Correlation between the state of cluster development and national competitiveness in the Global Competitiveness Report of the World Economic Forum 2012–2013

Paraušić, Vesna; Cvijanović, D.; Mihailović, Branko; Veljković, Kristina

doi:10.1080/1331677x.2014.974917

Cited by 30 publications

(12 citation statements)

References 7 publications

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“…Clustering strategies general focus on firms' competitiveness and innovation (Bosch, Capel, Cougoule, Ferrari, & Solanas, 2012;Paraubosšić, Cvijanović, Mihailović, & Veljković, 2014;Paraušić et al, 2014;Sölvell, Lindqvist, & Ketels, 2003) depending on geographical proximity and increased interaction often based on trust (Möhring, 2005). Nevertheless, in today's world, national borders have been eroding, and their importance regarding affecting a nation's economic performance is diminishing (Clement, 1999;McCann, 2008).…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of economic clusters, FDI and R&D on Innovation: Developing Countries in European Monetary Union Example

Yıldırım

Arun

2019

Int. J. Innov.

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This study investigates the impact of clusters, FDI, RD, and GDP per capita on innovation. Using a unique panel dataset obtained from eight developing countries with similar innovation levels that are in and out of economic clusters from 2001-2014. The empirical results show that dynamic (uncountable) effects of clusters are not statistically significant on innovation, but static effects (countable) are. Therefore, clusters are effective for developing countries on trade but not innovation directly that developing country should increase trade for innovation spillover by moderation effect of being in economic unions.

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Section: Literature Reviewmentioning

confidence: 99%

Effects of economic clusters, FDI and R&D on Innovation: Developing Countries in European Monetary Union Example

Yıldırım

Arun

2019

Int. J. Innov.

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“…It is far from a free-floating culture. Paraušić et al (2014) argues that the coefficient of a simple linear correlation indicates that there is a strong positive correlation in the sample between state cluster development in a country and its national competitiveness.…”

Section: Hypothesesmentioning

confidence: 99%

“…Knowledge-based economies in rapidly changing markets require organisation and strategies to effectively use knowledge and skills (Kareem & Mijbas, 2019). Many countries have increased their national competitiveness such as Israel, the Netherlands, Finland, and Germany, driven by education and skilled labour contributing to high level of productivity and investments in R&D, which further promotes innovative world-class clusters development (Paraušić et al, 2014). Camagni (2008) argues that institutions, rules and norms create conditions for reduction of market transaction costs.…”

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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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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“…According to Porter there are four main determinants of competitiveness of enterprises: their strategy, structure and rivalry, the demand conditions they face, the factor supply conditions they encounter, and the conditions of related industries. Paraušić, Cvijanović, Mihailović, and Veljković (2014) stated that theories of competitiveness and economic growth and development have changed and evolved over time. In response to the question of which production factors contribute most to economic prosperity of a country and its competitiveness, the researchers firstly considered the natural resources and the importance of production factors availability (capital accumulation enables specialisation and division of labour and contributes to a higher productivity).…”

Section: Theoretical Background and Literature Overviewmentioning

confidence: 99%

Performance evaluation of the Visegrad Group countries

Ivanová

Masárová

2018

Economic Research-Ekonomska Istraživanja

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The objective of economic success is not only to achieve positive developments in economic indicators, but to ensure a high living standard and quality of life for the population. It is therefore necessary to measure economic success in terms of social and socio-economic indicators, which indicate the quality of life of the population. A relevant indicator of economic development and economic performance is the gross domestic product (GDP) per capita. Although this indicator is the most widely used, it has recently been subject to a wave of criticism. Therefore it is necessary to evaluate the economic success, taking into account other variables, which in themselves imply social indicators: net economic welfare, Human Development Index (HDI), Index of Competitiveness, Index of Economic Freedom (IEF), Prosperity Index, Corruption Perception Index and others. The subject of this article is to evaluate the economic performance of the Visegrad Group countries using GDP per capita and selected socioeconomic indicators. We use the method of time series analysis to examine the development of selected indicators. To compare their development we use the method of comparison, and to formulate the findings we use the method of synthesis. In order to evaluate the performance of the Visegrad countries we use scoring method. JEL CLASSIFICATIONSF14; F62; o11; o12 ARTICLE HISTORY

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Correlation between the state of cluster development and national competitiveness in the Global Competitiveness Report of the World Economic Forum 2012–2013

Cited by 30 publications

References 7 publications

Effects of economic clusters, FDI and R&D on Innovation: Developing Countries in European Monetary Union Example

Effects of economic clusters, FDI and R&D on Innovation: Developing Countries in European Monetary Union Example

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

Performance evaluation of the Visegrad Group countries

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