CONSEQUENCES OF THE COVID-19 PANDEMIC IN THE EUROPEAN UNION FROM THE PERSPECTIVE OF GENERAL GOVERNMENT FINANCES – AN ANALYSIS BASED ON THE SOCIAL ACCOUNTING MATRI

Main Article Content

Joanna Trębska


Keywords : system of national accounts, social accounting matrix, input-output model, general government
Abstract
The aim of the paper is to assess the effects of the COVID-19 pandemic from the perspective of income circulation processes in the economies of the European Union. The empirical study is based on statistical data compiled according to ESA2010 standards, published by the European Commission in the Eurostat database. The fundamental quantitative relationships between entities grouped into institutional sectors have been synthetically presented in the form of a social accounting matrix (SAM). The analyses of simple macroeconomic indicators show the growing importance of the government sector due to the pandemic. This is evidenced by the growing involvement of this sector in consumption, accumulation and income redistribution between institutional sectors.Simulation analyses based on the SAM model determine to what extent the contribution of the government sector to GDP results directly through feedback loops from final demand and to what extent from current and capital transfers.

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How to Cite
Trębska, J. (2023). CONSEQUENCES OF THE COVID-19 PANDEMIC IN THE EUROPEAN UNION FROM THE PERSPECTIVE OF GENERAL GOVERNMENT FINANCES – AN ANALYSIS BASED ON THE SOCIAL ACCOUNTING MATRI. The Scientific Journal European Policies, Finance and Marketing, (29(78), 125–142. https://doi.org/10.22630/PEFIM.2023.29.78.9
References

Aragie E., Diao X., Robinson S., Rosenbach G., Spielman D. J., Thurlow J. (2021). Assessing the economywide impacts of COVID-19 on Rwanda’s economy, agri-food system, and poverty: a social accounting matrix (SAM) multiplier approach (Vol. 1). Intl Food Policy Res Inst.Atkeson A.: What Will Be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios, NBER working paper series, Working Paper 26867, National Bureau of Economic Research Massachusetts Avenue Cambridge, MA, 2020. https://doi.org/10.2499/p15738coll2.134400

Arndt C., Davies R., Gabriel S., Harris L., Makrelov K., Robinson S., Levy S., Simbanegavi W., Seventer D. van, Anderson, L. (2020). Covid-19 lockdowns, income distribution, and food security: An analysis for South Africa. Global food security, 26, 100410. https://doi.org/10.1016/j.gfs.2020.100410

Bagozzi R.P., Mari S., Oklevik O., Xie C. (2022). Responses of the public towards the government in times of crisis. British Journal of Social Psychology, 62(1), 359-392. https://doi.org/10.1111/bjso.12566

Betho, R., Chelengo, M., Jones, S., Keller, M., Mussagy, I. H., van Seventer, D., & Tarp, F. (2022). The macroeconomic impact of COVID‐19 in Mozambique: A social accounting matrix approach. Journal of International Development, 34(4), p. 823-860. https://doi.org/10.1002/jid.3601

Boratyński J. (2005). SNA Based Model of Income Distribution. [In:] W. Welfe, P. Wdowiński (eds). Modeling Economies in Transition. AMFET, Łódź, 45-70.

Burkowski E., Kim J. (2018). Flow-of-funds analysis in the Brazilian economy (2004-2014) (No. 696). Institute of Developing Economies, Japan External Trade Organization (JETRO).

Bustamante-Ayala L. M., Angeles Castro G., Teran-Vargas J. (2022). The financial sector structure and performance and its impact on the Mexican economy: a perspective from the Financial Social Accounting Matrix. Applied Economics, 54(46), 5305-5319. https://doi.org/10.1080/00036846.2022.2042479

Christensen T., Lægreid P. (2020). Balancing governance capacity and legitimacy: how the Norwegian government handled the COVID‐19 crisis as a high performer. Public Administration Review, 80(5), 774-779. https://doi.org/10.1111/puar.13241

Diao X., Aung N., Lwin W.Y., Zone P.P., Nyunt K.M., Thurlow J. (2020). Assessing the impacts of COVID-19 on Myanmar’s economy: A Social Accounting Matrix (SAM) multiplier approach (Vol. 1). International Food Policy Research Institute, Washington.

European Commission (2013). Eurostat, European system of accounts – ESA 2010, Publications Office, https://data.europa.eu/doi/10.2785/16644 [accessed: 3-11-2022].

European Commission, International Monetary Fund, OECED, United Nations, World Bank (2009). System of National Accounts 2008, New York, https://unstats.un.org/unsd/nationalaccount/docs/sna2008.pdf [accessed: 3-11-2022].

