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From less promising to green? Technological opportunities and their role in (green) ICT innovation

Authors :
Patrick Schulte
Sascha Rexhäuser
Grazia Cecere
Département Droit, Economie et Finances (DEFI)
Institut Mines-Télécom [Paris] (IMT)-Télécom Ecole de Management (TEM)-Institut Mines-Télécom Business School (IMT-BS)
Institut Mines-Télécom [Paris] (IMT)
Réseaux Innovation Territoires et Mondialisation (RITM)
Université Paris-Sud - Paris 11 (UP11)
Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) (LITEM)
Université d'Évry-Val-d'Essonne (UEVE)-Institut Mines-Télécom Business School (IMT-BS)
Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)
Zentrum für Europäische Wirtschaftsforschung (ZEW) (Centre for European Economic Research (Mannheim, Germany))
Universität Mannheim [Mannheim]
LITEM-IMO
Département Droit, Economie et Finances (IMT-BS - DEFI)
Télécom Ecole de Management (TEM)-Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom Business School (IMT-BS)
Universität Mannheim
Source :
Economics of Innovation and New Technology, Economics of Innovation and New Technology, Taylor & Francis (Routledge), 2019, 28 (1), pp.45-63. ⟨10.1080/10438599.2018.1423766⟩, Economics of Innovation and New Technology, 2019, 28 (1), pp.45-63. ⟨10.1080/10438599.2018.1423766⟩
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

CNRS 3, FNEGE 4, HCERES B; International audience; This article aims to shed light on the role of technological opportunities for green innovation by studying the case of Green ICT innovation. We test whether firms active in low-opportunity technological areas are less likely to be innovative and whether they are more likely to change their direction of technical change. To do so, we construct a firm-level panel data set for the years 1992–2009 combining patent data from the European Patent Office with firm-level data from the German Innovation Panel (Mannheim Innovation Panel). The results are based on dynamic count data estimation models applying General Methods of Moments estimators. Our results support our hypotheses: firms active in low-opportunity technological areas are less innovative but are more likely to switch from pure ICT innovation to Green ICT innovation.

Details

Language :
English
ISSN :
10438599
Database :
OpenAIRE
Journal :
Economics of Innovation and New Technology, Economics of Innovation and New Technology, Taylor & Francis (Routledge), 2019, 28 (1), pp.45-63. ⟨10.1080/10438599.2018.1423766⟩, Economics of Innovation and New Technology, 2019, 28 (1), pp.45-63. ⟨10.1080/10438599.2018.1423766⟩
Accession number :
edsair.doi.dedup.....95c086497f2ec68a1b8f9abbf92a4ad5
Full Text :
https://doi.org/10.1080/10438599.2018.1423766⟩