IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_12773.html

The Geopolitical Policy Divergence Index for G7 Economies: A News-Based Measure of Alliance Fragmentation

Author

Listed:
  • Erdinc Akyildirim
  • Giray Gozgor

Abstract

This paper introduces the Geopolitical Policy Divergence Index for G7 economies (GPDI–G7), a novel news-based measure of geopolitical policy disagreement and alliance-level fragmentation. Using English-language news coverage from the LexisNexis News database, we construct a monthly index spanning January 1998 to April 2026. The GPDI–G7 measures the relative salience of disagreements among G7 economies concerning foreign policy, sanctions, military strategy, diplomatic responses, export controls, energy security, and broader geopolitical positioning. Unlike existing indicators of geopolitical risk, economic policy uncertainty, trade policy uncertainty, and global supply-chain pressures, the index focuses on fragmentation in collective policy responses among allied advanced economies rather than the intensity of geopolitical conflict or uncertainty itself. A narrative event-based assessment shows pronounced increases around major episodes of geopolitical disagreement, including the Kosovo intervention, the Iraq War, Iran-related tensions, Russia’s annexation of Crimea, G7 tariff disputes, the Russia–Ukraine war, and the Strait of Hormuz crisis. Correlation analysis shows that the GPDI–G7 is positively, albeit modestly, associated with geopolitical risk and trade-policy uncertainty. In contrast, its relationships with global economic policy uncertainty and supply-chain pressures are weak or statistically insignificant. These findings provide preliminary evidence that the index captures a distinct dimension of the global policy environment and offers a new empirical framework for analysing geopolitical fragmentation, alliance cohesion, and international policy coordination.

Suggested Citation

  • Erdinc Akyildirim & Giray Gozgor, 2026. "The Geopolitical Policy Divergence Index for G7 Economies: A News-Based Measure of Alliance Fragmentation," CESifo Working Paper Series 12773, CESifo.
  • Handle: RePEc:ces:ceswps:_12773
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/cesifo1_wp12773.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baur, Andreas & Dorn, Florian & Flach, Lisandra & Fuest, Clemens, 2025. "Geoeconomic fragmentation and the role of non-aligned countries," Economics Letters, Elsevier, vol. 255(C).
    2. Tarek A Hassan & Stephan Hollander & Laurence van Lent & Ahmed Tahoun, 2019. "Firm-Level Political Risk: Measurement and Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 2135-2202.
    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. Francesco Trebbi & Miao Ben Zhang, 2022. "The Cost of Regulatory Compliance in the United States," NBER Working Papers 30691, National Bureau of Economic Research, Inc.
    2. Nicholas Bloom & Tarek Alexander Hassan & Aakash Kalyani & Josh Lerner & Ahmed Tahoun, 2021. "The diffusion of disruptive technologies," CEP Discussion Papers dp1798, Centre for Economic Performance, LSE.
    3. repec:osf:socarx:qhs6j_v1 is not listed on IDEAS
    4. Diakonova, Marina & Molina, Luis & Mueller, Hannes & Pérez, Javier J. & Rauh, Christopher, 2024. "The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(4).
    5. Zheng, Liyuan & Zhang, Sheng & Gao, Di & Liu, Jingwei, 2025. "How does digital investment drive real-sector engagement? Theoretical and empirical evidence," International Review of Financial Analysis, Elsevier, vol. 108(PB).
    6. El Ghoul, Sadok & Guedhami, Omrane & Mansi, Sattar & Wang, He (Helen), 2023. "Economic policy uncertainty, institutional environments, and corporate cash holdings," Research in International Business and Finance, Elsevier, vol. 65(C).
    7. Jessica L. Darby & David J. Ketchen & Brent D. Williams & Travis Tokar, 2020. "The Implications of Firm‐Specific Policy Risk, Policy Uncertainty, and Industry Factors for Inventory: A Resource Dependence Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(4), pages 3-24, October.
    8. Arigoni, Filippo & Lenarčič, Črt, 2020. "The impact of trade policy uncertainty shocks on the Euro Area," MPRA Paper 100832, University Library of Munich, Germany.
    9. Jiao, Anqi & Sun, Ran & Ren, Honglin, 2025. "Navigating climate policy: Corporate lobbying strategies in response to intensified climate risk exposure," Energy Economics, Elsevier, vol. 148(C).
    10. Shehub Bin Hasan & Md Samsul Alam & Sudharshan Reddy Paramati & Md Shahidul Islam, 2022. "Does firm-level political risk affect cash holdings?," Review of Quantitative Finance and Accounting, Springer, vol. 59(1), pages 311-337, July.
    11. Huang, Guan-Ying & Shen, Carl Hsin-han & Wu, Zhen-Xing, 2023. "Firm-level political risk and debt choice," Journal of Corporate Finance, Elsevier, vol. 78(C).
    12. Lin William Cong & Tengyuan Liang & Xiao Zhang & Wu Zhu, 2025. "Textual Factors: A Scalable, Interpretable, and Data-Driven Approach to Analyzing Unstructured Information," Management Science, INFORMS, vol. 71(12), pages 10727-10739, December.
    13. Ties de Kok, 2025. "ChatGPT for Textual Analysis? How to Use Generative LLMs in Accounting Research," Management Science, INFORMS, vol. 71(9), pages 7888-7906, September.
    14. Dim, Chukwuma & Koerner, Kevin & Wolski, Marcin & Zwart, Sanne, 2022. "Hot off the press: News-implied sovereign default risk," EIB Working Papers 2022/06, European Investment Bank (EIB).
    15. Bhullar, Pritpal Singh & Joshi, Mahesh & Sharma, Sharad & Kaur, Amanpreet & Phan, Duc, 2025. "Greenwashing and ESG: Bibliometric analysis and future research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    16. Nicola Mastrorocco & Arianna Ornaghi, 2025. "Who Watches the Watchmen? Local News and Police Behavior in the United States," American Economic Journal: Economic Policy, American Economic Association, vol. 17(2), pages 285-318, May.
    17. Di (Andrew) Wu, 2024. "Text-Based Measure of Supply Chain Risk Exposure," Management Science, INFORMS, vol. 70(7), pages 4781-4801, July.
    18. Hasan, Iftekhar & Politsidis, Panagiotis N. & Sharma, Zenu, 2021. "Global syndicated lending during the COVID-19 pandemic," Journal of Banking & Finance, Elsevier, vol. 133(C).
    19. Meena Subedi & Ali Farazmand, 2020. "Economic Value Added (EVA) for Performance Evaluation of Public Organizations," Public Organization Review, Springer, vol. 20(4), pages 613-630, December.
    20. Schmitz, Luuk, 2026. "Hierarchies of Adaptation: Corporate Power in Economic Statecraft," SocArXiv gwuce_v1, Center for Open Science.
    21. Cao, June & Ee, Mong Shan & Hasan, Iftekhar & Huang, He, 2024. "Asymmetric reactions of abnormal audit fees jump to credit rating changes," The British Accounting Review, Elsevier, vol. 56(2).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
    • F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions
    • F52 - International Economics - - International Relations, National Security, and International Political Economy - - - National Security; Economic Nationalism
    • F53 - International Economics - - International Relations, National Security, and International Political Economy - - - International Agreements and Observance; International Organizations
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ces:ceswps:_12773. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    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.