Eurostat (2022a) GDP and main components (output, expenditure and income), https://ec.europa.eu/eurostat/databrowser/view/nama_10_gdp/default/table?lang=en [accessed: 22.09.2022].

Eurostat (2022b). General government expenditure by function (COFOG), https://ec.europa.eu/eurostat/databrowser/view/gov_10a_exp/default/table?lang=en [accessed: 22.09.2022].

Fiscal Monitor Database of Country Fiscal Measures in Response to the COVID-19 Pandemic, (2021), https://www.imf.org/en/Topics/imf-and-covid19/Fiscal-Policies-Database-in-Response-to-COVID-19 . [accessed: 03.11.2022].

Hale T., Angrist N., Goldszmidt R., Kira B., Petherick A., Phillips T., Webster S., Cameron-Blake E., Hallas L., Majumdar S., Tatlow H. (2021). A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nature Human Behaviour, 5, 529–538. https://doi.org/10.1038/s41562-021-01079-8

Instytut Finansów, (2022) Rola państwa w kreowaniu rozwoju. Reakcja na kryzys pandemiczny COVID-19, Raport 1/22, Warszawa.

König M., Winkler A. (2021). The impact of government responses to the COVID-19 pandemic on GDP growth: Does strategy matter?. PloS one, 16(11), e0259362. https://doi.org/10.1371/journal.pone.0259362

Ladi S., Tsarouhas D. (2020). EU economic governance and Covid-19: policy learning and windows of opportunity. Journal of European Integration, 42(8), 1041-1056. https://doi.org/10.1080/07036337.2020.1852231

Laursen, T., Gradzewicz, M., Griffin, P., Żółkiewski, Z. (2004). An empirical recursive-dynamic general equilibrium model of Poland’s economy. Mimeo. World Bank, NBP, Warszawa.

Li J. (2008). The financial social accounting matrix for China, 2002, and its application to a multiplier analysis/ University Library of Munich, Munich, Germany.

Martin A., Markhvida M., Hallegatte S., Walsh, B. (2020). Socio-economic impacts of COVID-19 on household consumption and poverty. Economics of disasters and climate change, 4(3), 453-479.

McKibbin W., Fernando R. (2020). The economic impact of COVID-19. [In:] R. Baldwin, B. Weder di Mauro (eds), Economics in the time of COVID-19. CEPR Press, London, 59-72.

Miller R.E., Blair P.D. (2009). Input-output analysis: foundations and extensions. Cambridge University Press, Cambridge.

OECD (2020). Evaluating the initial impact of COVID-19 containment measures on economic activity. OECD Economic Outlook, Volume 2020 Issue 1.

Okuma R. (2013). Sectoral interlinkages in balance sheet approach. Bank for International Settlements, 36, 387-404.

Pereirinha J.A.C., Pereira E. (2021). Social resilience and welfare systems under COVID-19: A European comparative perspective. Global Social Policy, 21(3), 569-594. https://doi.org/10.1177/14680181211012946.

Picek O. (2020). Spillover effects from next generation EU. Intereconomics, 55(5), 325-331 https://doi.org/10.1007/s10272-020-0923-z

Pyatt G. (2001). Some early multiplier models of the relationship between income distribution and production structure. Economic Systems Research, 13(2), 139-163.

https://doi.org/10.1080/09537320120052434

Tomaszewicz Ł. (2001). Macierz Rachunków Narodowych i jej wykorzystanie w analizach ekonomicznych, Akademia Ekonowmiczna w Krakowie, Kraków.

Tomaszewicz Ł., Trębska J. (2017). Finansowe modele input-output w analizie powiązań międzysektorowych. Studia Ekonomiczne, 1,7-26.

Trębska J. (2018). Polish households’ savings in the financial intersectoral linkages. Equilibrium. Quarterly Journal of Economics and Economic Policy, 13(2), 307-329. https://doi.org/10.24136/eq.2018.016

Tsujimura, K., Mizoshita, M. (2004). Compilation and application of asset-liability matrices: A flow-of-funds analysis of the Japanese economy 1954-1999. Keio Economic Observatory Discussion Paper, 93, 30-31.

Tsujimura K., Mizoshita M. (2003). Asset-liability-matrix analysis derived from the flow-of-funds accounts: the bank of Japan's quantitative monetary policy examined. Economic Systems Research, 15(1), 51-67. https://doi.org/10.1080/0953531032000056936

Zamfir I.C., Iordache A.M.M. (2022). The influences of covid-19 pandemic on macroeconomic indexes for European countries. Applied Economics, 54(39), 4519-4531. https://doi.org/10.1080/00036846.2022.2031858

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