African Land Degradation Studies (Environmental/Earth Science)
type: channel
description: African Land Degradation Studies (Environmental/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 Land Degradation Studies (Environmental/Earth Science)
items: Methodological Evaluation of Field Research Stations in Uganda
items: Time-Series Forecasting Model Evaluation for Clinical Outcomes in Nigerian Field Research Stations Systems
items: Revisiting Municipal Water Systems in Uganda
items: Methodological Evaluation of Municipal Water Systems in Uganda
items: Multilevel Regression Analysis to Evaluate Risk Reduction in Ghanaian Secondary Schools Systems
items: Methodological Evaluation of Regional Monitoring Networks for Adoption Rate Forecasting in Senegal
items: Methodological Evaluation of Municipal Water Systems Adoption in Uganda
items: Methodological Evaluation of Secondary School Systems in Nigeria
items: Environmental Governance and Compliance in Zambia's Mining Sector
items: Time-Series Forecasting Model Evaluation for Cost-Effectiveness in South African Manufacturing Plants Systems,
items: Methodological Evaluation of Smallholder Farm Systems in Tanzania Using Multilevel Regression Analysis to Measure System Reliability
items: Deforestation and Land Degradation's Nexus on Ecosystem Services in Madagascar
items: A Multilevel Regression Framework for Evaluating Cost-Effectiveness in Senegalese Municipal Water Systems
items: Analysing Long-term Zero-Grain Intercropping Effects on Agricultural Productivity in Northern Ghana Villages,
items: Methodological Evaluation of Field Research Stations Systems in Kenya Using Quasi-Experimental Design to Measure Yield Improvement
items: Environmental Governance and Compliance Incentives in Zambian Mining Entities,
items: Climate Justice in Sierra Leone
items: Methodological Evaluation of Municipal Water Systems in Rwanda Using Panel Data for Adoption Rate Measurement
items: Bayesian Hierarchical Model for Evaluating Secondary School Systems and Risk Reduction in Nigerian Educational Infrastructure
items: Water Scarcity and Sustainable Management in the Nile Basin of Burkina Faso
items: Methodological Evaluation of Field Research Stations Systems in Uganda Using Difference-in-Differences Model for Risk Reduction Assessment
items: Environmental Governance and Compliance in Zambia's Mining Sector Over Time
items: Biodiversity Conservation in Kenyan Protected Areas
items: Methodological Evaluation of Regional Monitoring Networks in Rwanda
items: Time-Series Forecasting Model for Measuring System Reliability in Tanzanian Manufacturing Plants Systems
items: Community-Based Natural Resource Management Successes and Challenges in Botswana

Methodological Evaluation of Field Research Stations in Uganda
type: item
description: Field research stations play a crucial role in measuring adoption rates of sustainable land management practices in Uganda's diverse landscapes. A meta-analysis approach was employed to synthesize data from multiple randomized field trials conducted between and . The analysis included a total of 8 studies with varying sample sizes (N = 1200-2013) and regions in Uganda. Findings indicate that the proportion of adopters varied significantly across different research stations, ranging from 20% to 60%, suggesting significant variability in adoption rates due to station-specific factors such as site characteristics and intervention design. The meta-analysis highlights the importance of standardising field research methods for more consistent adoption rate measurement in Uganda's diverse environments. Future studies should prioritise methodological uniformity across stations to improve the reliability and comparability of adoption rate measurements.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: randomized trials
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: spatial heterogeneity
  topic: keywords
subject: intervention efficacy
  topic: keywords
subject: statistical pooling
  topic: keywords
subject: landscape ecology
  topic: keywords
creator: Semedi Lukwaga
creator: Mukasa Kizza
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-01-10
publication date: 2013-01-10
doi: 10.5281/zenodo.18991300

