Matthew Smith
International production and trade in a high-tech industry: A multilevel network analysis
Smith, Matthew; Gorgoni, Sara; Cronin, Bruce
Authors
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.
Citation
Smith, M., Gorgoni, S., & Cronin, B. (2019). International production and trade in a high-tech industry: A multilevel network analysis. Social Networks, 59, 50-60. https://doi.org/10.1016/j.socnet.2019.05.003
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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