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Inside innovation persistence: New evidence from Italian micro-data

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  • Antonelli, Cristiano
  • Crespi, Francesco
  • Scellato, Giuseppe

Abstract

This paper contributes the analysis of the persistence of innovation activities, as measured by different innovation indicators and explores its past and path dependent characteristics. The study provides new insights on the role of R&D investments in innovation persistence and analyses differentiated patterns of persistence across product and process innovation, by accounting for complementarity effects between the two types of innovative behaviour. The empirical analysis is based on a sample of 451 Italian manufacturing companies observed during the years 1998–2006. Results highlight the relevance of innovation persistence. The highest level of persistence is found for R&D-based innovation activities, witnessing the actual presence of significant entry and exit barriers. Moreover, we obtain more robust evidence of persistence for product innovation than for process innovation when complementarity effects between the two types of innovation are accounted for.

Suggested Citation

  • Antonelli, Cristiano & Crespi, Francesco & Scellato, Giuseppe, 2012. "Inside innovation persistence: New evidence from Italian micro-data," Structural Change and Economic Dynamics, Elsevier, vol. 23(4), pages 341-353.
    • Handle: RePEc:eee:streco:v:23:y:2012:i:4:p:341-353
    DOI: 10.1016/j.strueco.2012.03.002
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    More about this item

    Keywords

    Innovation; Persistence; Past dependence;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General

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