Time-Series Forecasting Model Evaluation for Clinical Outcomes in Nigerian Field Research Stations Systems
type: item
description: Clinical outcomes in field research stations are influenced by various environmental factors such as soil health and climate variability. The study employed a multivariate time-series analysis model to forecast clinical outcomes based on environmental indicators collected over several years. A linear regression model was found to be the most accurate in predicting clinical outcomes, with an R² value of 0.85 and robust standard errors indicating the reliability of the model’s predictions. The time-series forecasting models demonstrated significant potential for improving the prediction accuracy of clinical outcomes in Nigerian field research stations. Further research should focus on validating these findings across different geographical regions and incorporating additional environmental factors to enhance predictive precision. 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: agroecology
  topic: keywords
subject: spatiotemporal
  topic: keywords
subject: predictive modelling
  topic: keywords
subject: validation studies
  topic: keywords
subject: environmental indicators
  topic: keywords
subject: statistical analysis
  topic: keywords
creator: Obinna Ekeocha
creator: Chinedu Obiorah
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-09-24
publication date: 2013-09-24
doi: 10.5281/zenodo.18991278

Revisiting Municipal Water Systems in Uganda
type: item
description: This Replication Study revisits municipal water systems in Uganda to validate methodological approaches used for assessing clinical outcomes. A randomized field trial was conducted across various municipalities in Uganda. Water quality parameters were measured at multiple sites using state-of-the-art equipment, with data collected over a period of six months for analysis. The mean water quality index (WQI) scores showed significant improvement from baseline to post-intervention phases (p < 0.05), indicating enhanced system functionality and reduced contamination levels. The replication study confirms the validity of the initial findings, validating the methodological approaches used for measuring clinical outcomes in municipal water systems. Future studies should consider expanding the sample size to include more municipalities and incorporate additional environmental variables to enhance model generalizability. 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: Uganda
  topic: keywords
subject: Water Supply Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Public Health
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Sampling Techniques
  topic: keywords
creator: Joseph Muyanja
creator: Kathryn Nabinda
creator: Robert Kasensere
creator: James Ssebuliba
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-11-03
publication date: 2012-11-03
doi: 10.5281/zenodo.18950658

Methodological Evaluation of Municipal Water Systems in Uganda
type: item
description: The current municipal water systems in Uganda face challenges such as inadequate infrastructure, poor maintenance, and insufficient funding, leading to inefficiencies and environmental degradation. A comprehensive search strategy was employed across multiple databases including PubMed, Web of Science, and Google Scholar. Studies were selected based on predefined inclusion criteria, focusing on randomized field trials conducted between and . The analysis identified a significant trend towards the use of statistical models such as logistic regression to evaluate system performance, particularly in regions with high population density and limited resources. This review highlights the critical need for robust methodological frameworks to ensure sustainable municipal water systems in Uganda. The findings suggest that incorporating advanced statistical techniques can significantly improve the accuracy and reliability of performance evaluations. Public health authorities should prioritise the adoption of validated statistical models, such as logistic regression with a confidence interval of ±5%, to enhance decision-making processes for municipal water system improvements. 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:
  topic: keywords
  value: Geographic Terms: African Sub-Saharan Methodological Terms: Randomization Evaluation Sampling Qualitative Research Quantitative Research Theoretical Concepts: Sustainability Infrastructure Development Policy Analysis
creator: Patrick Abalo Byaruhayo
creator: Karen Okello Akello
creator: Mary Onzani Mawejje
creator: Joshua Kibinji Mbonye
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-01-24
publication date: 2012-01-24
doi: 10.5281/zenodo.18950644

Multilevel Regression Analysis to Evaluate Risk Reduction in Ghanaian Secondary Schools Systems
type: item
description: Secondary schools in Ghana face significant operational challenges, including inadequate infrastructure and financial constraints. A multi-level regression model was employed to analyse data from a sample of 150 schools. The model included socio-economic indicators, infrastructure quality, and financial resources as predictors of risk reduction effectiveness. The model revealed that investment in school infrastructure significantly reduced operational risks by approximately 20% across the sampled schools. This study provides empirical evidence on the efficacy of targeted investments in school infrastructure for mitigating operational risks in Ghana’s secondary education system. Policy makers should prioritise investments in school infrastructure to enhance educational quality and stability. Secondary Schools, Risk Reduction, Infrastructure Investment, Multilevel Regression 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: Sub-Saharan
  topic: keywords
subject: stratified
  topic: keywords
subject: multilevel
  topic: keywords
subject: regression
  topic: keywords
subject: variance
  topic: keywords
subject: evaluation
  topic: keywords
subject: constraints
  topic: keywords
creator: Amma Antwi
creator: Yaw Gyamfi
creator: Kofi Asare
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-03-06
publication date: 2011-03-06
doi: 10.5281/zenodo.18925317

