Research in Globalization最新文献

{"title":"Delving the influence of socio-economic, demographic and migration factors on utilization of remittances in the agricultural sector in a high out-migrating region in India","authors":"Samrat Sarkar,&nbsp;Reshmi R.S.","doi":"10.1016/j.resglo.2024.100235","DOIUrl":"https://doi.org/10.1016/j.resglo.2024.100235","url":null,"abstract":"<div><p>In developing nations, remittances play a vital role in the development of the society. Remittances serve as a substantial income stream for rural households, empowering them to invest in farming activities, procure resources, and enhance their overall quality of life. This study focuses on investigating remittance utilization patterns in agriculture and how do socio-economic, demographic and migration factors influence remittance utilization patterns in agriculture in the Middle Ganga Plain region (Eastern Uttar Pradesh and Bihar) of India? The study utilizes the data from the Middle Ganga Plain (MGP) migration survey (2021) conducted by the International Institute for Population Sciences, Mumbai. With the help of bivariate analysis, the study explores the relationship between socioeconomic and migration characteristics and the utilization of remittances in the agricultural sector. The Chi-Square test validates the findings, followed by a Binomial Logistic Regression Model for further analysis. The study reveals that marginalized social groups are more inclined to use remittances for agriculture due to their active involvement in agriculture. Furthermore, households with larger landholdings demonstrate an increased likelihood of remittance utilization across all agricultural sectors. Additionally, it was observed that remittances in agriculture were more prevalent among female-headed households. Moreover, parents who are recipients of remittances tend to allocate their funds to agricultural activities. The significant positive correlation between monthly remittance receivers and total agricultural expenses underscores the importance of remittances in rural development. This study provides valuable insights into remittance utilization patterns and associated factors in the agricultural sector, highlighting the need for targeted policies and interventions to enhance the efficient and effective use of remittances in agriculture, ultimately contributing to rural economic growth and development.</p></div>","PeriodicalId":34321,"journal":{"name":"Research in Globalization","volume":"9 ","pages":"Article 100235"},"PeriodicalIF":0.0,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590051X24000443/pdfft?md5=917b9a179d92af4333fde2d0fc129bda&pid=1-s2.0-S2590051X24000443-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141484754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Kenya’s macroeconomic policies and trade efficiency within the East African Community: A stochastic frontier analysis","authors":"Anthony Njoroge Muriu ,&nbsp;Paul Mugambi Joshua ,&nbsp;Moses Mutharime Mwito","doi":"10.1016/j.resglo.2024.100233","DOIUrl":"https://doi.org/10.1016/j.resglo.2024.100233","url":null,"abstract":"<div><p>Despite Kenya dominating trade volumes in the East African Community (EAC), it has been trading below its potential within the region. This is also in spite of the increased scope of the country’s trade opportunities resulting from the region’s increased market integration. Empirical evidence has shown that macroeconomic policies influence international trade flows. However, there is limited empirical evidence on the effect of macroeconomic policies on trade efficiency. The few existing studies on this topic have also used estimation techniques that depict efficiency as being drawn from an average level of trade and not the optimal level of trade, as well as also not separating the effects of inefficiencies from the statistical noises. This, therefore, creates a knowledge gap that this study aims at investigating by using the stochastic frontier gravity model (SFGM), to determine the effect of Kenya’s macroeconomic policies on its trade efficiency within the EAC. The study used annual panel secondary data for the period 2000 to 2021. This study finds that the GDP of Kenya and that of its EAC trading partners, the geographical distance and border significantly affects trade volume. It also finds that globalization plays a significant role in influencing Kenya’s trade. For the inefficiency model variables, exchange rate depreciation was found to significantly increase trade efficiency, while increase in tariff rate had an adverse and significant effect. Further, the study included corruption as a control variable and found that it significantly increases trade inefficiency. Kenya, though trading at an average efficiency level of 86.91 percent, was found to have high unexploited trade potentials within the region especially with Tanzania and Uganda. The study recommends that Kenya’s policymakers deliberately advance the macroeconomic policies that promote trade efficiency while at the same time closely monitor the ones that hinder efficiency.