IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v244y2025ics0960148125002939.html
   My bibliography  Save this article

Analysis of renewable energy investments in China's BRI middle corridor using spherical fuzzy decision-making framework

Author

Listed:
  • Tatar, Veysel
  • Ayvaz, Berk
  • Pamucar, Dragan

Abstract

The importance of investment in, and access to, renewable energy is widely recognised as a key factor in achieving countries' sustainable development and economic growth goals. In order to advance sustainable development, the Belt and Road Initiative (BRI) project, proposed by China, represents a significant research area of investigation for countries aiming to attract investments in renewable energy sources (RES). The aim of this study is to provide an analytical evaluation methodology for investment risk factors for renewable energy (RE) in BRI middle corridor countries bordering the Black Sea. The methodology is based on multi-criteria decision-making (MCDM) approaches, including the spherical fuzzy analytical hierarchy process (SF-AHP) and the alternative ranking technique based on adaptive standardized intervals (ARTASI). While the SF-AHP is employed to prioritize main and sub-criteria in an environment of uncertainty, the ARTASI is utilized to rank the RE investment profiles of countries by integrating the calculated criteria. The results demonstrated that “Environmental” emerged as the most significant criterion, accounting for 21.61 % of the total importance, followed by “Economic” (21.26 %), “Political” (17.09 %), “Technical” (15.22 %), “Chinese factors” (14.63 %), and “Social” (10.19 %), respectively. The findings indicate that Türkiye and Romania, two of the BRI mid-corridor Black Sea coastal countries, are the most suitable options for Chinese enterprises investing overseas in terms of renewable energy investments. In light of these findings, it can be posited that Chinese enterprises will be better placed to manage and execute BRI renewable energy investment projects in a more effective manner, thereby reducing potential risks and enhancing the potential for investment benefits.

Suggested Citation

  • Tatar, Veysel & Ayvaz, Berk & Pamucar, Dragan, 2025. "Analysis of renewable energy investments in China's BRI middle corridor using spherical fuzzy decision-making framework," Renewable Energy, Elsevier, vol. 244(C).
  • Handle: RePEc:eee:renene:v:244:y:2025:i:c:s0960148125002939
    DOI: 10.1016/j.renene.2025.122631
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125002939
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.122631?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 search for a different version of it.

    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:eee:renene:v:244:y:2025:i:c:s0960148125002939. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.