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Fiscal Burden as a Determinant of Innovation Performance in the CEE Countries

Bibliographic Data

ID12149362
AuthorsPaweł Felis (0000-0002-2072-7245, SGH Warsaw School of Economics), Michał Bernardelli (0000-0002-5504-257X, SGH Warsaw School of Economics), Marcin Jamroży (0000-0003-0536-3364, SGH Warsaw School of Economics), Jacek Lipiec (0000-0003-4986-6166, SGH Warsaw School of Economics), Elżbieta Malinowska-Misiąg (0000-0001-8710-781X, SGH Warsaw School of Economics), Joanna Szlęzak-Matusewicz (0000-0003-2017-9434, SGH Warsaw School of Economics), Grzegorz Otczyk (0000-0002-2431-4309, SGH Warsaw School of Economics, corresponding author)
Year2022
Volume37
Issue3
Pages1084-1109
Publication date2022-10-05
Open AccessYes
TypeARTICLE
VenueEast European Politics and Societies and Cultures (JOURNAL)
Journal identifiersISSN: 0888-3254 • E-ISSN: 1533-8371
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/08883254221116802
OpenAlexW4302009895
LanguageEN

This article aims at finding a relationship between the degree of fiscalism and innovation in eleven countries in Central and Eastern Europe (CEE). The article uses clustering algorithms to divide countries into groups, with the most similar features in a multidimensional space generated by values of adopted indices, irrespective of fiscalism and innovation. Econometric modelling based on panel data was used to identify directions and the strength of the relationship between different variables. The article finds that fiscalism and innovation performance are closely interrelated. The article uses selected (limited) indices to exhibit the relation between fiscalism and innovation. The impact of tax competition may be used to give a broader perspective on this relation. The implication for the public policy is that high value of tax-to-GDP (gross domestic product) coexists with low labour costs and entrepreneurs’ attitude to investment in innovation. It is among the first articles to exhibit a relation between innovation and fiscalism in the CEE countries. In addition, the article uniquely uses clustering methods combined with the econometric panel model

Competition (biology · Econometric analysis · Econometric model · Econometrics · Economics · Estimation · Gross domestic product · Investment (military · Macroeconomics · Panel data · Perspective (graphical · Political science · Politics · Relation (database · Value (mathematics · Energy, Environment, Economic Growth

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