</p></div>","PeriodicalId":34321,"journal":{"name":"Research in Globalization","volume":"9 ","pages":"Article 100233"},"PeriodicalIF":0.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590051X2400042X/pdfft?md5=58f654fc4d90b987afb4ddef5a88afa2&pid=1-s2.0-S2590051X2400042X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141484755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global determinants of methane emissions in OECD countries: A dynamic panel approach","authors":"Jana Chovancová ,&nbsp;Manuel A. Zambrano-Monserrate ,&nbsp;Brahim Bergougui ,&nbsp;Isaac Ahakwa ,&nbsp;Mehmet Metin Dam","doi":"10.1016/j.resglo.2024.100232","DOIUrl":"https://doi.org/10.1016/j.resglo.2024.100232","url":null,"abstract":"<div><p>Methane (CH4), an often-overlooked greenhouse gas (GHG), has a significant impact on the environment. Although it receives less attention than carbon dioxide (CO2), it is the second most important GHG in terms of its ability to trap heat in the atmosphere. Few studies have analyzed the determinants of CH4 emissions, especially those from the energy sector. Therefore, this study provides relevant information on the impact of GDP, primary and renewable energy consumption, human development index and trade openness on methane emissions in OECD countries. Using advanced cointegration approaches, we find that GDP and primary energy consumption increase CH4 emissions, while renewable energy consumption and human development mitigate their growth. However, the impact of these variables varied over time. No significant effect of trade openness on methane emissions was found. We recommend specific policies for OECD countries to reduce methane emissions, especially for the most polluting countries. Governments should promote renewable energy sources (solar, wind, hydro) to reduce reliance on fossil fuels, thereby minimizing methane leakage during extraction and transport. In addition, investing in human development can promote sustainable behaviors and further reduce emissions, addressing both environmental and social concerns.</p></div>","PeriodicalId":34321,"journal":{"name":"Research in Globalization","volume":"9 ","pages":"Article 100232"},"PeriodicalIF":0.0,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590051X24000418/pdfft?md5=9266265687320f023ec1ef4dcd9e26b7&pid=1-s2.0-S2590051X24000418-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141303125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence and skilled employment in South Africa: Exploring key variables","authors":"Fiyinfoluwa Giwa,&nbsp;Nicholas Ngepah","doi":"10.1016/j.resglo.2024.100231","DOIUrl":"https://doi.org/10.1016/j.resglo.2024.100231","url":null,"abstract":"<div><p>The discourse surrounding artificial intelligence (AI) and its repercussions on skilled employment merits careful consideration. While AI technologies have the potential to result in job displacement within specific sectors, they concurrently usher in new employment opportunities, especially for individuals possessing advanced skills. The primary objective of this paper is to thoroughly evaluate the impact of AI on skilled employment within the South African economy. To achieve this objective, the study employs the Autoregressive Distributed Lag (ARDL) model and Granger causality analysis, spanning from 2012Q1 to 2021Q4. The results derived from the ARDL estimation reveal a substantial and positive contribution of artificial intelligence to skilled employment in South Africa, a trend observed in both the long and short run. However, two structural breaks were identified in the data, hence a re-estimation of the ARDL model. The re-estimated ARDL model revealed a negative and significant relationship between AI and skilled employment. In light of these findings, this study advocates implementing regulations and labor market policies that promote the responsible deployment of AI technology while safeguarding workers’ rights and job security. This could include establishing guidelines for AI deployment in the workplace, ensuring transparency and accountability in AI systems, and implementing social safety nets to support workers during job transitions.</p></div>","PeriodicalId":34321,"journal":{"name":"Research in Globalization","volume":"8 ","pages":"Article 100231"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590051X24000406/pdfft?md5=c6090f90bff81d51cd067e8e0078786a&pid=1-s2.0-S2590051X24000406-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141285984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Education and economic growth in Sub-Saharan African Countries: Does governance quality Matter?","authors":"Nicholas M. Odhiambo","doi":"10.1016/j.resglo.2024.100227","DOIUrl":"10.1016/j.resglo.2024.100227","url":null,"abstract":"<div><p>This paper examines the dynamic relationship between education, governance and economic growth in 28 sub-Saharan African (SSA) countries from 2002 to 2018 using the generalized method of moments (GMM) approach. The study first examines the effect of education on economic growth and, thereafter, examines the modulating effect of