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Measuring the persistence in innovation in Spanish manufacturing firms: empirical evidence using discrete-time duration models

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  • Ángela Triguero
  • David Córcoles
  • María C. Cuerva

Abstract

This paper measures the level of persistence in innovation using a large representative sample of Spanish manufacturing firms for the period 1990-2008. We determine survival in innovation activities using discrete-time duration models, which control for some of the existing problems in the continuous-time duration models used in previous studies (namely, unobserved heterogeneity and the proportional hazards assumption). This paper examines the relationship between the firm-specific characteristics of technological regimes and the persistence measured by innovative spells at the firm level. The results show that high technological opportunities, patents, cumulativeness of learning based on previous experience and accumulated R&D, as well as the use of generic knowledge provided by universities enhance persistence in innovative activity.

Suggested Citation

  • Ángela Triguero & David Córcoles & María C. Cuerva, 2014. "Measuring the persistence in innovation in Spanish manufacturing firms: empirical evidence using discrete-time duration models," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(5-6), pages 447-468, September.
    • Handle: RePEc:taf:ecinnt:v:23:y:2014:i:5-6:p:447-468
    DOI: 10.1080/10438599.2014.895514
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    References listed on IDEAS

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    1. Emmanuel Duguet & Stéphanie Monjon, 2004. "Is innovation persistent at the firm Level. An econometric examination comparing the propensity score and regression methods," Cahiers de la Maison des Sciences Economiques v04075, Université Panthéon-Sorbonne (Paris 1).
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    Cited by:

    1. Bianchini, Stefano & Pellegrino, Gabriele, 2019. "Innovation persistence and employment dynamics," Research Policy, Elsevier, vol. 48(5), pages 1171-1186.
    2. Córcoles, David & Triguero, Ángela & Cuerva, María Carmen, 2016. "Comparing persistence of product and process innovation: A discrete-time duration analysis of innovation spells," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-35.
    3. Guarascio, Dario & Tamagni, Federico, 2019. "Persistence of innovation and patterns of firm growth," Research Policy, Elsevier, vol. 48(6), pages 1493-1512.
    4. Mañez, J.A. & Love, J.H., 2020. "Quantifying sunk costs and learning effects in R&D persistence," Research Policy, Elsevier, vol. 49(7).
    5. Isabel Busom & Beatriz Corchuelo & Ester Martínez-Ros, 2017. "Participation inertia in R&D tax incentive and subsidy programs," Small Business Economics, Springer, vol. 48(1), pages 153-177, January.
    6. 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.
    7. Rammer, Christian & Schubert, Torben, 2016. "Concentration on the few? R&D and innovation in German firms between 2001 and 2013," Discussion Papers "Innovation Systems and Policy Analysis" 54, Fraunhofer Institute for Systems and Innovation Research (ISI).
    8. Marta F. Arroyabe & Martin Schumann, 2022. "On the Estimation of True State Dependence in the Persistence of Innovation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 850-893, August.

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