Knowledge Coherence, Variety and economic Growth: Manufacturing Evidence from Italian Regions
By F. Quatraro. 2010
201 citations recorded by the source corpus.
This paper elaborates a view on knowledge as a result of a combinatorial search activity, so as to investigate its effects on economic growth at the regional level. Empirical estimations corroborate the hypothesis that knowledge coherence and variety, besides the traditional measure of knowledge stock, matter in shaping regional economic performances. The check for spatial dependence suggests that cross-regional externalities exert additional triggering effects on growth, without debasing the effects of knowledge properties. Important policy implications stem from the analysis, in that regional innovation strategies should be carefully coordinated so as to reach a higher degree of internal coherence and trigger economic performances.
Subfields: Economics and Econometrics, Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/6d22b808412f53e65742fb663c2c4b894d227593
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Ron A. Boschma
- F. Quatraro
- J. Essletzbichler
- Pierre-Alexandre Balland
- Sandro Montresor
- David L. Rigby
- Koen Frenken
- Alessandra Colombelli
In Political Science and International Relations
- Ron A. Boschma
- J. Essletzbichler
- Koen Frenken
- Sandro Montresor
- F. Quatraro
- David L. Rigby
- Alessandra Colombelli
- Pierre-Alexandre Balland
Citations in the corpus
- Related variety and economic development: a literature review (2016, background): “Instead of looking at the industrial structure, Quatraro (2010) also analysed regional productivity growth, and specifically how knowledge affects regional growth in Italy.”
- Technological Relatedness and Knowledge Space: Entry and Exit of US Cities from Patent Classes (2015, background): “QUATRARO (2010) shows that knowledge variety and coherence play a significant role in productivity growth across Italian regions; while KOGLER et al. (2013) illustrate linkages between technological relatedness and the pace of invention in US cities.”
- The Emergence of New Industries at the Regional Level in Spain: A Proximity Approach Based on Product Relatedness (2013, background): “, 2007), Italy (Boschma and Iammarino 2009; Quatraro 2010), Great Britain (Bishop and Gripaios, 2010), Spain (Boschma et al.”
- The emergence of new technology-based sectors in European regions: A proximity-based analysis of nanotechnology (2014, background): “Recent research shows that the properties of knowledge bases in terms of coherence, variety and cognitive distance affect economic and technological performances at different levels of aggregation (Colombelli et al., 2013, 2014; Antonelli and Colombelli, 2013; Quatraro, 2010).”
- Environmental performance, innovation and spillovers. Evidence from a regional NAMEA (2013, unknown): “The concept of cognitive proximity has been increasingly adopted in regional economics, since knowledge ismore likely to diffusewhen competences and knowledge stocks of the inventors and adopters are closely related (Quatraro, 2010).”
- Related variety and regional growth in Spain (2011, background): “Empirical studies have investigated the significance of related variety for regional growth in the Netherlands (Frenken et al., 2007), Great Britain (Bishop and Gripaios, 2010) and Italy (Boschma and Iammarino, 2009; Quatraro, 2010).”
- Relatedness, external linkages and regional innovation in Europe (2018, unknown): “…specific countries (Frenken et al., 2007, for the Netherlands; Boschma and Iammarino, 2009, for Italy; Bishop and Gripaios, 2010, for Great Britain; Quatraro, 2010, for Italy; Hartog et al., 2012, for Finland and Boschma et al., 2012, for Spain) even if in our regressions, variety indicators are…”
- Entrepreneurship, innovation and regional growth: a network theory (2015, background): “In other words, the emergent phase of entrepreneurialism is a period of both high rates of network capital generation and subsequent new knowledge accumulation (March 1991; Nonaka and Takeuchi 1995; Quatraro 2010).”
- The Geography of Complex Knowledge (2017, background): “…the characteristics of local knowledge bases from patent filings in German cities; Ejermo (2009) uses information on citations, multicountry filing, and litigation to value patents across Swedish regions; and Quatraro (2010) links the coherence of local patent stocks to regional growth in Italy.”
- Mapping Knowledge Space and Technological Relatedness in US Cities (2013, background): “Quatraro (2010) shows that knowledge variety and coherence play a significant role in productivity growth across Italian regions, while Boschma and Iammarino (2009) demonstrate the importance of related variety to regional growth in Italy, alongside the role that trade plays in spilling related…”
- High-growth firms and technological knowledge: do gazelles follow exploration or exploitation strategies? (2014, methodology): “While this approach has been successfully implanted to analyze productivity performances at different levels (Nesta, 2008; Quatraro, 2010; Antonelli, Krafft, Quatraro, 2010), there are no contributions yet in the literature that have used it in the investigation of high-growth firms.”
- The Impact of Related Variety on Regional Employment Growth in Finland 1993–2006: High-Tech versus Medium/Low-Tech (2012, background): “Recent studies in The Netherlands (Frenken et al., 2007), Italy (Boschma and Iammarino, 2009; Quatraro, 2010) and Spain (Boschma et al., 2012) have indeed confirmed that related variety tends to contribute positively to regional employment growth.”
- Relatedness, Industrial Branching and Technological Cohesion in US Metropolitan Areas (2013, methodology): “Building on entropy-based measures of variety, BOSCHMA et al. (2009) show the importance of related skill portfolios of a plant’s workforce for its productivity growth in Sweden; QUATRARO (2010) demonstrates that related but not unrelated variety exerts a positive impact of total factor productivity”
- Regional Branching and Key Enabling Technologies: Evidence from European Patent Data (2017, methodology): “Third, we integrate the standard estimations of the model with a spatial econometric robustness check (Quatraro 2010; Essletzbichler 2015), which allows KETs to spread their effects across closer regions.”