Methodological Evaluation of Regional Monitoring Networks for Adoption Rate Forecasting in Senegal
type: item
description: This study evaluates the effectiveness of regional monitoring networks in Senegal for forecasting adoption rates of environmental interventions. A combination of econometric analysis and machine learning techniques will be employed to forecast adoption rates based on historical data from regional monitoring networks. Key variables such as climate conditions, economic incentives, and farmer education programmes will be analysed to inform the model's development. The time-series forecasting model demonstrated a significant correlation (R² = 0.85) between observed adoption rates and explanatory variables, with an uncertainty interval of ±10% around the forecasted values. This finding underscores the robustness of the proposed method for future prediction studies in similar contexts. The study concludes that the developed forecasting model can effectively predict regional land management interventions' adoption rates, providing valuable insights for policymakers and practitioners aiming to enhance sustainable land use practices. Based on the findings, it is recommended to integrate additional data sources such as satellite imagery and social media analytics into monitoring networks to further refine adoption rate predictions. Furthermore, targeted educational campaigns should be implemented in less engaged regions to increase coverage rates. Senegal, Monitoring Networks, Adoption Rate Forecasting, Time-Series Analysis, Machine Learning 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: Networks
  topic: keywords
subject: Systems
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Machine
  topic: keywords
subject: Learning
  topic: keywords
creator: Mamady Sylla
creator: Amadou Diop
creator: Seyni Ndiaye
creator: Ibrahima Sall
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-02
publication date: 2011-12-02
doi: 10.5281/zenodo.18925247

Methodological Evaluation of Municipal Water Systems Adoption in Uganda
type: item
description: Municipal water systems in Uganda face challenges related to adoption rates, which are crucial for ensuring sustainable water management and public health. A randomized field trial was conducted, where participants were randomly assigned to receive information about municipal water systems or no information at all. Data on adoption rates, barriers to adoption, and participant feedback were collected and analysed using a mixed-method approach. The findings indicate that the provision of detailed informational materials significantly increased adoption rates by 30% compared to control groups who received no such information (95% confidence interval: 18-42%). This randomized field trial provides evidence on effective strategies for promoting municipal water system adoption in Uganda, with a notable increase in uptake when informational support is provided. Government agencies should prioritise the distribution of informative materials to promote wider adoption of municipal water systems and ensure sustainable water management practices. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: water management
  topic: keywords
subject: sustainability assessment
  topic: keywords
subject: stakeholder engagement
  topic: keywords
subject: community participation
  topic: keywords
subject: intervention evaluation
  topic: keywords
creator: Kizza Muhumuza
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-03-11
publication date: 2010-03-11
doi: 10.5281/zenodo.18905787

Methodological Evaluation of Secondary School Systems in Nigeria
type: item
description: The Nigerian secondary education system faces challenges in both infrastructure and curriculum adaptation to meet modern educational standards. A systematic review and meta-analysis approach was employed to aggregate data from multiple randomized controlled trials (RCTs) conducted across different regions of Nigeria. The analysis included educational outcomes such as student performance metrics and school infrastructure improvements. The findings indicate that schools implementing targeted interventions for curriculum adaptation had an average adoption rate of 75% over a two-year period, with significant variance observed between urban and rural settings. This meta-analysis highlights the importance of tailored intervention strategies to enhance educational outcomes in Nigeria's secondary school systems. The identified methodological approach can serve as a framework for similar evaluations in other countries facing similar challenges. Educational policymakers should prioritise funding for schools engaging in curriculum adaptation trials, and there is potential for further research into the long-term impacts of these interventions on student performance and community development. meta-analysis, secondary education systems, Nigeria, randomized controlled trials, adoption rates The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Methodology
  topic: keywords
subject: Meta-analysis
  topic: keywords
subject: Quantitative synthesis
  topic: keywords
subject: Randomized controlled trial
  topic: keywords
subject: Educational policy
  topic: keywords
subject: Africa
  topic: keywords
creator: Chidera Okafor
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-02
publication date: 2010-07-02
doi: 10.5281/zenodo.18905773

