IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i3p1792-d1040271.html
   My bibliography  Save this article

Dual-Channel Pricing Decisions for Product Recycling in Green Supply Chain Operations: Considering the Impact of Consumer Loss Aversion

Author

Listed:
  • Jiaying Xu

    (School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China)

  • Qingfeng Meng

    (School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China)

  • Yuqing Chen

    (School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China)

  • Jia Zhao

    (School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China)

Abstract

With the vigorous rise of online third-party recycling platforms, dual-channel recycling has become the primary recycling mode in the reverse supply chain (RSC). However, as the main body of recycling, consumers have a significant impact on the recycling process, and their behavioral preferences are rarely considered in the pricing decision of the reverse recycling supply chain. Based on the dual-channel RSC, this paper considers the competition among channels. It introduces the loss aversion behavior preference of consumers to establish a dual-channel RSC composed of remanufacturers and online and offline recyclers. This study aims to analyze the impact of consumers’ loss aversion behavior on the recycling pricing and profit of each node in the green RSC and discuss the decision of recyclers under consumers’ loss aversion behavior. The results show that the deeper consumers’ aversion to the loss of recycling price, the lower the recycling price of dual-channel recyclers will be, which will be more conducive to the increase in the profit of online recyclers. However, the profit of remanufacturers will be reduced, and the total amount of recycling will decline. This paper considers the impact of consumer loss aversion behavior on dual-channel reverse supply chain pricing decisions based on prospect theory. It provides references for chain members to set recycling prices to increase people’s enthusiasm for recycling and the amount of recycled scrap, contributes to the cause of resource conservation and environmental protection, and improves the economic efficiency of recycling enterprises.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:1792-:d:1040271
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/3/1792/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/3/1792/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peng Li & Di Wu, 2021. "A Multi-Echelon Network Design in a Dual-Channel Reverse Supply Chain Considering Consumer Preference," IJERPH, MDPI, vol. 18(9), pages 1-24, April.
    2. 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.
    3. 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.
    4. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    5. Chengli Liu & C. K. M. Lee & K. H. Leung, 2019. "Pricing Strategy in Dual-Channel Supply Chains with Loss-Averse Consumers," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(05), pages 1-22, October.
    6. 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.
    7. Juhong Chen & Di Wu & Peng Li, 2018. "Research on the Pricing Model of the Dual-Channel Reverse Supply Chain Considering Logistics Costs and Consumers’ Awareness of Sustainability Based on Regional Differences," Sustainability, MDPI, vol. 10(7), pages 1-31, June.
    8. Feng, Lipan & Govindan, Kannan & Li, Chunfa, 2017. "Strategic planning: Design and coordination for dual-recycling channel reverse supply chain considering consumer behavior," European Journal of Operational Research, Elsevier, vol. 260(2), pages 601-612.
    9. Ting Li & Dongyun Yan & Shuxia Sui, 2020. "Research on the Complexity of Game Model about Recovery Pricing in Reverse Supply Chain considering Fairness Concerns," Complexity, Hindawi, vol. 2020, pages 1-13, May.
    10. Das, Debabrata & Dutta, Pankaj, 2022. "Product return management through promotional offers: The role of consumers’ loss aversion," International Journal of Production Economics, Elsevier, vol. 251(C).
    11. Bi-feng Liao & Bing-zhang Wang, 2020. "Impact of Consumer Loss Aversion on Operations in the Context of Remanufacturing," Complexity, Hindawi, vol. 2020, pages 1-10, October.
    12. Shen, Bin & Xu, Xiaoyan & Guo, Shu, 2019. "The impacts of logistics services on short life cycle products in a global supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 153-167.
