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Pricing, Green Degree and Coordination Decisions in a Green Supply Chain with Loss Aversion

Author

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  • Zhongwei Feng

    (School of Business, Central South University, Changsha 410083, Hunan, China)

  • Chunqiao Tan

    (School of Business, Central South University, Changsha 410083, Hunan, China
    School of Economics and Management, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China)

Abstract

The consumer environmental awareness promotes green manufacturing and the behavioral preferences of members become prevailing in supply chain management. To promote further development of green supply chains, a two-echelon green supply chain with a manufacturer and a retailer is considered, where the manufacturer is loss-averse and the retailer is risk-neutral. We use a Stackelberg game to investigate the impacts of loss aversion and green efficiency coefficient on retail price, wholesale price, green degree, profits of members, and profit of the green supply chain under the assumption that manufacturer’s reference point of loss aversion is equal to the subgame perfect equilibrium partition. It is shown that, in the centralized decision-making setting (CDS), green degree and profit of the green supply chain are higher than those in the decentralized decision-making setting (DDS), while in the decentralized decision-making setting with a loss-averse manufacturer (DDS-LAM) loss aversion of manufacturer further decreases green degree and profit of green supply chain. It is also found that profits of the manufacturer and the retailer decrease with levels of loss aversion of manufacturer. Furthermore, it is also shown that wholesale price and retail price in the three decision-making settings depend on the green efficiency coefficient. Wholesale price and retail price in DDS-LAM are always the lowest (highest) if the green efficiency coefficient is sufficiently high (low). Finally, executing a greening cost-sharing contract can improve chain members’ profits if the retailer shares an appropriate proportion with the loss-averse manufacturer.

Suggested Citation

  • Zhongwei Feng & Chunqiao Tan, 2019. "Pricing, Green Degree and Coordination Decisions in a Green Supply Chain with Loss Aversion," Mathematics, MDPI, vol. 7(3), pages 1-25, March.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:3:p:239-:d:211584
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    as
    1. Rubinstein, Ariel, 1982. "Perfect Equilibrium in a Bargaining Model," Econometrica, Econometric Society, vol. 50(1), pages 97-109, January.
    2. Zhang, Linghong & Wang, Jingguo & You, Jianxin, 2015. "Consumer environmental awareness and channel coordination with two substitutable products," European Journal of Operational Research, Elsevier, vol. 241(1), pages 63-73.
    3. S Swami & J Shah, 2013. "Channel coordination in green supply chain management," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(3), pages 336-351, March.
    4. Chunqiao Tan & Zhaodu Liu & Desheng Dash Wu & Xiaohong Chen, 2018. "Cournot game with incomplete information based on rank-dependent utility theory under a fuzzy environment," International Journal of Production Research, Taylor & Francis Journals, vol. 56(5), pages 1789-1805, March.
    5. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    6. Peters, Hans, 2012. "A preference foundation for constant loss aversion," Journal of Mathematical Economics, Elsevier, vol. 48(1), pages 21-25.
    7. Jonathan Shalev, 2000. "Loss aversion equilibrium," International Journal of Game Theory, Springer;Game Theory Society, vol. 29(2), pages 269-287.
    8. Wang, Charles X. & Webster, Scott, 2009. "The loss-averse newsvendor problem," Omega, Elsevier, vol. 37(1), pages 93-105, February.
    9. Ghosh, Debabrata & Shah, Janat, 2012. "A comparative analysis of greening policies across supply chain structures," International Journal of Production Economics, Elsevier, vol. 135(2), pages 568-583.
    10. Louis Eeckhoudt & Christian Gollier & Harris Schlesinger, 1995. "The Risk-Averse (and Prudent) Newsboy," Management Science, INFORMS, vol. 41(5), pages 786-794, May.
    11. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    12. Sheu, Jiuh-Biing & Chen, Yenming J., 2012. "Impact of government financial intervention on competition among green supply chains," International Journal of Production Economics, Elsevier, vol. 138(1), pages 201-213.
    13. Driesen, Bram & Perea, Andrés & Peters, Hans, 2012. "Alternating offers bargaining with loss aversion," Mathematical Social Sciences, Elsevier, vol. 64(2), pages 103-118.
    14. Huang, Zhimin & Li, Susan X., 2001. "Co-op advertising models in manufacturer-retailer supply chains: A game theory approach," European Journal of Operational Research, Elsevier, vol. 135(3), pages 527-544, December.
    15. Liu, Zugang (Leo) & Anderson, Trisha D. & Cruz, Jose M., 2012. "Consumer environmental awareness and competition in two-stage supply chains," European Journal of Operational Research, Elsevier, vol. 218(3), pages 602-613.
    16. Shaofu Du & Yujiao Zhu & Tengfei Nie & Haisuo Yu, 2018. "Loss-averse preferences in a two-echelon supply chain with yield risk and demand uncertainty," Operational Research, Springer, vol. 18(2), pages 361-388, July.
    17. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    18. Ghosh, Debabrata & Shah, Janat, 2015. "Supply chain analysis under green sensitive consumer demand and cost sharing contract," International Journal of Production Economics, Elsevier, vol. 164(C), pages 319-329.
    19. Östlin, Johan & Sundin, Erik & Björkman, Mats, 2008. "Importance of closed-loop supply chain relationships for product remanufacturing," International Journal of Production Economics, Elsevier, vol. 115(2), pages 336-348, October.
    20. Yu, Yugang & Han, Xiaoya & Hu, Guiping, 2016. "Optimal production for manufacturers considering consumer environmental awareness and green subsidies," International Journal of Production Economics, Elsevier, vol. 182(C), pages 397-408.
    21. Wu, Jun & Wang, Shouyang & Chao, Xiuli & Ng, C.T. & Cheng, T.C.E., 2010. "Impact of risk aversion on optimal decisions in supply contracts," International Journal of Production Economics, Elsevier, vol. 128(2), pages 569-576, December.
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    Cited by:

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    2. Jiaying Xu & Qingfeng Meng & Yuqing Chen & Jia Zhao, 2023. "Dual-Channel Pricing Decisions for Product Recycling in Green Supply Chain Operations: Considering the Impact of Consumer Loss Aversion," IJERPH, MDPI, vol. 20(3), pages 1-15, January.

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