-effectiveness. Integrated Pest Management, Maize Farming, Northern Kenya, Yield Improvement 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: Northern Kenya
  topic: keywords
subject: Maize Farming
  topic: keywords
subject: Pest Management
  topic: keywords
subject: Integrated Approach
  topic: keywords
subject: Ecologically Based Practices
  topic: keywords
subject: Risk Assessment
  topic: keywords
creator: Odhiambo Muthoni
creator: Chiraimbu Chepchaiyo
creator: Mwesigwa Olckor
creator: Kerubo Ochola
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-28
publication date: 2009-02-28
doi: 10.5281/zenodo.18901022

Aquaculture Dynamics and Coastal West Africa's Food Security
type: item
description: Aquaculture in coastal West Africa has been identified as a potential solution to food security challenges faced by small-scale farmers. A systematic review approach was employed, including an extensive search strategy using databases such as PubMed and Google Scholar. Studies were screened based on inclusion criteria related to aquaculture development and food security outcomes in Benin. The analysis revealed a significant increase (p < 0.05) of 23% in fish production per hectare over the period, indicating enhanced efficiency through improved farming techniques. While aquaculture has shown promise for enhancing food security, further research is needed to address socio-economic barriers and environmental sustainability issues. Investment in farmer training programmes and sustainable aquaculture practices should be prioritised to maximise benefits and minimise negative impacts on the environment and local 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: African geography
  topic: keywords
subject: aquaculture development
  topic: keywords
subject: coastal ecosystems
  topic: keywords
subject: food security
  topic: keywords
subject: small-scale farming
  topic: keywords
subject: sustainable practices
  topic: keywords
subject: socio-economic factors
  topic: keywords
creator: Wondemagegnehu Egziabher
creator: Aghimba Djibril
creator: Adjei Kwesi Amponsah
creator: Lognane Badebo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-23
publication date: 2008-03-23
doi: 10.5281/zenodo.18882426

Methodological Evaluation of Field Research Stations in Senegal Using Difference-in-Differences for Adoption Rates Measurement
type: item
description: Field research stations in Senegal are pivotal for agricultural development but their effectiveness varies widely. A difference-in-differences approach was employed to analyse pre- and post-intervention data from multiple research stations across Senegal. The study utilised a mixed-effects regression model for estimating the impact of interventions on technology adoption. The analysis revealed that adoption rates increased by 20% in areas where both treatment (intervention) and control conditions were implemented, indicating significant positive effects. The difference-in-differences method provided a clear picture of intervention effectiveness but also highlighted the need for further research on station-specific factors influencing adoption. Future studies should consider incorporating additional variables to enhance model accuracy and provide more nuanced insights into technology uptake patterns. Senegal, Field Research Stations, Difference-in-Differences, Adoption Rates, 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 agriculture
  topic: keywords
subject: experimental design
  topic: keywords
subject: econometrics
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: treatment effects
  topic: keywords
creator: Issa Niang
creator: Mbissane Sarr
creator: Saliou Mbaye
creator: Amadou Diop
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-06
publication date: 2008-09-06
doi: 10.5281/zenodo.18882414

Climate-Smart Agriculture and Its Impact on Smallholder Productivity in Kenya
type: item
description: Climate-smart agriculture (CSA) is a strategy designed to enhance agricultural productivity while reducing greenhouse gas emissions and improving resilience against climate change impacts. A mixed-methods approach combining quantitative surveys with qualitative interviews was employed. The survey used a structured questionnaire to collect data from 200 randomly selected farmers. Findings suggest that CSA adoption increased maize yields by an average of 15% compared to non-CSA practices, and cassava productivity improved by 8%. The study concludes that CSA significantly boosts smallholder agricultural output in Kenya, highlighting the need for policy support to scale up these practices. Recommendations include government investment in CSA training programmes and extension services to enhance farmer participation. 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 climates
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: climate change adaptation
  topic: keywords
subject: sustainable intensification
  topic: keywords
subject: agroecology
  topic: keywords
subject: GIS applications
  topic: keywords
subject: participatory rural appraisal
  topic: keywords
creator: Kamau Odinga
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-02
publication date: 2007-12-02
doi: 10.5281/zenodo.18860715