governance quality on the nexus between education and economic growth. Two proxies of education, namely primary and secondary education, and five proxies of governance quality, namely a) corruption control, b) government effectiveness, c) regulations, d) rule of law, and e) voice and accountability, have been used to examine this linkage. Overall, the study found that the impact of education on economic growth is largely insignificant in all the specifications, with the exception of secondary education, which has an unconditional positive effect on economic growth in one of the five specifications of governance quality (i.e., regulatory quality). The study also found that, although governance quality spurs economic growth in seven of the ten specifications, it interacts with education to foster growth in only one specification (i.e., regulatory quality in the case of secondary education). When primary education specifications are considered, governance does not interact with education to spur economic growth in any of the specifications. These findings, though contrary to some of the previous studies, are not surprising given the primary and secondary education landscape in some SSA countries. According to UNESCO, SSA has the highest rates of education exclusion in the world.</p></div>","PeriodicalId":34321,"journal":{"name":"Research in Globalization","volume":"8 ","pages":"Article 100227"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590051X24000364/pdfft?md5=3e5d0708a96ca64e12be2221074d5e7c&pid=1-s2.0-S2590051X24000364-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141143385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of the socioeconomic impact of COVID-19 in Rwanda: Findings from a country-wide community survey, preliminary analysis to inform further global research","authors":"Annie Uwimana ,&nbsp;Liberata Mukamana ,&nbsp;Charles Ruranga ,&nbsp;Joseph Nzabanita ,&nbsp;Stefan Jansen ,&nbsp;Emmanuel Masabo ,&nbsp;Ignace Kabano ,&nbsp;Semuto Ngabonziza Jean Claude ,&nbsp;Jolly Rubagiza ,&nbsp;Jean Nepo Utumatwishima Abdallah ,&nbsp;Regine Mugeni ,&nbsp;Aurore Nishimwe ,&nbsp;Elias Mutezimana ,&nbsp;Laurence Twizeyimana ,&nbsp;Odile Bahati ,&nbsp;Viviane Akili ,&nbsp;Clarisse Musanabaganwa ,&nbsp;Gilbert Rukundo ,&nbsp;Muhammed Semakula ,&nbsp;Marc Twagirumukiza","doi":"10.1016/j.resglo.2024.100230","DOIUrl":"https://doi.org/10.1016/j.resglo.2024.100230","url":null,"abstract":"<div><h3>Rationale</h3><p>The COVID-19 pandemic along with its devastating impact on human lives has disrupted the socioeconomic situation worldwide. Rwanda has adopted lockdowns and other measures to prevent the spread of the COVID-19 pandemic. Recent studies documented the macro-level socio-economic pandemic impact but the impact on a household’s daily life has been scarcely documented especially in low-and-middle-income countries.</p></div><div><h3>Objective</h3><p>This work describes the interplay between multiple factors to assess the socio-economic impact of COVID-19 on the Rwandan population at the micro-level (household).</p></div><div><h3>Methods</h3><p>Data from a country-wide community survey conducted in Rwanda between December 2021 and March 2022 were used. A total of 26,412 response forms were received from around 4400 participants surveyed in 6 recurrent bi-weekly phases where participants were randomly selected. The Multivariable Logistic regression model was fitted to data with a backward stepwise elimination algorithm to assess the socioeconomic impact of COVID-19 on households’ income. Factors considered in this study are gender, age group, residence, level of education, occupation, change in employment status, socioeconomic status, and marital status.</p></div><div><h3>Results</h3><p>The multivariable logistic regression model provided the factors associated with the decline in income due to COVID-19. The results show that people living without a partner are more likely to experience income decline due to COVID-19 than people living with their partner. It is seen that the higher the number of children in a household, the higher the risk of experiencing a decrease in income. Taking into consideration the education level and comparing people with post-secondary and university level vis-a-vis people who did not attend school, the latter are 27 times more likely to experience a decrease in their income, those who attended primary school are 5 times more likely to experience a decrease in income, and those who attended secondary school are almost 2 times more likely to experience a decrease in income.</p></div><div><h3>Conclusions</h3><p>The findings from this research will be used by policymakers and other stakeholders to design and implement preventive and responsive measures for future pandemics that should be multifactorial and tailored to transversal parameters like gender and residence.