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Spatial dimension of Czech enterprise support policy: Where are public expenditures allocated?

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dc.title Spatial dimension of Czech enterprise support policy: Where are public expenditures allocated? en
dc.contributor.author Novosák, Jiří
dc.contributor.author Novosáková, Jana
dc.contributor.author Hájek, Oldřich
dc.contributor.author Koleňák, Jiří
dc.relation.ispartof Review of Economic Perspectives
dc.identifier.issn 1213-2446 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 18
utb.relation.issue 4
dc.citation.spage 333
dc.citation.epage 351
dc.type review
dc.language.iso en
dc.publisher Sciendo
dc.identifier.doi 10.2478/revecp-2018-0017
dc.relation.uri http://nho.econ.muni.cz/18-2018/4-2018
dc.subject enterprise support policy en
dc.subject cohesion policy en
dc.subject the Czech Republic en
dc.subject regional disparities en
dc.description.abstract The purpose of the present paper is to find whether the spatial distribution of enterprise support policy funds meet the spatial objectives stated in Czech strategic documents related to enterprise support policy. Are more funds allocated in lagging regions, and does enterprise support policy contribute more to the convergence objective, or are more funds allocated in core regions, and does enterprise support policy contribute more to the competitiveness objective? These questions are answered by evaluating the Structural (and Cohesion) Fund (SF) expenditures that were allocated on operations categorised as part of enterprise support policy (2007-2013). The dependent variable relates to 206 regions, and SF expenditures are calculated for every inhabitant of a region. Moreover, two types of SF operation are distinguished: (a) innovationoriented operations; and (b) other enterprise support operations. Three explanatory variables are defined using Principal Components Analysis (PCA), and these components are understood as: (1) the social disadvantage of regions; (2) the innovation environment of regions; and (3) the quality of regional entrepreneurial environments. The associations between the dependent and explanatory variables are subsequently evaluated by methods of correlation and regression analysis. The findings provide some evidence for both the convergence and competitiveness objectives. Nevertheless, this evidence is rather limited due to a low spatial concentration of SF allocation, and the compensatory effect between the two thematic types of SF operations. Hence, while the quality of their innovation environment has a positive influence on regional SF allocation regardless of the thematic focus of SF operations, socially disadvantaged regions received more funds for SF operations which are not innovation-oriented. The capacity of potential beneficiaries to prepare and submit many project proposals for SF co-financing is the main reason for high or low SF allocation. © 2018 Jiří Novosák, et al., published by Sciendo. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1008371
utb.identifier.obdid 43879340
utb.identifier.scopus 2-s2.0-85058636419
utb.identifier.wok 000452436400001
utb.source j-scopus
dc.date.accessioned 2019-01-31T08:58:58Z
dc.date.available 2019-01-31T08:58:58Z
dc.description.sponsorship Czech Science Foundation [16-22141S]
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Novosák, Jiří
utb.contributor.internalauthor Hájek, Oldřich
utb.wos.affiliation [Novosak, Jiri; Hajek, Oldrich] Tomas Bata Univ, Fac Management & Econ, Mostni 5139, Zlin 76301, Czech Republic; [Novosakova, Jana; Kolenak, Jiri] Newton Coll, Vaclavske Namesti 11, Prague 11000, Czech Republic
utb.scopus.affiliation Tomas Bata University, Faculty of Management and Economics, Mostní, Zlín, Czech Republic; Newton College, Václavské Náměstí, Prague, Czech Republic
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