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Determinants of Innovation Activities: Public Financing and Cooperation: Case Study of Czech Republic and Hungary

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Modeling Innovation Sustainability and Technologies

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

Abstract

Innovation represents one of the key factors in achieving competitive advantage of companies, hence the whole economies. Therefore, managers aim to acquire knowledge. Likewise public policy makers understand an importance of creating innovations and thus promote the generation and spread of positive effects through knowledge diffusion. In the context of modern innovation, the science-industry collaboration comes into its importance. Many foreign studies pointing to the fact, that this cooperation cannot be successful in each sector and that not every kind of innovation depends on the same knowledge flows. Therefore, we can notice inefficient attempts to cooperate in a number of cases, which are frequently accompanied by excessive use of national and European funds. The article aims to compare situation of companies in manufacturing industry in the Czech Republic and Hungary to analyze how is their growth of total turnover affected by (i) implementation of innovation (product and process); (ii) university-industry and government-industry collaboration; (iii) provision of public subsidies (national and European). We show, by using the multiple linear regression models, that cooperation with universities and with other enterprises within enterprise groups positively influences innovation activities. The results also show that public funds are more effectively provided in Hungary, more specifically the European funds. We provide comparison between Czech and Hungarian manufacturing industries and proposals how to improve the efficiency of national funds provision, which is not sufficient in these countries.

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References

  • Abramovitz M, David PA (1996) Technological change and the rise of intangible investments. The U.S. economy’s growth-path in the twentieth century. In: Employment and growth in the knowledge-based economy. OECD, Paris, pp 35–60

    Google Scholar 

  • Althoff Philippi D, Maccari EA, Cirani S, Brito C (2015) Benefits of university-industry cooperation for innovations of sustainable biological control. J Technol Manag Innov 10(1):17–28

    Article  Google Scholar 

  • Blumenthal D, Gluck M, Louis KS, Stoto MA, Wise D (1986) University-industry research relationships in biotechnology: implications for the university. Science 232(4756):1361–1366

    Article  Google Scholar 

  • Brown JR, Fazzari SM, Petersen BC (2009) Financing innovation and growth: cash flow, external equity, and the 1990s R&D boom. J Financ 64(1):151–185

    Article  Google Scholar 

  • Bruneel J, d’Este P, Salter A (2010) Investigating the factors that diminish the barriers to university–industry collaboration. Res Policy 39(7):858–868

    Article  Google Scholar 

  • Capello R, Faggian A (2005) Collective learning and relational capital in local innovation processes. Reg Stud 39(1):75–87

    Article  Google Scholar 

  • Cooke P, Uranga MG, Etxebarria G (1997) Regional innovation systems: institutional and organisational dimensions. Res Policy 26(4):475–491

    Article  Google Scholar 

  • Cowling K, Oughton C, Sugden R (1999) A reorientation of industrial policy: horizontal policies and targeting. In: Cowling K (ed) Industrial policy in Europe: theoretical perspectives and practical proposals. Routledge, London, pp 17–31

    Google Scholar 

  • Eom BY, Lee K (2010) Determinants of industry–academy linkages and, their impact on firm performance: the case of Korea as a latecomer in knowledge industrialization. Res Policy 39(5):625–639

    Article  Google Scholar 

  • Etzkowitz H, Leydesdorff L (eds) (1997) Universities and the global knowledge economy: a triple Helix of university–industry–government relations. Continuum, London

    Google Scholar 

  • Etzkowitz H, Leydesdorff L (2000) The dynamics of innovation: from national systems and “Mode 2” to a triple helix of university–industry–government relations. Res Policy 29(2):109–123

    Article  Google Scholar 

  • Eun JH, Keun L, Wu G (2006) Explaining the “university-run enterprises” in China: a new theoretical framework for university–industry relationship in developing countries and its applications to China. Res Policy 35:1329–1346

    Article  Google Scholar 

  • Eurostat (2015) Community innovation survey (CIS). Available at: http://ec.europa.eu/eurostat/web/microdata/community-innovation-survey

  • Feng F, Zhang L, Du Y, Wang W (2015) Visualization and quantitative study in bibliographic databases: a case in the field of university–industry cooperation. J Informet 9(1):118–134

    Article  Google Scholar 

  • García-Morales VJ, Jiménez-Barrionuevo MM, Gutiérrez-Gutiérrez L (2012) Transformational leadership influence on organizational performance through organizational learning and innovation. J Bus Res 65(7):1040–1050

    Article  Google Scholar 

  • Griliches Z (1992) The search of R&D spillovers. Scand J Econ 94:29–47

    Article  Google Scholar 

  • Gunday G, Ulusoy G, Kilic K, Alpkan L (2011) Effects of innovation types on firm performance. Int J Prod Econ 133(2):662–676

    Article  Google Scholar 

  • Halpern L, Muraközy B (2012) Innovation, productivity and exports: the case of Hungary. Econ Innov New Technol 21(2):151–173

    Article  Google Scholar 

  • Hashi I, Stojčić N (2013) The impact of innovation activities on firm performance using a multi-stage model: evidence from the community innovation survey 4. Res Policy 42(2):353–366

    Article  Google Scholar 

  • Hospers GJ, Desrochers P, Sautet F (2009) The next Silicon Valley? On the relationship between geographical clustering and public policy. Int Entrep Manag J 5(3):285–299