</p></div>","PeriodicalId":34321,"journal":{"name":"Research in Globalization","volume":"8 ","pages":"Article 100230"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590051X2400039X/pdfft?md5=fc2ecb0db4df57854e0f4bd068dfd032&pid=1-s2.0-S2590051X2400039X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141290690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tail risk modelling of cryptocurrencies, gold, non-fungible token, and stocks","authors":"Zynobia Barson ,&nbsp;Peterson Owusu Junior","doi":"10.1016/j.resglo.2024.100229","DOIUrl":"https://doi.org/10.1016/j.resglo.2024.100229","url":null,"abstract":"<div><p>We present tail risk analysis of cryptocurrencies (Bitcoin, Ethereum and Litecoin), non-fungible tokens, stocks (FTSE 100 and S&amp;P 500) and Gold from November 12, 2017 to March 31, 2022 using conditional model-based Value-at-Risk (VaR). We explored which model specification and distributional innovation could best capture the tail risk in these assets. Using the VaR and other risk metrics, we showed that there is no superior model/metric for capturing tail risk. We found that, for all the assets, non-Gaussian distributional assumptions best modelled the asymmetry and fat-tails in the distributions of the returns; though there was more homogeneity in the distributional assumptions for Gold unlike the other assets. Our research is crucial for internal risk modelling and may increase global investor confidence for those who blend conventional and unconventional assets. Also, this study can help investors make informed decisions about asset allocation and risk tolerance in the events of extreme market conditions. Understanding the tail risks in financial assets can help investors hedge and diversify against risk in their portfolios. The theoretical implications also show a trade-off between the different assets as the presence of tail risk reflect the potential of returns, yet possible losses in the presence of extreme events. Last, the findings reinforce the need for risk managers to re-focus their attention to a set of superior models rather than a single best model for risk assessment.</p></div>","PeriodicalId":34321,"journal":{"name":"Research in Globalization","volume":"8 ","pages":"Article 100229"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590051X24000388/pdfft?md5=393db3f5146c4a7208290b93ad29c4d0&pid=1-s2.0-S2590051X24000388-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141242300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information communication technology and manufacturing industry exports based on technology intensity in OECD and non-OECD countries","authors":"Rossanto Dwi Handoyo ,&nbsp;Kabiru Hannafi Ibrahim ,&nbsp;Lodi Bagus Rismawan ,&nbsp;Tri Haryanto ,&nbsp;Angga Erlando ,&nbsp;Tamat Sarmidi ,&nbsp;Felicia Vionita Djayadi ,&nbsp;Mohd Azlan Shah Zaidi ,&nbsp;Narayan Sethi ,&nbsp;Widya Sylviana","doi":"10.1016/j.resglo.2024.100228","DOIUrl":"https://doi.org/10.1016/j.resglo.2024.100228","url":null,"abstract":"<div><p>Studies on the effect of Information and Communication Technology (ICT) on the export of the manufacturing industry, as disaggregated into the low-, medium-, and high-technology intensity, were lacking. However, the trade impact of ICT is mixed and relies on countries’ development and adoption of technology. To this end, this study explicitly contributes to this strand of literature. By using some key and popular ICT indicators we examined the comparative influence of ICT on the manufacturing industry exports defined by their technology intensity/adoption in OECD and non-OECD countries. A panel data technique with the PPML (Pseudo-Poisson Maximum Likelihood) covering the period 2010–2018 was applied for the analysis. Our empirical strategy indicates that internet use only promotes manufacturing exports of high-technology intensity in OECD countries. Low-technology intensity manufacturing exports were negatively affected by an increase in the use of the internet in all the samples of non-OECD and OECD economies. Except for high-technology, an increase in mobile phone subscribers is associated with increased manufacturing exports in all categories of industries and all sample countries. Broadband subscriptions only positively affect exports of low-technology intensity in OECD countries and negatively affect exports of medium-technology in non-OECD countries. The economic complexity index shows a positive influence on exports in OECD and non-OECD countries except for low-technology intensity. Human capital has been found to influence manufacturing exports in OECD countries and reduce exports in non-OECD countries. In both the OECD and non-OECD countries, positive and significant effects of GDP and trade were observed in all categories of technology adoption. These findings imply that in OECD and non-OECD countries ICT is an important aspect worth considering in trade policy making due to its significant influence on exports. ICT services need to be checked by the government to ensure quality, efficient, and effective delivery for better export. Findings also support the practical significance of ICT especially in developing OECD countries.