Innovation and productivity in a science-and-technology intensive sector: Information industries in Spain

Duch-Brown, Néstor, de Panizza, Andrea and Rohman, Ibrahim, (2018). Innovation and productivity in a science-and-technology intensive sector: Information industries in Spain. Science and Public Policy, 45(2), 175-190

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  • Sub-type Journal article
    Author Duch-Brown, Néstor
    de Panizza, Andrea
    Rohman, Ibrahim
    Title Innovation and productivity in a science-and-technology intensive sector: Information industries in Spain
    Appearing in Science and Public Policy
    Volume 45
    Issue No. 2
    Publication Date 2018-04
    Place of Publication Oxford
    Publisher Oxford University Press
    Start page 175
    End page 190
    Language eng
    Abstract This article shows that the innovation objectives of firms in the Information and Communications Technology (ICT) industry are multidimensional. These objectives translate into complex innovation modes that in turn condition firms’ competitiveness. The ICT industry definition used in this article includes firms from the Content and Media sector, in line with modern delimitations of ICT-related activities. This article reports the results of an empirical exercise that focused on Spanish ICT firms included in the PITEC database, the source for the Community Innovation Survey, for the period 2004–13. The analysis uses the well-known Crépon-Duguet-Mairesse model, which captures the linkages between R&D, innovation, and productivity. The main results indicate strong innovation complementarities, different from those found by previous contributions for manufacturing and service sectors. If these complementarities are not taken into account when analysing the relationship between innovation and productivity, one could conclude that the link between the two is weaker than it really is. This innovation complexity may be one explanation for the productivity advantage of ICT firms.
    UNBIS Thesaurus PRODUCTIVITY
    Keyword R&D
    Innovation
    ICT sector
    Panel data
    CDM model
    Copyright Holder The Authors
    Copyright Year 2018
    Copyright type All rights reserved
    DOI 10.1093/scipol/scx072
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    Created: Wed, 18 Jul 2018, 01:01:26 JST by Mario Peixoto on behalf of UNU EGOV