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The article discusses the issues of technological medical specializations in the regions of Central and Eastern Europe. Using a tool in the form of a proprietary concordance table f:IPC→MedTech and the index of relative comparative advantage - Balassa's Revealed Comparative Advantage - it seeks to answer the question about the trends and dynamics of medical technology in 56 regions of 11 countries which acceded to the European Union after 2003. The main objectives of the research are: The identification of technological medical specializations of regions of Central and Eastern Europe, and evaluation of their differentiation by interregional arrangement. The main findings derived from this research are: (1) The regions with the highest number of medical technology, where comparative advantage is maintained are mainly capital regions, (2) out of the 28 selected fields of medical technology, 10 of them are not developed in the regions covered by the survey. (original abstract)
Twórcy
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- Jagiellonian University, Krakow, Poland
autor
- Jagiellonian University Krakow, Poland
Bibliografia
- Archibugi, D. (1992), Patenting as an indicator of technological innovation: A Review, Science and Public Policy, 10, pp. 357-368.
- Balassa, B. (1965), Trade Liberalisation and "Revealed" Comparative Advantage, The Manchester School, 33(2), pp. 99-123.
- Balassa, B. (1963), An Empirical Demonstration of Classical Comparative Cost Theory, The Review of Economics and Statistics, 45(3), pp. 231-238.
- Basberg, B. (1982), Technological Change in the Norwegian Whaling Industry: A Case Study of the Use of Patents Statistics as a Technology Indicator, Research Policy, 11(3), pp. 163-71.
- Chor, D. (2010), Unpacking sources of comparative advantage: A quantitative approach, Journal of International Economics, 82, pp. 152-167.
- Costinot, A., Donaldson, D. i Komunjer, I. (2012), What goods do countries trade? A quantitative exploration of Ricardo's Ideas, Review of Economic Studies, 79, pp. 581-608.
- Eaton, J., Kortum, S. (2002), Technology, Geography, and Trade, Econometrica, 70, pp. 1741-1779.
- Everitt, B., Landau, S., Leese, M. i Stahl, D. (2011), Cluster Analysis, West Sussex, UK: John Willey & Sons, pp. 61-69 oraz pp. 71-98.
- Golub, S., Hsieh, Ch. (2000), Classical Ricardian Theory of Comparative Advantage Revisited, Review of International Economics, 8(2), pp. 221-234.
- Gomułka, S. (1998), The Theory of Technological Change and Economic Growth, Warszawa: CASE.
- Grabiński, T. (1984), Wielowymiarowa analiza porównawcza w badaniach dynamiki zjawisk ekonomicznych, AE w Krakowie, seria specjalna: monografie, No. 61, Kraków.
- Grabiński, T., Wydymus, S., Zeliaś, A. (1989), Metody taksonomii numerycznej w modelowaniu zjawisk społeczno-gospodarczych, PWN, Warszawa.
- Griliches, Z. (1990), Patent Statistics as Economic Indicators: A Survey, Journal of Economic Literature, 28, pp. 1661-1707.
- Hinze, S., Schmoch U. (2005), Opening the Black Box. Analytical approaches and their impact on the outcome of statistical patent analyses, In: W. Glänzel, H. Moed, U. Schmoch (red.), Handbook of Quantitative Science and Technology Research: The Use of Publication and Patent Statistics in Studies on R&D Systems, Dordrecht/Boston/London: Kluwer Academic Publishers, pp. 215-235.
- Kaufman, L., Rousseeuw P. (2005), Finding Groups in Data: An Introduction to Cluster Analysis, West Sussex, UK: John Willey & Sons, pp. 12-21, pp. 37-53.
- Kerr, W. R. (2009), Heterogeneous Technology Diffusion and Ricardian Trade Patterns, Unpublished Manuscript, Harvard Business School.
- Leromain, E., Orefice, G. (2013), New Revealed Comparative Advantage Index: dataset and empirical distribution, CEPII Working Paper.
- Levchenko, A., Zhang, J. (2012), The Evolution of Comparative Advantage: measurement and Welfare implications, Economic Policy, 27(72), 567-602.
- Malerba, F., Orsenigo, L. (1995), Schumpeterian Patterns of Innovation, Cambridge Journal of Economics, Oxford University Press, 19(1), pp. 47-65.
- OECD (2014), The OECD Science, Technology and Industry Outlook 2014, OECD Publishing.
- OECD (2009), Patent Statistics Manual, Paris: OECD.
- Panek, T., Zwierzchowski, J. (2013), Statystyczne metody wielowymiarowej analizy porównawczej. Teoria i zastosowania, Oficyna Wydawnicza SGH, Warszawa.
- Pavitt, K. (1985), Patent statistics as indicators of innovation activities, Scientometrics, 7, pp. 77-99.
- Schmoch, U. (2008), Concept of a Technology Classification for Country Comparisons. Final Report to the World Intellectual Property Organisation, Karlsruhe: Fraunhofer Institute for Systems and Innovation Research.
- Schumpeter, J. (1934), The Theory of Economic Development, Cambridge: Harvard University Press.
- Sneath, P. H. A., Sokal, R. R. (1973), Numerical Taxonomy, W.H. Freeman, San Francisco.
- Stanisz, A. (2007), Przystępny kurs statystyki z zastosowaniem STATISTICA PL na przykładach z medycyny, Tom 3, Analizy wielowymiarowe, StatSoft Polska, Kraków.
- Stern, R. M. (1962), British and American Productivity and Comparative Costs in International Trade, Oxford Economic Papers, 14, pp. 275-303.
- Stern, S., Porter, M. E. i Furman, J. L. (2000), The Determinants of National Innovative Capacity, Working Paper, 7876, Cambridge: National Bureau of Economic Research.
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bwmeta1.element.ekon-element-000171444170