Modeling Socio-Economic Consequences of COVID-19: An Evidence From Bibliometric Analysis
The COVID-19 pandemic has pushed the world towards a digital era and affected the environment significantly. The present study uses a bibliometric approach to provide a comprehensive overview based on existing literature related to COVID-19 and E-learning and its environmental consequences, particul...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-07-01
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Series: | Frontiers in Environmental Science |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.941187/full |
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author | Yasmeen Ansari Mohd Arwab Mohammad Subhan Md Shabbir Alam Nazia Iqbal Hashmi Mohammed Wamique Hisam M. Nasir Zameer |
author_facet | Yasmeen Ansari Mohd Arwab Mohammad Subhan Md Shabbir Alam Nazia Iqbal Hashmi Mohammed Wamique Hisam M. Nasir Zameer |
author_sort | Yasmeen Ansari |
collection | DOAJ |
description | The COVID-19 pandemic has pushed the world towards a digital era and affected the environment significantly. The present study uses a bibliometric approach to provide a comprehensive overview based on existing literature related to COVID-19 and E-learning and its environmental consequences, particularly from the year 2020–2022. In addition to the terrible impact of the pandemic on the world, environmental advantages have also been noticed. The findings show that the use of E-learning reduces the consumption of paper and prevents the cutting of trees which makes the environment more sustainable. The optimum use of technology leads to the conservation of the environment. Second, E-learning ensures developing and less developing countries to provide education at lower levels or remote areas of the society. The findings also suggest that governments and educational institutions should upgrade technology and digital tools in order to enhance E-learning education. Additionally, reviewing 1807 published articles extracted from the SCOPUS database, enrich literature related to COVID-19, E-learning, and the environment. This study also represents a graphical visualization of the bibliometric analysis using VOSviewer and R studio software. A coupling map and three-field plot also have been used for directions for future research. |
first_indexed | 2024-04-11T22:28:29Z |
format | Article |
id | doaj.art-6a1aa414940a4665b8da649d5cee8ed9 |
institution | Directory Open Access Journal |
issn | 2296-665X |
language | English |
last_indexed | 2024-04-11T22:28:29Z |
publishDate | 2022-07-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Environmental Science |
spelling | doaj.art-6a1aa414940a4665b8da649d5cee8ed92022-12-22T03:59:35ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-07-011010.3389/fenvs.2022.941187941187Modeling Socio-Economic Consequences of COVID-19: An Evidence From Bibliometric AnalysisYasmeen Ansari0Mohd Arwab1Mohammad Subhan2Md Shabbir Alam3Nazia Iqbal Hashmi4Mohammed Wamique Hisam5M. Nasir Zameer6Department of Finance, College of Administrative and Financial Sciences, Saudi Electronic University, Jeddah, Saudi ArabiaDepartment of Commerce, Aligarh Muslim University, Aligarh, IndiaDepartment of Commerce, Aligarh Muslim University, Aligarh, IndiaDepartment of Economics and Finance, College of Business Administration, University of Bahrain, Sakhir, BahrainDepartment of Finance, College of Business Administration, Prince Sultan University, Riyadh, Saudi ArabiaDepartment of Management, College of Commerce and Business Administration, Dhofar University, Salalah, OmanDepartment of Commerce, Aligarh Muslim University, Aligarh, IndiaThe COVID-19 pandemic has pushed the world towards a digital era and affected the environment significantly. The present study uses a bibliometric approach to provide a comprehensive overview based on existing literature related to COVID-19 and E-learning and its environmental consequences, particularly from the year 2020–2022. In addition to the terrible impact of the pandemic on the world, environmental advantages have also been noticed. The findings show that the use of E-learning reduces the consumption of paper and prevents the cutting of trees which makes the environment more sustainable. The optimum use of technology leads to the conservation of the environment. Second, E-learning ensures developing and less developing countries to provide education at lower levels or remote areas of the society. The findings also suggest that governments and educational institutions should upgrade technology and digital tools in order to enhance E-learning education. Additionally, reviewing 1807 published articles extracted from the SCOPUS database, enrich literature related to COVID-19, E-learning, and the environment. This study also represents a graphical visualization of the bibliometric analysis using VOSviewer and R studio software. A coupling map and three-field plot also have been used for directions for future research.https://www.frontiersin.org/articles/10.3389/fenvs.2022.941187/fullsocio-economic activitiesCOVID-19VOS-viewerbibliometriccoupling mapR studio |
spellingShingle | Yasmeen Ansari Mohd Arwab Mohammad Subhan Md Shabbir Alam Nazia Iqbal Hashmi Mohammed Wamique Hisam M. Nasir Zameer Modeling Socio-Economic Consequences of COVID-19: An Evidence From Bibliometric Analysis Frontiers in Environmental Science socio-economic activities COVID-19 VOS-viewer bibliometric coupling map R studio |
title | Modeling Socio-Economic Consequences of COVID-19: An Evidence From Bibliometric Analysis |
title_full | Modeling Socio-Economic Consequences of COVID-19: An Evidence From Bibliometric Analysis |
title_fullStr | Modeling Socio-Economic Consequences of COVID-19: An Evidence From Bibliometric Analysis |
title_full_unstemmed | Modeling Socio-Economic Consequences of COVID-19: An Evidence From Bibliometric Analysis |
title_short | Modeling Socio-Economic Consequences of COVID-19: An Evidence From Bibliometric Analysis |
title_sort | modeling socio economic consequences of covid 19 an evidence from bibliometric analysis |
topic | socio-economic activities COVID-19 VOS-viewer bibliometric coupling map R studio |
url | https://www.frontiersin.org/articles/10.3389/fenvs.2022.941187/full |
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