LENGYEL, BALÁZS and LEYDESDORFF, LOET (2015): The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated? Published in: Regional Statistics , Vol. 1, No. 5 (July 2015): pp. 3-24.
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Abstract
In this study, we show how internationalization and foreign-owned firms influence synergies in the regional innovation systems of Hungary. We first distinguish three innovation system functions (knowledge exploitation, knowledge exploration, and organizational control) operating in regions and study their interactions using entropy statistics. The functions and their interactions are measured by analysing the distribution of firms in terms of geographical location, organizational size (number of employees), technologies (NACE codes of the OECD), and ownership (foreign versus domestic share in registered stock) in the 2005. Synergy is defined as mutual information among the three dimensions; a fourth dimension is added in order to bring internationalization (FDI) into the model. The factor is relevant since the four-dimensional model explains the GDP contributions to regional development in Hungary, whereas the three-dimensional model does not. We find that regional innovation systems in Hungary are self-organized differently, in relation to a relatively small number of foreign firms. These firms have a large positive effect on synergy in regions between the Hungarian capital and the Austrian border. However, FDI has negative effects on domestic synergy in the lagging eastern and southern provinces of the country.
Item Type: | MPRA Paper |
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Original Title: | The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated? |
English Title: | The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated? |
Language: | English |
Keywords: | regional innovation systems, innovation system function, synergy, entropy, foreign firms |
Subjects: | B - History of Economic Thought, Methodology, and Heterodox Approaches > B5 - Current Heterodox Approaches > B52 - Institutional ; Evolutionary O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O18 - Urban, Rural, Regional, and Transportation Analysis ; Housing ; Infrastructure P - Economic Systems > P2 - Socialist Systems and Transitional Economies > P25 - Urban, Rural, and Regional Economics R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R12 - Size and Spatial Distributions of Regional Economic Activity |
Item ID: | 73945 |
Depositing User: | Géza Tóth |
Date Deposited: | 23 Sep 2016 11:23 |
Last Modified: | 26 Sep 2019 08:53 |
References: | Acs, Z.–Anselin, L.–Varga, A. (2002): Patents and innovation counts as measures of regional production of knowledge Research Policy 31 (7): 1069–1085. Acs, Z.–O’Gorman, C.–Szerb, L.–Terjesen, S. (2007): Could the Irish miracle be repeated in Hungary? Small Business Economics 28 (2–3): 123–142. Allen, P.M. (2001): Knowledge, ignorance and the evolution of complex systems In: Foster, J.–Metcalfe, J.S. (Eds.) Frontiers of evolutionary economics: competition, self-organization and innovation policy pp. 313–350., Edward Elgar, Cheltenham-Northampton. Asheim, B.T.–Isaksen, A. (2002): Regional innovation systems: the integration of local „sticky” and global „ubiquitous” knowledge Journal of Technology Transfer 27 (1): 77–86. Baum, J. A. C.–Li, S. X.–Usher, J. M. (2000): Making the next move: How experiential and vicarious learning shape the locations of chains’ acquisitions Administrative Science Quarterly 45 (4): 766–801. Békés, G.–Kleinert, J.–Toubal, F. (2009): Spillovers from multinationals to heterogeneous domestic firms: evidence from Hungary The World Economy 32 (10): 1408–1433. Biggiero, L. (2007): The location of multinationals in industrial district: knowledge transfer in biomedicals Journal of Technology Transfer 27 (1): 111–122. Blazek, J.–Uhlír, D. (2007): Regional innovation policies in the Czech Republic and the case of Prague: an emerging role of a regional level? European Planning Studies 15 (7): 871–888. Braczyk, H.J.–Cooke, P.–Heidenreich, M. (1998): Regional Innovation Systems: The Role of Governance in a Globalized World UCL Press, London. Boschma, R.–Frenken, K. (2006): Why is economic geography not an evolutionary science? Towards an evolutionary economic geography Journal of Economic Geography 6 (3): 273–302. Cantwell, J.