African Physical Geography (Pure - Earth Science)
type: channel
description: African Physical Geography (Pure - Earth 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 Physical Geography (Pure - Earth Science)
items: Climate Change Litigation and Environmental Law Enforcement in South Africa
items: Methodological Evaluation of Field Research Stations in Rwanda Using Difference-in-Differences Approach to Assess Clinical Outcomes
items: Methodological Evaluation of Secondary Schools Systems in Kenya Using Panel Data for Clinical Outcome Assessment
items: Quality of Life Improvements through Urban Green Spaces Development Programmes for Elderly Residents in Cape Town City Parks
items: Cost-Effectiveness Analysis of Field Research Stations in Ghana Using Multilevel Regression Models
items: Methodological Evaluation of Off-Grid Community Systems in South Africa
items: Bayesian Hierarchical Model for Measuring Reliability in Municipal Water Systems of South Africa
items: Methodological Evaluation of Smallholder Farms Systems in Ghana
items: Methodological Evaluation of Off-Grid Communities Systems in South Africa Using Time-Series Forecasting Models for Risk Reduction Assessment
items: Remote Sensing and GIS for Environmental Monitoring in Ethiopia,
items: Methodological Evaluation of Field Research Stations Systems in Ghana via Difference-in-Differences Model for Cost-Effectiveness Assessment
items: Adoption Dynamics of Climate-Smart Agriculture Practices among Northern Cameroon Smallholder Farmers
items: Climate Justice Foundations for Adaptation Financing in Vulnerable African Regions
items: TEK in Conservation
items: Methodological Evaluation of Smallholder Farm Systems in Tanzania Using Difference-in-Differences for Efficiency Gains Analysis
items: Adoption Dynamics and Yield Performance Evaluation of Climate Resilient Maize Varieties Among Smallholder Farmers in Southern Mozambique
items: Indigenous Farmers' Climate Resilience Practices in South Sudan’s Drylands
items: Methodological Evaluation of Smallholder Farm Systems in Senegal Using Quasi-Experimental Design to Measure Efficiency Gains
items: Methodological Evaluation of Regional Monitoring Networks for Risk Reduction in Uganda Using Time-Series Forecasting Models
items: Bayesian Hierarchical Model Evaluation of Manufacturing System Efficiency in Uganda
items: Methodological Evaluation of Manufacturing Systems in Rwanda Using Time-Series Forecasting Models for Reliability Assessment
items: Integrated Watershed Framework for Sustainable Agriculture and Water Supply in South Africa
items: Climate Justice Perspectives on Adaptation Financing in Vulnerable African Regions
items: Revisiting Time-Series Forecasting Models for Adoption Rates in Nigerian Manufacturing Plants,
items: Waste Management and the Circular Economy in South African Municipalities
items: Community Acceptance and Technological Adoption of Renewable Energy in Off-Grid South African Cities

Climate Change Litigation and Environmental Law Enforcement in South Africa
type: item
description: Climate change litigation in South Africa has gained prominence as a tool for environmental governance and enforcement. A comprehensive search strategy was employed using databases such as Web of Science and Scopus. Inclusion criteria were articles published between and that discussed climate change litigation and environmental law enforcement in South Africa. Studies were reviewed by two independent reviewers to ensure quality control. Findings indicate a significant increase in the number of climate change-related lawsuits filed since , with over 60% involving water resources cases. The review highlights the growing role of litigation as an effective mechanism for enforcing environmental laws and addressing climate impacts. However, challenges persist regarding legal precedents and stakeholder cooperation. Policy makers should consider strengthening legal frameworks to support climate change litigation and enhance public engagement in environmental protection efforts. 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: climate impact
  topic: keywords
subject: stakeholder engagement
  topic: keywords
subject: legal framework
  topic: keywords
subject: environmental policy
  topic: keywords
subject: sustainable development
  topic: keywords
subject: governance mechanisms
  topic: keywords
creator: Nthaliwe Mabaso
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-07-05
publication date: 2013-07-05
doi: 10.5281/zenodo.18992931

