IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v65y2025i5d10.1007_s10614-024-10650-0.html

Political Similarity and the Dynamics of the Global Nuclear Trade Network

Author

Listed:
  • Yeongkyun Jang

    (Korea Advanced Institute of Science and Technology)

Abstract

This study investigates the dynamics of nuclear trade among countries from 2006 to 2021 using ERGM and TERGM analyses. The results reveal three key conclusions. First, as countries become more politically similar, their engagement in nuclear trade becomes more active, emphasizing the significance of political similarity in promoting nuclear trade relationships. Second, countries with greater political differences tend to impede the formation of nuclear trade, highlighting political disparities as a potential barrier to cooperation. Finally, the study finds that countries involved in the global nuclear trade network maintain reciprocal relationships, indicating the presence of mutual benefits and interdependence. These findings contribute to understanding the factors influencing nuclear trade and suggest the importance of fostering politically similar partnerships for successful collaboration in the nuclear industry.

Suggested Citation

  • Yeongkyun Jang, 2025. "Political Similarity and the Dynamics of the Global Nuclear Trade Network," Computational Economics, Springer;Society for Computational Economics, vol. 65(5), pages 2811-2828, May.
    • Handle: RePEc:kap:compec:v:65:y:2025:i:5:d:10.1007_s10614-024-10650-0
    DOI: 10.1007/s10614-024-10650-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10614-024-10650-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10614-024-10650-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Leifeld, Philip & Cranmer, Skyler J., 2019. "A theoretical and empirical comparison of the temporal exponential random graph model and the stochastic actor-oriented model," Network Science, Cambridge University Press, vol. 7(1), pages 20-51, March.
    2. Jang, Yeongkyun & Yang, Jae-Suk, 2024. "Environmental policy and the evolution of nuclear trade network: Insights from the European Union," Structural Change and Economic Dynamics, Elsevier, vol. 68(C), pages 425-432.
    3. Jewell, Jessica & Vetier, Marta & Garcia-Cabrera, Daniel, 2019. "The international technological nuclear cooperation landscape: A new dataset and network analysis," Energy Policy, Elsevier, vol. 128(C), pages 838-852.
    4. Akerman, Anders & Seim, Anna Larsson, 2014. "The global arms trade network 1950–2007," Journal of Comparative Economics, Elsevier, vol. 42(3), pages 535-551.
    5. Bindon, George & Mukerji, Sitoo, 1978. "Canada-India nuclear cooperation," Research Policy, Elsevier, vol. 7(3), pages 220-238, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Apergis, Emmanuel & Apergis, Nicholas, 2016. "The 11/13 Paris terrorist attacks and stock prices: The case of the international defense industry," Finance Research Letters, Elsevier, vol. 17(C), pages 186-192.
    2. Yang, Guancan & Liu, Di & Chen, Ling & Lu, Kun, 2025. "Integrating persistence process into the analysis of technology convergence using STERGM," Journal of Informetrics, Elsevier, vol. 19(1).
    3. Einar Engvig, 2014. "The T - Rex in the Room: Using Network Analysis to Get a Better Grasp of Small Arms Issues," SADO - Working Papers 208, Small Arms Data Observatory.
    4. Blum, Johannes, 2019. "Arms production, national defense spending and arms trade: Examining supply and demand," European Journal of Political Economy, Elsevier, vol. 60(C).
    5. , D. & Tessone, Claudio J. & ,, 2014. "Nestedness in networks: A theoretical model and some applications," Theoretical Economics, Econometric Society, vol. 9(3), September.
    6. João Amador & Sónia Cabral, 2017. "Networks of Value-added Trade," The World Economy, Wiley Blackwell, vol. 40(7), pages 1291-1313, July.
    7. Florian Johannsen & Inmaculada Martínez-Zarzoso, "undated". "Political Determinants of the Extensive and Intensive Margins of International Arms Transfers," Ibero America Institute for Econ. Research (IAI) Discussion Papers 228, Ibero-America Institute for Economic Research.
    8. Kacper Szulecki & Indra Overland, 2023. "Russian nuclear energy diplomacy and its implications for energy security in the context of the war in Ukraine," Nature Energy, Nature, vol. 8(4), pages 413-421, April.
    9. Liu, Linqing & Shen, Mengyun & Sun, Da & Yan, Xiaofei & Hu, Shi, 2022. "Preferential attachment, R&D expenditure and the evolution of international trade networks from the perspective of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    10. Hu, Yue & Dai, Liang & Fuellhart, Kurt & Witlox, Frank, 2025. "Unraveling policy effects on airline networks in China: A temporal exponential random graph framework for slot control and route entry restrictions," Transport Policy, Elsevier, vol. 171(C), pages 882-895.
    11. Adelaide Baronchelli & Raul Caruso & Roberto Ricciuti, 2022. "Trade in Small Arms and Light Weapons: Are embargoes effective?," The World Economy, Wiley Blackwell, vol. 45(5), pages 1336-1361, May.
    12. Baronchelli, Adelaide & Caruso, Raul, 2024. "Did CIA interventions increase US arms exports? Evidence from the Cold War (1962–1989)," Economics Letters, Elsevier, vol. 238(C).
    13. Duxbury, Scott W, 2019. "Mediation and Moderation in Statistical Network Models," SocArXiv 9bs4u, Center for Open Science.
    14. Vincenzo Bove & Claudio Deiana & Roberto Nistic�, 2018. "Global Arms Trade and Oil Dependence," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 34(2), pages 272-299.
    15. Cary, Michael, 2023. "Climate policy boosts trade competitiveness: Evidence from timber trade networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    16. Alexandra Goritz & Nina Kolleck & Helge Jörgens, 2019. "Education for Sustainable Development and Climate Change Education: The Potential of Social Network Analysis Based on Twitter Data," Sustainability, MDPI, vol. 11(19), pages 1-15, October.
    17. Barbosa, Sergio & Sáiz, Patricio & Zofío, José L., 2024. "The emergence and historical evolution of innovation networks: On the factors promoting and hampering patent collaboration in technological lagging economies," Research Policy, Elsevier, vol. 53(5).
    18. Nicholas Apergis & Matteo Bonato & Rangan Gupta & Clement Kyei, 2016. "Does Geopolitical Risks Predict Stock Returns and Volatility of Leading Defense Companies? Evidence from a Nonparametric Approach," Working Papers 201671, University of Pretoria, Department of Economics.
    19. 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.
    20. Mercado, Rogelio & Noviantie, Shanty, 2020. "Financial flows centrality: Empirical evidence using bilateral capital flows," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 69(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:compec:v:65:y:2025:i:5:d:10.1007_s10614-024-10650-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.