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Using matched employee‐employer data to measure labour mobility and knowledge flows in supply‐chain and labour‐based industry clusters
Author(s) -
Renski Henry
Publication year - 2013
Publication title -
regional science policy and practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.342
H-Index - 8
ISSN - 1757-7802
DOI - 10.1111/j.1757-7802.2012.01079.x
Subject(s) - staffing , business , supply chain , production (economics) , downstream (manufacturing) , labour economics , industrial organization , marketing , economics , management , microeconomics
This study uses a matched employee‐employer database to explore how workers transfer knowledge and skills across employers and industries. Because workers are a primary vehicle of knowledge exchange, the analysis of labor mobility can help identify businesses with common skill requirements, production methods, or other technological foundations. After developing a measure of industry association based on labour flows, I test how well national industry staffing patterns and buyer‐supplier associations explain labour mobility between industries. I find that workers are most likely to transfer between industries that share a common occupational profile, although up and downstream associations are also significant.