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Unveiling Structure and Dynamics of Global Digital Production Technology Networks: A new digital technology classification and network analysis based on trade data

Author

Listed:
  • Antonio Andreoni

    (Department of Economics, SOAS University of London)

  • Guendalina Anzolin

    (Centre for Science, Technology and Innovation Policy, Institute for Manufacturing, University of Cambridge)

  • Mateus Labrunje

    (Centre of Development Studies and Cambridge Industrial Innovation Policy, University of Cambridge)

  • Danilo Spinola

    (College of Accounting, Finance and Economics, Birmingham City Business School; Maastricht Economic Research Institute for Innovation and Technology (UNU-Merit); and South African Research Chair in Industrial Development, University of Johannesburg)

Abstract

This research pioneers the construction of a novel Digital Production Technology Classification (DPTC) based on the latest Harmonised Commodity Description and Coding System (HS2017) of the World Customs Organisation. The DPTC enables the identification and comprehensive analysis of 127 tradable products associated with digital production technologies (DPTs). The development of this classification offers a substantial contribution to empirical research and policy analysis. It enables an extensive exploration of international trade in DPTs, such as the identification of emerging trade networks comprising final goods, intermediate components, and instrumentation technologies and the intricate regional and geopolitical dynamics related to DPTs. In this paper, we deploy our DPTC within a network analysis methodological framework to analyse countries' engagements with DPTs through bilateral and multilateral trade. By comparing the trade networks in DPTs in 2012 and 2019, we unveil dramatic shifts in the global DPTs' network structure, different countries' roles, and their degree of centrality. Notably, our findings shed light on China's expanding role and the changing trade patterns of the USA in the digital technology realm. The analysis also brings to the fore the increasing significance of Southeast Asian countries, revealing the emergence of a regional hub within this area, characterised by dense bilateral networks in DPTs. Furthermore, our study points to the fragmented network structures in Europe and the bilateral dependencies that developed there. Being the first systematic DPTC, also deployed within a network analysis framework, we expect the classification to become an indispensable tool for researchers, policymakers, and stakeholders engaged in research on digitalisation and digital industrial policy.

Suggested Citation

  • Antonio Andreoni & Guendalina Anzolin & Mateus Labrunje & Danilo Spinola, 2023. "Unveiling Structure and Dynamics of Global Digital Production Technology Networks: A new digital technology classification and network analysis based on trade data," Working Papers 261, Department of Economics, SOAS University of London, UK.
  • Handle: RePEc:soa:wpaper:261
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    File URL: https://www.soas.ac.uk/sites/default/files/2023-12/economics-wp261.pdf
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Digital Production Technology (DPT); DPT Classification; Network Analysis; Bilateral Trade; Digitalisation patterns.;
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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