IDEAS home Printed from https://ideas.repec.org/a/gai/monreo/monreo-2025-14-1433.html
   My bibliography  Save this article

Russia's foreign trade in January-May 2025: Trade turnover with China declined

Author

Listed:
  • Alexander Knobel

    (Gaidar Institute for Economic Policy)

  • Alexander Firanchuk

    (Gaidar Institute for Economic Policy)

Abstract

In the first five months of 2025, Russian exports fell to $162.1 bn (-6.2% compared to 2024) on the back of a decline in the value of oil exports. The share of fuel and energy products fell to 56%. Other export groups showed growth, most notably in the export of machinery and equipment. The share of unfriendly jurisdictions' markets stabilized at 15%. Imports to Russia remained at last year's level and amounted to $109.5 bn (up 1.7%). The share of goods from unfriendly jurisdictions continues to decline, while supplies of medicines remain close to pre-sanction levels. In trade with China, oil supplies declined in the first half of the year, and the discount on the price of Russian crude oil went up to 4.6%. Against the backdrop of declining demand in China, supplies of heavy distillates, coal, and LNG decreased. At the same time, exports of key non-ferrous metals, such as aluminum, nickel, and copper, grew significantly. Supplies of Chinese goods in the first half of the year dropped (–8.7%) due to a significant decline in car imports (–61%) amid moderate growth in other product categories.

Suggested Citation

  • Alexander Knobel & Alexander Firanchuk, 2025. "Russia's foreign trade in January-May 2025: Trade turnover with China declined," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 14, pages 1-5, July.
  • Handle: RePEc:gai:monreo:monreo-2025-14-1433
    as

    Download full text from publisher

    File URL: https://www.iep.ru/files/RePEc/gai/monreo/monreo-2025-14-1433.pdf
    File Function: Revised Version, 2025
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation

    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:gai:monreo:monreo-2025-14-1433. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Aleksei Astakhov (email available below). General contact details of provider: https://edirc.repec.org/data/gaidaru.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.