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Exogenous risk assessment of a Belt-and-Road renewable energy project

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  • Zhao, Xuan
  • Peng, Benhong
  • Zheng, Chaoyu

Abstract

Along the "Belt and Road," renewable energy projects face exogenous risks. Given the multifaceted impact pathways through which these risks manifest, it is imperative to conduct timely and accurate assessments of such risks. This study endeavors to construct a comprehensive evaluation index system tailored to the exogenous risks associated with renewable energy projects along the "Belt and Road" route. By integrating the G1 and CRITIC methods for composite weighting, the study derives the comprehensive weight of each indicator within the system. This study acknowledges the inherent uncertainty characteristics of exogenous risks by employing the measurement uncertainty theory to assess project risk. This approach enables more precise quantification of uncertainty and incomplete information, empowering enterprises to respond to exogenous risks more effectively. The findings reveal that the exogenous risk-impact-response evaluation model not only effectively mitigates the subjectivity inherent in expert cognition but also adeptly manages the uncertainty and suddenness associated with the impact of exogenous risks on renewable energy projects. Consequently, this model assists enterprises in implementing timely risk prevention and management measures, thereby enhancing their resilience and adaptability in the face of such challenges.

Suggested Citation

  • Zhao, Xuan & Peng, Benhong & Zheng, Chaoyu, 2025. "Exogenous risk assessment of a Belt-and-Road renewable energy project," Utilities Policy, Elsevier, vol. 95(C).
    • Handle: RePEc:eee:juipol:v:95:y:2025:i:c:s0957178725000712
    DOI: 10.1016/j.jup.2025.101956
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    References listed on IDEAS

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    1. Dincer, Hasan & Yuksel, Serhat, 2019. "Balanced scorecard-based analysis of investment decisions for the renewable energy alternatives: A comparative analysis based on the hybrid fuzzy decision-making approach," Energy, Elsevier, vol. 175(C), pages 1259-1270.
    2. Toshio Yoshimura, 2017. "Direct adaptive fuzzy backstepping control for uncertain discrete-time nonlinear systems using noisy measurements," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(4), pages 695-704, March.
    3. Haili Xue & Xiao Lan & Qin Zhang & Haoguang Liang & Zixiao He, 2023. "RETRACTED ARTICLE: Assessment of the green development level for participating countries in the Belt and Road initiative," Annals of Operations Research, Springer, vol. 326(1), pages 125-125, July.
    4. Yang, Zitong & Huang, Xianfeng & Fang, Guohua & Ye, Jian & Lu, ChengXuan, 2021. "Benefit evaluation of East Route Project of South to North Water Transfer based on trapezoid cloud model," Agricultural Water Management, Elsevier, vol. 254(C).
    5. Liu, Ximei & Zeng, Ming, 2017. "Renewable energy investment risk evaluation model based on system dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 782-788.
    6. Ozorhon, Beliz & Batmaz, Arda & Caglayan, Semih, 2018. "Generating a framework to facilitate decision making in renewable energy investments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 217-226.
    7. Qinhua Xu & William Chung, 2018. "Risk assessment of China’s Belt and Road Initiative’s sustainable investing: a data envelopment analysis approach," Economic and Political Studies, Taylor & Francis Journals, vol. 6(3), pages 319-337, July.
    8. Rahmani, Amir & Mashayekh, Javad & Aboojafari, Roohallah & Bonyadi Naeini, Ali, 2023. "Determinants of households' intention for investment in renewable energy projects," Renewable Energy, Elsevier, vol. 205(C), pages 823-837.
    9. Ibrahim, Nur Atirah & Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abdul & Mustaffa, Azizul Azri & Kidam, Kamarizan, 2022. "Risk matrix approach of extreme temperature and precipitation for renewable energy systems in Malaysia," Energy, Elsevier, vol. 254(PC).
    10. Dejun Qiu & Hasan Dinçer & Serhat Yüksel & Gözde Gülseven Ubay, 2020. "Multi-Faceted Analysis of Systematic Risk-Based Wind Energy Investment Decisions in E7 Economies Using Modified Hybrid Modeling with IT2 Fuzzy Sets," Energies, MDPI, vol. 13(6), pages 1-25, March.
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