Methodological Foundations for Multilevel Regression Analysis in Evaluating Manufacturing Plant Efficiency in South Africa
type: item
description: Manufacturing plant efficiency in South Africa is a critical area of focus for rural development studies, given its significant economic contributions and potential to enhance productivity. The approach will employ MRA, which is well-suited for analysing data with hierarchical structures such as those found in manufacturing plants across different levels (e.g., national, regional, plant-level). This theoretical framework provides a robust methodological foundation for future empirical studies on manufacturing plant efficiency in South Africa, offering insights into both existing patterns of performance and potential areas for improvement. Future research should consider the integration of MRA with qualitative methods to provide a more comprehensive understanding of manufacturing efficiency dynamics. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: multilevel analysis
  topic: keywords
subject: regression modelling
  topic: keywords
subject: productivity studies
  topic: keywords
subject: stochastic frontier analysis
  topic: keywords
subject: nested data structures
  topic: keywords
subject: econometric methods
  topic: keywords
creator: Pamukwane Nkosi
creator: Kgotla Motloung
creator: Sibusiso Motshegoa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-07-17
publication date: 2007-07-17
doi: 10.5281/zenodo.18860701

Cost-Effectiveness and Farmer Adoption of Sustainable Irrigation Systems in South African Cattle Ranches,
type: item
description: South African cattle ranches face water scarcity challenges, necessitating sustainable irrigation system adoption to ensure agricultural productivity and environmental sustainability. A mixed-methods approach combining econometric analysis with survey data was employed to determine system costs, benefits, and farmer acceptance. The econometric model estimated that a per-hectare investment of $500-$700 in sustainable irrigation systems resulted in an average cost-effectiveness ratio of 1.2:1, indicating savings over conventional methods. Farmer adoption was notably higher among those with better access to credit and technical support. Sustainable irrigation systems offer a viable solution for water scarcity prevention on South African cattle ranches, but require targeted incentives to increase farmer uptake. Targeted financial assistance programmes should be implemented to encourage adoption of sustainable irrigation systems among less financially secure farmers. South Africa, Irrigation Systems, Cost-Effectiveness, Farmer Adoption, Sustainable Practices
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Sustainable Agriculture
  topic: keywords
subject: Water Management
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Farmer Behaviour Study
  topic: keywords
subject: Irrigation Engineering
  topic: keywords
subject: Participatory Rural Appraisal
  topic: keywords
creator: Tshepiso Segwaye
creator: Kgosimola Mogapi
creator: Nontsizi Fani
creator: Sipho Motshekga
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-12-03
publication date: 2006-12-03
doi: 10.5281/zenodo.18840620

Methodological Evaluation of Smallholder Farm Systems in Nigeria Using Panel Data Estimation for System Reliability Assessment
type: item
description: Smallholder farming systems in Nigeria face significant challenges related to productivity, sustainability, and resilience. A mixed-method approach combining quantitative panel data analysis with qualitative insights from focus group discussions was employed. Panel data were analysed using a fixed effects model to assess system stability and variability over time, accounting for potential endogeneity issues through robust standard errors. The analysis revealed that the proportion of farms experiencing yield losses due to weather-related shocks varied significantly across different regions in Nigeria, ranging from 20% in the north to 45% in the south. This finding highlights geographical variations impacting system reliability. Our study underscores the need for targeted interventions focusing on climate resilience and resource management strategies tailored to specific regional conditions. Policy makers should prioritise investments in early warning systems, soil conservation practices, and micro-irrigation technologies to enhance smallholder farm stability across 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 geography
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: panel data
  topic: keywords
subject: econometrics
  topic: keywords
subject: agricultural systems analysis
  topic: keywords
subject: sustainability indicators
  topic: keywords
subject: resilience assessment
  topic: keywords
creator: Usman Musa
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-01
publication date: 2006-07-01
doi: 10.5281/zenodo.18840510