–Iammarino, S. (1998): MNCs, technological innovation and regional systems in the EU: some evidence from the Italian case International Journal of the Economics of Business 5 (3): 383–408. Coase, R.H. (1937): The Nature of the Firm Economica 4 (16): 386–405. Cooke, P. (2001): Regional innovation systems, clusters, and the knowledge economy Industrial and Corporate Change 10 (4): 945–974. Cooke, P.–Heidenreich, M.–Braczyk, H.J. (2004): Regional Innovation Systems. Second Edition, The role of governance in a globalized world Routledge, London and New York. Cooke, P.–Leydesdorff, L. (2006): Regional development in the knowledge-based economy: the construction of advantage Journal of Technology Transfer 31 (1): 5–15. Dachs, B.–Ebersberger, B.–Lööf, H. (2008): The innovative performance of foreign-owned enterprises in small open economies Journal of Technology Transfer 33 (4): 393–406. Delorme, R. (2001): Theorizing complexity In: Foster, J.–Metcalfe, J.S. (Eds.) Frontiers of evolutionary economics: competition, self-organization and innovation policy pp. 80–108., Edward Elgar, Cheltenham-Northampton. Etzkowitz, H.–Leydesdorff, L. (2000): The Dynamics of Innovation: From National Systems and ‘Mode 2’ to a Triple Helix of University-Industry-Government Relations Research Policy 29 (2): 109–123. Ferragina, A.M.–Mazzotta, F. (2014): FDI spillovers on firm survival in Italy: absorptive capacity matters! Journal of Technology Transfer 39 (6): 859–897. Foster, J.–Metcalfe, J.S. (2001): Frontiers of evolutionary economics: competition, self-organization and innovation policy Edward Elgar, Cheltenham-Northampton. Frenken, K.–van Oort, F.–Verburg, T. (2007): ‘Related Variety, Unrelated Variety and Regional Economic Growth’ Regional Studies 41 (5): 685–697. Gibbons, M.–Limoges, C.–Nowotny, H.–Schwartzman, S.–Scott, P.–Trow, M. (1994): The new production of knowledge: The Dynamics of Science and Research in Contemporary Societies SAGE, London. Halpern, L.–Muraközy, B. (2007): Does distance matter in spillover? Economics of Transition 15 (4): 781–805. Havas, A. (2002): Does innovation policy matter in a transition country? The case of Hungary Journal of International Relations and Development 5 (4): 380–402. Hungarian Central Statistical Office (2007). National Accounts of Hungary, 2004-2005 Hungarian Central Statistical Office, Budapest. http://portal.ksh.hu/pls/ksh/docs/hun/xftp/idoszaki/monsz/monsz0405.pdf (downloaded from: 01. 08. 2015) Inzelt, A. (2008): The inflow of highly skilled workers into Hungary: a by-product of FDI Journal of Technology Transfer 33 (4): 422–438. Ivanova I.A.–Leydesdorff, L. (2014): A simulation model of the Triple Helix of university-industry-government relations and the decomposition of redundancy Scientometrics 99 (3): 927–948. Jaffe A.B.–Trajtenberg M.–Henderson R. (1993): Geographic localization of knowledge spillovers as evidenced by patent citations Quarterly Journal of Economics 108 (3): 577–598. Jakulin, A. (2005): Machine learning based on attribute interactions University of Ljubljana, Ljubljana. Johnston, R. J.–Gregory, D.–Pratt, G.–Watts, M. (2000): The Dictionary of Human Geography Blackwell, Oxford. Krippendorff, K. (2009): Ross Ashby’s information theory: a bit of history, some solutions to problems, and what we face today International Journal of General Systems 38 (2): 189–212. Lengyel, B.–Cadil, V. (2009): Innovation policy challenges in transition countries: foreign business R&D in the Czech Republic and Hungary Transition Studies Review 16 (1): 174-188. Lengyel, B.–Leydesdorff, L. (2011): Regional innovation systems in Hungary: The failing synergy at the national level Regional Studies 45 (5): 677–693. Lengyel, B.–Sebestyén, T.–Leydesdorff, L. (2013): Challenges for regional innovation policies in CEE countries: spatial concentration and foreign control of US patenting Science and Public Policy 42 (1): 1–14. Lengyel, B.–Szakálné Kanó, I. (2014): Regional growth in a dual economy: ownership, specialization and concentration in Hungary Acta Oeconomica 64 (3): 257–285. Leydesdorff, L.–Dolfsma, W.–van der Panne, G. (2006): Measuring the knowledge base of an economy in terms of Triple Helix relations among ‘technology, organization, and territory’ Research Policy 35 (2): 181–199. Leydesdorff L.–Fritsch M. (2006): Measuring the knowledge base of regional innovation systems in Germany in terms of a Triple Helix Dynamics Research Policy 35 (10): 1538–1553. Leydesdorff, L.–Ivanova, I. A. (2014): Mutual Redundancies in Inter-human Communication Systems: Steps Towards a Calculus of Processing Meaning Journal of the Association for Information Science and Technology 65 (2): 386–399. Leydesdorff, L.