Nonlinear effects of public debt on economic growth in Nigeria.

The COVID-19 pandemic induced governments all over the world to momentarily accumulate higher levels of public debt in order to invest in deficit spending and social protection programs to tackle the anticipated economic slump. The Nigerian government has borrowed heavily from domestic and foreign sources in order to resolve the growing budget deficits and return the economy to a sustainable growth trajectory. Previous studies frequently made the incorrect assumption that the relationship between public debt and growth is linear and symmetric, leading to empirical results that is frequently disputed and imprecise. This study's main objective is to examine the asymmetric impact of public debt on economic growth in Nigeria from 1980 to 2020 using the Nonlinear Autoregressive Distributed Lag method. Empirical evidence indicated that external debt have a significant positive and symmetric impact on economic growth in the long and short run, while debt service payment supporting the debt overhang hypothesis activated a symmetric effect that stifle growth. Domestic debt retarded growth asymmetrically in the short term and linearly over the long term. Foreign reserve holding, on the other hand, had an asymmetric long-run influence and a symmetric short-run impact on growth motivation. To mitigate the negative effects of unsustainable public debt, the study advocated for fiscal reforms that effectively reduce deficit financing to keep the level of government debt low and be able to respond robustly to an economic shock, improve domestic revenue generation and infrastructure spending, and strengthen governance practices and institutions.

Transport, Mobility and the Wellbeing of Older Adults: An Exploration of Private Chauffeuring and Companionship Services in Malaysia.

As physical abilities and health decline with age, older adults tend to lose their driving abilities, which affects their mobility. As mobility is important to older adults' wellbeing, there is a need to explore alternative modes of transportation to increase their ability to actively participate in society. Hence, this paper aims to understand the characteristics of private chauffeuring and companionship services for older adults, and to assess their possible effects on older adults' wellbeing. We gathered the views of transport operators, government agencies, and city councils that offer private chauffeuring and companionship services for older adults. We frame the model of private chauffeuring and companionship services as alternative mobility for older adults and outline a conceptual framework for its possible effects on their wellbeing. The underlying mobility characteristics were availability, accessibility, safety, and affordability-all of which influence wellbeing. The study found that the private chauffeuring and companionship model for older adults includes an additional model of government-to-consumer services in addition to the existing peer-to-peer and business-to-consumer services. While the services are available, the services provided are not standardized, with different operators offering different services and prices, and limiting certain geographical areas. Transport operators perceived that the services they offer promote older adults' physical and mental health, improve their social participation in the community, and empower them in making their travel decisions. The findings of the paper provide insights for policy makers for future planning of alternative transportation for older adults to enhance their mobility.

COVID-19 and sustainable development goals: A bibliometric analysis and SWOT analysis in Malaysian context.

The COVID-19 crisis has been a core threat to the lives of billions of individuals over the world. The COVID-19 crisis has influenced governments' aims to meet UN Sustainable Development Goals (SDGs); leading to exceptional conditions of fragility, poverty, job loss, and hunger all over the world. This study aims to investigate the current studies that concentrate on the COVID-19 crisis and its implications on SDGs using a bibliometric analysis approach. The study also deployed the Strengths, Weaknesses, Opportunities, and Threats (SWOT) approach to perform a systematic analysis of the SDGs, with an emphasis on the COVID-19 crisis impact on Malaysia. The results of the study indicated the unprecedented obstacles faced by countries to meet the UN's SDGs in terms of implementation, coordination, trade-off decisions, and regional issues. The study also stressed the impact of COVID-19 on the implementation of the SDGs focusing on the income, education, and health aspects. The outcomes highlighted the emerging opportunities of the crisis that include an improvement in the health sector, the adoption of online modes in education, the swift digital transformation, and the global focus on environmental issues. Our study demonstrated that, in the post-crisis time, the ratio of citizens in poverty could grow up more than the current national stated values. We stressed the need to design an international agreement to reconsider the implementation of SDGs, among which, are strategic schemes to identify vital and appropriate policies.

Dataset of Child schooling/ Out-of-school children in households in Kwara State, Nigeria.

This article presents data from the survey of 1120 households across the three senatorial districts in Kwara State, Nigeria, in 2022. The data has information on the head of households, individuals in the households, household demographic characteristics, community characteristics, education, household head employment status, and the standard of living. The questionnaire includes both open-ended and close-ended questions. The data is available in excel, and the coding explanation/ interpretation is presentable in a table. This data is important for studies on child schooling enrollment, education attainment, and studies of United Nations Sustainable Development Goals, precisely goal four (UNSDG4).

What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology.

Social media users share a variety of information and experiences and create Electronic Word of Mouth (eWOM) in the form of positive or negative opinions to communicate with others. In the context of the COVID-19 outbreak, eWOM has been an effective tool for knowledge sharing and decision making. This research aims to reveal what factors of eWOM can influence travelers' trust in their decision-making to travel during the COVID-19 outbreak. In addition, we aim to find the relationships between trust in eWOM and perceived risk, and perceived risk and the decision to travel. These relationships are investigated based on online customers' reviews in TripAdvisor's COVID-19 forums. We use a two-stage data analysis which includes cluster analysis and structural equation modeling. In the first stage, a questionnaire survey was designed and the data was collected from 1546 respondents by referring to the COVID-19 forums on TripAdvisor. Specifically, we use k-means to segment the users' data into different groups. In the second stage, Structural Equation Modeling (SEM) was performed to inspect the relations between the variables in the hypothesized research model using a subsample of 679 respondents. The results of the first stage of the analysis showed that three segments could be discovered from the collected data for trust based on eWOM source and eWOM message attributes. These segments clearly showed that there are significant relationships between trust and perceived risk, and between perceived risk and the decision to travel. The results in all segments showed that users with a low level of trust have a high level of perceived risk and a low level of intention to travel during the COVID-19 outbreak. In addition, it was found that users with a high level of e-trust have a low level of perceived risk and a high level of intention to travel. These results were confirmed in all segments and these relationships were confirmed by SEM. The results of SEM revealed that visual and external information moderated the relationship between eWOM length and trust, and experience moderated the relationship between trust and perceived risk. For the moderating role of gender, it was found that the perceived risk has a higher impact on the decision to travel in the female sample.

