ABSTRACT
Reform of fiscal decentralization is one of the most effective modern tools to improve the efficiency of public and local finances, as it involves the transfer of some powers from central to sub-central governments according to the principle of subsidiarity. Therefore, one of the top priorities in public finance development nowadays is to ensure municipal financial resilience (financial capacity). In the paper it is proposed to measure municipal financial resilience (financial capacity) as an integral indicator of fifth parameters (ratio of revenue / cost / tax revenue of local budgets (excluding transfers) to revenue / cost / tax revenue of the consolidated budget, "1" reduced by the ratio of net intergovernmental transfers to own revenue of local budgets;ratio of own revenue of local budgets to their own expenditure) aggregated based on Fishburn formula. It is proposed to chose as a proxies of municipal sustainable economic development such indicators as consumer price index, current account balance, volume of credits to the private sector, net foreign direct investment, GDP growth, GDP per capita, gross capital formation, business density, employment ratio, R&D expenditures, trade turnover. Testing the hypothesis on relationship between municipal financial resilience (financial capacity) and its economic development is realized on data for Ukraine for the period 2008–2021. Method of modelling – regression analysis in Stata software. Based on the empirical research results it might be concluded that there are national peculiarities of relationship between municipal financial resilience (financial capacity) and its sustainable economic development in Ukraine, which might be considered in terms of fiscal decentralization reform implementation, counteraction to negative consequence of coronavirus disease pandemic and municipality post-pandemic recovery strategy. Copyright © 2022– All Rights Reserved.
ABSTRACT
2020 witnessed significant changes in the policies, activities and the plans on the level of governments and companies as well as individuals. While the COVID-19 pandemic exposed the increasing threats and weaknesses, it allowed for new opportunities. New proper measures must be taken to increase cybersecurity, especially that impact of the pandemic is going to have long-term ripples and effects. In this article, the structure of indicators included in the calculation of the National Cyber Security Index is studied and the distribution of the National Cyber Security Index across income groups analysed. In addition to that, the assessment of the efficiency of using resources to ensure national cybersecurity and studies of the impact of COVID-19 on the level of national cybersecurity displayed. Finally, recommendations are giving to improve cybersecurity during and after a pandemic.
ABSTRACT
This is an introductory text to a collection of articles selected from the MPSESM-XIII conference: Modern Problems of Modelling Socio-Economic Systems, which took place in Kharkov, Ukraine, April 8-9th, 2021. Due to quarantine measures in connection with COVID-19, a number of sections have been working in a mixed (online, offline) mode on the basis of S. Kuznets Kharkiv National University of Economics. The following is a brief overview of the main scientific schools on modelling systems and of the results of their work. Particular attention is paid to the development of economic, financial and other applications based on methods and models of machine learning, predictive analytics in the context of the post-crisis syndrome caused by COVID-19. © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
ABSTRACT
This is an introductory text to a collection of articles selected from the MPSESM-XII conference: Modern Problems of Modelling Socio-Economic Systems, which took place in Kharkiv, Ukraine, on April 9-10th, 2020. Due to quarantine measures in connection with COVID-19, several sections were working on June 25th, 2020 on the basis of S. Kuznets Kharkiv National University of Economics https://ek.hneu.edu.ua/. The following is a brief overview of the main scientific schools on modelling systems, of the results of their work. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).