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Robust skill-relatedness networks of industries make resilient regions
Topics: Economic Geography
, Quantitative Methods
, Europe
Keywords: local capability base, skill-relatedness, network robustness, regional economic resilience, regional employment Session Type: Virtual Paper Abstract Day: Sunday Session Start / End Time: 2/27/2022 11:20 AM (Eastern Time (US & Canada)) - 2/27/2022 12:40 PM (Eastern Time (US & Canada)) Room: Virtual 34
Authors:
Zoltán Elekes, Centre for Regional Science, Umeå University
Gergő Tóth, Spatial Dynamics Lab, University College Dublin
Rikard Eriksson, Department of Geography, Umeå University
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Abstract
In this paper we set out to study how the skill-relatedness network structure of industries conditions the economic resilience of regions across 72 local labour markets in Sweden. Drawing on recent advancements in network science we stress-test skill-relatedness networks constructed from local labour flows between industries against the elimination of some of their nodes. We then validate the connection between such network robustness and employment growth in the context of the 2008 economic crisis. We find marked heterogeneity across regions in terms of network robustness. Our results from regression analysis support that regions endowed with more robust local skill-relatedness networks of industries experience higher employment growth particularly in the resistance stage of the unfolding crisis and its aftermath.
Robust skill-relatedness networks of industries make resilient regions
