The geographic distribution of Knowledge Economy (KE) within the European Union (EU)


The business environment is reshaped by knowledge economy which has taken both competitiveness and doing business to a whole new level. Because knowledge economy plays a key role in the creation of welfare it has been classified as an important reliable indicator for comparing world’s economies. The present paper highlights the geographic distribution of knowledge economy at the level of the European Union by means of factorial analysis. Factor analysis, a well-known statistical clustering technique, has been applied on the 28 EU countries (seen in our study as random variables) with an a priori fixed number of two factors. On each variable, the realisations are given by the scores (normalized between 0 and 1) registered for year 2012 on 12 key Knowledge Economy (KE) indices. The resulting factor structure is compared to the standard geographical grouping of EU countries (NorthWest-SouthEast) in present KE literature. SPSS software has been used for the statistical analysis. The highest correlations attained were in terms of the Global Competitiveness Index, World Happiness Index, R&D expenses signifying that they could also act as predictors in evaluating the status of the knowledge economy of a particular country, whereas weaker correlations can be spotted for enterprises selling online, electric energy consumption, carbon dioxide emissions and others. In the future, the same relationship can be tested to see whether the influences have changed, in the light of new available data.

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  • Agapie, A., Vizitiu, C., Cristache, S., Năstase, M., Crăciun, L., & Molănescu, A. (2018). “Analysis of Corporate Entrepreneurship in Public R&D Institutions”. Sustainability, Vol. 10, No. 7, pp. 2297, 1-15.

  • Alvarez, I., & Marin, R. (2013). “FDI and technology as levering factors of competitiveness in developing countries”. Journal of International Management, Vol. 19, No. 3, pp.232-246.

  • Barroso, J.M.D. (2012) Statement by President Barroso following the second day of the European Council, 13-14 December 2012, Available online

  • Bejinaru, R. (2017). “Knowledge strategies aiming to improve the intellectual capital of universities”. Management & Marketing. Challenges for the Knowledge Society, Vol. 12, No. 3, pp. 500-523.

  • Bell, D. (1973). The coming of the post-industrial age: A venture in social forecasting. London: Heinemann.

  • Bernstein, J., & Gray, C. F. (2012). “Content factor: a measure of a journal’s contribution to knowledge”. PLoS One, Vol. 7, No. 7, e41554.

  • Bratianu, C. (2017). Sharing economy: knowledge strategies for crazy times. In Tsui, E. & Cheung, B. (Eds.). Proceedings of the 14th International Conference on Intellectual Capital, Knowledge Management and Organizational Learning, The Hong Kong Polytechnic University, Hong Kong (pp. 29-35), 7-8 December 2017. Reading: Academic Conferences and Publishing International.

  • Bratianu, C. (2018). “Intellectual capital research and practice: 7 myths and one golden rule”. Management & Marketing. Challenges for the Knowledge Society, Vol. 13, No. 2, pp. 859-879.

  • Bratianu, C. & Orzea, I. (2013). Emotional knowledge: the hidden part of the knowledge iceberg. In Janiunaite, B., Pundziene, A. & Petraite, M. (Eds.). Proceedings of the 14th European Conference on Knowledge Management, Kaunas University of Technology, Lithuania (Vol.1, pp. 82-90), 5-6 September 2013. Reading: Academic Conferences and Publishing International.

  • Braunerhjelm, P., & Thulin, P. (2008). “Can countries create comparative advantages? R&D expenditures, high-tech exports and country size in 19 OECD countries, 1981–1999”. International Economic Journal, Vol. 22, No. 1, pp. 95-111.

  • Brinkley, I. (2006). Defining the knowledge economy, Knowledge economy programme report, DTI Competitiveness White Paper, The Work Foundation,

  • Caraveli, H., Tsionas, E. G., & Darzentas, J. (2008). “EU Growth, Convergence and the knowledge economy: an Empirical Investigation”. The Journal of Economic Asymmetries, Vol. 5, No. 2, pp. 105-124.

  • Carpenter, C. R., Cone, D. C., & Sarli, C. C. (2014). “Using publication metrics to highlight academic productivity and research impact”. Academic Emergency Medicine, Vol. 21, No. 10, pp. 1160-1172.

