Assessment of the quality of forecasts of seasonal fluctuations of budget revenues as part of effective management of public finances in Ukraine

Keywords: tax revenues, State budget of Ukraine, local budgets, Volyn region, forecasts, seasonal fluctuations, forecast quality, forecast errors, forecast accuracy

Abstract

Seasonal fluctuations in revenues to the budgets of Ukraine at different levels can significantly affect the fulfillment of financial obligations of the state and territorial communities, especially in conditions of martial law. The accuracy of forecasting such fluctuations becomes critically important for the formation of a balanced budget policy and ensuring timely financing of priority state programs. The purpose of the article is to assess the quality of forecasts of seasonal fluctuations in budget revenues of different levels in Ukraine during martial law. The research is aimed at increasing the efficiency of financial management in the crisis, which, in turn, will contribute to strengthening the economic security and stability of Ukraine. It is a continuation of the authors' previous research.

Within the framework of the study, the actual indicators of receipts of the largest budget-forming taxes to the state budget of the Volyn region and to the local budgets of the Volyn region for January–May 2024 were analyzed and compared with previously obtained forecast data. To assess the quality of forecasts, a scale was used, according to which the accuracy of forecasts is ranked depending on the value of the mean absolute percentage error (MAPE) of the forecast as follows: high (<=10%), good (10.1–20%), satisfactory (20.1–40%), poor (40.1–50%), unsatisfactory (>50%).

It was found that during the analyzed period, the accuracy of forecasts of seasonal revenues to the state budget in the Volyn region for VAT from goods imported into the customs territory of Ukraine was good (the MAPE of forecasts was 18.8%); for customs duties on goods imported by business entities – satisfactory (28.2%); for personal income tax paid by tax agents from the taxpayer's income in the form of wages – high (6.4%); for excise tax on vehicles imported into the customs territory of Ukraine – satisfactory (39.5%).

It was determined that the accuracy of forecasts of seasonal revenues to the local budgets of the Volyn region for personal income tax paid by tax agents from the taxpayer's income in the form of wages was high (the MAPE of forecasts was 6.4%); for the single tax on individuals – satisfactory (25.0%); for land tax on legal entities – satisfactory (39.7%); for rent from legal entities – high (3.8%).

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Author Biographies

Olesia Totska, Lesya Ukrainka Volyn National University

Doctor of Economic Sciences, Full Professor, Professor at the Department of Management Faculty of Economics  and Management

Vitalii Onysiuk, Lesya Ukrainka Volyn National University

graduate of the second (master’s) level of higher education Faculty of Economics and Management

References

Hirska, O. Z., & Tsehelyk, G. G. (2014). Use of time trends for analysis and forecasting tax revenue to Ukraine's state budget. The Scientific Bulletin of UNFU, 24.5, 349–355. Retrieved from https://nv.nltu.edu.ua/Archive/2014/24_5/58.pdf. [in Ukrainian]

Zaporozhets, O. F. (2013). Administration of customs payments: analysis and forecasting the state budget revenues. Scientific Bulletin of the International Humanitarian University. Ser.: Economics and Management, 5, 78–89. Retrieved from http://nbuv.gov.ua/UJRN/Nvmgu_eim_2013_5_18. [in Ukrainian]

Kucherova, H. Yu. (2015). Trend analysis of tax revenues consolidated budget of Ukraine. Scientific Bulletin of the International Humanitarian University. Ser.: Economics and Management, 14, 258–261. Retrieved from https://www.vestnik-econom.mgu.od.ua/journal/2015/14-2015/60.pdf. [in Ukrainian]

Londar, S. L., & Melnykova, L. O. (2012). Medium-term budget revenue forecasting: corporate income tax revenues. Finance of Ukraine, 1, 28–40. Retrieved from https://finukr.org.ua/?page_id=723&aid=437. [in Ukrainian]

Malikov, V. V., & Diehtiar, O. A. (2012). Peculiarities of using economic and mathematical models for forecasting budget revenues. Problems and Prospects of Entrepreneurship Development, 1, 75–80. Retrieved from http://nbuv.gov.ua/UJRN/piprp_2012_1_21. [in Ukrainian]