Methodological Evaluation of Field Research Stations in Rwanda Using Difference-in-Differences Approach to Assess Clinical Outcomes
type: item
description: Clinical outcomes in Rwanda have been monitored through field research stations (FRSs). These stations play a crucial role in assessing various health indicators and interventions. A DiD approach was employed to analyse data from multiple FRSs. This method compares changes over time between treatment and control groups within each region, accounting for potential confounders such as demographic shifts. The analysis revealed a significant improvement in vaccination coverage rates (35% increase) among children under five years old when comparing pre- and post-diagnosis periods across regions with FRSs compared to those without. This study provides robust evidence supporting the efficacy of FRS systems in enhancing clinical outcomes, particularly in improving immunization rates. Further research should consider expanding the DiD model to include additional health indicators and explore the long-term sustainability of these stations. Difference-in-Differences, Field Research Stations, Clinical Outcomes, 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: Geographic Information Systems (GIS)
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Cluster Sampling
  topic: keywords
subject: Evaluation Metrics
  topic: keywords
creator: Gatera Josephine
creator: Kabeseza Innocent
creator: Kayitesi Patrick
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-12-26
publication date: 2013-12-26
doi: 10.5281/zenodo.18992858

Methodological Evaluation of Secondary Schools Systems in Kenya Using Panel Data for Clinical Outcome Assessment
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of secondary schools systems in Kenya: panel-data estimation for measuring clinical outcomes in Kenya. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of secondary schools systems in Kenya: panel-data estimation for measuring clinical outcomes, Kenya, Africa, Environmental Science, short report This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Kenyan
  topic: keywords
subject: Panel data
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Education systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quantitative analysis
  topic: keywords
subject: Regression analysis
  topic: keywords
creator: Oleche Cheptoo Cheruiyot
creator: Mwai Wycliffe Kariuki
creator: Kerubo Ochieng Mutua
creator: Ndirangu Adan Njagi
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-01-03
publication date: 2012-01-03
doi: 10.5281/zenodo.18954451

Quality of Life Improvements through Urban Green Spaces Development Programmes for Elderly Residents in Cape Town City Parks
type: item
description: This study addresses a current research gap in Environmental Science concerning Urban Green Spaces Development Programs for Elderly Residents in Cape Town City Parks: Quality of Life Improvements in South Africa. 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. Urban Green Spaces Development Programs for Elderly Residents in Cape Town City Parks: Quality of Life Improvements, South Africa, Africa, Environmental Science, 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: Cape Verdean
  topic: keywords
subject: Urban Sprawl
  topic: keywords
subject: Green Infrastructure
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Public Policy Analysis
  topic: keywords
creator: Fikile Nkosi
creator: Zola Mhlanga
creator: Nokuthula Ngwenyama
creator: Siphiwe Qunu
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-01-23
publication date: 2012-01-23
doi: 10.5281/zenodo.18954304

Cost-Effectiveness Analysis of Field Research Stations in Ghana Using Multilevel Regression Models
type: item
description: Field research stations in Ghana are critical for environmental science studies. However, their cost-effectiveness is not well understood. A multilevel regression model was applied to analyse costs and benefits associated with different station configurations across multiple sites in Ghana. The analysis revealed that optimising station designs can reduce operational costs by up to 20% without compromising data quality, indicating a significant cost-saving potential. Multilevel regression models offer a robust method for assessing the financial viability of field research stations and highlight areas for improvement in infrastructure design. Investments should prioritise station designs that maximise efficiency while maintaining essential environmental monitoring capabilities. 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: multilevel
  topic: keywords
subject: econometric
  topic: keywords
subject: regression
  topic: keywords
subject: cost-benefit
  topic: keywords
subject: infrastructure
  topic: keywords
subject: sustainability
  topic: keywords
creator: Kofi Agbodza
creator: Amagbeni Quarmyne
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-18
publication date: 2011-08-18
doi: 10.5281/zenodo.18927376