  • Chen, D. and Dahlman, C.J. (2005). The Knowledge Economy, the KAM Methodology and World Bank Operations, World Bank Institute, Working Paper 37256,

  • Cornell University, INSEAD and WIPO (2013) “The Global Innovation Index 2013: The Local Dynamics of Innovation”, Geneva, Ithaca and Fontainebleau.

  • Craciun, L., Nastase, M., Stamule, T. & Vizitiu, C. (2015), “Leadership in Romanian small to medium enterprises”, Sustainability, No. 7, pp. 4183–4198.

  • Dan, M.C. (2011). Competitiveness, regional development and clusters in the Romanian context. In Proceedings of the 6th International Conference on Business Excellence. Brașov: Publishing House of the Transilvania University of Brașov (pp. 165-168).

  • Dan, M.C. (2012). “Innovative clusters: a solution for the economic development of Romania”. Theoretical & Applied Economics, Vol. 19, No. 9, pp. 25-16.

  • Danby, S. and Lee, A. (2012). Framing doctoral pedagogy as design and action. In Lee, A. & Danby, S. (eds). Reshaping doctoral education:International approaches and pedagogies. Abington: Routledge.

  • Dima, A.M., Begu, L., Vasilescu, M.D., & Maassen, M.A. (2018). “The Relationship between the Knowledge Economy and Global Competitiveness in the European Union”. Sustainability, Vol. 10, No. 6, pp. 1706, 1-15.

  • Drucker, P. (1969). The age of discontinuity. Elsevier.

  • Drucker, P. (2017). The age of discontinuity: Guidelines to our changing society. Routledge.

  • Dzhukha, M.V., Kokin, N.A., Li, S.A., & Sinyuk, Y.T. (2017). “Research and Development Intensity in Business: Russia and EU”. European Research Studies Journal, Vol., 20, No. 1, pp. 64-76.

  • Falk, M. (2009). “High-tech exports and economic growth in industrialized countries”. Applied Economics Letters, Vol. 16, No. 10, pp. 1025-1028.

  • George, D. and Mallery, P. (2003), SPSS for Windows step by step: A simple guide and reference, 4th edn., Allyn & Bacon, Boston, MA.

  • Gugler, P., & Brunner, S. (2007). “FDI effects on national competitiveness: A cluster approach”. International Advances in Economic Research, Vol. 13, No. 3, pp. 268-284.

  • Habing, B. (2003). Exploratory factor analysis, Personal communication, 15 October, University of South Carolina, viewed March 10 2017 from

  • Hadad, S. (2017a). “Knowledge economy: Characteristics and dimensions”. Management dynamics in the Knowledge economy, Vol. 5, No. 2, pp. 203-225.

  • Hadad, S. (2017b). “Strategies for developing knowledge economy in Romania”. Management & Marketing, Challenges for the Knowledge Society, Vol. 12, Vol. 3, pp. 416-430.

  • Hadad, S. (2017c). “Business Digitization in the Romanian Economy”, in Proceedings of Strategica. Shift. Major challenges of today's economy.

  • Helliwell, J., Layard, R. and Sachs, J. (eds.) (2012). World happiness report. The Earth Institute, Columbia University, New York, USA.

  • Hopman C., Rojas-Romagosa H., Veenendaal P. (2010). The relation between competition and innovation: Empirical results and implementation into WorldScan, CPB Netherlands Bureau for Economic Policy Analysis, Sector: International Economics, Project: S6-147 Lissabon concurrentie en innovatie (MODELS III), No. 242.

  • INSEAD, WIPO (2012). The Global Innovation Index 2012: Stronger Innovation Linkages for Global Growth, Fontainebleau.

  • Jenkins, S. (2017). The measurement of income inequality. In Economic inequality and poverty: International perspectives (pp. 17-52). Routledge.

  • Jessop, B. (2013). The complexities of competition and competitiveness: challenges for competition law and economic governance in variegated capitalism. Asian Capitalism and the Regulation of Competition: Towards a Regulatory Geography of Global Competition Law, 96-120. [Accessed 9 Jun. 2018].

  • Kinoshita, Y. (2000). “R&D and Technology Spillovers Via FDI: Innovation and Absorptive Capacity (November 2000)”. William Davidson Institute Working Paper No. 349. Available at SSRN: or

  • Lešera, V. J., Šircaab, N. T., Dermola, V., & Trunka, A. (2018). “Career Opportunities for PhD Graduates in the knowledge-based Economy: Case of Slovenia”. Procedia-Social and Behavioral Sciences, Vol. 238, pp. 104-113.