Customer satisfaction with Restaurants Service Quality during COVID-19 outbreak: A two-stage methodology.

Online reviews have been used effectively to understand customers' satisfaction and preferences. COVID-19 crisis has significantly impacted customers' satisfaction in several sectors such as tourism and hospitality. Although several research studies have been carried out to analyze consumers' satisfaction using survey-based methodologies, consumers' satisfaction has not been well explored in the event of the COVID-19 crisis, especially using available data in social network sites. In this research, we aim to explore consumers' satisfaction and preferences of restaurants' services during the COVID-19 crisis. Furthermore, we investigate the moderating impact of COVID-19 safety precautions on restaurants' quality dimensions and satisfaction. We applied a new approach to achieve the objectives of this research. We first developed a hybrid approach using clustering, supervised learning, and text mining techniques. Learning Vector Quantization (LVQ) was used to cluster customers' preferences. To predict travelers' preferences, decision trees were applied to each segment of LVQ. We used a text mining technique; Latent Dirichlet Allocation (LDA), for textual data analysis to discover the satisfaction criteria from online customers' reviews. After analyzing the data using machine learning techniques, a theoretical model was developed to inspect the relationships between the restaurants' quality factors and customers' satisfaction. In this stage, Partial Least Squares (PLS) technique was employed. We evaluated the proposed approach using a dataset collected from the TripAdvisor platform. The outcomes of the two-stage methodology were discussed and future research directions were suggested according to the limitations of this study.

Growth and Fiscal Effects of Insecurity on the Nigerian Economy.

In spite of government counter-terrorism expenditure and efforts, the prevalence of insecurity in Nigeria appears to be rising and fast evolving into an existential crisis that is shaking the foundation of its nationhood. The current study used annual time-series data from 1980 to 2019 and the ARDL methodology to analyse the fiscal and socio-economic consequences of insecurity on economic growth in Nigeria. The empirical findings demonstrated that high unemployment rate, domestic capital formation, foreign direct investment, government spending on education and security are negatively affected by the growing level of insecurity and consequently retarded growth in the long and short run. Conversely, improved health services, equitable income distribution and productive use of public borrowing were positively correlated with security and, therefore, stimulated growth in the long and short run. Government revenue and inflation rate accelerated growth in the long run whereas their short-run effect was deleterious. The findings suggest that good governance, provision of a safe and secured environment for human capital development and businesses, improved access to social and economic services will curb violent tendencies, create jobs, reduce poverty, increase government revenue and engender long-term inclusive growth.

Malgré les dépenses et les efforts du gouvernement en matière de lutte contre le terrorisme, la prévalence de l'insécurité au Nigéria semble augmenter et évoluer rapidement vers une crise existentielle qui ébranle les fondements même de son identité nationale. Cette étude a utilisé des données de séries chronologiques annuelles de 1980 à 2019 et a analysé, à l'aide de la méthode ARDL, les conséquences fiscales et socio-économiques de l'insécurité sur la croissance économique au Nigeria. Les résultats empiriques ont démontré que le niveau croissant d'insécurité a un impact négatif sur le taux de chômage, qui est élevé, sur la formation de capital intérieur, l'investissement direct étranger, les dépenses publiques en matière d'éducation et de sécurité. Par conséquent, cela ralentit la croissance à long et à court terme. À l'inverse, l'amélioration des services de santé, la répartition équitable des revenus et l'utilisation productive des emprunts publics étaient des facteurs positivement corrélés à la sécurité et qui ont ainsi stimulé la croissance à long et à court terme. Les recettes publiques et le taux d'inflation ont accéléré la croissance à long terme alors que leur effet à court terme était délétère. Les résultats suggèrent qu'une bonne gouvernance, l 'existence d'un environnement sûr et sécurisé pour le développement du capital humain et des entreprises, un meilleur accès aux services sociaux et économiques pourront freiner les tendances violentes, créer des emplois, réduire la pauvreté, augmenter les recettes publiques et engendrer une croissance inclusive à long terme.

The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education.

To avoid the spread of the COVID-19 crisis, many countries worldwide have temporarily shut down their academic organizations. National and international closures affect over 91% of the education community of the world. E-learning is the only effective manner for educational institutions to coordinate the learning process during the global lockdown and quarantine period. Many educational institutions have instructed their students through remote learning technologies to face the effect of local closures and promote the continuity of the education process. This study examines the expected benefits of e-learning during the COVID-19 pandemic by providing a new model to investigate this issue using a survey collected from the students at Imam Abdulrahman Bin Faisal University. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed on 179 useable responses. This study applied Push-Pull-Mooring theory and examined how push, pull, and mooring variables impact learners to switch to virtual and remote educational laboratories. The Protection Motivation theory was employed to explain how the potential health risk and environmental threat can influence the expected benefits from e-learning services. The findings revealed that the push factor (environmental threat) is significantly related to perceived benefits. The pull factors (e-learning motivation, perceived information sharing, and social distancing) significantly impact learners' benefits. The mooring factor, namely perceived security, significantly impacts learners' benefits.