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Innovative events

Author

Listed:
  • Max Nathan

    (University of Birmingham and CEP)

  • Anna Rosso

    (University of Milan and Centro Studi Luca d'Agliano)

Abstract

We take a fresh look at firms' innovation-productivity linkages, using novel data capturing new aspects of innovative activity. We combine UK administrative microdata, media and website content to develop experimental metrics - new product/service launches - for a large panel of SMEs. Extensive validation and descriptive exercises show that launches complement patents, trademarks and innovation surveys. We also establish connections between launches and previous innovative activity. We then link IP, launches and productivity, controlling for media exposure and firm heterogeneity. Launch activity is associated with higher SME productivity, especially in the service sector. High-quality launches and medium-size firms help drive this result.

Suggested Citation

  • Max Nathan & Anna Rosso, 2017. "Innovative events," Development Working Papers 429, Centro Studi Luca d'Agliano, University of Milano, revised 08 Apr 2019.
  • Handle: RePEc:csl:devewp:429
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    Cited by:

    1. Janna Axenbeck & Patrick Breithaupt, 2021. "Innovation indicators based on firm websites—Which website characteristics predict firm-level innovation activity?," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-23, April.
    2. Carolina Castaldi & Sandro Mendonca, 2021. "Regions and trademarks. Research opportunities and policy insights from leveraging trademarks in regional innovation studies," Papers in Evolutionary Economic Geography (PEEG) 2138, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Dec 2021.
    3. Axenbeck, Janna & Breithaupt, Patrick, 2019. "Web-based innovation indicators: Which firm website characteristics relate to firm-level innovation activity?," ZEW Discussion Papers 19-063, ZEW - Leibniz Centre for European Economic Research.
    4. Kinne, Jan & Axenbeck, Janna, 2018. "Web mining of firm websites: A framework for web scraping and a pilot study for Germany," ZEW Discussion Papers 18-033, ZEW - Leibniz Centre for European Economic Research.

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    Keywords

    innovation; productivity; ICT; data science;
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    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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