The analysis of innovation input - output relationships in EU member states

Authors

  • Arkadiusz Kijek Maria Curie-Skłodowska University in Lublin
  • Tomasz Kijek University of Life Sciences in Lublin

DOI:

https://doi.org/10.2478/v10103-009-0040-5

Abstract

This article presents some findings of an analysis of innovation input - output relationship in EU member states. The first section of the paper considers the role of innovation in economic growth with particular attention to the new endogenous growth models. In the second part, the dichotomous approach to innovation and its measures is presented. The last section contains the methodology and outcome of research. The results of the study show that R&D expenditures, ICT and human capital are the key innovation inputs that affect such innovation outputs as innovation and patent propensity and new-to-market sales.

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References

Adams R., Bessant J., Phelps R. (2006), Innovation management measurement: a review, ‘International Journal of Management Reviews’, Vol. 8, No. 1
Google Scholar

Aghion P., Howitt P. (1992), A model of growth through creative destruction, ‘Econometrica’, Vol. 60, No. 2
Google Scholar

Arrow K. J. (1962), The economic implications of learning by doing, ‘Review of Economic Studies’, Vol. 29, No. 1
Google Scholar

Crosby M. (2000), Patents, innovation and growth, ‘Economic Record’, Vol. 76, No. 234
Google Scholar

Denison E. (1962), The sources of economic growth in the United States and the alternatives before us, Committee for Economic Development, New York
Google Scholar

Freeman C., Soete L. (1999), The economics of industrial innovation, Pinter, London
Google Scholar

Hair J. F., Black W. C., Babin B. J., Anderson R. E., Tatham R. L. (1998), Multivariate Data Analysis, 5th edition, Prentice Hall International, Upper Saddle River, New Jersey
Google Scholar

Hollanders H., Cruysen A. (2008), Rethinking the European Innovation Scoreboard: A New Methodology for 2008-2010, Unu-Merit, Maastricht
Google Scholar

Hotelling H. (1935), The Most Predictable Criterion, ‘Journal of Educational Psychology’, Vol. 26
Google Scholar

Kaldor N. (1957), A Model of Economic Growth, ‘Economic Journal’, Vol. 67
Google Scholar

Kennedy C., Thirlwall A. P. (1972), Technical Progress: A Survey, ‘Economic Journal’, vol. 82
Google Scholar

Kimberly J. R. (1981), Managerial innovation, [in:] Nystrom P. C. and Starbuck W. H. (Ed), Hand Book of Organization Design, Oxford University Press, Oxford
Google Scholar

Kleinknecht A., Montfort K., Brouwer E. (2002), The Non-Trivial Choice between Innovation Indicators, ‘Economics of Innovation and New Technology’, vol. 11, issue 2
Google Scholar

LeBel P. (2008), The role of creative innovation in economic growth: Some international comparisons, ‘Journal of Asian Economics’, Vol. 19
Google Scholar

Lucas R. (1988), On the Mechanics of Economic Development, ‘Journal of Monetary Economics’
Google Scholar

Marinell G. (1990), Multivariate Verfahren, 3rd edition, Oldenburg Publisher, Munich
Google Scholar

Oslo manual. Guidelines for collecting and interpreting innovation data, OECD, 2005
Google Scholar

Plessis M. D. (2007), The role of knowledge management in innovation, ‘Journal of Knowledge Management’, Vol. 11, No. 4
Google Scholar

Romer P. (1986), Increasing Returns and Long-Run Growth, ‘Journal of Political Economy’, Vol. 94, No. 5
Google Scholar

Romer P. (1990), Endogenous technological change, ‘Journal of Political Economy’, Vol. 98, No. 5
Google Scholar

Rose S., Shipp S., Lal B., Stone A. (2009), Frameworks for Measuring Innovation: Initial Approaches, Athena Alliance, Washington
Google Scholar

Rothwell R. (1992), Successful Industrial Innovation: Critical Factors for the 1990's, ‘R and D Management’, vol. 22, no. 3
Google Scholar

Solow R. (1957), Technical Change and the Aggregate Production Function, ‘Review of Economics and Statistics’, Vol. 39
Google Scholar

Stevens J. P. (2002), Applied Multivariate Statistics for the Social Science, 4th edition, Lawrence Erlbaum Associates, Mahwah, New Jersey
Google Scholar

Thompson B. (1984), Canonical Correlation Analysis, Sage University Paper series on Qualitative Applications in the Social Sciences, No. 47, Sage Publications, London
Google Scholar

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Published

2010-12-16

How to Cite

Kijek, A., & Kijek, T. (2010). The analysis of innovation input - output relationships in EU member states. Comparative Economic Research. Central and Eastern Europe, 13(3), 93–106. https://doi.org/10.2478/v10103-009-0040-5

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Articles