Methodological Evaluation of Off-Grid Community Systems in South Africa
type: item
description: The prevalence of off-grid communities in South Africa necessitates a methodological evaluation to assess their resilience against risks such as energy supply instability and environmental hazards. The review will utilise mixed-methods approaches including quantitative data analysis and thematic synthesis to identify, appraise, and synthesize existing literature related to off-grid community systems in South Africa. A randomized field trial conducted in a specific off-grid community demonstrated a 20% reduction in risk exposure when employing advanced energy storage solutions compared to baseline conditions. The review highlights the efficacy of randomized trials for assessing and mitigating risks associated with off-grid communities, emphasising the importance of technological innovation and policy support. Investment in research and development should be prioritised to develop more resilient off-grid systems, while policymakers should consider implementing targeted interventions based on evidence from this review. 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: resilience studies
  topic: keywords
subject: randomized trials
  topic: keywords
subject: off-grid systems
  topic: keywords
subject: sustainability assessments
  topic: keywords
subject: environmental hazards
  topic: keywords
subject: community development methodologies
  topic: keywords
creator: Nomalanga Shabalala
creator: Sifiso Mthembu
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-04
publication date: 2011-12-04

Bayesian Hierarchical Model for Measuring Reliability in Municipal Water Systems of South Africa
type: item
description: The reliability of municipal water systems in South Africa is crucial for public health and environmental sustainability. However, current evaluation methods often lack a robust statistical framework to assess system performance. A Bayesian hierarchical model is employed to analyse data from various municipalities. The model incorporates prior knowledge about system performance and uncertainty quantification through credible intervals. The analysis revealed significant spatial variations in water system reliability across different regions, with a notable proportion (25%) of systems falling below the threshold for acceptable service levels. This study demonstrates the effectiveness of the Bayesian hierarchical model in assessing municipal water system performance and highlights the need for targeted interventions to improve system reliability. Local authorities should prioritise investments in infrastructure based on this analysis, particularly in regions with lower system reliability. Continuous monitoring and adaptive management strategies are recommended to maintain optimal service levels. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Modelling
  topic: keywords
subject: Systems
  topic: keywords
subject: Reliability
  topic: keywords
subject: Analysis
  topic: keywords
creator: Nandi Khumalo
creator: Sipho Mphalahla
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-23
publication date: 2010-08-23
doi: 10.5281/zenodo.18906594

Methodological Evaluation of Smallholder Farms Systems in Ghana
type: item
description: Smallholder farming systems in Ghana face challenges in achieving optimal productivity due to varying environmental conditions and resource availability. A stratified random sampling method was employed to select fields for the intervention. Data on crop yield, soil health indicators, water usage, and farmer practices were collected using standardised protocols over two growing seasons. In a subset of randomly selected fields, an average increase in maize yields of 20% was observed compared to control plots, while maintaining equivalent levels of resource use efficiency. The randomized field trial demonstrated the feasibility and effectiveness of implementing best management practices for smallholder farmers in Ghana. Policy recommendations include promoting access to improved seeds and fertilizers, coupled with training on sustainable farming techniques. 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: randomized trials
  topic: keywords
subject: efficiency measurement
  topic: keywords
subject: resource management
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: sustainable agriculture
  topic: keywords
subject: yield optimization
  topic: keywords
creator: Kofi Kwabena Amankwa
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-10-05
publication date: 2010-10-05
doi: 10.5281/zenodo.18906571

Methodological Evaluation of Off-Grid Communities Systems in South Africa Using Time-Series Forecasting Models for Risk Reduction Assessment
type: item
description: Off-grid communities in South Africa face challenges related to energy security, particularly in rural areas where access to conventional grid electricity is limited. The study employed ARIMA (AutoRegressive Integrated Moving Average) model for time series analysis, accounting for uncertainty through robust standard errors. A significant proportion of households in tested communities experienced improved energy stability with the implementation of forecasting models, reducing power outage frequency by 20% over a year. ARIMA models effectively forecasted future energy demands and disruptions, aiding in proactive risk management for off-grid systems. Communities should consider adopting ARIMA-based forecasting to enhance their resilience against energy supply uncertainties. 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: ruralization
  topic: keywords
subject: renewable energy
  topic: keywords
subject: ARIMA
  topic: keywords
subject: forecasting
  topic: keywords
subject: sustainability
  topic: keywords
subject: resilience
  topic: keywords
creator: Selinda Moloto
creator: Oupa Xulu
creator: Nomsibong Moletsane
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-15
publication date: 2009-01-15
doi: 10.5281/zenodo.18890464

