2017
DOI: 10.1080/1331677x.2017.1355260
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Macroeconomic model of institutional reforms’ influence on economic growth of the new EU members and the Republic of Croatia

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Cited by 36 publications
(30 citation statements)
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“…Institutonal reform in new EU member states had a large impact on the manufacturing sector and also on the national output. Buterin et al (2017) show that the institutional reform had a strong impact on the transitional economies output during 1996-2012. Thus, institutional framework is important for the the manufacturing sector in the transitional economies by chanelling FDI and domestic investments in manufacturing sector increasing firms' and national output.…”
Section: Theoretical Backgroundmentioning
confidence: 96%
“…Institutonal reform in new EU member states had a large impact on the manufacturing sector and also on the national output. Buterin et al (2017) show that the institutional reform had a strong impact on the transitional economies output during 1996-2012. Thus, institutional framework is important for the the manufacturing sector in the transitional economies by chanelling FDI and domestic investments in manufacturing sector increasing firms' and national output.…”
Section: Theoretical Backgroundmentioning
confidence: 96%
“…Here, we will concentrate on the economies in the region, introducing Serbia and Croatia. The results show that there is a significant positive impact of institutional reforms on the economic growth of transition countries and Croatia, which creates preconditions that are essential for the future growth rate of the Croatian economy (Buterin et al, 2017). In Table 2, it can be seen that Slovenia was rather closed to international capital flows in comparison to other countries.…”
Section: Economic Developments and Transitional Characteristics Of Eumentioning
confidence: 95%
“…The standard deviation indicates considerable heterogeneity. However, in the context of the analysis of temporal dimensions, the existence of such a variation is a good prerequisite for econometric analysis, as evaluating the impact of the independent variables (Buterin et al, 2017).…”
Section: Datamentioning
confidence: 99%