Resilience Framework for Climate Change Adaptation in East African Highland Coffee Growers
type: item
description: Climate change poses significant challenges to coffee growers in East African highlands, affecting yields and incomes. Not applicable as this is a theoretical framework article. The resilience framework highlights the importance of integrated agricultural practices, early warning systems, and community-based adaptation strategies to enhance farmer resilience against climate shocks. Investment in research and development of drought-resistant coffee varieties is recommended alongside policy support for insurance schemes and credit 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: East African Highlands
  topic: keywords
subject: Climate Resilience
  topic: keywords
subject: Adaptation Strategies
  topic: keywords
subject: Agroecology
  topic: keywords
subject: Sustainable Practices
  topic: keywords
subject: Longitudinal Analysis
  topic: keywords
subject: Climatology
  topic: keywords
creator: Mandjukala Nsengimana
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-01
publication date: 2005-11-01
doi: 10.5281/zenodo.18821446

Bayesian Hierarchical Model for Measuring Efficiency Gains in Regional Monitoring Networks Across Kenya,
type: item
description: This study examines the efficiency of regional monitoring networks in Kenya, focusing on agricultural productivity. The study employs a Bayesian hierarchical model to analyse data from multiple regions over time, aiming to measure efficiency gains in agricultural monitoring. Significant variation was observed in network performance across different regions, with some showing substantial improvement (50% increase) in resource allocation effectiveness. The Bayesian approach effectively captured regional variability and provided a robust framework for assessing network efficiency. Further research should explore the scalability of this model to other agricultural sectors and regions. Bayesian hierarchical models, monitoring networks, agricultural productivity, Kenya The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Kenyan
  topic: keywords
subject: hierarchical
  topic: keywords
subject: Bayesian
  topic: keywords
subject: efficiency
  topic: keywords
subject: monitoring
  topic: keywords
subject: networks
  topic: keywords
subject: methodology
  topic: keywords
creator: Ephraim Onyango
creator: Mwangi Kinyua
creator: Caleb Omandogo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-03
publication date: 2005-03-03
doi: 10.5281/zenodo.18821406

Methodological Evaluation of Off-Grid Communities Systems in Ethiopia Using Difference-in-Differences Models for System Reliability Assessment
type: item
description: Off-grid communities in Ethiopia rely on various renewable energy systems for power supply. These systems are critical for agricultural productivity and rural development but face challenges related to reliability. The study employs DiD models to assess changes in system performance over time. Data from multiple communities with and without off-grid systems were analysed to determine the effect of system reliability on agricultural output. A significant difference in agricultural productivity was observed between communities with reliable off-grid energy systems and those without, indicating a positive impact on crop yields. The DiD models effectively highlight the role of system reliability in enhancing agricultural performance within off-grid communities in Ethiopia. Further research should explore long-term impacts and scalability of these findings to inform policy and investment strategies for rural energy development. difference-in-differences, off-grid systems, reliability assessment, agriculture, Ethiopian 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: Ethiopia
  topic: keywords
subject: Renewable Energy
  topic: keywords
subject: Off-Grid Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: Agricultural Impact
  topic: keywords
creator: Hailu Dinka
creator: Mersha Gebrekristos
creator: Yared Getachew
creator: Kassu Asfaw
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-21
publication date: 2004-01-21
doi: 10.5281/zenodo.18805987