–Park, H. W.–Lengyel, B. (2014): A Routine for Measuring Synergy in University-Industry-Government Relations: Mutual Information as a Triple-Helix and Quadruple-Helix Indicator Scientometrics 99 (1): 27–35. Leydesdorff, L.–Perevodchikov, E.–Uvarov, A. (2015): Measuring Triple-Helix Synergy in the Russian Innovation Systems at Regional, Provincial, and National Levels Journal of the Association for Information Science and Technology 66 (6): 1229–1238. Leydesdorff, L.–Strand, Ø. (2013): The Swedish system of innovation: regional synergies in a knowledge-based economy Journal of the Association for Information Science and Technology 64 (9): 1890–1902 Leydesdorff, L.–Sun, Y. (2009): National and International Dimensions of the Triple Helix in Japan: University-Industry-Government versus International Co-Authorship Relations Journal of the American Society for Information Science and Technology 60 (4): 778–788. Loasby B. J. (2001): Time, knowledge and evolutionary dynamics: why connections matter Journal of Evolutionary Economics 11 (4): 393–412. Louca, F. (2001): Measuring complexity: puzzles and tentative solutions In: Foster, J.–Metcalfe, J.S. (Eds.) Frontiers of evolutionary economics: competition, self-organization and innovation policy pp. 278–306., Edward Elgar, Cheltenham-Northampton. Lundvall, B.-Å.–Johnson, B.–Andersen, E.S.–Dalum, B. (2002): National Systems of Production, Innovation and Competence Building Research Policy 31 (2): 213–231. Majumdar, S.K. (2009): Technology transfer by foreign firms and the utilization of competencies within Indian industry Journal of Technology Transfer 34 (1): 95–117. March, J.G. (1991): Exploration and exploitation in organizational learning Organization Science 2 (1): 71–87. Martin, R.–Sunley, P. (2007): Complexity thinking and evolutionary economic geography Journal of Economic Geography 7 (5): 573–601. McGill, W. J. (1954): Multivariate information transmission Psychometrika 19 (2): 97–116. Mêgnigbêto, E. (2014): Efficiency, unused capacity and transmission power as indicators of the Triple Helix of university-industry-government relationships Journal of Informetrics 8 (1): 284–294. Metcalfe, J. S.–Foster, J. (2004): Evolution and Economic Complexity Edward Elgar, Cheltenham–Northampton. Narula, R. (2002): Innovation systems and ‘inertia’ in R&D location: Norwegian firms and the role of systemic lock-in Research Policy 31 (5): 795–816. Radosevic, S. (2002): Regional Innovation Systems in Central and Eastern Europe: Determinants, Organizers and Alignments Journal of Technology Transfer 27 (1): 87–96. Radosevic, S.–Reid, A. (2006): Innovation policy for a knowledge-based economy in Central and Eastern Europe: driver of growth or new layer of bureaucracy? In Piech, K.–Radosevic, S. (Eds.) The knowledge-based economy in Central and Eastern European countries: countries and industries in a process of change pp. 295–313., Palgrave McMillan, London. Rama, R. (2008): Foreign investment innovation: a review of selected policies Journal of Technology Transfer 33 (4): 353–363. Shannon, C.E. (1948): A Mathematical theory of communication Bell System Technical Journal 27: 379–423 and 623–656. Storper, M. (1997): The Regional World – Territorial Development in a Global Economy Guilford Press, New York. Strand, Ø.–Leydesdorff, L. (2013): Where is synergy indicated in the Norwegian innovation system? Triple-Helix relations among technology, organization, and geography Technological Forecasting and Social Change 80 (3): 471–484. Suurna, M.–Kattel, R. (2010): Europeanization of innovation policy in Central and Eastern Europe Science and Public Policy 37 (9): 646–664. Theil, H. (1972): Statistical Decomposition Analysis North-Holland, Amsterdam and London. Tödtling, F.–Trippl M. (2005): One size fits all? Towards a differentiated regional innovation policy approach Research Policy 34 (8): 1203–1219. von Tunzelmann, N.–Nassehi, S. (2004). Technology policy, European Union enlargement, and economic, social and political sustainability Science and Public Policy 31 (6): 475–483. Ulanowicz, R. E. (1986): Growth and Development: Ecosystems Phenomenology Springer-Verlag, New York. Ulanowicz, R. E. (2009): The dual nature of ecosystem dynamics Ecological modelling 220 (16): 1886–1892. Yeung, R. W. (2008): Information Theory and Network Coding Springer, New York. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/73945 |