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Despite the importance of digital technology in mitigating the adverse effects of the COVID-19 pandemic and related containment measures, limited research attention has been devoted to the impact of movement restrictions on digital business transformation in North Africa. This paper investigates the impact of mobility restrictions on firms' decisions to adopt digital technologies across sectors, emphasizing the challenges associated with accessing both customers and suppliers.

The study uses the ERF COVID-19 MENA Monitor Enterprise survey (2021), covering 3,978 enterprises across three North African countries: Egypt, Tunisia and Morocco. The analysis employed the linear probability model (LPM) to account for observable and unobservable heterogeneity across countries and over time.

The results indicated that mobility restrictions have a positive impact on firms' decisions to adopt digital solutions during the COVID-19 pandemic across most industry sectors. Notably, firms operating in manufacturing, trade, retail and services demonstrated a higher likelihood to adopt technologies. However, the analysis revealed some variations in the impact of mobility restrictions across sectors and countries.

This study has several contributions. First, this study is unique in utilizing firm-level data gathered during the COVID-19 pandemic to investigate the impact of mobility restrictions on firms' decisions to adopt digital solutions. Second, the study examines the influence of mobility restrictions on digitalization across industry sectors, to the best of our knowledge, no empirical study has specifically focused on the digital business transformation across sectors.

This study aims to investigate the simultaneous impact of religion and modernity on attitude toward luxury consumption in Qatar, with emphasis on the mediating effect of self-construal. The authors propose the idea that self-construal is a significant mediator through which religion and modernity influence attitude toward luxury consumption.

The data for this study are sourced from a survey of 190 Qatari respondents. The conceptual model is estimated using both the covariance-based and the partial least squares structural equation modeling techniques for the purpose of robustness check.

The results indicate that religion has a positive and significant association with both independent and interdependent self-construal. The impact of modernity on independent self-construal is positive and significant, while its effect on interdependent self-construal is not significant, implying that modernity has no impact on individuals’ interdependence in the Gulf communities. Moreover, the results reveal that self-construal significantly mediates the effect of both religiosity and modernity on luxury consumption attitude, as expected.

The originality of this article lies in investigating the impact of religion and modernity on attitude toward luxury consumption through the self-construal paradigm. To the best of the authors' knowledge, this is the first study examining the simultaneous impact of religion and modernity in a Muslim community, from a self-construal perspective. Second, unlike the prior studies, this paper addresses the issue of non-normality in the data using the maximum likelihood robust estimator.

In light of the inequality in access to farming land and the high prevalence of child malnutrition in Sudan, there is a lack of empirical research on the relationship between land ownership and child nutritional status. This study aims to examine the influence of agricultural landholding on the nutritional status of children under the age of five in rural Sudan.

The study utilizes data from Sudan’s 2014 Multiple Indicator Cluster Survey (MICS), covering a sample of 10,753 rural children. The empirical analysis uses the two-stage least squares (2SLS) approach, adopting various estimation methods and model specifications for robustness check and comparison.

The results demonstrate that agricultural land has a positive and significant effect on reducing child malnutrition, signifying that children from families with agricultural land are less susceptible to malnutrition in Sudan. When examining the male and female sub-samples separately, the findings indicate a positive influence of land ownership on child malnutrition in the female sub-sample, while no significant impact is observed in the male sub-sample. This indicates a gender disparity in the effects of land ownership on child nutrition, with girls benefiting more from access to agricultural land compared to boys.

The study has several significant contributions. First, this is the sole study that examines the impact of agricultural land ownership on child malnutrition in Sudan. Second, considering the gender variations in nutritional status, investigating the influence of land ownership on child nutrition across genders addresses a significant gap in the current literature. Finally, the findings resulting from this study can contribute to achieving the United Nations Sustainable Development Goals (SDGs) to be achieved by 2030, precisely focusing on SDG2 Goal 2: Zero hunger and SDG 10: Goal 10: Reduced inequalities.

In the light of high reliance on digital technology to mitigate the consequences of the coronavirus disease 2019 (COVID-19) pandemic and its containment measures, this study investigates the factors influencing firms' decision to adopt digital technologies during COVID-19 in four Middle East and Northern African (MENA) countries, namely, Egypt, Jordan, Morocco and Tunisia.

The study used the International Labour Organization (ILO)/Economic Research Forum (ERF) COVID-19 - MENA Monitor Enterprise Survey (CMMENT), comprising 5,480 firms, surveyed during 2020–2021. The empirical model is estimated using the linear probability model (LPM) to address the problem of unobserved heterogeneity between firms, countries, and time.

The results revealed that firm characteristics, such as firm size and foreign ownership, encourage digital transformation in the business sector. Moreover, firms that face challenges during the pandemic, comply with the containment measures, and receive government assistance are more likely to adopt digital solutions. Furthermore, the results indicated that firms operating in services sector have a higher likelihood to adopt digital technology. Disaggregating the total sample into several sub-samples, the results are robust across countries and technology types, supporting the initial hypothesis that COVID-19 encourages digital transformation in the MENA region.

The study has numerous contributions. First, to the best of the authors' knowledge, this is the sole study that uses micro data collected during the COVID-19 to examine the factors influencing firms' decision to adopt and invest in digital solutions in the MENA countries. Second, the paper employs the LPM estimator to address the issue of unobserved heterogeneity between firms, countries and time. Finally, the paper offers some practical recommendations for accelerating digital transformation in MENA region.

Despite the importance of tax policy in reducing energy consumption and carbon emissions, there is a dearth of research on the environmental impact of indirect taxes. This paper examines the impact of indirect taxes on carbon dioxide (CO₂) emissions, with an emphasis on institutional quality.