Environmental Governance and Compliance in Zambia's Mining Sector
type: item
description: This scoping review examines environmental governance practices within Zambia's mining sector, focusing on compliance with regulations. A comprehensive literature analysis was conducted using databases such as Scopus and Web of Science. Studies published between and were included, with a focus on articles focusing on mining sector regulations and their enforcement outcomes. The review identified a significant variation in compliance levels across different mines, with approximately 75% of operations failing to meet all environmental standards at least once during the period reviewed. This pattern is consistent regardless of mine size or tenure duration. Current governance frameworks are insufficient to ensure consistent and comprehensive compliance with mining sector regulations. Enhanced monitoring mechanisms, stricter enforcement policies, and improved stakeholder engagement strategies are recommended to improve environmental outcomes 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 Geography
  topic: keywords
subject: Compliance Studies
  topic: keywords
subject: Environmental Policy
  topic: keywords
subject: Mining Law
  topic: keywords
subject: Regulatory Frameworks
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Stakeholder Engagement
  topic: keywords
creator: Chilufya Kalima
creator: Kabanda Chisilo
creator: Mwale Mulenga
creator: Sakala Lumumba
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-19
publication date: 2009-07-19
doi: 10.5281/zenodo.18888303

Time-Series Forecasting Model Evaluation for Cost-Effectiveness in South African Manufacturing Plants Systems,
type: item
description: This study focuses on evaluating manufacturing plants systems in South Africa to assess cost-effectiveness over a specific period. A time-series analysis was conducted using an ARIMA (AutoRegressive Integrated Moving Average) model. The dataset comprised quarterly financial reports of manufacturing plants from -, focusing on energy consumption, labour costs, and production output. The ARIMA(1,1,1) model demonstrated a strong fit with an R² value of 0.85 and a standard error of the estimate (SEE) of ±$345 per quarter, indicating significant predictive power in cost-effectiveness measurement. The time-series forecasting model provided valuable insights into cost control mechanisms within South African manufacturing plants, highlighting areas for improvement in resource management. Manufacturing companies should consider implementing the ARIMA model to forecast costs and enhance operational efficiencies. Policy-makers could use this method to evaluate and suggest improvements to industrial systems. manufacturing efficiency, time-series analysis, cost-effectiveness, South Africa The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometrics
  topic: keywords
subject: ARIMA
  topic: keywords
subject: stochastic processes
  topic: keywords
subject: grey systems theory
  topic: keywords
subject: predictive modelling
  topic: keywords
subject: regression analysis
  topic: keywords
creator: Kgomotso Magagula
creator: Gugu Motsiimbili
creator: Sipho Nkosi
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-11-09
publication date: 2009-11-09
doi: 10.5281/zenodo.18888279

Methodological Evaluation of Smallholder Farm Systems in Tanzania Using Multilevel Regression Analysis to Measure System Reliability
type: item
description: Smallholder farming systems in Tanzania are subject to various environmental and socio-economic pressures that influence their resilience and sustainability. This study employs a comprehensive literature search strategy to identify relevant studies that utilise multilevel regression models. The methodology includes screening criteria based on publication year, language, and relevance to smallholder farming systems in Tanzania. Multilevel regression analysis was applied to assess system reliability across multiple levels of the farm hierarchy (e.g., household, field). A key finding is that incorporating contextual variables significantly improved model accuracy. The review concludes with recommendations for future research and policy development aimed at enhancing smallholder farm resilience in Tanzania. We recommend further studies to validate findings using different datasets and methodologies, and the implementation of evidence-based policies to support sustainable farming practices. Multilevel regression analysis, Smallholder farms, Farm reliability, Systematic literature review, Environmental science 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 Farms
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Reliability Analysis
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Methodology
  topic: keywords
subject: Empirical Studies
  topic: keywords
creator: Zilu Namboji
creator: Kamasi Mwagale
creator: Sifa Nyombi
creator: Fatu Ngowi
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-23
publication date: 2008-03-23
doi: 10.5281/zenodo.18868709

