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Reverse causality in the R&D – patents relationship: an interpretation of the innovation persistence

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  • Baraldi, Anna Laura
  • Cantabene, Claudia
  • Perani, Giulio

Abstract

Starting from the failure of the R&D-patents traditional relationship, when time-series and/or within industry dimensions are included in the empirical analysis, the present work tries to contribute to the empirical literature in two directions. Firstly, it perform a Granger causality test on the theoretical presumption of a reverse patents→R&D link as an explanation of the failure of the traditional relationship. Second, assuming the reverse patents-R&D causality, we test and interpret the lag structure of such a relationship as showing the effective patent life which firms expect in the two Schumpeterian patterns of innovations they belong to. To the light of the effective patent life, we offer a further explanation of innovation persistence which overturns the findings of the existing literature on persistence.

Suggested Citation

  • Baraldi, Anna Laura & Cantabene, Claudia & Perani, Giulio, 2013. "Reverse causality in the R&D – patents relationship: an interpretation of the innovation persistence," MPRA Paper 47684, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:47684
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    2. Rammer, Christian & Schubert, Torben, 2016. "Concentration on the few? R&D and innovation in German firms 2001 to 2013," ZEW Discussion Papers 16-005, ZEW - Leibniz Centre for European Economic Research.
    3. Rammer, Christian & Schubert, Torben, 2018. "Concentration on the few: mechanisms behind a falling share of innovative firms in Germany," Research Policy, Elsevier, vol. 47(2), pages 379-389.
    4. Annita Nugent & Ho Fai Chan & Uwe Dulleck, 2022. "Government funding of university-industry collaboration: exploring the impact of targeted funding on university patent activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 29-73, January.

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    More about this item

    Keywords

    R&D; patents; innovation persistence; Granger causality;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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