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Gender Inequality, Employment, Workforce Participation on Economic Growth in Nigeria: An Econometric Analysis
Full text linkThis study investigates the dynamic effects of gender inequality in employment and workforce participation on economic growth in Nigeria from 1980 to 2024. Employing an Autoregressive Distributed Lag (ARDL) modelling framework, the analysis captures both short-run adjustments and long-run equilibrium relationships between economic growth and key dimensions of gender inequality, including employment (GIE), political participation (GIEPP), and health care access (GIHC). The empirical findings indicate a robust, statistically significant negative relationship between gender inequality in employment and economic growth in both the short- and long-run. Notably, a 10% increase in employment-related gender inequality is associated with a short-run reduction in economic growth of approximately 1.1% and a long-run reduction of approximately 5.49%, underscoring the considerable economic costs associated with the exclusion and underutilization of female labour. Conversely, the long-run estimates reveal positive, significant associations between economic growth and gender inequality in political participation and in health care. These counterintuitive results do not imply that inequality promotes growth; instead, they reflect structural distortions in Nigeria’s growth trajectory, in which aggregate expansion has historically coincided with entrenched institutional and socio-political exclusion. The findings indicate an extractive, non-inclusive growth pattern, with economic gains unequally distributed across gender groups. The study concludes that removing barriers to female employment and increasing women’s participation in productive economic activities are critical policy priorities for achieving sustainable, inclusive, and resilient economic growth in Nigeria
Prevalence of Substance Abuse among Undergraduate Students in Oyo State
Full text linkThe effect of substance abuse has extended beyond the abuser and the vulnerable, but it should include all aiders and abettors. Students who engage in substance abuse exhibit reduced academic performance, increased absenteeism, and a higher propensity to discontinue their education compared to their non-using counterparts. This study investigated prevalence of substance abuse among undergraduate students in Oyo State. This is a descriptive survey research that is anchored on social learning theory. The sample size consisted of 350 participants, 70 respondents were selected from 5 institutions by accidental sampling techniques with the use of standardised questionnaire. The finding showed that incidence of substance abuse is high among undergraduate students in Oyo State (3.2%). The result indicated that there is gender disparity in substance abuse; male students (54.7%) engaged in substance abuse more than their female (45.3%) colleagues. Finally, substance abuse increases drastically in final year among undergraduate students (47.5%). Therefore, it is recommended that there is a need to psycho-educate students on campus about the danger, disadvantages and implication of substance abuse on their behavior, relationship, psychological wellbeing, and mental health. Only medical doctor should prescribe drugs to students. Over-the-counter prescription must be de-legalised. Disciplinary committee must be set up to punished the offenders
Management Information System And Managerial Decision Making In Enugu State Ministry Of Education
Full text linkThis study investigated the role of Management Information Systems (MIS) in enhancing managerial decision-making within the Enugu State Ministry of Education. Specifically, the study assessed the extent of MIS implementation, evaluated its impact on decision quality, and identified challenges hindering effective adoption. A descriptive survey design was employed, targeting 450 managerial and administrative staff, with a sample size of 212 respondents selected using Taro Yamane’s formula and stratified random sampling. Data were collected through a structured questionnaire and analyzed using SPSS, employing both descriptive and inferential statistics, including correlation and regression analysis. Findings revealed that MIS is moderately to highly implemented in the Ministry and significantly improves managerial decision-making by enhancing accuracy, efficiency, and evidence-based planning. However, challenges such as inadequate ICT infrastructure, inconsistent data updating, and limited staff training constrain full utilization. The study concludes that effective adoption and integration of MIS are crucial for improving administrative efficiency, resource allocation, and policy formulation. Recommendations include expanding MIS integration across all departments and providing regular training to staff for optimal use of MIS tools
Public-Private Partnership In Social Innovation And Policy Development In Obinofia Community In Ezeagu Local Government Area, Enugu State, Nigeria
