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Risk Transmission in Low-Carbon Supply Chains Considering Corporate Risk Aversion

Author

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  • Tingqiang Chen

    (School of Economics and Management, Nanjing Tech University, Nanjing 211816, China
    School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Ruirui Zhu

    (School of Economics and Management, Nanjing Tech University, Nanjing 211816, China)

  • Lei Wang

    (School of Economics and Management, Nanjing Tech University, Nanjing 211816, China)

Abstract

In order to study the impact of risk aversion characteristics of enterprises on supply chain risk transmission, the risk aversion utility function is introduced, and the risk elasticity coefficient is used to construct a supplier-dominated low-carbon supply chain risk transmission model. Simulation analysis is conducted to investigate the transmission of emission reduction and revenue risks caused by internal and external contingent risk factors. The study reveals that under conditions of market demand uncertainty, the risk transmission effect is unaffected by the risk aversion characteristics of members in the low-carbon supply chain. While the risk-aversion characteristics of suppliers can decrease their own profit risk, they have a negative effect on the profit risk of manufacturers and the emission reduction risk of supply chain nodes. There exists a critical threshold for the impact of the risk-aversion degree of suppliers on their own emission reduction risk transmission effect. When this threshold is exceeded, the emission reduction risk decreases with increasing risk aversion intensity of suppliers, and vice versa. The risk aversion characteristics of manufacturers can weaken the negative effect of supplier risk aversion on the fluctuation risk of manufacturer profits, but they exacerbate the emission reduction risk transmission effect of manufacturers under asymmetric information influence. The findings have important theoretical and practical implications for supply chain risk management.

Suggested Citation

  • Tingqiang Chen & Ruirui Zhu & Lei Wang, 2024. "Risk Transmission in Low-Carbon Supply Chains Considering Corporate Risk Aversion," Mathematics, MDPI, vol. 12(13), pages 1-29, June.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:13:p:2009-:d:1424724
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    References listed on IDEAS

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    1. Wang, Jiepeng & Zhou, Hong & Zhao, Yujie, 2022. "Behavior evolution of supply chain networks under disruption risk — From aspects of time dynamic and spatial feature," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    2. Hongchun Wang & Xinyan Zhang & Kebing Chen, 2022. "Research on Supply Chain Risk Transmission Mechanism Based on Improved SIRS Model," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, January.
    3. Yangang Feng & Yi Hu & Lin He & Viktor Avrutin, 2021. "Research on Coordination of Fresh Agricultural Product Supply Chain considering Fresh-Keeping Effort Level under Retailer Risk Avoidance," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-15, May.
    4. Tingqiang Chen & Yuejuan Hou & Lei Wang & Zeyu Li, 2023. "Counterparty Risk Contagion Model of Carbon Quota Based on Asset Price Reduction," Sustainability, MDPI, vol. 15(14), pages 1-35, July.
    5. Varun Gupta & Dmitry Ivanov, 2020. "Dual sourcing under supply disruption with risk-averse suppliers in the sharing economy," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 291-307, January.
    6. Liu, Mengqi & Cao, Erbao & Salifou, Coulibaly Kigbajah, 2016. "Pricing strategies of a dual-channel supply chain with risk aversion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 108-120.
    7. Qinpeng Wang & Longfei He, 2018. "Managing Risk Aversion for Low-Carbon Supply Chains with Emission Abatement Outsourcing," IJERPH, MDPI, vol. 15(2), pages 1-20, February.
    8. Wang, Jiepeng & Zhou, Hong & Jin, Xiaodan, 2021. "Risk transmission in complex supply chain network with multi-drivers," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    9. Kostas Bimpikis & Ozan Candogan & Shayan Ehsani, 2019. "Supply Disruptions and Optimal Network Structures," Management Science, INFORMS, vol. 65(12), pages 5504-5517, December.
    10. Tesfaye T. Lemma & Mehrzad Azmi Shabestari & Martin Freedman & Mthokozisi Mlilo, 2020. "Corporate carbon risk exposure, voluntary disclosure, and financial reporting quality," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 2130-2143, July.
    11. Sheridan Titman, 2021. "Risk Transmission Across Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4579-4587, December.
    12. Burak Kazaz & Scott Webster, 2015. "Technical Note—Price-Setting Newsvendor Problems with Uncertain Supply and Risk Aversion," Operations Research, INFORMS, vol. 63(4), pages 807-811, August.
    13. Tesfaye Taddese Lemma & Mehrzad Azmi Shabestari & Martin Freedman & Ayalew Lulseged & Mthokozisi Mlilo, 2020. "Corporate carbon risk, voluntary disclosure and debt maturity," International Journal of Accounting & Information Management, Emerald Group Publishing Limited, vol. 28(4), pages 667-683, April.
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