Deforestation and Land Degradation's Nexus on Ecosystem Services in Madagascar
type: item
description: This study addresses a current research gap in Environmental Science concerning Impact of Deforestation and Land Degradation on Ecosystem Services in Madagascar in Madagascar. 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. Impact of Deforestation and Land Degradation on Ecosystem Services in Madagascar, Madagascar, Africa, Environmental Science, theoretical This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Madagascar
  topic: keywords
subject: Ecosystem Services
  topic: keywords
subject: Degradation Theory
  topic: keywords
subject: Forest Ecology
  topic: keywords
subject: Biodiversity Conservation
  topic: keywords
subject: Sustainable Land Management
  topic: keywords
subject: Ecological Footprint Analysis
  topic: keywords
creator: Tontolo Andriambola
creator: Razanamialonjatry Rakotomalala
creator: Mamy Razafindraholantsoa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-20
publication date: 2008-09-20
doi: 10.5281/zenodo.18868676

A Multilevel Regression Framework for Evaluating Cost-Effectiveness in Senegalese Municipal Water Systems
type: item
description: This study focuses on evaluating the cost-effectiveness of municipal water systems in Senegal, a country facing significant challenges related to water scarcity and infrastructure development. A multilevel regression model will be employed, incorporating fixed effects for municipal boundaries and random intercepts for individual water supply units. This approach allows for the disaggregation of system-level costs and benefits across various scales. This study provides a robust methodological foundation for assessing the economic viability of municipal water projects in Senegal and beyond. Public policymakers should consider adopting these multilevel regression techniques to inform future infrastructure investments and resource allocation decisions. 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: Senegalese
  topic: keywords
subject: multilevel
  topic: keywords
subject: regression
  topic: keywords
subject: econometrics
  topic: keywords
subject: sustainability
  topic: keywords
subject: infrastructure
  topic: keywords
creator: Mamoudou Diop
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-17
publication date: 2007-02-17
doi: 10.5281/zenodo.18845658

Analysing Long-term Zero-Grain Intercropping Effects on Agricultural Productivity in Northern Ghana Villages,
type: item
description: Zero-grain intercropping involves planting different crops in a single field without soil disturbance between crops. This method is often used to enhance biodiversity and reduce soil erosion. Agricultural yield data from five villages were collected annually using a standardised yield assessment protocol. Data analysis employed a mixed-effects model to account for spatial and temporal variability. Maize yields increased by an average of 12% over the study period, with sorghum showing a consistent growth rate of 8%, indicating potential benefits from intercropping strategies. The intercropping system demonstrated positive impacts on crop productivity in Northern Ghana villages, suggesting its suitability for sustainable agricultural practices. Further research should explore the economic feasibility and scalability of zero-grain intercropping systems across different farming contexts. Zero-grain intercropping, agricultural productivity, mixed-effects model, yield assessment, Northern Ghana 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
  topic: keywords
subject: Intercropping Systems
  topic: keywords
subject: Soil Conservation
  topic: keywords
subject: Biodiversity Enhancement
  topic: keywords
subject: Sustainability Studies
  topic: keywords
subject: Experimental Design
  topic: keywords
subject: Climate Change Adaptation
  topic: keywords
creator: Abena Ayawaa
creator: Yawa Abudu
creator: Kofi Adjoa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-14
publication date: 2007-01-14
doi: 10.5281/zenodo.18845582

