
INNOVATIVE TRENDS: ANALYZING AVERAGE INNOVATIVENESS CHANGES OVER TIME ACROSS EU MEMBER STATES
Abstract
This study investigates the dynamic changes in average innovativeness across European Union (EU) member states over time. Utilizing longitudinal data and statistical analyses, we assess the trajectory of innovation levels and identify trends within the EU. By examining key indicators of innovation, including research and development expenditure, patent filings, and innovation policy initiatives, we elucidate the evolving landscape of innovation within and across EU countries. Our findings contribute to a deeper understanding of innovation dynamics in the EU and provide insights into the factors driving changes in average innovativeness over time.
Keywords
Innovativeness, European Union, Longitudinal analysis
References
Acs, Z., Audretsch, D. B., Braunerhjelm, P., & Carlsson, B. (2009). The knowledge spillover theory of entrepreneurship. Small Business Economics, 32(1), 15-30.
Andersson, Å. E., & Beckmann, M. J. (2009). Economics of knowledge: theory, models and measurements. Cheltenham: Edward Elgar Publishing.
Andersson, M., & Ejermo, O. (2004). Sectoral knowledge production in Swedish regions 1993-1999. In Knowledge spillovers and knowledge management (pp. 143-170). Northampton, UK.
Balk, M. (1995). Axiomatic price index theory: a survey. International Statistical Review, 63, 69-95.
Balk, B. M. (2016a). A review of index number theory. In Wiley StatsRef: statistics reference online. John Wiley & Sons, Ltd.
Balk, B. M. (2016b). Various approaches to the aggregation of economic productivity indices. Pacific Economic Review, 21(4), 445-463.
Białek, J. (2007). Agregatowy indeks przeciętnej wydajności pracy. Wiadomości Statystyczne, 8, 1-13.
Białek, J., & Czajkowski, A. (2008). A proposition of the system of weights for aggregative indexes on the example of the index of work efficiency. Acta Universitatis Lodziensis, Folia Oeconomica, 216, 333-341.
Bogliacino, F., Piva, M., & Vivarelli, M. (2012). R&D and employment: An application of the LSDVC estimator using European data. Economics Letters, 116, 56-59.
Bogliacino, F., & Vivarelli, M. (2012). The job creation effect of R&D expenditures. Australian Economic Papers, 51, 96-113.
Chatzkel, J. L. (2004). Human capital: The rules of engagement are changing. Lifelong Learning Journal in Europe, 9(3), 139-145.
Clements, K. W., & Selvanathan, E. A. (2007). More on stochastic index numbers. Applied Economics, 39(5), 605-611.
Dobni, C. B. (2010). Achieving synergy between strategy and innovation: The key to value creation. International Journal of Business Science and Applied Management, 5(1), 48-58.
Drucker, P. F. (1992). The age of discontinuity: guidelines to changing our society. USA: Transaction Pubs.
European Commission. (2018). European Innovation Scoreboard 2018. Luxembourg: Publications Office of the European Union.
Feldmann, H. (2013). Technological unemployment in industrial countries. Journal of Evolutionary Economics, 23, 1099-1126.
Firszt, D. (2012). Uwarunkowania dyfuzji innowacji w polskiej gospodarce. Warszawa: CeDeWu.
Fisher, I. (1922). The making of index numbers. Boston: Houghton Mifflin.
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