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

Matthew Smith; Sara Gorgoni; Bruce Cronin

doi:10.1016/j.socnet.2019.05.003

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

Matthew Smith, Sara Gorgoni, Bruce Cronin

School of Social Sciences

Research output: Contribution to journal › Article › peer-review

34 Citations (Scopus)

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.

Original language	English
Pages (from-to)	50-60
Number of pages	11
Journal	Social Networks
Volume	59
DOIs	https://doi.org/10.1016/j.socnet.2019.05.003
Publication status	Published - Oct 2019

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title = "International production and trade in a high-tech industry: A multilevel network analysis",

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.",

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AU - Gorgoni, Sara

AU - Cronin, Bruce

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N2 - 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.

AB - 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.

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DO - 10.1016/j.socnet.2019.05.003

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SN - 0378-8733

VL - 59

SP - 50

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JO - Social Networks

JF - Social Networks

ER -

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

Abstract

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