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Exploring Globalization with Cosmopolitics

  • Maria Serena Causo
  • Erika Cerasti
  • Fabrizio De Fausti
  • Monica Scannapieco

Cosmopolitics, an open-source dashboard designed by an Istat team to perform exploratory data analysis using Eurostat statistical open data on international trade, offers several tools for investigating globalization phenomena such as the dynamics of global value chains (GVC). The advantage of this widely spread economic organization is well known: companies obtain economic advantages by direct foreign investments or by production outsourcing, i.e. relocating some production phases to countries where high specialization or an advantageous labor market create greater opportunities. However, by its very nature, the GVC is highly sensitive to shock transmissions and supply chain disruptions associated with geopolitical events or epidemiological crises. The dashboard will be released as Istat experimental statistical product and available online. Through a Social Network Graph Analysis approach, it will offer students, researchers and policy makers the opportunity to explore the dynamics of global trade for specific products traded by different modes of transport. The tool allows users not only retracing recent critical phases affecting global trade, but also interactively simulating bilateral trade flows interruptions or closures of specific logistic poles or transport routes. This gives the opportunity to outline possible scenarios in which the GVC trade relationships reshape under shock transmissions, such as conflicts, changes in bilateral relationships between countries, logistics or transport new arrangements, reallocation of foreign investments, etc. By computing standard Social Network indicators (such as graph density, indegree, outdegree, and closeness centrality), the tool provides many quantitative measures associated with the specific global trade structures displayed. This paper will illustrate the methodology implemented in the dashboard and will provide examples on how to explore GVC scenarios by Cosmopolitics.

  • Keywords:
  • Global Value Chain,
  • Social Network Analysis,
  • Trade Statistics,
  • Open-source dashboard,
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Maria Serena Causo

ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0002-9879-013X

Erika Cerasti

ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0002-3495-9290

Fabrizio De Fausti

ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0002-6921-2584

Monica Scannapieco

ISTAT, Italian National Institute of Statistics, Italy

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  2. De Benedictis L., Nenci S., Santoni G., Tajoli L., Vicarelli C. (2013), “Network Analysis of World Trade using the BACI-CEPII dataset.” CEPII Document de travail N 2013 – 24 August.
  3. OECD (2021), Global Value Chains: Efficiency and Risks in the Context of COVID-19, OECD Tackling Coronavirus (COVID-19) Contributing to Global Effort, 11 February 2021. OECD Publishing, Global value chains: Efficiency and risks in the context of COVID-19
  4. Lin B., Zhang Y. Y. (2020), “Impact of the COVID-19 pandemic on agricultural exports”, Journal of Integrative Agriculture, Volume 19, Issue 12, Pages 2937 – 2945.
  5. M.R. Surugiu, C. Surugiu (2015), “International Trade, Globalization and Economic Interdependence between European Countries: Implications for Businesses and Marketing Framework”, Procedia Economics and Finance, Volume 32, 2015, Pages 131-138
  6. Verschuur J., Koks E. E., Hall J. W. (2021), “Observed impacts of the COVID-19 pandemic on global trade”, Nature Human Behaviour, 5, 305-307
  7. Wasserman S., Faust K. (1994), Social Network Analysis: Methods and Applications, Cambridge University Press, New York, NY, DOI: 10.1525/ae.1997.24.1.219
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  • Publication Year: 2023
  • Pages: 169-173
  • Content License: CC BY 4.0
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  • Publication Year: 2023
  • Content License: CC BY 4.0
  • © 2023 Author(s)

Chapter Information

Chapter Title

Exploring Globalization with Cosmopolitics

Authors

Maria Serena Causo, Erika Cerasti, Fabrizio De Fausti, Monica Scannapieco

Language

English

DOI

10.36253/979-12-215-0106-3.30

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

ASA 2022 Data-Driven Decision Making

Book Subtitle

Book of short papers

Editors

Enrico di Bella, Luigi Fabbris, Corrado Lagazio

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press, Genova University Press

DOI

10.36253/979-12-215-0106-3

eISBN (pdf)

979-12-215-0106-3

eISBN (xml)

979-12-215-0107-0

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

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