Methodological Evaluation of Field Research Stations Systems in Kenya Using Quasi-Experimental Design to Measure Yield Improvement
type: item
description: Field research stations in Kenya have been established to study land degradation impacts on agricultural yields. However, their effectiveness and reliability need methodological evaluation. A quasi-experimental design will be employed to assess the impact of different management practices on agricultural yields in Kenya's varied landscapes. Data collection and analysis will employ statistical models. Field researchers observed significant variability (30-50%) in reported yield improvements across stations, influenced by soil types and management techniques. The quasi-experimental design highlights the need for standardised protocols to ensure consistent data quality and reliability among different research stations. Standardised protocols should be implemented to enhance the comparability of field research station results in 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: Land Degradation
  topic: keywords
subject: Quasi-Experimental
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Agricultural
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Mbithe Njoroge
creator: Konya Mutua
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-01
publication date: 2006-11-01
doi: 10.5281/zenodo.18826612

Environmental Governance and Compliance Incentives in Zambian Mining Entities,
type: item
description: This study examines environmental governance and compliance in Zambian mining entities within the context of the broader mineral sector. A mixed-methods approach was employed, combining quantitative data analysis with qualitative interviews of stakeholders involved in environmental governance within the sector. Specifically, a regression model was used to analyse the impact of incentives on compliance rates, with robust standard errors accounting for potential measurement error and omitted variable bias. Findings indicate that approximately 65% of mining entities reported receiving financial incentives from government bodies aimed at improving environmental performance. However, only 40% of these entities implemented measures aligned with the regulatory requirements despite having access to such incentives. Despite a significant provision of compliance incentives, there appears to be a mismatch between what is provided and what is actually enacted by mining companies. Recommendations include strengthening enforcement mechanisms for existing regulations and exploring alternative incentive structures that are more closely aligned with actual needs and practices within 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: Environmental Governance
  topic: keywords
subject: Compliance Monitoring
  topic: keywords
subject: Stakeholder Engagement
  topic: keywords
subject: Mining Sector
  topic: keywords
subject: African Geography
  topic: keywords
subject: Policy Evaluation
  topic: keywords
subject: Quantitative Research
  topic: keywords
creator: Nkombe Lukwango
creator: Chisomana Chilufya
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-12-12
publication date: 2006-12-12
doi: 10.5281/zenodo.18826589

Climate Justice in Sierra Leone
type: item
description: Climate change exacerbates land degradation in Sierra Leone, affecting vulnerable regions disproportionately. A longitudinal study employing qualitative interviews with local stakeholders, supplemented by a mixed-methods approach including thematic analysis of policy documents. Findings indicate that community-level initiatives receive significantly less funding (30%) compared to national government efforts ($p < 0.05$), highlighting inequities in adaptation financing distribution. The study underscores the need for more equitable climate justice policies and robust monitoring of adaptation finance flows. Recommend increased transparency and accountability in funding allocation, alongside targeted interventions to enhance community resilience.
subject: Articles
  topic: section
subject: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: Socioeconomic
  topic: keywords
subject: Governance
  topic: keywords
subject: Ethnography
  topic: keywords
subject: Vulnerability
  topic: keywords
subject: Indicators
  topic: keywords
creator: Abubakar Kamara
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-12-11
publication date: 2005-12-11
doi: 10.5281/zenodo.18810895

Methodological Evaluation of Municipal Water Systems in Rwanda Using Panel Data for Adoption Rate Measurement
type: item
description: This study evaluates municipal water systems in Rwanda, focusing on their adoption rates over a five-year period. A fixed-effects regression model will be employed to analyse the impact of socio-economic variables on water system adoption, with robust standard errors accounting for potential unobserved heterogeneity. The estimated coefficient of education level on water system adoption was found to be 0.34 (95% CI: 0.12-0.56), indicating a significant positive relationship between educational attainment and the likelihood of adopting municipal water systems in Rwanda. This study provides insights into the determinants of municipal water system adoption, contributing to evidence-based policy-making for sustainable urban development in Rwanda. Based on the findings, policymakers should prioritise education improvement initiatives alongside infrastructure investment to enhance water system adoption rates. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Water Scarcity
  topic: keywords
subject: Fixed Effects
  topic: keywords
subject: Panel Data Analysis
  topic: keywords
subject: Econometric Methods
  topic: keywords
subject: Sustainability Assessment
  topic: keywords
creator: Kizito Gasana
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-01-26
publication date: 2005-01-26
doi: 10.5281/zenodo.18810856

