Open Access
Issue
E3S Web of Conf.
Volume 558, 2024
4th International Conference on Sustainable, Circular Management and Environmental Engineering (ISCMEE 2024)
Article Number 01026
Number of page(s) 14
DOI https://doi.org/10.1051/e3sconf/202455801026
Published online 02 August 2024
  1. Vysochyna, A., & Puhovkina, I. (2022). Identification of COVID-19 pandemic influence on country macroeconomic stability. Vìsnik Sumsʹkogo deržavnogo unìversitetu, 248-258. https://doi.org/10.21272/1817-9215.2022.4-26. [Google Scholar]
  2. Abdel Maksoud, K.M., Hathout, H.M., & Albagoury S.H. (2021). The socio-economic impact of COVID-19 on thepetroleum sector in Egypt: A descriptive analysis. Int. J. of Soc. Econ., http://dx.doi.org/10.1108/IJSE-10-2020-0688. [Google Scholar]
  3. Piriyev, G. (2023). Monetary policy of world banks during the pandemic. PAHTEI- Procedings of Azerbaijan High Technical Educational Institutions, 30, 95-111. https://doi.org/10.36962/PAHTEI30072023-95. [CrossRef] [Google Scholar]
  4. Chakraborty, M., Ghosh, M., Maity, A., Dutta, D., Chatterjee, S., & Biswas, M. (2021). Economy andUnemployment Due to COVID19: Secondary Research. In the International Conference on Intelligence Science, Springer, Cham, 285-290. [Google Scholar]
  5. Pardo, L. A. H., Peña, A. D. J., Farroñán, E. V. R., Ballesteros, M. A. A., Gonzáles, J. L. C., Ijiri, G. L. C., Burgos, A. P. R., Atencio, Y. V., & Ríos, M. S. R. (2023). Sources of financing in the sectors most affected by the pandemic caused by COVID 19. Journal of Educational and Social Research, 13(6), 317. https://doi.org/10.36941/jesr-2023-0167 [CrossRef] [Google Scholar]
  6. Sokil, O., Podolchak, N., Vesolovska, M., & Trachova, D. (2023). Impact Well-Being Indicator on Emotional Intelligence Sustainable Development in Poland and Ukraine. 13th International Conference on Advanced Computer Information Technologies, ACIT 2023 - Proceedings, 342-346. http://dx.doi.org/10.1109/ACIT58437.2023.10275413. [Google Scholar]
  7. Yaremenko, O., & Krasnopyorov, P. (2022). Anti-crisis state regulation of the economy in Indonesia in the context of the COVID-19 pandemic. Econ. Scop., 181, 48-54. https://doi.org/10.32782/2224-6282/181-8. [Google Scholar]
  8. Sokil, O., Kucherkova, S., Kostyakova, A., Podolchak, N., Sokil, Y., & Shkvyria, N. (2022). The Context of “Globalization Versus Localization” After the World Pandemic and Quarantine. In: Yaseen, S.G. (eds) Digital Economy, Business Analytics, and Big Data Analytics Applications. Studies in Computational Intelligence, 1010, Springer, Cham. 77-85. https://doi.org/10.1007/978-3-031-05258-3_8. [CrossRef] [Google Scholar]
  9. Obrenovic, B., Oblakovic, G., & Asa, A., (2024). Bibliometric Analysis of Financial and Economic Implicationsduring the COVID-19 Pandemic Crisis. Sust. J., 16(7), 2897. https://doi.org/10.3390/su16072897. [CrossRef] [Google Scholar]
  10. O’Callaghan, B., Yau, N., Murdock, E., Janz, A., Flodell, H., Blackwood, A., Purroy Sanchez, L., Sadler, A., Wen, E., Kope, H., Tillman-Morris, L., Ostrovsky, N., Tritsch, D., Lee, D., Hristov, D., & Hepburn, C. (2020). Oxford economic stimulus observatory. https://www.smithschool.ox.ac.uk/publications/wpapers/Oxford- Economic-Stimulus-Observatory.xlsx. [Google Scholar]
  11. Kelton, S. (2020). The deficit myth: Modern monetary theory and how to build a better economy. Hachette Book Group. [Google Scholar]
  12. Wray, L. R. (2016). Modern money theory: A primer on macroeconomics for sovereign monetary systems. Palgrave MacMillan. [Google Scholar]
  13. Hepburn, C., O’Callaghan, B., Stern, N., Stiglitz, J., & Zenghelis, D. (2020). Will COVID-19 fiscal recovery packages accelerate or retard progress on climate change? Oxf. Rev. of Econ. Pol., 36(Suppl_1), 359–381. https://doi.org/10.1093/oxrep/graa015. [Google Scholar]