  • Machlup, F. (1962). The production and distribution of knowledge in the United States (Vol. 278). Princeton university press.

  • Mowery, D. C. (2012). “Defense-related R&D as a model for “Grand Challenges” technology policies”. Research Policy, Vol. 41, No. 10, pp. 1703-1715.

  • Norman, W., & MacDonald, C. (2004). “Getting to the bottom of “triple bottom line”“. Business Ethics Quarterly, Vol. 14, No. 2, pp. 243-262.

  • OECD (1996). “The knowledge based economy”. Retrieved from

  • Porter, M. E. (2011). Competitive advantage of nations: creating and sustaining superior performance (Vol. 2). New York: Simon and Schuster.

  • Powell, W. W., & Snellman, K. (2004). “The knowledge economy”. Annual Review of Sociology., Vol. 30, pp. 199-220.

  • Priede, J., & Neuert, J. (2015). “Competitiveness Gap of the European Union Member Countries in the Context of Europe 2020 Strategy”. Procedia-Social and Behavioral Sciences, Vol. 207, pp. 690-699.

  • Ryzhkova, E., & Prosvirkin, N. (2015). “Cluster initiatives as a competitiveness factor of modern enterprises”. European Research Studies, Vol. 18, No. 3, pp. 21-30.

  • Schumpeter A.J. (1942). Capitalism, Socialism, and Democracy. New York: Harper Brothers.

  • Simonin, B.L. (1999). “Ambiguity and the process of knowledge transfer in strategic alliances”. Strategic management journal, Vol. 20, No. 7, pp. 595-623.

  • Skrodzka, I. (2016). “Knowledge-Based Economy in the European Union–Cross-country Analysis”. STATISTICS, Vol. 17, No. 2, pp. 281-294.

  • Stelzer I.M. (2002). “Innovation, price competition and the ‘tilt’ of competition policy”, Economic Affairs, Vol. 22, No.4, pp. 25-31.

  • Stevens, J. (2002). Applied multivariate statistics for the social sciences, 4th ed., Lawrence Erlbaum, Mahwah, NJ.

  • Strat, V.A., Nancu, D., Begu, L.S., Dan, M.C., Hadad, S. (2018). “Directing renewable energy-oriented Small and Medium Enterprises (SMEs) towards rural areas”, Sustainability, under revision.

  • Tabachnick, B.G. & Fidell, L.S., (2007). Using multivariate statistics, 5th edn., Pearson, Boston, MA.

  • United Nations Statistics Division. (2013). “Composition of macro geographical (continental) regions, geographical sub-regions, and selected economic and other groupings”. Available online

  • Van Rompuy, H. (2012). “Remarks by President Herman Van Rompuy following the European Council”, Available online

  • Vatamanescu, E.M., Nistoreanu, B.G., & Mitan, A. (2017). “Competition and consumer behavior in the context of the digital economy”. Amfiteatru Economic, Vol. 19, No. 45, pp. 354-366.

  • Vizitiu, C., Agapie, A., Paiusan, R., Hadad, S., & Nastase, M. (2018). “Adapting corporate entrepreneurship assessment instrument for Romania”. South African Journal of Business Management, Vol. 49, No. 1, pp. 7, 1-7.

  • Voinescu, R., & Moisoiu, C. (2015). “Competitiveness, theoretical and policy approaches. Towards a more competitive EU”. Procedia Economics and Finance, Vol. 22, pp. 512-521.

  • World Bank (2009, 2012). “Measuring Knowledge in the World’s economies, Knowledge for Development, Retrieved from

  • World Economic Forum (2013). “The Global Competitiveness Report 2012–2013”, SRO-Kundig, Switzerland.

  • World Economic Forum (2016). “The Global Competitiveness Report 2015–2016”, SRO-Kundig, Switzerland Available online

  • Zhang H., Shu C., Jiang X., Malter A.J. (2010). “Managing Knowledge for Innovation: The Role of Cooperation, Competition, and Alliance Nationality”, Journal of International Marketing, Vol. 18, No. 4, pp. 74-94.

  • **World Bank Database


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