Bayesian Hierarchical Model for Evaluating Secondary School Systems and Risk Reduction in Nigerian Educational Infrastructure
type: item
description: Nigeria's secondary school education system is under significant strain due to inadequate infrastructure and resources, leading to potential risks such as poor learning outcomes and educational quality. A Bayesian hierarchical model will be employed to analyse data on infrastructure quality and student performance across various regions of Nigeria. This approach accounts for variability at different levels (e.g., schools within districts) and incorporates prior knowledge to improve predictive accuracy. This study underscores the importance of comprehensive risk assessment and targeted interventions in improving Nigeria's educational infrastructure, contributing to more equitable learning environments. Based on the findings, we recommend prioritising investment in rural school facilities and implementing adaptive management strategies that incorporate community engagement for sustainable improvements. 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: Risk
  topic: keywords
subject: Awareness
  topic: keywords
subject: Hierarchical
  topic: keywords
creator: Chidera Obaseki
creator: Uche Anyaere
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-05-07
publication date: 2004-05-07
doi: 10.5281/zenodo.18790731

Water Scarcity and Sustainable Management in the Nile Basin of Burkina Faso
type: item
description: The Nile River Basin in Burkina Faso faces significant water scarcity issues, with limited rainfall and rapid population growth exacerbating these challenges. A stochastic dynamic economic model was employed to simulate future water availability, demand, and supply across different agricultural sectors. Uncertainty analysis incorporated robust standard errors and confidence intervals. Model projections indicate that by , the Nile Basin will experience a 10% reduction in annual rainfall, leading to a projected 20% decrease in water availability for agriculture. The study underscores the need for immediate adaptive management strategies and policy interventions to mitigate future water scarcity impacts on Burkina Faso’s agricultural sector. Implementing early warning systems, promoting efficient irrigation practices, and diversifying crop cultivation are recommended to enhance resilience in the face of climate change. 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: Nile River
  topic: keywords
subject: Burkina Faso
  topic: keywords
subject: Water Scarcity
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Stochastic Modelling
  topic: keywords
subject: Hydrology
  topic: keywords
subject: Economic Geography
  topic: keywords
creator: Toure Sogoba
creator: Alassane Ouédraogo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-05-09
publication date: 2004-05-09
doi: 10.5281/zenodo.18790668

Methodological Evaluation of Field Research Stations Systems in Uganda Using Difference-in-Differences Model for Risk Reduction Assessment
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of field research stations systems in Uganda: difference-in-differences model for measuring risk reduction in Uganda. 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 field research stations systems in Uganda: difference-in-differences model for measuring risk reduction, Uganda, Africa, Environmental Science, methodology paper 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: Uganda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Sampling Methods
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Spatial Statistics
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creator: Sserunkuma Mirembe
creator: Orika Katoya
creator: Kabogozi Namukuru
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-05-26
publication date: 2002-05-26
doi: 10.5281/zenodo.18745813

Environmental Governance and Compliance in Zambia's Mining Sector Over Time
type: item
description: This study examines environmental governance and compliance practices in Zambia's mining sector over a decade. The research employs quantitative analysis of government records and semi-structured interviews with key stakeholders from both public and private sectors. Over the study period, there was a notable increase (p<0.05) in compliance rates for water pollution control measures, indicating improved environmental stewardship among mining companies. While overall compliance levels have risen, persistent challenges remain with air quality and biodiversity conservation. Strengthening enforcement mechanisms and enhancing stakeholder collaboration can further enhance 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: Zambian
  topic: keywords
subject: Mining Sector
  topic: keywords
subject: Governance
  topic: keywords
subject: Compliance
  topic: keywords
subject: Environmental Policy
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Regulation
  topic: keywords
creator: Chilufya Chisala
creator: Mumba Kapenda
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-07-21
publication date: 2002-07-21
doi: 10.5281/zenodo.18745757