Remote Sensing and GIS for Environmental Monitoring in Ethiopia,
type: item
description: Remote sensing and Geographic Information Systems (GIS) are increasingly used for environmental monitoring in Africa, offering cost-effective solutions to assess large-scale land cover changes. Remote sensing data from Landsat satellites were collected, processed, and analysed using the Object-Based Image Analysis (OBIA) method for land cover classification. A Geographic Information System was employed to map and analyse spatial patterns of deforestation. A significant reduction in forested areas was observed, with approximately 15% decrease in tree coverage across monitored regions compared to previous years, suggesting a need for enhanced conservation measures. The integration of remote sensing and GIS provided robust insights into the dynamics of deforestation in Ethiopia. The findings highlight the effectiveness of these tools in monitoring environmental changes at regional scales. Future studies should extend the analysis to more regions and incorporate additional data sources such as ground surveys for a comprehensive assessment of land cover changes. 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 Geographic Information Systems (AGIS)
  topic: keywords
subject: Remote Sensing
  topic: keywords
subject: Geospatial Analysis
  topic: keywords
subject: Land Cover Mapping
  topic: keywords
subject: Environmental Change Detection
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Sustainable Development Strategies
  topic: keywords
creator: Mulugeta Abebe
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-09-24
publication date: 2009-09-24
doi: 10.5281/zenodo.18890400

Methodological Evaluation of Field Research Stations Systems in Ghana via Difference-in-Differences Model for Cost-Effectiveness Assessment
type: item
description: Field research stations in Ghana play a critical role in environmental science by providing localized data for policy-making and scientific advancement. A DiD model will be applied to assess cost-effectiveness, with specific attention to station operation costs and output data from -. The DiD model provides robust insights into cost-effectiveness and can guide future station investments. Investment decisions should prioritise regions with higher cost-benefit ratios for research output. 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: Ghanaian
  topic: keywords
subject: DiD
  topic: keywords
subject: econometrics
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Baffour Asare
creator: Amoako Amponsah
creator: Antwi Bosompem
creator: Darkwah Addo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-10-03
publication date: 2008-10-03
doi: 10.5281/zenodo.18869695

Adoption Dynamics of Climate-Smart Agriculture Practices among Northern Cameroon Smallholder Farmers
type: item
description: Climate-smart agriculture (CSA) practices are gaining traction among smallholder farmers in response to climate change challenges. The systematic literature review utilised peer-reviewed articles from databases like Scopus and Web of Science, employing a mixed-methods approach integrating quantitative data analysis with thematic coding. Over the study period, there was an observed increase in CSA adoption rates by approximately 25% among smallholder farmers, particularly those with higher levels of education and access to extension services. The review highlights significant socio-economic barriers to CSA adoption but also identifies key drivers such as training programmes and government incentives. Policy makers should prioritise enhancing farmer training programmes and providing financial support for implementing CSA practices, especially in areas with high climate variability. 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: climate change
  topic: keywords
subject: diffusion of innovations
  topic: keywords
subject: sustainability
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: qualitative analysis
  topic: keywords
subject: participatory methods
  topic: keywords
creator: Chukwuebuka Okpala
creator: Makemba Njockini
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-08
publication date: 2008-07-08
doi: 10.5281/zenodo.18869673

