ПОБУДОВА МОДЕЛЕЙ АНАЛІЗУ ОБОЛОНОК ДАНИХ (DEA) ДЛЯ ВИЗНАЧЕННЯ ЕФЕКТИВНОСТІ СОЦІАЛЬНОЇ ПОЛІТИКИ УРЯДУ НА РЕГІОНАЛЬНОМУ РІВНІ

Abstract

The article considers the problem of assessing the effectiveness of social policy at the regional level. The main problems caused by the Covid-19 pandemic have been studied. These include: an increase in the number of unemployed, the constant rise in prices for essential goods for consumption, the constant accumulation of non-payment for consumed housing and communal services, rising tariffs for urban transportation, delays in paying subsidies and financial assistance to low-income families. further can lead to social tension. These problems have been shown to be relevant because the government and other international agencies have not defined common approaches and rules for government regulation during a pandemic. The global coronavirus pandemic continues to this day. Therefore, it is important today to find methods that will allow us to analyze the effectiveness of measures taken at the level of regions of Ukraine. The study is conducted on the example of the Dnipropetrovsk region (GRP leader). The model proposed in the article makes it possible to assess the effectiveness of government decisions by comparing the impact of social indicators on gross regional product. The mathematical apparatus used in the article is Data Envelopment Analysis, DEA. This model, in our opinion, allows us to assess the effectiveness of management in very different in size and level of regions of the countries based on the identification of leading regions in terms of social development of the country. Based on the results of the study, it can be concluded that the proposed method of data shell analysis can be used as a tool to assess the Government's performance in terms of the effectiveness of the measures taken to achieve some strategic goals. The method allowed to show relative efficiency in comparison with results of activity of similar regions, considering influence of the social indicators expressed in various metrics. More specific conclusions can be drawn from the above data and used to improve systems of government regulation. This approach can be used at the state level, where the resulting value will be gross domestic product.