Skill-relatedness and firm diversification

By Frank M. H. Neffke, Martin Henning. 2013

631 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/6ad9bfd91761e89ef014bfa53a99a2a4c83da2f9

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

1. Ron A. Boschma
2. Koen Frenken
3. J. Essletzbichler
4. J. Content
5. Scott Stern
6. Michael E. Porter
7. Mercedes Delgado
8. Frank M. H. Neffke

In Strategy and Management

1. Ron A. Boschma
2. Koen Frenken
3. J. Content
4. Mercedes Delgado
5. Scott Stern
6. Antje Weyh
7. Anne Otto
8. Michael E. Porter

Citations in the corpus

• The emerging empirics of evolutionary economic geography (2011, background): “4 Industry relatedness can thus be defined as to the extent two which the knowledge and skill base of two industries overlap (Neffke and Henning, 2009).”
• Agents of Structural Change: The Role of Firms and Entrepreneurs in Regional Diversification (2018, background): “First, human capital is among the most valuable resources of a firm (Grant 1996), and the skills embedded in a firm’s workforce have been shown to condition corporate diversification paths (Porter 1987; Neffke and Henning 2013).”
• Comparing knowledge bases: on the geography and organization of knowledge sourcing in the regional innovation system of Scania, Sweden (2013, background): “The explanatory power of labour mobility is also emphasized in the literature on skill-relatedness, in which industries are defined as related to each other if they share the same or similar skills, measured in terms of labour flows between companies (Boschma et al., 2009; Neffke and Henning, 2010).”
• The Impact of Related Variety on Regional Employment Growth in Finland 1993–2006: High-Tech versus Medium/Low-Tech (2012, neutral): “More advanced relatedness measures have been developed recently, such as the skill-relatedness measure by Neffke and Henning (2012). They measure relatedness by the degree of labor flows between different industries with the idea that excessive labor flows between certain industries imply that those”
• Inter-industry labor flows (2017, methodology): “1 Neffke and Henning (2013) argue that, although workers may select a new job for reasons other than skill relatedness (such as preferences and social networks), in the aggregate, inter-industry labor flows seem to predominantly express skill similarities.”
• Towards an Evolutionary Perspective on Regional Resilience (2015, background): “…when the local industries are skill related, that is, when industries require similar skills, as this enhances regional labour matching (NEFFKE and HENNING, 2013).10 Regional variety in skill-related industries is expected to speed up the recovery from sector-specific shocks, as the…”
• Relatedness, Industrial Branching and Technological Cohesion in US Metropolitan Areas (2013, background): “As firms are more likely to diversify into industries requiring similar skill sets to take full advantage of their workforce (NEFFKE and HENNING, 2013) and workers are more likely to exchange information if they possess related skills, cities are likely to add industries employing workers with…”