An empirical analysis of factors affecting competitiveness of C.E.E. countries

Rusu, Valentina Diana; Roman, Angela

doi:10.1080/1331677x.2018.1480969

Cited by 56 publications

(46 citation statements)

References 17 publications

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“…The paper contributes to the literature of global competitiveness, by examining the role sub-indexes of competitiveness for global competitiveness of the EU-28 countries, pointing out the influence of universities-industry collaboration in research and cluster development with geographic concentration of companies. Our results are consistent with Rusu and Roman (2018) on the relationships between the sub-indexes of competitiveness and GCI. Paraušić et al (2014) found that cluster development and innovation and business sophistication can have a significant influence on national competitiveness in emerging markets and developing countries.…”

Section: Discussionsupporting

confidence: 91%

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Drivers of Global Competitiveness in the European Union Countries in 2014 and 2017

Marčeta

Bojnec

2020

Organizacija

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Background and Purpose: The main purpose of this study is to find the key drivers of Global Competitiveness Index (GCI) in the European Union (EU-28) countries from the aspect of country’s global competitiveness: institutions, macroeconomic environment, infrastructure, higher education, market effectiveness, market size, technological readiness, innovation and business sophistication.Methodology: This paper investigates global competitiveness of the EU-28 countries with the use of GCI in the periods 2014-2015 and 2017-2018. The correlation analysis and regression analysis are applied for testing the set two hypotheses.Results: The empirical results confirmed our hypotheses that GCI is particularly significantly positively correlated with innovation and business sophistication, and universities-industry collaboration in researches, and clusters development.Conclusion: The paper contributes to the literature of global competitiveness, by examining the relationship of sub-indexes of competitiveness of the EU-28 countries, pointing out the influence of universities-industries collaboration in researches and cluster development with geographic concentration of companies. The results and findings can be relevant for science, economic and research policy, and managerial practices that enhance innovation and business sophistication for research in collaboration of companies, universities, higher education institutions, and decision makers. The implications of this study can be important for better understanding of drivers of the EU-28 countries global competitiveness.

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Section: Discussionsupporting

confidence: 91%

“…If it is an efficiency-driven country, then GDP, inflation rate, trade, labour productivity, and costs are important determinants of competitiveness, while for innovation-driven country the determinants of competitiveness are GDP, inflation, tax rate, FDI, trade, and cost (Rusu & Roman, 2018).…”

Section: Introductionmentioning

confidence: 99%

Drivers of Global Competitiveness in the European Union Countries in 2014 and 2017

Marčeta

Bojnec

2020

Organizacija

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“…The results show differences between CEE countries in terms of competitiveness and impact of tourism, confirming other studies (Costea, Hapenciuc and Arionesei, 2017;Rusu and Roman, 2018). One explanation might be that the changes generated by the transition process that inevitably involved the tourism industry in CEE countries have been differently assimilated, thus demonstrating the existence of stages of change, as Mihalic (2015) shows in his study.…”

Section: The Cluster Analysissupporting

confidence: 86%

“…The main limit of the study is the lack of an analysis of the correlations between some of the indicators analyzed, as we have mentioned that other recent studies have demonstrated (Webster and Ivanov, 2014;Romao and Nijkamp, 2017;Rusu and Roman, 2018). Another assumed limit could be the formation of the proposed indicator by the already subsumed TTCI subindexes, but also their subjective weighting.…”

Section: Discussionmentioning

confidence: 96%

“…Baláz (1998) confirms in his paper the fact that after 1989 tourist flows to and from the countries in Central Europe increased significantly, including flows with far-away countries like Japan, the consequences being the entering of these destinations in the international tourist flows and, also, the integration of regional tourism in world economy. Rusu and Roman (2018) proposed an econometric analysis of competitiveness factors in 10 CEE countries (Bulgaria, Czech Republic, Estonia, Hungary, Lithuania, Latvia, Poland, Romania, Slovenia and Slovakia), where the dependent variable was considered the Global Competitiveness Index, and the independent variables the seven macroeconomic indicators and related to business environment characterization.…”

Section: Review Of the Scientific Literaturementioning

confidence: 99%

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Cee-16: A Cluster Analysis Based on Tourism Competitiveness and Correlations With Major Determinants

Popescu¹,

Oehler-Şincai²,

Bulin³

et al. 2018

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The purpose of this paper is to identify the main groups of CEE-16 countries in terms of tourism competitiveness. Competitiveness, as part of the supply side, is addressed in view of the supply-demand correlations, and we consider the attractiveness of tourist destinations from the tourists' perspective as the link between the two sides. For the analysis are selected exactly the 16 countries participating in the 16+1 platform initiated by China in 2011, tourism being one of the components of sectoral cooperation in this framework. We demonstrate that tourism infrastructure (its upgrading and development) is one of the main determinants of tourism competitiveness, even surpassing in importance the tourism assets. In this context, the "China factor" might play a significant role for the CEE-16 in terms of spurring competitiveness, as it is not antagonistic, but complementary with other determinants of competitiveness, including the EU funds. From the perspective of attractiveness, 16+1 cooperation can boost Chinese tourists' arrivals in the region. In order to test these hypotheses, as part of the methodology, the authors calculate a specific travel and tourism competitiveness index (STTCI), starting from the main objectives of the 16+1 cooperation platform, namely prioritization, openness, environmental sustainability, transport infrastructure and specific infrastructure for tourism services. The authors correlate this STTCI with other qualitative indicators and obtain two categories of clusters among the CEE-16 countries. In Romania's case, one can remark the following paradox. The cumulative amount of investment in tourism during 2000-2017 is the largest among the CEE-16 countries, corresponding to its tourism assets and the necessity to connect them; however, Romania lags behind most of the analyzed countries in terms of qualitative indicators such as revealed comparative advantage, direct productivity and multiplier effect of GDP. Therefore, the cluster it belongs to does not reflect its real tourism assets.

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Science, Technology and Export – the EU Case

Kittová

Steinhauser

2020

Artificial Intelligence: Anthropogenic Nature vs. Social Origin

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An empirical analysis of factors affecting competitiveness of C.E.E. countries

Abstract: This paper analyses the main economic factors that are influencing the competitiveness of Central and Eastern European (C.E.E.) countries. The research was carried out on a sample of ten countries (Bulgaria,

Cited by 56 publications

References 17 publications

Drivers of Global Competitiveness in the European Union Countries in 2014 and 2017

Drivers of Global Competitiveness in the European Union Countries in 2014 and 2017

Cee-16: A Cluster Analysis Based on Tourism Competitiveness and Correlations With Major Determinants

Science, Technology and Export – the EU Case

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