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Impacts of Optimistic Green R&D in a Sustainable Supply Chain with Information Asymmetry

Author

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  • Shengzhong Huang

    (School of Management, China University of Mining and Technology-Beijing, Beijing 100083, China)

  • Yifeng Lei

    (School of Management, China University of Mining and Technology-Beijing, Beijing 100083, China)

  • Hongyong Fu

    (Research Center of Supply Chain Compliance Management, Southwest University of Political Science and Law, Chongqing 401120, China)

Abstract

With consumers increasing in environmental awareness, manufacturers have integrated green R&D into their strategies, aiming to grasp the green market. However, manufacturers may be too bullish on the market potential of green products and maintain an optimistic attitude toward green R&D. Despite having an optimistic attitude, manufacturers often have no demand information advantage over downstream retailers due to their position in the supply chain, away from the market. It is worth exploring what impact optimistic green R&D in a sustainable supply chain with demand information asymmetry will have. Previous studies have not managed to reveal this. In this study, a stylized model is introduced to explore this question. The main findings are as follows: (1) optimistic green R&D increases the feasibility of the retailer sharing demand information, which facilitates information communication in the sustainable supply chain; (2) in most cases, optimistic green R&D does not bring higher profits for the manufacturer, yet is likely to allow the retailer to earn more, thereby resulting in a loss–win outcome; and (3) depending on the green R&D efficiency of the manufacturer and the consumer’s environmental awareness, optimistic green R&D may not generate higher environmental benefits.

Suggested Citation

  • Shengzhong Huang & Yifeng Lei & Hongyong Fu, 2025. "Impacts of Optimistic Green R&D in a Sustainable Supply Chain with Information Asymmetry," Sustainability, MDPI, vol. 17(15), pages 1-26, July.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:15:p:6970-:d:1714596
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    References listed on IDEAS

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    1. Jin, Minyue & Zhang, Xueqing & Xiong, Yu & Zhou, Yu, 2021. "Implications of green optimism upon sustainable supply chain management," European Journal of Operational Research, Elsevier, vol. 295(1), pages 131-139.
    2. Zhang, Shuguang & Dan, Bin & Zhou, Maosen, 2019. "After-sale service deployment and information sharing in a supply chain under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 279(2), pages 351-363.
    3. Simon, Mark & Shrader, Rodney C., 2012. "Entrepreneurial actions and optimistic overconfidence: The role of motivated reasoning in new product introductions," Journal of Business Venturing, Elsevier, vol. 27(3), pages 291-309.
    4. Baozhuang Niu & Zifan Shen & Qiyang Li, 2023. "Information advantage and payment disadvantage when selling goods through a powerful retailer," Annals of Operations Research, Springer, vol. 331(1), pages 417-446, December.
    5. Chen, Jen-Yi & Dimitrov, Stanko & Pun, Hubert, 2019. "The impact of government subsidy on supply Chains’ sustainability innovation," Omega, Elsevier, vol. 86(C), pages 42-58.
    6. Baojun Jiang & Chang Liu, 2019. "Managerial Optimism in a Competitive Market," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 833-846, April.
    7. Panda, Shibaji, 2014. "Coordination of a socially responsible supply chain using revenue sharing contract," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 92-104.
    8. Hua, Jiawen & Lin, Jun & Wang, Kai & Liu, Guoquan, 2023. "Government interventions in new technology adoption to improve product greenness," International Journal of Production Economics, Elsevier, vol. 262(C).
    9. Kartick Dey & Sankhadip Roy & Subrata Saha, 2019. "The impact of strategic inventory and procurement strategies on green product design in a two-period supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 1915-1948, April.
    10. Yang Song & Tijun Fan & Yuewu Tang & Fengli Zou, 2021. "Quality information acquisition and ordering decisions with risk aversion," International Journal of Production Research, Taylor & Francis Journals, vol. 59(22), pages 6864-6880, November.
    11. Yanli Tang & Suresh P. Sethi & Yulan Wang, 2023. "Games of supplier encroachment channel selection and e‐tailer's information sharing," Production and Operations Management, Production and Operations Management Society, vol. 32(11), pages 3650-3664, November.
    12. Yunjie Wang & Albert Y. Ha & Shilu Tong, 2022. "Sharing Manufacturer’s Demand Information in a Supply Chain with Price and Service Effort Competition," Manufacturing & Service Operations Management, INFORMS, vol. 24(3), pages 1698-1713, May.
    13. Yanjie Wang & Qinpeng Wang & Jingao Shi, 2024. "Demand Forecast Information Sharing in Low-Carbon Supply Chains," Sustainability, MDPI, vol. 16(20), pages 1-15, October.
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