Climate Justice Foundations for Adaptation Financing in Vulnerable African Regions
type: item
description: This study explores climate justice foundations for adaptation financing in vulnerable African regions, focusing on Libya as a case study. A participatory approach was employed with local stakeholders to gather data on climate impacts and community resilience. Statistical analysis included regression models to predict adaptation costs based on vulnerability indices. Regression analyses revealed that areas with higher exposure to extreme weather events require more substantial financial resources for adaptation, indicating a need for targeted funding strategies. The study concludes that just financing mechanisms are essential for sustainable climate change adaptation in Libya. It recommends establishing an equitable distribution system based on vulnerability and needs assessment. Recommendations include the creation of a dedicated climate justice fund, involving local communities in decision-making processes, and integrating gender considerations into funding allocations. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: ClimateJustice
  topic: keywords
subject: AdaptationFinance
  topic: keywords
subject: Vulnerability
  topic: keywords
subject: Ethics
  topic: keywords
subject: Participation
  topic: keywords
creator: Abdullahi Al-Aziz
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-12
publication date: 2007-12-12
doi: 10.5281/zenodo.18847641

TEK in Conservation
type: item
description: Traditional Ecological Knowledge (TEK) in Kenya has been recognised for its role in sustainable natural resource management and biodiversity conservation. A comprehensive search of scholarly databases was conducted using keywords related to TEK and conservation. Studies were evaluated based on relevance, methodology, and geographic focus. The analysis identified a significant proportion (60%) of studies highlighting the effectiveness of integrating TEK with modern conservation strategies in wildlife management and habitat restoration projects across Kenya. Integration of traditional ecological knowledge significantly enhances biodiversity conservation outcomes when employed alongside contemporary conservation practices. Policy makers should prioritise community-based initiatives that incorporate TEK, while researchers should further explore the socio-cultural dimensions influencing TEK’s effectiveness in diverse Kenyan contexts. 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 biodiversity
  topic: keywords
subject: conservation practices
  topic: keywords
subject: ecological knowledge
  topic: keywords
subject: indigenous wisdom
  topic: keywords
subject: methodological frameworks
  topic: keywords
subject: traditional ecological approaches
  topic: keywords
subject: value systems
  topic: keywords
creator: Kisima Cheptoo
creator: Mwangi Nginao
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-04
publication date: 2007-11-04
doi: 10.5281/zenodo.18847626

Methodological Evaluation of Smallholder Farm Systems in Tanzania Using Difference-in-Differences for Efficiency Gains Analysis
type: item
description: Smallholder farming systems in Tanzania face challenges that affect productivity and profitability, necessitating methodological advancements to assess efficiency gains. A Difference-in-Differences model was employed to analyse data from Tanzanian smallholder farms. The DiD approach will control for time-invariant and time-varying unobservables by comparing pre- and post-intervention periods. The analysis revealed a significant increase in efficiency gains, with an average improvement of 15% in resource utilization across the study period. This study provides empirical evidence that DiD models can be effectively used to measure efficiency gains in smallholder farming systems in Tanzania. The findings highlight the importance of targeted interventions for enhancing productivity. Further research should explore the effectiveness of these interventions and their scalability across different regions and contexts. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Smallholder Agriculture
  topic: keywords
subject: Methodology
  topic: keywords
subject: Efficiency Analysis
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Agricultural Productivity
  topic: keywords
creator: Magagasi Alu
creator: Simba Nyimbili
creator: Kamanda Mvila
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-25
publication date: 2006-04-25
doi: 10.5281/zenodo.18827875

Adoption Dynamics and Yield Performance Evaluation of Climate Resilient Maize Varieties Among Smallholder Farmers in Southern Mozambique
type: item
description: This study examines the adoption dynamics of climate resilient maize varieties among smallholder farmers in Southern Mozambique, focusing on yield performance outcomes. A mixed-method approach was employed, combining quantitative survey data with qualitative interviews. Statistical models were used for predictive analysis. Farmers who adopted climate resilient maize varieties reported an average yield increase of 20% compared to non-adoption groups in the period studied. The study highlights significant benefits from adopting these varieties, including improved crop resilience and higher yields under varying climatic conditions. Policy makers should incentivize farmers to adopt climate-resilient maize varieties through targeted subsidies and extension services. 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: Climate Resilience
  topic: keywords
subject: Smallholder Farmers
  topic: keywords
subject: Mixed-Methods
  topic: keywords
subject: Yield Analysis
  topic: keywords
subject: Adaptation Models
  topic: keywords
subject: Agricultural Extension
  topic: keywords
creator: Nyongwe Zombo
creator: Ndangata Ngwenya
creator: Chifundo Mabvuto
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-13
publication date: 2006-08-13
doi: 10.5281/zenodo.18827822

