Business cycle and innovation activity in medium-high and high technology industry in Poland

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Abstract

This article examines differences in an impact of business cycle phases on innovation activity in medium-high and high technology industry in Poland. It is assumed that each business cycle phase influences innovation activity in the same fashion, but its impact varies and it depends on the firm’s innovation activity. The higher innovation activity the less impact of business cycle. The scope of the survey relates to innovation in MHT and HT industry in Poland. The data concerns the innovation at the firm level and the diffusion “new for the company”. Innovation activity is defined by the following activities: (1) expenditure on research and development and investments in fixed assets not used so far such as: a)buildings, premises and land; b) machinery and equipment, c) computer software; (2) implementation of new products and technological processes and (3) innovation cooperation. The methodological part of the analysis includes a logit modeling. The survey includes 1355 companies. Business cycle has a great influence on innovation activity in MTH and HT industry in Poland. The influence of recovery phase is positive whereas both stagnation and recession phases decrease the probability of innovation activity. The character of influence depends on the propensity to take innovation activity. The higher level of innovation activity the enterprises present the less influence of business cycle they get.

1. Clark J., Freeman C., Soete L. (1981), Long waves, inventions, and innovations,. Futures nr 13 (4).

2. Dolińska M.(2010), Innowacje w gospodarce opartej na wiedzy, PWE, Warszawa.

3. Dwojacki P., Hlousek J. (2008), Zarządzanie innowacjami, Centrum Badawczo-Rozwojowe, Gdańsk.

4. Geroski P., Walters C.F. (1995), Innovative Activity Over the Business Cycle, Economic Journal, 431.

5. Hatzichronoglou, T. (1997), “Revision of the High-Technology Sector and Product Classification”, OECD Science, Technology and Industry Working Papers, No. 1997/02. doi: 10.1787/134337307632.

6. Janasz W., Kozioł-Nadolna K. (2011), Innowacje w organizacji, PWE, Warszawa.

7. Kleinknecht A., Verspagen B. (1990), Demand and Innovation: Schmookler Re-examined, Research Policy, 19 (4).

8. Liao T.F. (1994), Interpreting probability models: Logit, probit, and other generalized linear models, Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-101, DA: Sage, Thousand Oaks.

9. Lipiec-Zajchowska M. (red.) (2003), Wspomaganie procesów decyzyjnych. Ekonometria, Wyd. C.H. Beck, Warszawa.

10. Maddala G. S. (2006), Ekonometria, PWN, Warszawa.

11. Mensch G.O. (1979), Stalemate In Technology – Innovations Overcome the Depression, Ballinger, Cambridge MA.

12. Oslo Manual (2005), Guidelines for collecting and interpreting innovation data, Third edition, Paris, 2005.

13. Pomykalski A. (2001), Zarządzanie innowacjami, PWN, Warszawa-Łódź.

14. Rogut A. (2007), Modele sektorowego systemu innowacji. Raport ze studiów literaturowych, Społeczna Wyższa Szkoła Przedsiębiorczości i Zarządzania w Łodzi, Łódź.

15. Schmookler J.(2009), Invention and Economic Growth, Harvard University Press, Cambridge Mass za S. Kubielas, Innowacje i luka technologiczna w gospodarce globalnej opartej na wiedzy, Uniwersytet Warszawski, Warszawa.

16. Stanisz A. (2007), Przystępny kurs statystki, tom 2, Statsoft, Kraków.

17. Stawasz E. (1999), Innowacje a mała firma, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.

18. Świadek A. (2014), The economic cycle and the innovation activity of the Polish Industry System, Institute of Economic Research Working Papers, No. 50/2014, Toruń.

19. Świtalski W. (2005), Innowacje i konkurencyjność, WUW, Warszawa.

20. Welfe A. (1998), Ekonometria, PWE. Warszawa.

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