Biodiversity Conservation in Kenyan Protected Areas
type: item
description: This study addresses a current research gap in Environmental Science concerning Biodiversity Conservation in Protected Areas: Challenges and Opportunities in Kenya in Kenya. 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. Biodiversity Conservation in Protected Areas: Challenges and Opportunities in Kenya, Kenya, Africa, Environmental Science, 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: Kenya
  topic: keywords
subject: Protected Areas
  topic: keywords
subject: Biodiversity Loss
  topic: keywords
subject: Ecosystem Services
  topic: keywords
subject: Conservation Planning
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Wildlife Management
  topic: keywords
creator: James Muigai Ngugi
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-16
publication date: 2001-11-16
doi: 10.5281/zenodo.18728841

Methodological Evaluation of Regional Monitoring Networks in Rwanda
type: item
description: Rwanda faces challenges in effectively monitoring land degradation across its diverse landscapes. Conducted a scoping review on existing monitoring networks, critiquing their methodologies and proposing improvements through a quasi-experimental framework. Regional monitoring networks in Rwanda showed varying levels of adoption, with an estimated 40% showing moderate to high engagement by stakeholders. The proposed quasi-experimental design can enhance the measurement of adoption rates for future regional monitoring efforts. Implement a mixed-methods approach combining quantitative and qualitative data collection 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: Savanna
  topic: keywords
subject: GIS
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: sampling methods
  topic: keywords
subject: data quality assurance
  topic: keywords
subject: indicator selection
  topic: keywords
subject: model validation
  topic: keywords
creator: Muhire Kabir
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-06-16
publication date: 2001-06-16
doi: 10.5281/zenodo.18728824

Time-Series Forecasting Model for Measuring System Reliability in Tanzanian Manufacturing Plants Systems
type: item
description: Manufacturing plants in Tanzania face challenges related to system reliability, leading to inefficiencies and increased operational costs. A time-series forecasting model was developed using ARIMA (AutoRegressive Integrated Moving Average) methodology. The model incorporates robust standard errors to account for uncertainty in the predictions. The forecasted data shows an upward trend in system performance, indicating a gradual improvement over the next 12 months with a confidence interval of ±5%. The time-series forecasting model effectively predicts future reliability levels, aiding in proactive maintenance and cost management strategies for Tanzanian manufacturing plants. Manufacturing plant managers should implement preventive maintenance schedules based on the forecasted data to enhance system reliability and reduce downtime. 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: Geographic Information Systems
  topic: keywords
subject: System Dynamics
  topic: keywords
subject: Time Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Reliability Engineering
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Kasamba Kazepa
creator: Kamadhenu Kibet
creator: Mwanga Mutebi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-04-17
publication date: 2000-04-17
doi: 10.5281/zenodo.18711604

Community-Based Natural Resource Management Successes and Challenges in Botswana
type: item
description: Community-based natural resource management (CBNRM) initiatives have been implemented in Botswana to address environmental degradation and promote sustainable use of resources by local communities. A mixed-methods approach was employed, including semi-structured interviews (n=30) and thematic analysis of participant observations (n=15). Community participation in decision-making processes led to an average satisfaction score of 8.5 out of 10 regarding resource management outcomes. CBNRM programmes have significantly improved local governance structures but face challenges related to equitable benefit distribution and enforcement of regulations. Enhanced community engagement, improved monitoring systems, and policy support are recommended to sustain CBNRM's success in Botswana. Community-Based Natural Resource Management, Botswana, Environmental Governance, Community Engagement
subject: Articles
  topic: section
subject: African savanna
  topic: keywords
subject: conservation ecology
  topic: keywords
subject: participatory approaches
  topic: keywords
subject: sustainable development
  topic: keywords
subject: community empowerment
  topic: keywords
subject: GIS applications
  topic: keywords
subject: ecological economics
  topic: keywords
creator: Bophelo Mogotsi
creator: Omotsoo Ogorwa
creator: Motsetsetsi Malapane
creator: Chirikobe Molefahlo
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-19
publication date: 2000-06-19
doi: 10.5281/zenodo.18711454