Assessment of public welfare in Ukraine in the context of the COVID-19 pandemic and economy digitalization

Скорочена інформація про документ
dc.contributor.authorSerhii Kozlovskyi
dc.contributor.authorIaroslav Petrunenko
dc.contributor.authorViktoriia Baidala
dc.contributor.authorViktoriia Myronchuk
dc.contributor.authorTetiana Kulinich
dc.date.accessioned2024-11-18T15:47:50Z
dc.date.available2024-11-18T15:47:50Z
dc.date.issued2021-03-18
dc.description.abstractWith the emergence of the global COVID-19 pandemic in 2019, a process of transformation of the modern economic system took place, which requires new approaches to assessing economic processes. One of such processes is the assessment of public welfare. The purpose of this study is to develop an approach to assessing the level of public welfare of the population of Ukraine in the context of the COVID-19 pandemic and economy digitalization. To solve this problem, the methods of artificial intelligence, in particular the method of fuzzy sets theory, which allows using the incomplete information and making high-quality forecast calculations, are used. The factors influencing the level of public welfare during the COVID-19 pandemic have been identified. These are the following factors: gross domestic product, poverty rate, welfare index, human development index, subsistence level, and indicators that characterize the COVID-19 pandemic (i.e. the total number of COVID-19 cases, the total number of deaths from COVID-19, and the total number of vaccinations from COVID-19 in Ukraine). Using fuzzy sets theory, an economic-mathematical model for assessing the level of public welfare in the context of the COVID-19 pandemic in Ukraine was built. Two-dimensional dependences of the level of public welfare of Ukraine in the context of the COVID-19 pandemic on indicators such as gross domestic product, subsistence level, and the total number of cases of COVID-19 in Ukraine were obtained. The results of the study established that the level of public welfare in the context of the COVID-19 pandemic on the 0-100 scale is predicted to be as follows points: 2021 – 17, 2022 – 23, 2023 – 27, 2024 – 19, 2025 – 35 and will not meet international standards.
dc.identifier.citationSerhii Kozlovskyi, Iaroslav Petrunenko, Viktoriia Baidala, Viktoriia Myronchuk and Tetiana Kulinich (2021). Assessment of public welfare in Ukraine in the context of the COVID-19 pandemic and economy digitalization. Problems and Perspectives in Management, 19(1), 416-431
dc.identifier.urihttps://r2.donnu.edu.ua/handle/123456789/3414
dc.language.isoen
dc.publisherСуми: LLC “Consulting Publishing Company “Business Perspectives”
dc.relation.ispartofseries2021. 19(1), С. 416-431
dc.subjectdigital economyeng
dc.subjectmanagementeng
dc.subjecteconomic assessmenteng
dc.subjectwelfareeng
dc.subjectartificial intelligenceeng
dc.subjectfuzzy sets theoryeng
dc.subjectforecastingeng
dc.titleAssessment of public welfare in Ukraine in the context of the COVID-19 pandemic and economy digitalization
dc.typeArticle
Файли
Контейнер файлів
Зараз показуємо 1 - 1 з 1
Ескіз
Назва:
024_Kozlovskyi.pdf
Розмір:
687.85 KB
Формат:
Adobe Portable Document Format
Опис:
Завантажити
Ліцензійна угода
Зараз показуємо 1 - 1 з 1
Ескіз
Назва:
license.txt
Розмір:
1.71 KB
Формат:
Item-specific license agreed upon to submission
Опис:
Завантажити
Зібрання
Наукові видання