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Determinants of research-based spin-offs survival

Author

Listed:
  • Oscarina Conceição

    () (DINÂMIA-CET, University Institute of Lisbon, Lisbon, Portugal & Polytechnic Institute of Cavado and Ave)

  • Ana Paula Faria

    () (Universidade do Minho - NIPE)

Abstract

Existing literature has shown that research-based spin-offs firms usually exhibit lower death risks than other start-ups. However, few studies have focused on the survival determinants of these particular firms. From a unique self-collected database of the population of research-based spin-offs created in Portugal from 1995 up to 2007 we analyze if founding conditions, parent organization characteristics and location characteristics play a role on their survival. Our results show that start-up size, firm age, parent reputation and region characteristics are key determinants of research-based spin-offs survival, casting doubts on the role played by the incubation process and the social ties with the parent organization as advanced in previous studies.

Suggested Citation

  • Oscarina Conceição & Ana Paula Faria, 2014. "Determinants of research-based spin-offs survival," NIPE Working Papers 21/2014, NIPE - Universidade do Minho.
  • Handle: RePEc:nip:nipewp:21/2014
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    References listed on IDEAS

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    Cited by:

    1. Daniela Santos da Silva & António Cerqueira & Elísio Brandão, 2016. "Portuguese Startups: a success prediction model," FEP Working Papers 581, Universidade do Porto, Faculdade de Economia do Porto.

    More about this item

    Keywords

    academic spin-offs; firm survival; duration analysis; group effects models;

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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