Relatedness, Industrial Branching and Technological Cohesion in US Metropolitan Areas

By J. Essletzbichler. 2013

299 citations recorded by the source corpus.

Essletzbichler J. Relatedness, industrial branching and technological cohesion in US metropolitan areas, Regional Studies. Work by evolutionary economic geographers on the role of industry relatedness for regional economic development is extended into a number of methodological and empirical directions. First, relatedness is measured as the intensity of input–output linkages between industries. Second, this measure is employed to examine industry evolution in 360 US metropolitan areas. Third, an employment-weighted measure of metropolitan technological cohesion is developed. The results confirm that technological relatedness is positively related to metropolitan industry portfolio membership and industry entry and negatively related to industry exit. The decomposition of technological cohesion indicates that the selection of related incumbent industries complements industry entry and exit as the main drivers of change in metropolitan technological cohesion.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/8c1897c0bf6ae839f99a1254c808683f7bc3f16e

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Citations in the corpus

Industrial Diversification in Europe: The Differentiated Role of Relatedness (2018, background): “…show that industries are more likely to enter and more likely to survive in a region when related to existing industries in that region (see, e.g., Neffke, Henning, and Boschma 2011; Boschma, Minondo, and Navarro 2013; Essletzbichler 2015; Cortinovis et al. 2017; He, Yan, and Rigby, forthcoming).”
The Geography of Complex Knowledge (2017, background): “Of course, cities are continuously changing their technological portfolio as they diversify into new knowledge classes and abandon old technologies (Colombelli, Krafft, and Quatraro 2012; Essletzbichler 2015; Rigby 2015).”
Relatedness as driver of regional diversification: a research agenda (2017, unknown): “…in follow-up studies, like Boschma et al. (2013) for 50 Spanish regions in 1988 – 2008 (using the proximity indicator of Hidalgo et al., 2007), Essleztbichler (2015) for 360 US metropolitan regions in 1977 – 97 (using a relatedness measure based on intensity of input – output linkages between…”
Climbing the Ladder of Technological Development (2017, unknown): “Similarly, but focusing on industrial diversiﬁcation of regions, Neffke et al. (2011), Boschma et al. (2015), and Essletzbichler (2015) showed that regions are more likely to enter into industries which are related to those already in place. has convincingly shown the presence of a link between…”
The Technological Resilience of U.S. Cities (2014, background): “, 2014), and new industries tend to emerge from existing related sectors (Boschma et al., 2013; Essletzbichler, 2013; Klepper and Simons, 2000; Neffke et al., 2011; Rigby, 2013).”
Relatedness, external linkages and regional innovation in Europe (2018, unknown): “Evidence on how regions diversify over time is now large too and includes the case of Swedish regions (Neffke, Henning, & Boschma, 2011), Spanish regions (Boschma, Minondo, & Navarro, 2013) and US metropolitan areas (Boschma et al., 2015; Essletzbichler, 2015; Kogler, Rigby, & Tucker, 2013) yet show”
Inter-industry labor flows (2017, background): “…measures have proven highly predictive of the growth of local industries (Boschma et al., 2013; Delgado et al., 2010; Delgado et al., 2014; Essletzbichler, 2013; Hausmann et al., 2014; Neffke et al., 2011; Rigby, 2015), recently, labor-flow based interindustry relatedness measures have…”
Agents of Structural Change: The Role of Firms and Entrepreneurs in Regional Diversification (2018, background): “…logic, whereas Neffke, Henning, and Boschma (2011) show that similar processes are at work in Swedish regions, a finding that has been replicated in numerous studies (Boschma, Minondo, and Navarro 2013, ; Colombelli, Krafft, and Quatraro 2014; Essletzbichler 2015; Rigby 2015; Tanner 2016).”
Smart specialization policy in the European Union: relatedness, knowledge complexity and regional diversification (2019, background): “The idea that new technology is born of existing ideas has rekindled the debate on the costs and benefits of regional diversity (Balland et al. 2015; Essletzbichler, 2015).”
Beyond inducement in climate change: Does environmental performance spur environmental technologies? (2013, unknown): “The matrix of sectoral relatedness has been built according to a methodology that draws upon the exploitation of input-output data (Essletzbichler, 2013; Fan and Lang, 2000; Feser, 2003).”
Towards an Evolutionary Perspective on Regional Resilience (2015, result): “This is in line with empirical evidence that shows that sectors that are unrelated to other local industries are more likely to fail and exit a region (NEFFKE et al., 2011a; ESSLEZTBICHLER, 2013; NEFFKE et al., 2014).”
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.”
Economic complexity and the green economy (2020, background): “, 2017) and firms (Guerrero and Axtell, 2013), or by looking at the strength of input-output linkages across industries (Essletzbichler, 2015).”