As economic globalisation increases, inclination toward domestic protectionism is also increasing in many countries of the world. To improve the productivity and the resilience of national economies, it is important to understand the drivers and the barriers of the internatiolisation of economic activities. While internatiolisation of individual economic actors is difficult to explain using traditional theories, aggregate patterns may be explained to some extent. We take a network-centric perspective to describe the extent of corporate internatiolisation in different countries. Based on Newman’s assortativity coefficient, we design a range of assortativity metrics which are appropriate in the firm network context. Using these, we quantify companies’ appetite for internatiolisation in relation to the internatiolisation of their partners. We use the Factset Revere dataset, which is provided by FactSet Research Systems Inc., that captures global supply chain relationships between companies. We identify countries where the level of internationalisation is relatively high or relatively low, and we show that subtle differences in the assortativity metrics used change the ranking of countries significantly in terms of the assortativity correlation, highlighting that companies in different countries are prone to different types of internationalisation. Overall, we demonstrate that firms from most countries in the dataset studied have a slight preference to make supply chain relationships with other firms which have undergone a similar level of internationalisation, and other firms from their own country. The implications of our results are important for countries to understand the evolution of international relationships in their corporate environments, and how they compare to other nations in the world in this regard.
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February 2019
Research Article|
February 15 2019
Assortativity and mixing patterns in international supply chain networks Available to Purchase
Mahendra Piraveenan
;
Mahendra Piraveenan
a)
1
Faculty of Engineering and IT, The University of Sydney
, Sydney, New South Wales 2006, Australia
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Upul Senanayake;
Upul Senanayake
2
School of Computer Science and Engineering, University of New South Wales
, Sydney, New South Wales 2052, Australia
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Petr Matous;
Petr Matous
1
Faculty of Engineering and IT, The University of Sydney
, Sydney, New South Wales 2006, Australia
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Yasuyuki Todo
Yasuyuki Todo
3
Graduate School of Economics, Waseda University
, Shinjuku-ku, Tokyo 169-8050, Japan
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Mahendra Piraveenan
1,a)
Upul Senanayake
2
Petr Matous
1
Yasuyuki Todo
3
1
Faculty of Engineering and IT, The University of Sydney
, Sydney, New South Wales 2006, Australia
2
School of Computer Science and Engineering, University of New South Wales
, Sydney, New South Wales 2052, Australia
3
Graduate School of Economics, Waseda University
, Shinjuku-ku, Tokyo 169-8050, Japan
a)
Electronic mail: [email protected]
Chaos 29, 023124 (2019)
Article history
Received:
November 19 2018
Accepted:
January 25 2019
Citation
Mahendra Piraveenan, Upul Senanayake, Petr Matous, Yasuyuki Todo; Assortativity and mixing patterns in international supply chain networks. Chaos 1 February 2019; 29 (2): 023124. https://doi.org/10.1063/1.5082015
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