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A Dynamic Price Game Model in a Low-Carbon, Closed-Loop Supply Chain Considering Return Rates and Fairness Concern Behaviors

Author

Listed:
  • Qiuxiang Li

    (Institute of management science and engineering, Henan University, Kaifeng 475004, China)

  • Mengnan Shi

    (Business School, Henan University, Kaifeng 475004, China)

  • Yimin Huang

    (School of Management & Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

Abstract

In this paper, we developed a dynamic price game model for a low-carbon, closed-loop supply chain system in which (1) the manufacturer had fairness concern and carbon emission reduction (CER) behaviors, and market share and profit maximization were their objectives, and (2) the retailer showed fairness concern behaviors in market competition and provided service input to reduce return rates. The retailer recycled old products from customers, and the manufacturer remanufactured the recycled old products. The effects of different parameter values on the stability and utility of the dynamic price game model were determined through analysis and numerical simulation. Results found that an increasing customer loyalty to the direct marketing channel decreased the stable region of the manufacturer’s price adjustment and increase that of the retailer. The stable region of the system shrank with an increase of CER and the retailer’s service level, which expanded with return rates. The dynamic system entered into chaos through flip bifurcation with the increase of price adjustment speed. In the chaotic state, the average utilities of the manufacturer and retailer all declined, while that of the retailer declined even more. Changes to parameter values had a great impact on the utilities of the manufacturer and retailer. By selecting appropriate control parameters, the dynamic system can return to a stable state from chaos again. The research of this paper is of great significance to participants’ price decision-making and supply chain operation management.

Suggested Citation

  • Qiuxiang Li & Mengnan Shi & Yimin Huang, 2019. "A Dynamic Price Game Model in a Low-Carbon, Closed-Loop Supply Chain Considering Return Rates and Fairness Concern Behaviors," IJERPH, MDPI, vol. 16(11), pages 1-21, June.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:11:p:1978-:d:237048
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    1. Bisheng Du & Qing Liu & Guiping Li, 2017. "Coordinating Leader-Follower Supply Chain with Sustainable Green Technology Innovation on Their Fairness Concerns," IJERPH, MDPI, vol. 14(11), pages 1-23, November.
    2. Zhi Liu & Xiao-Xue Zheng & Ben-Gang Gong & Yun-Miao Gui, 2017. "Joint Decision-Making and the Coordination of a Sustainable Supply Chain in the Context of Carbon Tax Regulation and Fairness Concerns," IJERPH, MDPI, vol. 14(12), pages 1-20, November.
    3. Yang, Lei & Zhang, Qin & Ji, Jingna, 2017. "Pricing and carbon emission reduction decisions in supply chains with vertical and horizontal cooperation," International Journal of Production Economics, Elsevier, vol. 191(C), pages 286-297.
    4. Zhang, Suyong & Wang, Chuanxu & Yu, Chao, 2019. "The evolutionary game analysis and simulation with system dynamics of manufacturer's emissions abatement behavior under cap-and-trade regulation," Applied Mathematics and Computation, Elsevier, vol. 355(C), pages 343-355.
    5. Keith J. Crocker & Paolo Letizia, 2014. "Optimal Policies for Recovering the Value of Consumer Returns," Production and Operations Management, Production and Operations Management Society, vol. 23(10), pages 1667-1680, October.
    6. Yuyan Wang & Zhaoqing Yu & Liang Shen, 2019. "Study on the decision-making and coordination of an e-commerce supply chain with manufacturer fairness concerns," International Journal of Production Research, Taylor & Francis Journals, vol. 57(9), pages 2788-2808, May.
    7. Yanyan Zheng & Tong Shu & Shouyang Wang & Shou Chen & Kin Keung Lai & Lu Gan, 2018. "Analysis of product return rate and price competition in two supply chains," Operational Research, Springer, vol. 18(2), pages 469-496, July.
    8. Baozhuang Niu & Qinquan Cui & Jie Zhang, 2017. "Impact of channel power and fairness concern on supplier’s market entry decision," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(12), pages 1570-1581, December.
    9. Peng Ma & Kevin W. Li & Zhou-Jing Wang, 2017. "Pricing decisions in closed-loop supply chains with marketing effort and fairness concerns," International Journal of Production Research, Taylor & Francis Journals, vol. 55(22), pages 6710-6731, November.
    10. Ramanathan, Ramakrishnan, 2011. "An empirical analysis on the influence of risk on relationships between handling of product returns and customer loyalty in E-commerce," International Journal of Production Economics, Elsevier, vol. 130(2), pages 255-261, April.
    11. Hołyst, Janusz A & Urbanowicz, Krzysztof, 2000. "Chaos control in economical model by time-delayed feedback method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 587-598.
    12. A. Matsumoto, 2006. "Controlling the Cournot-Nash Chaos," Journal of Optimization Theory and Applications, Springer, vol. 128(2), pages 379-392, February.
    13. Yan, Ruiliang & Pei, Zhi, 2011. "Information asymmetry, pricing strategy and firm's performance in the retailer- multi-channel manufacturer supply chain," Journal of Business Research, Elsevier, vol. 64(4), pages 377-384, April.
    14. Hui Li & Chuanxu Wang & Meng Shang & Wei Ou, 2017. "Pricing, Carbon Emission Reduction, Low-Carbon Promotion and Returning Decision in a Closed-Loop Supply Chain under Vertical and Horizontal Cooperation," IJERPH, MDPI, vol. 14(11), pages 1-26, November.
    15. Yadong Shu & Ying Dai & Zujun Ma, 2019. "Pricing Decisions in Closed-Loop Supply Chains with Peer-Induced Fairness Concerns," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
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