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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. Sascha O. Becker & Klaus Wohlrabe, 2008. "European Data Watch: Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 128(2), pages 307-319.
    18. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    19. Oliver Falck & Stefan Kipar & Ludger Wößmann, 2011. "Innovationstätigkeit von Unternehmen : die Rolle von Qualifikationen, Kooperationen und Clusterpolitik," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 38.
    20. Argentino Pessoa, 2014. "Agglomeration and regional growth policy: externalities versus comparative advantages," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 1-27, August.
    21. repec:zbw:bofrdp:2015_027 is not listed on IDEAS
    22. Duranton, Gilles & Puga, Diego, 2014. "The Growth of Cities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 5, pages 781-853, Elsevier.
    23. James R. Brown & Gustav Martinsson, 2019. "Does Transparency Stifle or Facilitate Innovation?," Management Science, INFORMS, vol. 65(4), pages 1600-1623, April.

    More about this item

    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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