    Article  Google Scholar 

  • Jann B (2008) The Blinder-Oaxaca decomposition for linear regression models. Stata J 8(4):453–479

    Google Scholar 

  • Laperche B, Lefebvre G, Langlet D (2011) Innovation strategies of industrial groups in the global crisis: rationalization and new paths. Technol Forecast Soc Chang 78(8):1319–1331

    Article  Google Scholar 

  • López SF, Astray BP, Pazos DR, Calvo N (2014) Are firms interested in collaborating with universities? An open-innovation perspective in countries of the South West European space. Serv Bus 9:1–26

    Google Scholar 

  • Lundvall BA (1992) National systems of innovation: towards a theory of innovation and interactive learning. Printer Publishers, London

    Google Scholar 

  • Malmberg A, Solvell O, Zander I (1996) Spatial clustering, local accumulation of knowledge and firm competitiveness. Geografiska Annaler. Ser B, Hum Geogr 78:85–97

    Article  Google Scholar 

  • Matatkova K, Stejskal J (2013) Descriptive analysis of the regional innovation system – novel method for public administration authorities. Trans Rev Adm Sci 39:91–107

    Google Scholar 

  • Mole KF, Bramley G (2006) Making policy choices in nonfinancial business support: an international comparison. Environ Plann C 24(6):885–908

    Article  Google Scholar 

  • Nishimura J, Okamuro H (2011) Subsidy and networking: the effects of direct and indirect support programs of the cluster policy. Res Policy 40(5):714–727

    Article  Google Scholar 

  • Okamuro H, Nishimura J (2013) Impact of university intellectual property policy on the performance of university-industry research collaboration. J Technol Transf 38(3):273–301

    Article  Google Scholar 

  • Partha D, David PA (1994) Toward a new economics of science. Res Policy 23(5):487–521

    Article  Google Scholar 

  • Pavitt K (1984) Sectoral patterns of technical change: towards taxonomy and a theory. Res Policy 13(6):343–373

    Article  Google Scholar 

  • Peri G (2005) Determinants of knowledge flows and their effect on innovation. Rev Econ Stat 87(2):308–322

    Article  Google Scholar 

  • Powell WW, Snellman K (2004) The knowledge economy. Ann Rev Sociol 30:199–220

    Article  Google Scholar 

  • Prokop V, Stejskal J (2015) Impacts of local planning to competitiveness index change – using approximate initial analysis to the Czech regions. WSEAS Trans Bus Econ 12(1):279–288

    Google Scholar 

  • Rodríguez-Pose A, Di Cataldo M (2014) Quality of government and innovative performance in the regions of Europe. J Econ Geogr 15(4):673–706

    Article  Google Scholar 

  • Siegel DS, Waldman DA, Atwater LE, Link AN (2003) Commercial knowledge transfers from universities to firms: improving the effectiveness of university–industry collaboration. J High Technol Managem Res 14(1):111–133

    Article  Google Scholar 

  • Sonne L (2012) Innovative initiatives supporting inclusive innovation in India: social business incubation and micro venture capital. Technol Forecast Soc Chang 79(4):638–647

    Article  Google Scholar 

  • Srholec M (2014) Cooperation and innovative performance of firms: panel data evidence from the Czech Republic, Norway and the UK. J Knowl Econ 5(1):133–155

    Article  Google Scholar 

  • Stejskal J, Hajek P (2015) Modelling knowledge spillover effects using moderated and mediation analysis–the case of Czech high-tech industries. Lect Notes Bus Inform Process 224:329–341

    Article  Google Scholar 

  • Transparency International (2016) Corruption perceptions index 2016. Available at: https://www.transparency.org/news/feature/corruption_perceptions_index_2016

  • Ulku H (2007) R&D, innovation, and growth: evidence from four manufacturing sectors in OECD countries. Oxf Econ Pap 59(3):513–535

    Article  Google Scholar 

  • Vlachogianni A, Kassomenos P, Karppinen A, Karakitsios S, Kukkonen J (2011) Evaluation of a multiple regression model for the forecasting of the concentrations of NO x and PM 10 in Athens and Helsinki. Sci Total Environ 409(8):1559–1571

    Article  Google Scholar 

  • Wolf C (1993) Markets or governments: choosing between imperfect alternatives, 2nd edn. MIT Press, Cambridge, MA

    Google Scholar 

  • World Economic Forum (2015) World economic forum dataset – competitiveness rankings. Available at: http://reports.weforum.org/global-competitiveness-report-2014-2015/rankings/

  • Yam RC, Lo W, Tang EP, Lau AK (2011) Analysis of sources of innovation, technological innovation capabilities, and performance: an empirical study of Hong Kong manufacturing industries. Res Policy 40(3):391–402

    Article  Google Scholar 

Download references

Acknowledgments

This article was created as part of the resolution of the research task No. 17-11795S financially supported by the Grant Agency of the Czech Republic.

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Correspondence to Viktor Prokop .

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Prokop, V., Stejskal, J. (2018). Determinants of Innovation Activities: Public Financing and Cooperation: Case Study of Czech Republic and Hungary. In: Dias, A., Salmelin, B., Pereira, D., Dias, M. (eds) Modeling Innovation Sustainability and Technologies. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-67101-7_7

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