By: |
Bellmann, Lutz (Institute for Employment Research (IAB), Nuremberg);
Crimmann, Andreas (Institute for Employment Research (IAB), Nuremberg);
Evers, Katalin (Institute for Employment Research (IAB), Nuremberg);
Hujer, Reinhard (Goethe University Frankfurt) |
Abstract: |
This paper analyses the determinants of different innovation types. Beside a
wide range of firm characteristics also the effects of regional factors are
estimated using three-level random effect logit models which account for the
clustered and longitudinal structure of the data. The analyses contain three
regional variables: the unemployment rate, the assessment of the region with
reference to proximity to research and technology centres and universities and
the rate of graduates in mathematics, informatics, natural sciences and
technological sciences (MINT-graduates). The empirical basis is the
IAB-Establishment Panel Survey 2006 to 2010. Process and radical innovations
are significant affected by the unemployment rate and the share of
MINT-graduates. The unemployment rate has also for some of the innovation
combos a significant effect. The proportion of MINT-graduates is relevant for
the probability of all 4 innovation types simultaneously. |
Keywords: |
determinants of innovation, regional effects, multilevel modelling |
JEL: |
D21 O30 R15 |
Date: |
2013–08 |
URL: |
http://d.repec.org/n?u=RePEc:iza:izadps:dp7572&r=tid |