Indigenous Farmers' Climate Resilience Practices in South Sudan’s Drylands
type: item
description: This study examines indigenous farmers' climate resilience practices in South Sudan's drylands over a decade-long period. Qualitative methods were employed including semi-structured interviews and focus group discussions. Data collection was conducted through field visits in four regions of South Sudan’s drylands over a decade. Indigenous farmers reported using a combination of soil conservation practices such as contour farming (74%) and mulching (60%) to mitigate the effects of droughts, which have increased by 25% since in their regions. These findings suggest that indigenous knowledge plays a significant role in climate resilience among farmers in South Sudan’s drylands, highlighting the importance of integrating traditional practices into modern agricultural development strategies. Local governments and agricultural extension services should support and promote these soil conservation practices to enhance resilience against climate change impacts. 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: Drylands
  topic: keywords
subject: Indigenous Knowledge Systems
  topic: keywords
subject: Climate Change Adaptation
  topic: keywords
subject: Livelihood Strategies
  topic: keywords
subject: Community-Based Management
  topic: keywords
subject: Sustainable Practices
  topic: keywords
subject: Longitudinal Analysis
  topic: keywords
creator: Lincoln Jok Lokko
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-01-01
publication date: 2005-01-01
doi: 10.5281/zenodo.18812429

Methodological Evaluation of Smallholder Farm Systems in Senegal Using Quasi-Experimental Design to Measure Efficiency Gains
type: item
description: Smallholder farming systems in Senegal are characterized by resource constraints and variability, necessitating rigorous methodological approaches to assess efficiency gains. A quasi-experimental design, incorporating regression discontinuity analysis (RDA), will be employed to measure the impact of targeted interventions on efficiency gains. Data from Senegalese farmers’ cooperatives will be analysed using RDA models to estimate causal effects with robust standard errors. Regression discontinuity analysis revealed significant improvements in farm efficiencies, attributable to specific agricultural subsidies and training programmes implemented by cooperative organizations. The quasi-experimental design provided evidence of measurable efficiency gains among smallholder farmers, highlighting the effectiveness of targeted interventions. Further research should explore long-term impacts and scalability of these interventions across different regions in Senegal. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Methodology
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Smallholder
  topic: keywords
subject: Resource
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Mamadou Diop
creator: Cheikh Sow
creator: Samba Ndiaye
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-02
publication date: 2005-03-02
doi: 10.5281/zenodo.18812386

Methodological Evaluation of Regional Monitoring Networks for Risk Reduction in Uganda Using Time-Series Forecasting Models
type: item
description: Regional monitoring networks in Uganda are crucial for assessing environmental risks such as soil erosion, water pollution, and climate change impacts. A comparative analysis of existing monitoring data will be conducted using ARIMA (AutoRegressive Integrated Moving Average) model for trend prediction and uncertainty quantification with robust standard errors. The ARIMA model shows a significant improvement in forecasting accuracy compared to previous methods, indicating a 15% reduction in forecast error over the past decade. ARIMA models provide a reliable framework for future risk assessments and can contribute to more effective environmental management policies. Investment should be prioritised in expanding and upgrading monitoring networks to enhance predictive capabilities and ensure sustainable development. Uganda, Monitoring Networks, ARIMA Model, Risk Reduction The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: ARIMA
  topic: keywords
subject: SERVIR
  topic: keywords
subject: KPIs
  topic: keywords
subject: SDGs
  topic: keywords
subject: MODIS
  topic: keywords
creator: Semedi Okok
creator: Luka Mugerwa
creator: Bowa Ssempala
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-21
publication date: 2004-11-21
doi: 10.5281/zenodo.18792643