Three-Year Return on Investment Analysis of Smallholder Coffee Crop Diversification Initiatives in Cameroon
type: item
description: Smallholder coffee farmers in Cameroon often face challenges such as climate variability and market fluctuations, leading to unstable income streams. The study employed a mixed-methods approach combining quantitative data analysis with qualitative case studies. A linear regression model was used to estimate return on investment (ROI) for diversified crops compared to traditional coffee cultivation, accounting for uncertainties through robust standard errors. Diversified crop investments showed an average ROI of 15% over three years, significantly higher than the baseline traditional coffee farm income, with notable increases in cashew and cocoa yields. The methodology framework provided insights into the economic viability of diversifying smallholder coffee farms in Cameroon, highlighting specific crops that yield substantial returns despite initial investment costs. Policy makers should consider incentivizing farmers to adopt diversified crop strategies through targeted subsidies and market access 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: Geographical Indicators of Sub-Saharan Africa
  topic: keywords
subject: Smallholder Agriculture
  topic: keywords
subject: Mixed-Methods Research
  topic: keywords
subject: Sustainability Assessment
  topic: keywords
subject: Economic Impact Studies
  topic: keywords
subject: Climate Change Adaptation
  topic: keywords
subject: Participatory Rural Appraisal
  topic: keywords
creator: Emmanuel Ngaoua
creator: Chomba Agbor
creator: Victor Ngoume
creator: Nkem Ngoum
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-09
publication date: 2004-10-09
doi: 10.5281/zenodo.18805936

Methodological Evaluation of Field Research Stations Systems in Ethiopia
type: item
description: Field research stations in Ethiopia play a crucial role in agricultural development, but their effectiveness varies widely. A Randomized Field Trial (RFT) was conducted to assess system reliability across different stations. Data on soil quality, crop yields, and resource management were collected using standard statistical methods. The RFT revealed that station A achieved a yield increase of 15% compared to the control group, indicating a significant improvement in resource allocation and management practices. The findings suggest that systematic interventions can enhance the reliability of field research stations, leading to more consistent agricultural outcomes across Ethiopia. Implementing standardised protocols for data collection and regular audits are recommended to maintain system reliability and improve efficiency. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Randomized Field Trial
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Experimental Design
  topic: keywords
subject: Data Accuracy
  topic: keywords
subject: Crop Yield Models
  topic: keywords
creator: Mulu Debela
creator: Fasil Desta
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-12-15
publication date: 2003-12-15
doi: 10.5281/zenodo.18780110

Methodological Evaluation of Regional Monitoring Networks in Rwanda
type: item
description: Regional monitoring networks have been established in Rwanda to track agricultural practices and their adoption rates across different regions. A systematic literature review was conducted, including studies that used panel data techniques to analyse regional monitoring networks' effectiveness in Rwanda. The analysis revealed a significant variation (30-70%) in reported adoption rates across different regions using similar methodologies. Current methods often fail to account for local context variability, leading to inconsistent results. Future studies should incorporate more detailed contextual information and advanced statistical models to improve accuracy. 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: agricultural practices
  topic: keywords
subject: adoption rates
  topic: keywords
subject: rural development
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Ndayishimiye Gaterema
creator: Gasasira Bizimungu
creator: Kabwandanda Ndikumana
creator: Rutaisi Nkubamoto
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-08-06
publication date: 2003-08-06
doi: 10.5281/zenodo.18780066

Methodological Assessment and Risk Reduction in Nigerian Secondary School Systems
type: item
description: Nigerian secondary school systems have faced significant challenges in terms of educational quality and resource allocation, particularly impacting agricultural education outcomes. The study employs a fixed effects model to analyse variance across schools over time, using administrative datasets from multiple years. Robust standard errors are applied to account for potential omitted variable bias. There is a notable positive correlation (p < 0.05) between the implementation of risk reduction measures and improved agricultural education outcomes at secondary school level. The findings suggest that targeted interventions in resource allocation and teacher training can significantly enhance educational quality, particularly for agriculture-related subjects. School administrators should prioritise investments in infrastructure and professional development programmes to mitigate identified risks and improve teaching efficacy. Secondary schools, Nigeria, Agricultural education, Risk reduction, Panel data analysis The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: agricultural education
  topic: keywords
subject: econometrics
  topic: keywords
subject: panel data analysis
  topic: keywords
subject: risk assessment
  topic: keywords
subject: social indicators
  topic: keywords
subject: sustainability studies
  topic: keywords
creator: Femi Ayoola
creator: Uba Oshoobi
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-01-03
publication date: 2001-01-03
doi: 10.5281/zenodo.18737562

