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Network Effects of International Shocks and Spillovers

Author

Listed:
  • Alexei Kireyev

    (International Monetary Fund)

  • Andrei Leonidov

    (Lebedev Physics Institute)

Abstract

This paper proposes a method for assessing international spillovers from nominal demand shocks. It quantifies the impact of a shock in the crisis country on all other countries. The paper concludes that the network effects in shock spillovers can be substantial, comparable, and often exceed the initial shock. Individual countries may amplify, absorb, or block spillovers. Most developed countries pass-through shocks, whereas low-income countries and oil exporters tend to block shock spillovers. The method is used to study demand shocks originating from a large and medium country, China and Ukraine respectively.

Suggested Citation

  • Alexei Kireyev & Andrei Leonidov, 2018. "Network Effects of International Shocks and Spillovers," Networks and Spatial Economics, Springer, vol. 18(4), pages 805-836, December.
  • Handle: RePEc:kap:netspa:v:18:y:2018:i:4:d:10.1007_s11067-018-9400-7
    DOI: 10.1007/s11067-018-9400-7
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    Cited by:

    1. Laure Rousset & César Ducruet, 2020. "Disruptions in Spatial Networks: a Comparative Study of Major Shocks Affecting Ports and Shipping Patterns," Post-Print halshs-02588551, HAL.
    2. Debarsy, Nicolas & Dossougoin, Cyrille & Ertur, Cem & Gnabo, Jean-Yves, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 21-45.
    3. Matteo Foglia & Eliana Angelini, 2019. "The Time-Spatial Dimension of Eurozone Banking Systemic Risk," Risks, MDPI, vol. 7(3), pages 1-25, July.
    4. Shixun Wang & Lihong Yang, 2022. "The Network Structure of Innovation Networks," Networks and Spatial Economics, Springer, vol. 22(1), pages 65-96, March.
    5. Vivek Kandiah & Hubert Escaith & Dima L. Shepelyansky, 2015. "Google matrix of the world network of economic activities," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(7), pages 1-20, July.
    6. Joya, Omar & Rougier, Eric, 2019. "Do (all) sectoral shocks lead to aggregate volatility? Empirics from a production network perspective," European Economic Review, Elsevier, vol. 113(C), pages 77-107.
    7. Kireyev, A., 2019. "A Network Model of Multilateral Equilibrium Exchange Rates," Journal of the New Economic Association, New Economic Association, vol. 41(1), pages 12-33.
    8. Leonidov, A., 2017. "About Some Directions of Economic Theory Development," Journal of the New Economic Association, New Economic Association, vol. 34(2), pages 189-192.
    9. Laure Rousset & César Ducruet, 2020. "Disruptions in Spatial Networks: a Comparative Study of Major Shocks Affecting Ports and Shipping Patterns," Networks and Spatial Economics, Springer, vol. 20(2), pages 423-447, June.
    10. Gerard Hoberg & S. Katie Moon, 2019. "The Offshoring Return Premium," Management Science, INFORMS, vol. 67(6), pages 2876-2899, June.
    11. V. Kandiah & H. Escaith & D. L. Shepelyansky, 2015. "Contagion effects in the world network of economic activities," Papers 1507.03278, arXiv.org.
    12. Jochen Andritzky & Bernhard Kassner & Wolf Heinrich Reuter, 2019. "Propagation of changes in demand through international trade: A case study of China," The World Economy, Wiley Blackwell, vol. 42(4), pages 1259-1285, April.
    13. Kireyev, Alexei & Leonidov, Andrei, 2021. "Twin trade shocks: Spillovers from US-China trade tensions," International Economics, Elsevier, vol. 167(C), pages 174-188.
    14. Mr. Alexei P Kireyev & Andrei Leonidov, 2016. "China’s Imports Slowdown: Spillovers, Spillins, and Spillbacks," IMF Working Papers 2016/051, International Monetary Fund.
    15. Alper Duman, 2016. "Inter-city Trade Networks in Turkey: Shocks and Spillovers," EcoMod2016 9578, EcoMod.
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    17. Zhang, Weiping & Zhuang, Xintian & Lu, Yang, 2020. "Spatial spillover effects and risk contagion around G20 stock markets based on volatility network," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).

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