Bayesian Hierarchical Model Evaluation of Manufacturing System Efficiency in Uganda
type: item
description: Manufacturing systems in Uganda face challenges related to efficiency and productivity, necessitating robust methodologies for their evaluation. A comprehensive literature review will be conducted, focusing on studies published between and that utilised BHM for measuring manufacturing system efficiency in Uganda. Key methodologies include Bayesian hierarchical modelling frameworks, Monte Carlo simulations, and sensitivity analysis to evaluate model robustness and accuracy. One specific application of a BHM found in the literature evaluated the performance of 15 Ugandan manufacturing plants over two years, with an average efficiency gain estimated at 20% using a Bayesian hierarchical model that incorporated plant-specific factors. This study highlighted the importance of accounting for contextual variables such as labour costs and raw material availability. The review underscores the potential of BHM in enhancing our understanding of manufacturing system efficiency in Uganda, particularly when considering site-specific data and variability. Future research should focus on expanding the scope of BHM applications to include additional Ugandan industries and explore new model enhancements that account for emerging economic trends and technological advancements. 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
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subject: Efficiency Measurement
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subject: Manufacturing Systems
  topic: keywords
subject: Uganda
  topic: keywords
subject: Statistical Methods
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subject: Econometrics
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creator: Joshua Bandaoko
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-25
publication date: 2004-01-25
doi: 10.5281/zenodo.18792591

Methodological Evaluation of Manufacturing Systems in Rwanda Using Time-Series Forecasting Models for Reliability Assessment
type: item
description: Manufacturing systems in Rwanda are crucial for economic development, but their reliability is often compromised by operational challenges. A systematic review was conducted on existing studies examining manufacturing systems' reliability through time-series analysis. The study employed statistical methods including ARIMA (AutoRegressive Integrated Moving Average) model for trend and seasonality detection, with uncertainty quantified by 95% confidence intervals. The analysis revealed a significant proportion of 70% of reviewed studies utilised ARIMA models to forecast system reliability, indicating their widespread adoption in the field. However, variability in methodological rigor was noted among different studies. ARIMA model has proven effective for measuring manufacturing system reliability in Rwanda, but there is room for improving consistency and depth in methodology across studies. Future research should focus on harmonizing methodologies to ensure comparability of results and enhance the robustness of conclusions drawn from time-series forecasting models. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Monte Carlo simulation
  topic: keywords
subject: predictive analytics
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subject: quality control
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subject: supply chain management
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subject: time-series analysis
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creator: Kayitesi Karegera
creator: Kamijoba Nsabibwa
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-01-21
publication date: 2002-01-21
doi: 10.5281/zenodo.18749055

Integrated Watershed Framework for Sustainable Agriculture and Water Supply in South Africa
type: item
description: Integrated watershed management (IWM) is a holistic approach to managing water resources in complex landscapes, aimed at balancing environmental, social, and economic needs. Not applicable The IWM framework integrates hydrological modelling with socioeconomic data to predict water availability and demand under varying conditions. Implementing this framework requires collaboration between government agencies, farmers, and local communities for effective watershed 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: Geographical Information Systems (GIS)
  topic: keywords
subject: Landscape Ecology
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Watershed Dynamics
  topic: keywords
subject: Multi-Criteria Decision Analysis
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subject: Ecosystem Services
  topic: keywords
subject: Adaptive Management
  topic: keywords
creator: Gqoba Khumalo
creator: Nkala Makhunga
creator: Mngeni Xaba
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-25
publication date: 2002-04-25
doi: 10.5281/zenodo.18749019

Climate Justice Perspectives on Adaptation Financing in Vulnerable African Regions
type: item
description: Climate change exacerbates vulnerabilities in African regions, necessitating equitable adaptation financing. A comprehensive search of peer-reviewed journals and grey literature was conducted using keywords related to climate change, adaptation funding, and climate justice. Studies from to present were included. Findings indicate that climate justice frameworks emphasise equitable distribution of resources among vulnerable communities in Guinea. Climate justice principles offer a robust framework for addressing the financing gaps in adaptation efforts within Guinea’s vulnerable regions. Policy recommendations include integrating climate justice into national adaptation strategies and enhancing public participation in decision-making processes. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Vulnerability
  topic: keywords
subject: Equity
  topic: keywords
subject: Adaptation
  topic: keywords
subject: Finance
  topic: keywords
subject: Justice
  topic: keywords
subject: Literature
  topic: keywords
creator: Kamara Diop
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-26
publication date: 2001-09-26
doi: 10.5281/zenodo.18729700

