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Modelling innovative activity in the New Zealand biotechnology sector

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  • Marsh, Dan
  • Oxley, Les

Abstract

This paper analyses results from an investigation into the determinants of biotechnology innovation in New Zealand using a comprehensive new data set. The theoretical framework is based on a synthesis of hypotheses drawn from four strands of the innovation literature and the empirical work utilises Poisson regression methods. The data provide strong support for the idea that smaller enterprises (whether measured by number of biotech graduates or by biotech expenditure) tend to have a higher innovation rate and is in line with other studies reported in the literature. However, these initial results require further exploration.

Suggested Citation

  • Marsh, Dan & Oxley, Les, 2005. "Modelling innovative activity in the New Zealand biotechnology sector," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 103-112.
    • Handle: RePEc:eee:matcom:v:69:y:2005:i:1:p:103-112
    DOI: 10.1016/j.matcom.2005.02.021
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    References listed on IDEAS

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