Assessment of public welfare in Ukraine in the context of the COVID-19 pandemic and economy digitalization
Ескіз недоступний
Дата
2021-03-18
Назва журналу
Номер ISSN
Назва тому
Видавець
Суми: LLC “Consulting Publishing Company “Business Perspectives”
Анотація
With 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.
Опис
Ключові слова
digital economy, management, economic assessment, welfare, artificial intelligence, fuzzy sets theory, forecasting
Бібліографічний опис
Serhii 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