Title of article :
Modelling innovative activity in the New Zealand biotechnology sector Original Research Article
Author/Authors :
Dan Marsh، نويسنده , , Les Oxley، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
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.
Keywords :
Biotechnology , Poisson regression , Innovation
Journal title :
Mathematics and Computers in Simulation
Journal title :
Mathematics and Computers in Simulation