Full text linkThis study examined the role of Public-Private Partnerships (PPPs) in social innovation and policy development in Obinofia Community, Ezeagu Local Government Area, Enugu State, Nigeria. Precisely, it investigated partnerships with socio-economic sectors in road infrastructure and discovered the drivers, benefits, and obstacles of local PPPs. A descriptive design was adopted, and data were collected using structured questionnaires, which were analyzed with weighted mean and standard deviation. Findings revealed that socio-economic sectors are acknowledged for providing resources, while structural challenges remain a major limitation. However, active participation and strong collaboration between the government and local actors were perceived as weak. The study further showed that PPPs bring significant benefits, including improved service delivery and expanded economic opportunities, and that local actors are motivated by profit, social impact, and sustainability. The study suggests that legal and institutional frameworks, alongside strategies like stronger policies, transparency, and community engagement, were the mechanisms identified as critical for success. The study concludes that PPPs hold substantial promise for sustainable development in Obinofia if challenges are addressed through comprehensive governance and effective policy frameworks
Assessing the Differences between Doctors and Nurses on Burnout Dimensions
Full text linkThis study assessed differences between doctors and nurses on job burnout. A sample of two hundred and forty-five healthcare professionals participated in the study. Comparative research design and t-test statistics were used for the study. Burnout was assessed using Maslach Burnout Inventory (MBI). Results showed that nurses reported significantly higher in the three dimensions of burnout than doctors on emotional exhaustion, depersonalization, and feelings of personal accomplishment. These findings provided evidence for an elevated risk of burnout for nurses compared to doctors. The stud recommended developing framework that will help reduce the incidence of burnout in Nigeria health institutions. It also suggested the need for further investigation to understand the causes of this difference and potential interventions to reduce the occupational stressors of nurse
Machine Learning Models for Municipal Solid Waste Generation Forecasting: Models, Predictors, Performance, and Future Directions
Full text linkThis work addresses the critical research gap of unreliable waste predictions amid rapid urbanization, socioeconomic variability, and external shocks that traditional statistical methods cannot adequately handle by synthesizing studies on machine learning (ML) applications for Municipal Solid Waste (MSW) generation forecasting. Narrowly scoped to quantity (and related composition) forecasting, the review excludes broader waste management aspects such as routing, classification, or lifecycle processes. Its novelty lies in the focused, prediction-centric synthesis that benchmarks models, predictors, and performance metrics while highlighting underrepresented eXplainable Artificial Intelligence (XAI) applications and cross-regional insights. A pre-supplied corpus was filtered using strict inclusion criteria (ML-based empirical forecasting with reported performance metrics) and exclusion criteria (pre-2022 publications or non-forecasting studies), with data extracted on publication trends, geography, waste types, models, predictors, and metrics, then synthesized through narrative review and quantitative summaries. Results show a publication surge peaking in 2025, Asia-dominant research (~60%), MSW focus (~80%), tree-based ensembles (~40%, e.g., XGBoost with R² 0.88–0.95), deep learning (~30%, LSTM R² >0.90 for time-series), and socioeconomic predictors (~60%). While performance benchmarks indicate high accuracy, gaps persist in data scarcity, regional bias, low XAI adoption (~15–20%), and limited transferability. These findings underscore ML’s potential to support SDG-aligned waste optimization, with future directions emphasizing hybrid-IoT frameworks, federated learning, and expanded XAI for more equitable, transparent, and actionable global waste forecasting tools
Rural-Urban Migration and Economic Development In Rural Communities Of Enugu State Nigeria.
Full text linkThe study examined the rural-urban migration and economic development in Rural Communities of Enugu State Nigeria. Specifically, the study sought to: investigate the influence of rural-urban migration on agricultural production and handicraft business in Rural Communities of Enugu State Nigeria. Research design of the study was questionnaire survey research. The sample size of 364 respondents was drawn from population of the study which consists of 521,486 indigenes of three selected Local Government Area of Enugu State Nigeria. The data analytical technique was single regression. The empirical results show that rural-urban migration has negative influence on agricultural production in Rural Communities of Enugu State Nigeria (t – statistics ; -8.312 ; P-values (0.000; < Sig-value 0.05) and rural-urban migration has negative significant influence on handicraft business in Rural Communities of Enugu State Nigeria (t – statistics ; -5.491; P-values (0.000; < Sig-value 0.05). The study concluded that there was negative and significant influence of rural-urban migration on economic development in Rural Communities of Enugu State Nigeria. The study recommended that government of Enugu State should strive to provide social amenities and facilities in the rural areas. More generally, government should invest in education and access to technology and social infrastructure in rural areas so that the rural residents can enjoy the same facilities as city dwellers
Extravagant Lifestyle and Personality Traits as Predictors of Workplace Deviant Behaviour among Lagos University Teaching Hospital Staff.
