The role of location on complexity of firms’ innovation outcome
2021 (English)In: Technological forecasting & social change, ISSN 0040-1625, E-ISSN 1873-5509, Vol. 162, article id 120404Article in journal (Refereed) Published
Abstract [en]
In this paper we analyze how the location of firms influences their innovation outcomes, particularly the complexity of the outcomes. Using three waves of the Community Innovation Survey in Sweden for a balanced panel of firms from 2006 to 2012, we identified a range of innovation outcome categories, i.e. simple and complex (low-, medium-, highly-complex). The backbone of such categorization is based on how firms introduce a combination of Schumpeterian types of innovations (i.e. process, product, marketing, and organizational). Then we consider three regional characteristics that may affect the innovation outcomes of firms, i.e. (i) qualified labor market thickness, (ii) knowledge-intensive services thickness, and (iii) knowledge spillovers extent. We find that regional characteristics do not affect firms’ innovation outcomes ubiquitously. They are only positively associated with those firms introducing the highly-complex innovation outcomes. For firms with less complex innovation outcomes, the regional characteristics do not seem to play a pivotal role. For these innovators, internal resources and formal collaboration with external partners have a significant role.
Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 162, article id 120404
Keywords [en]
Innovation outcome, knowledge spillovers, Community innovation survey, location, Agglomeration economies, Commerce, Community innovation surveys, Internal resources, Knowledge spillovers, Labor markets, Regional characteristics, Types of innovations, Service industry, complexity, industrial agglomeration, industrial location, innovation, labor market, spatial analysis, spillover effect, Sweden
National Category
Economics
Identifiers
URN: urn:nbn:se:hj:diva-50922DOI: 10.1016/j.techfore.2020.120404ISI: 000621378100019Scopus ID: 2-s2.0-85093662042OAI: oai:DiVA.org:hj-50922DiVA, id: diva2:1485331
2020-11-022020-11-022021-03-25Bibliographically approved