The study uses the Government Revenue Dataset (2021), comprising 143 countries, dividing into 114 developing and 29 developed countries, during the period between 1996 and 2019. The author adopts panel data techniques, with Driscoll–Kraay standard errors to account for the issue of cross-sectional dependence (CSD).

The results indicate that indirect tax revenues have a negative and significant impact on CO₂ emissions for the total sample. The subsample analysis revealed that while indirect taxes reduce carbon emissions in developing countries, opposed results are reported for developed countries. This finding implies that most of the advanced countries have already reached a high level of taxes, at which carbon emissions increase as indirect tax increases further. Interestingly, the results revealed that institutional quality enhances the role of indirect taxes in mitigating carbon emissions for both developing and developed countries.

To the best of the authors' knowledge, this is the sole study using the newly developed tax data by the United Nations University, World Institute for Development Research (UNU-WIDER) to investigate the impact of indirect taxes on carbon emissions, with an emphasis on institutional quality. The existing literature focuses on specific taxes, like carbon taxes, with no comprehensive research on the link between indirect taxes and carbon emissions.

This paper examines the determinants of participation in non-farm activities in rural Sudan. It also investigates whether the factors that influence participation in non-farm activities vary across agriculture sub-sectors.

The study adopts the multinomial logit and probit methods on labour supply participation theory using the Sudanese National Baseline Household Survey (2009). The analysis was applied across job types and agriculture sub-sectors.

The results indicated that educational level, means of transportation, lack of land and access to formal agricultural credit are the most significant factors that push rural farmers to participate in non-farm activities. Surprisingly, the effect of household income was positive and significant, implying that individuals from rich households have higher opportunity to engage in non-farm activities compared to their poor counterparts. The results also revealed some variations in the factors that influence participation in non-farm activities according to the agricultural sub-sectors.

The originality of this article lies in investigating the factors that influence participation in non-farm activities across irrigated and rainfed systems. To the best of our knowledge, this is the first study identifying the determinants of participation in non-farm activities across agriculture sub-sectors. Therefore, the paper fills an important gap in the literature and helps in designing appropriate pro-poor policies to allocate infrastructures across irrigated and rainfed areas in Sudan.

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-02-2022-0092.

The purpose of this paper is to examine the direction of causality between government expenditure and economic growth in the Economic Community of West African States (ECOWAS) countries.

The study adopts the recently developed panel vector autoregressive (PVAR) by Love and Abrrigo (2015) and two-step system generalized method of moments (GMM) in order to resolve the inherent problems of endogeneity and persistence in economic data.

The results from the study show no evidence of either unidirectional or bidirectional causal relationship between government expenditure and economic growth in ECOWAS member countries.

Unlike previous studies that adopted cointegration technique, we adopt a system GMM through the application of a dynamic PVAR framework within the framework of panel data analysis in order to address the possibility of feedback effect in the causal relationship between government expenditure and economic growth. In addition the PVAR also allows us to model shocks across countries.

This study examines the impact of trade openness, human capital, public expenditure and institutional performance on unemployment in various income groups of Organization of Islamic Cooperation (OIC) countries.

Traditional panel data methodologies neglect the issue of cross-sectional dependence and provide ambiguous outcomes. A novel approach, “dynamic common correlated effects (DCCE)”, is utilized in this study to tackle with aforementioned issue. Pooled mean group (PMG) estimation is also applied to verify the robustness of the findings.

The long-run estimates show that trade openness has a significant and negative relationship with the unemployment rate in overall and lower-income OIC economies and a positive correlation with unemployment in higher-income OIC countries. Public expenditure is negatively and significantly correlated with unemployment in higher-income and overall OIC economies. Moreover, human capital reduces unemployment in higher-income and overall OIC countries while increases unemployment in lower-income OIC economies.

The research tends to endorse the argument for continuous trade openness policy along with efficient use of public expenditure and improved institutional performance to reduce unemployment in OIC countries.

The DCCE approach in this research considers heterogeneity and cross-sectional dependence between cross-sectional units and thus gives robust outcomes.

This paper investigates whether institutional environment influences the relationship government spending and economic growth in ECOWAS over the period 2008–2017.

The study adopts the recently developed panel vector autoregressive (PVAR) by Abrigo and Love (2015) and a two-step system generalised method of moment (GMM).

The results from the study show no evidence of either unidirectional or bidirectional causal relationship between government spending and economic growth in ECOWAS. Our findings reveal that government spending when associated with high level of corruption, oversized government and a waste of public resources will not cause economic growth.

Unlike previous studies, we resolve the inherent problems of endogeneity and persistence in economic data. Likewise, we depart from existing studies that examined the causal relationship in a bivariate framework and adopt a trivariate causality testing.

This paper investigates the key determinants affecting household spending for university degree in Vietnam. This paper serves as empirical evidence for policymakers to select appropriate factors to estimate financial needs for university students in Vietnam.

We employ an innovative variable selection approach with adaptive LASSO for Tobit Regression Model.

The results suggest income, region and ethnicity play significant roles in determining higher education expenditure at Vietnamese households. Gender-related indicators (such as gender of household head, student’s gender), distance to school, occupations, etc. are empirically insignificant.

This study proposes a data-driven method by interfering regulation and Tobit regression to understand the divergence in higher education spending. Especially, adaptive LASSO was first introduced to identify key determinants of higher education expenditure at household level in Vietnam. It hopes to tackle over-fitting problems of traditional OLS regression in previous literature.