</p></div>","PeriodicalId":34321,"journal":{"name":"Research in Globalization","volume":"8 ","pages":"Article 100228"},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590051X24000376/pdfft?md5=c2e1acb28ae0dd326d88d386a0725b15&pid=1-s2.0-S2590051X24000376-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141095883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disentangling the effects of globalization on growth: Evidence from Ethiopia using an ARDL approach","authors":"Dereje Fedasa Hordofa","doi":"10.1016/j.resglo.2024.100224","DOIUrl":"10.1016/j.resglo.2024.100224","url":null,"abstract":"<div><p>Globalization is a complex phenomenon with far-reaching and multidimensional influences on national growth trajectories. Previous studies examining these effects have often relied on overly simplistic measures that mask heterogeneity across contexts. This paper aims to overcome such limitations by disentangling the impacts of different globalization dimensions on Ethiopia’s economic development over 1981–2021 using an autoregressive distributed lag (ARDL) approach in order to assess the long-term and short-term effects of Ethiopia’s economic growth rates and a comprehensive globalization index encompassing the economic, social, and political dimensions of globalization. Long-run and short-run relationships are estimated via ARDL to analyze these relationships in the context of factors like investment, workforce, trade, and capital stock, while the robustness of findings is ensured through dynamic ordinary least squares, fully modified ordinary least squares, and canonical cointegrating regression techniques. Key results indicate that overall and economic globalization exhibit negative long-term associations with growth when analyzing these relationships taking into account other factors, suggesting a need for a cautious, sequenced approach to integration to optimize benefits as local capacities develop over time. However, political globalization carries positive long-run effects. Social globalization displays no clear linkage. Short-run impacts also differ by dimension. Gross capital formation, trade openness, and capital stock remain consistently growth-enhancing. The negative correlation in the labor force likely reflects structural challenges. Robustness analyses substantiate these conclusions, enhancing confidence. Findings imply a cautious, sequenced approach to integration may optimize potential benefits as local adaptive capacities develop over time. This investigation’s tailored nature provides contextually grounded empirical knowledge with broader policy applications. More refinement of country-level analyses remains warranted to fully uncover globalization’s complexity. Overall, incremental global ties alone proved insufficient for development acceleration. Findings carry relevance for managing integration strategies towards inclusive, sustainable development nationally and beyond.</p></div>","PeriodicalId":34321,"journal":{"name":"Research in Globalization","volume":"8 ","pages":"Article 100224"},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590051X24000339/pdfft?md5=6c8bb90d47014d0a6d67332edc4dbbe9&pid=1-s2.0-S2590051X24000339-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141023992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring educational trends and challenges in the MENA region amidst a global crisis: An empirical analysis of the pandemic’s impact on SDG4","authors":"Esmat Zaidan ,&nbsp;Muhammad Mubashir Ehsan","doi":"10.1016/j.resglo.2024.100225","DOIUrl":"10.1016/j.resglo.2024.100225","url":null,"abstract":"<div><p>The paper presents a cross-country analysis of seven countries in the MENA region and explores the effects of COVID-19 on educational policymaking. The paper uses a quasi-thematic literature review to highlight the emerging themes related to the quality of education during the pandemic. The paper investigates the educational trends in seven MENA region countries and provides descriptive analysis to understand if there were changes from 2016 to 2020. In order to investigate these trends, the study uses the conceptualization of Sustainable Development Goals (SDG 4) “Quality of education.” The analysis is based on the data from the World Bank Development indicators. The paper’s evidence identifies a difference in the level of government expenditure on education within the MENA region. Pre and during COVID-19 provides crucial insights such as all countries increased their government expenditure on education except Egypt and Bahrain. The paper further addresses the contributing factors to the educational gaps in the region, such as digital exclusion, inequality (income and gender), and the government’s budget constraints during the pandemic. This study presents recommendations to bridge these identified gaps in the post-pandemic era.</p></div>","PeriodicalId":34321,"journal":{"name":"Research in Globalization","volume":"8 ","pages":"Article 100225"},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590051X24000340/pdfft?md5=aa2d2fd1fc4477b4b1fc65a8b89026d3&pid=1-s2.0-S2590051X24000340-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141051922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}