Related Variety, Unrelated Variety and Technological Breakthroughs: An analysis of US State-Level Patenting

By Carolina Castaldi, Koen Frenken, B. Los. 2015

481 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/72b7e8083b364b71259e91daadc5c74a514e7fc1

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Citations in the corpus

The Geography of Complex Knowledge (2017, background): “There is also an emerging literature on the geography of high-value or breakthrough patents (Castaldi, Frenken, and Los 2015), and Fleming and Sorenson (2001) provide a measure of the complexity of individual patents based on the interdependence of the subclasses they combine.”
Related and unrelated variety as regional drivers of enterprise productivity and innovation: A multilevel study (2016, background): “, 2007) and is associated with breakthrough innovations (Castaldi et al., 2015).”
Relatedness, external linkages and regional innovation in Europe (2018, unknown): “Results are comparable to our OLS estimates – although Castaldi et al. (2015) do not find evidence of a positive effect of related variety on breakthrough innovations, as we do.”
Regional Branching and Key Enabling Technologies: Evidence from European Patent Data (2017, background): “From a theoretical point of view, we look at the implications of the GPT properties of KETs for the recombinant innovation theories previously placed at the basis of regional branching (Colombelli, Krafft, and Quatraro 2014; Castaldi, Frenken, and Los 2015).”
The emergence of new technology-based industries: the case of fuel cells and its technological relatedness to regional knowledge bases (2016, background): “Technology fields become related either as a result of the discovery process, which can turn previously unrelated technologies into being related (Castaldi et al., 2014), because of advances made in a previously unrelated technology field or because an entire new technology field emerges, such as na”
Green technologies and Smart Specialisation Strategies: a European patent-based analysis of the intertwining of technological relatedness and key enabling technologies (2018, background): “, 2015), mastering new technologies in a region can be in general facilitated by the presence of technologies in the existing industrial structure, which are cognitively related to them: an hypothesis that has found ample empirical confirmation (e.g. Koegler et al., 2013; Rigby, 2013; Boschma et al.”
Towards an Evolutionary Perspective on Regional Resilience (2015, background): “CASTALDI et al. (2013) have claimed that regions with unrelated variety are more likely to produce technological breakthroughs, as it provides opportunities to recombine previously unrelated knowledge domains, while incremental innovations benefit from related variety in a region, as these arise…”
Knowledge sources and impacts on subsequent inventions: Do green technologies differ from non-green ones? (2018, methodology): “We follow previous work employing the entropy indicator to measure related and unrelated variety (see Frenken et al., 2007; Castaldi et al., 2015; Wixe and Andersson, 2017) Having calculated related and unrelated variety based on the technological classification codes of backward and forward…”
Relatedness as driver of regional diversification: a research agenda (2017, unknown): “Relatedness would become dynamic itself: previously unrelated activities become related as soon as they are connected in successful new combinations (Castaldi et al., 2015; Desrochers & Leppälä, 2011).”
Specialisation, diversification and the ladder of green technology development (2020, unknown): “Indeed, knowledge stemming from existing capabilities reduces the costs and uncertainty that exploratory mechanisms entail and triggers technological variety across different - though related - fields (Castaldi et al., 2015).”
The role of collaborative networks in supporting the innovation performances of lagging-behind European regions (2018, background): “R&D intensity is expected to have a positive impact on innovation because of the positive correlation existing between technological input and output (Castaldi et al., 2015; Gilsing et al., 2008; Marrocu et al., 2013).”