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Assessing the importance of risky products in international trade and global value chains

Author

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  • Oliver Reiter

    (Vienna Institute for International Economic Studies (Wiiw))

  • Robert Stehrer

    (Vienna Institute for International Economic Studies (Wiiw))

Abstract

The COVID-19 pandemic has thrown the world's economy and trade into disarray, putting international reliance in the limelight. This sparked debate on the durability and resilience of global value chains. In this paper, we construct a ‘product riskiness indicator’ for 4700 globally traded products based on components such as market concentration, clustering tendencies, network centrality of players, or international substitutability to determine which products are vulnerable to trade shocks at the global level – referred to as ‘risky’ products. In a second step, bilateral risky product imports are matched to multi-country input–output tables, allowing for an examination of the importance of globally supplied risky products by country and industry. Due to the high percentage of dangerous products in high-tech product categories, higher-tech industries are more vulnerable to supply-chain vulnerabilities. Third, we analyse the GDP impact of reshoring using a “partial global extraction method.” Assuming that risky product imports from non-EU27 nations are re-shored to EU27 countries, the EU27 GDP might rise by up to 0.5 percent. Non-EU27 countries suffer as a result of such reshoring activity. This implies that ensuring robust or at least resilient supply networks is also in the interest of the supplier countries and sectors.

Suggested Citation

  • Oliver Reiter & Robert Stehrer, 2023. "Assessing the importance of risky products in international trade and global value chains," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 7-33, February.
  • Handle: RePEc:kap:empiri:v:50:y:2023:i:1:d:10.1007_s10663-022-09560-x
    DOI: 10.1007/s10663-022-09560-x
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    References listed on IDEAS

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    1. Emmanuel Dhyne & Ayumu Ken Kikkawa & Magne Mogstad & Felix Tintelnot, 2021. "Trade and Domestic Production Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(2), pages 643-668.
    2. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    3. Rebecca Freeman & Richard Baldwin, 2022. "Risks and Global Supply Chains: What We Know and What We Need to Know," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 153-180, August.
    4. João Amador & Sónia Cabral & Rossana Mastrandrea & Franco Ruzzenenti, 2018. "Who’s Who in Global Value Chains? A Weighted Network Approach," Open Economies Review, Springer, vol. 29(5), pages 1039-1059, November.
    5. Andrew B. Bernard & Andreas Moxnes, 2018. "Networks and Trade," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 65-85, August.
    6. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, August.
    7. Carlo Piccardi & Lucia Tajoli, 2018. "Complexity, centralization, and fragility in economic networks," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-13, November.
    8. Gaulier, Guillaume & Zignago, Soledad, 2004. "Notes on BACI (analytical database of international trade). 1989-2002 version," MPRA Paper 32401, University Library of Munich, Germany.
    9. Rober Stehrer & Roman Stöllinger, 2015. "The Central European Manufacturin Core: What is Driving Regional Production Sharing?," FIW Research Reports series VI-002, FIW.
    10. C. T. Vidya & K. P. Prabheesh, 2020. "Implications of COVID-19 Pandemic on the Global Trade Networks," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2408-2421, August.
    11. Grübler, Julia & Reiter, Oliver, 2021. "Non-Tariff Trade Policy in the Context of Deep Trade Integration: An Ex-Post Gravity Model Application to the EU-South Korea Agreement," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 25(1), pages 33-71, March.
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    Cited by:

    1. de Lucio, Juan & Díaz-Mora, Carmen & Mínguez, Raúl & Minondo, Asier & Requena, Francisco, 2023. "Do firms react to supply chain disruptions?," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 902-916.

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    More about this item

    Keywords

    Supply chains; Vulnerability; Resilience; Robustness; Global extraction method;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • F52 - International Economics - - International Relations, National Security, and International Political Economy - - - National Security; Economic Nationalism

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