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The World Economy’s Development After the COVID-19 Crisis: Sustainability and Stability vs. Quick Digital Growth

handle: 11570/3269750
This paper aims to model the cause-and-effect relationships between the world economy’s digital development and sustainable living. A broad selection of developed and developing countries examines what the world economy would have looked like without the crisis in 2020. Drawing on whether the virus is swept off or merely reduced, the dataset contains a forecast of the world economy for 2022. Being aware of alternative scenarios can be helpful in a wide range of scientific studies. The practical implications of the results of the scenario analysis consist in them allowing for the assessment of opportunities to overcome the COVID-19 viral threat with the help of vaccination.
- University of Messina Italy
- Harvard University United States
- University of Messina Italy
- Peoples' Friendship University of Russia Russian Federation
- Peoples' Friendship University of Russia Russian Federation
Quick digital growth, economic policy, 330, COVID-19 crisis, R & D/Technology Policy, dataset, stability, entrepreneurship, sustainability, development, Cross-country overview, Article, COVID-19 crisis, Cross-country overview, Development, Sustainability, Stability, Quick digital growth, Dataset
Quick digital growth, economic policy, 330, COVID-19 crisis, R & D/Technology Policy, dataset, stability, entrepreneurship, sustainability, development, Cross-country overview, Article, COVID-19 crisis, Cross-country overview, Development, Sustainability, Stability, Quick digital growth, Dataset
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
