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Determinants of Firm Innovation - Evidence from German Panel Data

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  • Stefan Kipar

Abstract

In light of its importance of innovation on the political agenda it is necessary to provide guidance to decision makers how innovation can effectively be fostered in practice and to disentangle and evaluate the effects of the determinants suggested by the literature. This thesis focuses on the causal evaluation of three determinants of innovation that can all be influenced by politicians: cluster policies that are supposed to foster knowledge spillovers, increased competition through domestic entry in the form of spinoffs, and the availability of bank credit. This thesis, for the most part, utilizes the Ifo Innovation Survey, an annual survey covering the manufacturing sector in Germany.

Suggested Citation

  • Stefan Kipar, 2012. "Determinants of Firm Innovation - Evidence from German Panel Data," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 45.
    • Handle: RePEc:ces:ifobei:45
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    2. Nadine Fabritz, 2015. "ICT as an Enabler of Innovation. Evidence from German Microdata," ifo Working Paper Series 195, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

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    17. repec:zbw:bofrdp:2015_027 is not listed on IDEAS
    18. Edward L. Glaeser & William R. Kerr, 2009. "Local Industrial Conditions and Entrepreneurship: How Much of the Spatial Distribution Can We Explain?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 18(3), pages 623-663, September.
    19. Feldman, Maryann P. & Kogler, Dieter F., 2010. "Stylized Facts in the Geography of Innovation," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 381-410, Elsevier.
    20. Maskus, Keith E. & Neumann, Rebecca & Seidel, Tobias, 2012. "How national and international financial development affect industrial R&D," European Economic Review, Elsevier, vol. 56(1), pages 72-83.
    21. James R. Brown & Gustav Martinsson, 2019. "Does Transparency Stifle or Facilitate Innovation?," Management Science, INFORMS, vol. 65(4), pages 1600-1623, April.
    22. Edward L. Glaeser & Joshua D. Gottlieb, 2009. "The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States," Journal of Economic Literature, American Economic Association, vol. 47(4), pages 983-1028, December.
    23. Martinsson, Gustav, 2009. "Finance and R&D Investments - is there a debt overhang effect on R&D investments?," Working Paper Series in Economics and Institutions of Innovation 174, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.

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    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • D00 - Microeconomics - - General - - - General
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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