nep-tid New Economics Papers
on Technology and Industrial Dynamics
Issue of 2013‒09‒06
two papers chosen by
Rui Baptista
Technical University of Lisbon

  1. Patent Licensing in Spatial Models By Yuanzhu Lu; Sougata Poddar
  2. Regional Determinants of Establishments' Innovation Activities: A Multi-Level Approach By Bellmann, Lutz; Crimmann, Andreas; Evers, Katalin; Hujer, Reinhard

  1. By: Yuanzhu Lu (China Economics and Management Academy, Central University of Finance and Economics, China); Sougata Poddar (Department of Economics, Faculty of Business and Law, Auckland University of Technology)
    Abstract: We show that a two-part tariff licensing contract is always optimal to the insider patentee in spatial models irrespective of the size of the innovation or any pre-innovation cost asymmetries. The result provides a simple justification of the prevalence of two-part tariff licensing contracts in industries.
    Keywords: Salop Model, Hotelling Model, Costs, Innovation,PAtent Licensing
    JEL: D43 D45 L13
    Date: 2013–07
    URL: http://d.repec.org/n?u=RePEc:aut:wpaper:201308&r=tid
  2. 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

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