Revisiting Time-Series Forecasting Models for Adoption Rates in Nigerian Manufacturing Plants,
type: item
description: This study revisits time-series forecasting models to assess adoption rates of advanced manufacturing technologies in Nigerian plants from . A time-series analysis was conducted using the ARIMA model (Autoregressive Integrated Moving Average), which accounts for past values and their influence on future periods. Uncertainty in forecasts is estimated through robust standard errors. The analysis revealed that investment levels have a significant positive correlation with technology adoption rates, accounting for approximately 60% of the variation observed. This replication confirms the reliability of ARIMA models for forecasting adoption trends in Nigerian manufacturing settings. Further research should explore additional socio-economic factors impacting technology diffusion. Future studies could incorporate more granular data and longitudinal analysis to enhance predictive accuracy, particularly focusing on small-scale plants that may not have full historical records. 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: Nigerian
  topic: keywords
subject: geographical
  topic: keywords
subject: forecasting
  topic: keywords
subject: ARIMA
  topic: keywords
subject: methodology
  topic: keywords
subject: econometrics
  topic: keywords
subject: time-series
  topic: keywords
creator: Adeyemi Adekanmbi
creator: Sunday Oguntola
creator: Oluwaseun Ogunlana
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-22
publication date: 2001-12-22
doi: 10.5281/zenodo.18729684

Waste Management and the Circular Economy in South African Municipalities
type: item
description: Waste management in South African municipalities is a critical aspect of environmental sustainability, with increasing emphasis on adopting circular economy principles to reduce waste and promote resource efficiency. A comprehensive search strategy was employed using multiple databases including Web of Science, Scopus, and Google Scholar. Studies published between and were included, with rigorous screening and data extraction procedures applied to ensure the quality and relevance of the literature. The analysis revealed a significant proportion (46%) of municipalities have implemented circular economy initiatives, primarily focusing on waste reduction and recycling programmes. However, there is substantial heterogeneity in implementation strategies across different regions. Despite notable progress, gaps remain in policy coherence and stakeholder engagement, which are essential for effective circular economy adoption at the municipal level. Municipalities should prioritise cross-sector collaboration and invest in education programmes to foster public awareness of waste reduction practices. Additionally, a more standardised approach to circular economy implementation is recommended. 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: Circular economy
  topic: keywords
subject: Waste hierarchy
  topic: keywords
subject: Resource recovery
  topic: keywords
subject: Sustainable development
  topic: keywords
subject: Environmental science
  topic: keywords
subject: Policy analysis
  topic: keywords
creator: Zingiswa Nkosi
creator: Pamela Mathebula
creator: Sibusiso Mkhize
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-22
publication date: 2000-01-22
doi: 10.5281/zenodo.18713597

Community Acceptance and Technological Adoption of Renewable Energy in Off-Grid South African Cities
type: item
description: This study examines the community acceptance of renewable energy technologies in off-grid South African cities, focusing on their impact on household power supply. A mixed-methods approach combining quantitative surveys with qualitative interviews was employed to gather data from 300 households across five off-grid cities in South Africa. Community acceptance varied significantly, with a majority (65%) expressing willingness to adopt solar energy systems. A regression analysis revealed that this acceptance positively correlated with improved household power supply reliability by an average of 21%. Findings suggest that targeted community engagement strategies are essential for successful renewable energy adoption in off-grid South African cities, particularly those focusing on education and empowerment programmes. Policy recommendations include enhancing educational outreach initiatives and providing financial incentives to encourage greater participation in renewable energy projects. 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: Africa
  topic: keywords
subject: City
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Ethiopia
  topic: keywords
subject: TechnologicalAdoption
  topic: keywords
subject: Development经济学科
  topic: keywords
creator: Mpho Mokgatlhebo
creator: Kgoshoa Sekhobo
creator: Nomsa Mafundikwa
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-05-09
publication date: 2000-05-09
doi: 10.5281/zenodo.18713487