Full text linkWorkplace deviant behaviour, including theft, fraud, aggression, sexual harassment, and intentional withdrawal of effort, poses serious challenges for organizational productivity and institutional integrity. This study examined the predictive roles of extravagant lifestyle orientation and personality traits in explaining workplace deviant behaviour among employees of Lagos University Teaching Hospital (LUTH), Nigeria. A cross-sectional survey design was employed. Participants consisted of 190 male and female employees of LUTH selected through a convenience sampling procedure. Data were collected using standardized questionnaires measuring extravagant lifestyle, the Big Five personality traits, and workplace deviant behaviour. Statistical analyses were conducted using descriptive statistics, independent samples t-tests, and multiple regression analysis. Results revealed that extravagant lifestyle significantly predicted workplace deviant behaviour, F(1,188) = 12.50, R² = .062, p < .05, accounting for approximately 6% of the variance. Personality traits also demonstrated a significant joint influence on workplace deviance, F (5,184) = 6.54, R² = .151, p < .05. Specifically, extraversion (β = −.26), agreeableness (β = .19), and openness to experience (β = .31) were significant predictors, whereas conscientiousness and neuroticism were not. Gender differences in workplace deviance were not statistically significant. The findings highlight the importance of incorporating personality assessment and behavioural risk screening into recruitment, employee development, and organizational ethics programs within healthcare institutions. This study contributes to the limited empirical literature on workplace deviance within African healthcare contexts by demonstrating how lifestyle orientation and personality traits interact to influence deviant workplace behaviour among hospital staff
Unconventional Monetary Policy Tools and Macroeconomic Stability during Economic Shocks in Nigeria
Full text linkThis study aims to evaluate the unconventional monetary policy tools and macroeconomic stability during economic shocks in Nigeria. The study was guided by three research questions. The research design employed was ex post facto research design. Secondary data was used which was collected from International Monetary Fund (IMF), National Bureau of Statistics (NBS), Economic Data GDP and World bank websites. Multiple regression analysis was employed by the study using E-view software. The result indicates that the quantitative easing has a positive coefficient of 0.856 which means that as the unconventional monetary policy interventions are on the rise, the economic growth rate is likely to go up. The result also shows that the positive coefficient of quantitative easing is 3.941 that implies, as QE increases, there is a tremendous increase in the rate of inflation. Also, the finding reveals that the coefficient of quantitative easing is negative at -0.654 implying that the higher the level of unconventional interventions by the monetary policy, the lower the level of unemployment. In conclusion the results indicated that quantitative easing has a positive impact on the economic growth and important in decreasing unemployment but also plays a role in increasing inflation. As such, liquidity injections should be administered carefully by the policymakers to strike a balance between economic stimulation and price stability and sustainable macroeconomic performance. The study therefore recommends that the Central Bank of Nigeria needs to be keen to manage how it adopts the quantitative easing to avoid the situation of injecting liquidity in the economy and causing too much inflationary pressure in the economy
IoT-Enabled Waste Management Solutions: A Cross-System Analysis for Sustainable
Full text linkThe global solid waste crisis, projected to reach 3.88 billion tons annually by 2050, requires efficient, scalable, and inclusive management solutions. Traditional systems are inefficient, costly, and environmentally harmful, while IoT-enabled approaches offer real-time monitoring, predictive analytics, and optimized routing—yet they remain predominantly urban-focused, with rural and low-resource areas underserved and lacking direct comparative studies. This research bridges this gap through a systematic cross-system analysis of recent publications, synthesizing IoT technologies (sensors, LoRaWAN/NB-IoT, AI integration), urban and rural applications, pilots, efficiency outcomes, costs, sustainability impacts, and barriers. Findings show urban systems deliver 30–40% efficiency gains, reduced emissions, and enhanced recycling via dense networks and smart city integration, while rural adaptations (solar-powered bins, edge computing) achieve only 15–25% improvements due to connectivity gaps, power limitations, and scalability issues. The study’s novelty is the proposed hybrid model architecture, which integrates urban AI sophistication (predictive analytics, blockchain security) with rural resilience features (solar energy, edge processing, context-aware switching) to enable adaptive performance across contexts. This unified framework demonstrates potential for 25–35% overall efficiency gains, stronger data security, and equitable adoption through modular, low-cost designs and community interfaces. Outcomes indicate significant potential to reduce landfill emissions, advance circular economy principles, and support SDGs 11 and 12, provided future efforts prioritize rural field trials, policy incentives, and advanced AI integration for truly inclusive, sustainable waste management worldwide