Martyniuk, V. P. (2011). Forecasting tax revenues to the state budget using the ARIMA Model. RFI Scientific Papers, 2, 46–54. Retrieved from http://nbuv.gov.ua/UJRN/Npndfi_2011_2_6. [in Ukrainian]

Polchanov, A. Yu. (2020). Forecasting of tax revenues of the consolidated budget of Ukraine based on time series analysis. Black Sea Economic Studies, 55(2), 73–79. Retrieved from https://doi.org/10.32843/bses.55-30. [in Ukrainian]

Sytnyk, N. S., & Ivaneiko, O. Ya. (2023). Analysis of local budget revenues during the war. International Scientific Journal "Internauka", 10, 24–30. Retrieved from https://doi.org/10.25313/2520-2057-2023-10-8930. [in Ukrainian]

Totska, O. L. Economic and mathematical modeling of production in the food industry of Ukraine: monograph. Lutsk: Editorial and publishing department “Vezha” of Lesya Ukrainka Volyn National University, 2009. Retrieved from https://evnuir.vnu.edu.ua/handle/123456789/13677 [in Ukrainian]

Totska, O. L. (2020). Managing the development of higher education of Ukraine in European educational area: monograph. Lutsk: Vezha-Druk. Retrieved from https://evnuir.vnu.edu.ua/handle/123456789/20037.

Totska, O., & Dmytruk, I. (2023). Individual income tax in Ukraine: national and regional dimension. Financial and Credit Systems: Prospects for Development, 1(8), 30–39. DOI: 10.26565/2786-4995-2023-1-04. [in Ukrainian]

Khomutenko, A., & Bzova, Yu. (2017). Forecasting the volume of corporate profit tax revenues to the State budget of Ukraine by the method of correlation and regression analysis. Scientific Bulletin [Odesa National Economic University], 1–2, 133–144. Retrieved from http://n-visnik.oneu.edu.ua/collections/2017/243-244/pdf/133-144.pdf. [in Ukrainian]

Shirinian, L. V., Boiko, S. V., & Tolstenko, O. Yu. (2019). Analysing and forecasting revenues to the State budget of Ukraine from the insurance company profit tax. Bulletin of Taras Shevchenko National University of Kyiv. Economics, 3, 56–64. Retrieved from https://doi.org/10.17721/1728-2667.2019/204-3/8. [in Ukrainian]

Ademmer, M., & Boysen-Hogrefe, J. (2022). The impact of forecast errors on fiscal planning and debt accumulation. Jahrbucher fur Nationalokonomie und Statistik, 242(2), 171–190. DOI: 10.1515/jbnst-2020-0054.

Jalles, J. T. (2020). European Commission's fiscal forecasts in CEE countries: a thorough assessment. Journal of Economic Policy Reform, 23(2), 161–183. DOI: 10.1080/17487870.2018.1520638.

Jorge, S., Cerqueira, P., & Furtado, S. (2023). Municipal revenue over-budgeting: a dynamic analysis of its determinants. Local Government Studies, 49(3), 644–675. DOI: 10.1080/03003930.2021.2025359.

Pamplona, E., Fiirst, C., Hein, N., & Zonatto, V. C. S. (2019). ARMA model performance on forecast of budget revenues of the municipalities of Parana state. Administracao Publica e Gestao Social, 11(1), 92–103. DOI: 10.21118/apgs.v11i1.1487. [in Portuguese]

Szydlowski, C. (2020). Income budgets evaluation of selected communes of Pomorskie Voivodship in Poland from the tax on means of transport. Baltic Journal of Economic Studies, 6(3), 41–47. DOI: 10.30525/2256-0742/2020-6-3-41-47.

Totska, O., & Onysiuk, V. (2024). Analysis and forecasting of seasonal fluctuations in budget revenues of different levels under martial law as a component of effective public finance management in Ukraine. Economics and Region, 2(93), 121–128. DOI: 10.26906/EiR.2024.2(93).3395.

Published
2024-09-30
How to Cite
Totska, O., & Onysiuk, V. (2024). Assessment of the quality of forecasts of seasonal fluctuations of budget revenues as part of effective management of public finances in Ukraine. Financial and Credit Systems: Prospects for Development, 3(14), 68-77. https://doi.org/10.26565/2786-4995-2024-3-06
Section
Economic and mathematical methods and models of financial development