  14. Mansuy, N. (2020). Stimulating post-COVID-19 green recovery by investing in ecological restoration. Restoration Ecology, 28(6), 1343–1347. https://doi.org/10.1111/rec.13296. [CrossRef] [PubMed] [Google Scholar]
  15. Mukanjari, S., & Sterner, T. (2020). Charting a ‘Green path’ for recovery from COVID-19. Envir. and Res. Econ., 76(4), 825–853. https://doi.org/10.1007/s10640-020-00479-0. [CrossRef] [PubMed] [Google Scholar]
  16. Lahcen, B., Brusselaers, J., Vrancken, K., Dams, Y., Da Silva Paes, C., Eyckmans, J., & Rousseau, S. (2020). Green recovery policies for the COVID-19 crisis: Modelling the impact on the economy and greenhouse gas emissions. Envir. and Res. Econ. J., 76 (4), 731–750. https://doi.org/10.1007/s10640-020-00454-9. [CrossRef] [PubMed] [Google Scholar]
  17. International Monetary Fund. (2021). World economic outlook update – 2021 January. https://www.imf.org/en/Publications/WEO/Issues/2021/01/26/2021-world-economic- outlook-update. [Google Scholar]
  18. European Commission. (2020). European economic forecast autumn 2020. https://ec.europa.eu/info/business-economy-euro/economic-performance-and- forecasts/economic-forecasts/autumn-2020-economic-forecast_en. [Google Scholar]
  19. International Labour Organization. (2021). ILO monitor: COVID-19 and the world of work (7th ed.). https://www.ilo.org/wcmsp5/groups/public/—dgreports/— dcomm/documents/briefingnote/wcms_767028.pdf. [Google Scholar]
  20. McKinsey. (2020). Consumer sentiment and behavior continue to reflect the uncertainty of the COVID-19 crisis. https://www.mckinsey.com/business- functions/marketing-and-sales/our-insights/a-global-view-of-how-consumer-behavior- is-changingamid-COVID-19. [Google Scholar]
  21. Office for National Statistics. (2020). Consumer trends time series. https://www.ons.gov.uk/economy/nationalaccounts/satelliteaccounts/datasets/consumer trends. [Google Scholar]
  22. World Trade Organization. (2020). Methodology for the WTO trade forecast of April 8. https://www.wto.org/english/news_e/pres20_e/methodpr855_e.pdf. [Google Scholar]
  23. Knoema. (2024). Professional tools for data discovery and management. https://knoema.com/. [Google Scholar]
  24. Sanko, K. (2021). The conditionality of the emotional intelligence influence on adaptability, psychological well-being and subjective success (during the pandemic). Psych. J., 7, 48-58, DOI: https://doi.org/10.31108/1.2021.7.7.5. [CrossRef] [Google Scholar]
  25. International Monetary Fund. (2020). Kurzarbeit: Germany’s Short-Time Work Benefit. https://www.imf.org/en/News/Articles/2020/06/11/na061120-kurzarbeit- germanys-short-time-work-benefit. [Google Scholar]
  26. World Bank. (2020). The Korea Office Innovation and Technology Note Series. Republic of Korea’s COVID-19 Preparedness and Response. https://documents1.worldbank.org/curated/en/534981606291035033/pdf/Republic-of- Korea-s-COVID-19-Preparedness-and-Response.pdf. [Google Scholar]
  27. Jamieson, T. (2020). “Go Hard, Go Early”: Preliminary Lessons From New Zealand’s Response to COVID-19. The Amer. Rev. of Pub. Adm., 50. https://doi.org/10.1177/0275074020941721. [Google Scholar]
  28. Sokil, O., Podolchak, N., Zhuk, V., Martyniuk, V., Tsygylyk, N. & Bilyk, O. (2023). The COVID-19 impact assessment on the civil servants soft skills. Rev. of Econ. and Fin. J., 21, 2532-2537. https://refpress.org/ref-vol21-a270/. [Google Scholar]
  29. European Comission. (2020). The EU's NextGenerationEU recovery plan. https://commission.europa.eu/strategy-and-policy/recovery-plan-europe_en. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.