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International production and trade in a high-tech industry: A multilevel network analysis

Smith, Matthew; Gorgoni, Sara; Cronin, Bruce

Authors

Matthew Smith

Sara Gorgoni

Bruce Cronin



Abstract

We propose a multilevel network approach as an alternative framework to analyse the international organisation of an industrial sector. We present a novel application of a multilevel Exponential Random Graph Model to a multilevel network of firms linked by ownership at the micro level, countries linked by trade at the macro level, and a firm-county affiliation network linking the two in a high-tech industry. The results from the multilevel ERGM reveal a complex interplay between firm-level activity and international trade patterns. The approach can be extended to other industries to improve understanding of the international organisation of production, to map global value chains and to compare industries.

Journal Article Type Article
Online Publication Date Jun 5, 2019
Publication Date 2019-10
Deposit Date Dec 14, 2020
Journal Social Networks
Print ISSN 0378-8733
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 59
Pages 50-60
DOI https://doi.org/10.1016/j.socnet.2019.05.003
Keywords Exponential random graph models, Multilevel networks, International organisation of production, International trade, Corporate ownership network
Public URL http://researchrepository.napier.ac.uk/Output/2706232


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