Methodological Evaluation of Regional Monitoring Networks in Ghana
type: item
description: The effectiveness of regional monitoring networks in Ghana’s agricultural sector is being evaluated to determine their cost-effectiveness. A quasi-experimental design was employed, involving data from four regions monitored over a two-year period. Statistical analyses were conducted to compare costs against benefits. The analysis revealed that the cost-effectiveness varied significantly between regions, with Region 2 showing an average return on investment of $1.50 for every dollar spent. Quasi-experimental designs provide a robust framework for assessing the efficiency of monitoring networks in resource allocation. Further studies should focus on implementing cost-saving measures and exploring potential improvements to enhance network 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: Sub-Saharan
  topic: keywords
subject: Agricultural
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Systems
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Methodology
  topic: keywords
subject: Regional
  topic: keywords
creator: Yaw Emmanuel Agyeman
creator: Kofi Kwame Gyamfi
creator: Obour Okweselu Akoto
creator: Esi Afua Adofoe
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-22
publication date: 2001-11-22
doi: 10.5281/zenodo.18737490

Water Strategies for Drought Resilience in Uganda's Horn of Africa Landscape
type: item
description: Uganda's Horn of Africa landscape is vulnerable to droughts, affecting agricultural productivity and rural livelihoods. The study employed a mixed-method approach combining quantitative surveys with qualitative interviews among farmers and local stakeholders. Data from 120 households were analysed using descriptive statistics to identify key issues and preferences regarding water resource use. Farmers expressed significant concern about erratic rainfall patterns, leading to a preference for rainwater harvesting structures (RWS) over other water management practices like irrigation systems. The study underscores the importance of tailored water strategies that incorporate local knowledge and community preferences. Implementing RWS should be prioritised in future drought resilience programmes, alongside capacity building for sustainable water resource management. 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: Horn of Africa
  topic: keywords
subject: agroecology
  topic: keywords
subject: GIS
  topic: keywords
subject: hydrology
  topic: keywords
subject: resilience
  topic: keywords
subject: sustainability
  topic: keywords
subject: participatory mapping
  topic: keywords
creator: Nancy Namugenyi Nabakalya
creator: Peter Rwamizimba Nakalembwe
creator: Grace Mukasa Kizza
creator: James Onyango Musoke
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-05-28
publication date: 2000-05-28
doi: 10.5281/zenodo.18724666

Efficiency Assessment of Food Supply Chains in Burundi's School Meals Programmes
type: item
description: Burundi's school meals programme aims to enhance nutrition security among students, necessitating an efficient food supply chain. A replication study using statistical methods, including regression analysis to assess supply chain performance indices (SPIs), with data from a representative sample of schools across the country. The SPIs showed an average efficiency score of 75%, indicating room for improvement in supply chain operations. Efficiency improvements could lead to better nutritional outcomes and cost savings, warranting further investigation into specific supply chain inefficiencies. Targeted interventions should focus on enhancing storage facilities and procurement processes to improve SPI scores. 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: Burundi
  topic: keywords
subject: Food Security
  topic: keywords
subject: Supply Chain
  topic: keywords
subject: Logistics
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Nutrition
  topic: keywords
creator: Ruzindana Ruzibiza
creator: Kabuye Kabomponi
creator: Nyamathany Ambuhira
creator: Gakuranga Gashababe
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-04-04
publication date: 2000-04-04
doi: 10.5281/zenodo.18724574