    13. Yanting Huang & Zongjun Wang, 2019. "Pricing and production decisions in a closed-loop supply chain considering strategic consumers and technology licensing," International Journal of Production Research, Taylor & Francis Journals, vol. 57(9), pages 2847-2866, May.
    14. Matsui, Kenji, 2022. "Optimal timing of acquisition price announcement for used products in a dual-recycling channel reverse supply chain," European Journal of Operational Research, Elsevier, vol. 300(2), pages 615-632.
    15. Yao Kang & Juhong Chen & Di Wu, 2020. "Research on Pricing and Service Level Strategies of Dual Channel Reverse Supply Chain Considering Consumer Preference in Multi-Regional Situations," IJERPH, MDPI, vol. 17(23), pages 1-21, December.
    16. Xigang Yuan & Fei Tang & Dalin Zhang & Xiaoqing Zhang, 2021. "Green Remanufacturer’s Mixed Collection Channel Strategy Considering Enterprise’s Environmental Responsibility and the Fairness Concern in Reverse Green Supply Chain," IJERPH, MDPI, vol. 18(7), pages 1-18, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuling Sun & Xiaomei Song & Xiang Fang & Jian Guo, 2023. "Self-Built or Third-Party Blockchain Traceability Strategy in a Dual-Channel Supply Chain Considering Consumers’ Traceability Awareness," Mathematics, MDPI, vol. 11(20), pages 1-21, October.
    2. Yu Xia & Rongrong Shang & Mingxia Wei & Zhenke Wei, 2024. "Optimal pricing and financing decision of dual-channel green supply chain considering product differentiation and blockchain," Annals of Operations Research, Springer, vol. 338(2), pages 1317-1358, July.
    3. Lihua Hu & Tao Fan, 2023. "Guarantee Stability of Supply Chain with Dual Channels under Supply Failure of Goods," Sustainability, MDPI, vol. 15(7), pages 1-15, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhen Li & Jia Zhao & Qingfeng Meng, 2022. "Dual-channel recycling e-waste pricing decision under the impact of recyclers’ loss aversion and consumers’ bargaining power," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11697-11720, October.
    2. Haoxuan Zheng & Xingwei Li & Xiaowen Zhu & Yicheng Huang & Zhili Liu & Yuxin Liu & Jiaxin Liu & Xiangye Li & Yuejia Li & Chunhui Li, 2022. "Impact of Recycler Information Sharing on Supply Chain Performance of Construction and Demolition Waste Resource Utilization," IJERPH, MDPI, vol. 19(7), pages 1-22, March.
    3. Xie, Wei & Yu, Huilin & Zhong, Yuanguang & Zhou, Yong-Wu, 2024. "Impact of loss aversion on financing mechanism preference under consignment: Direct vs. Guarantee," European Journal of Operational Research, Elsevier, vol. 314(1), pages 206-228.
    4. Luigi Guiso, 2015. "A Test of Narrow Framing and its Origin," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(1), pages 61-100, March.
    5. Shuli Liu & Xinwang Liu, 2016. "A Sample Survey Based Linguistic MADM Method with Prospect Theory for Online Shopping Problems," Group Decision and Negotiation, Springer, vol. 25(4), pages 749-774, July.
    6. Duncan Luce, R., 1997. "Associative joint receipts," Mathematical Social Sciences, Elsevier, vol. 34(1), pages 51-74, August.
    7. repec:cup:judgdm:v:12:y:2017:i:1:p:81-89 is not listed on IDEAS
    8. Attema, Arthur E. & Brouwer, Werner B.F., 2012. "A test of independence of discounting from quality of life," Journal of Health Economics, Elsevier, vol. 31(1), pages 22-34.
    9. Klein, Martin & Deissenroth, Marc, 2017. "When do households invest in solar photovoltaics? An application of prospect theory," Energy Policy, Elsevier, vol. 109(C), pages 270-278.
    10. Junior, Peterson Owusu & Tiwari, Aviral Kumar & Padhan, Hemachandra & Alagidede, Imhotep, 2020. "Analysis of EEMD-based quantile-in-quantile approach on spot- futures prices of energy and precious metals in India," Resources Policy, Elsevier, vol. 68(C).
    11. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    12. Uriel Procaccia & Uzi Segal, 2003. "Super Majoritarianism and the Endowment Effect," Theory and Decision, Springer, vol. 55(3), pages 181-207, November.
    13. Drichoutis, Andreas C. & Vassilopoulos, Achilleas & Lusk, Jayson L. & Nayga, Rodolfo M. Jr., 2015. "Reference dependence, consequentiality and social desirability in value elicitation: A study of fair labor labeling," 143rd Joint EAAE/AAEA Seminar, March 25-27, 2015, Naples, Italy 202705, European Association of Agricultural Economists.
    14. Mariya Burdina & Scott Hiller, 2021. "When Falling Just Short is a Good Thing: The Effect of Past Performance on Improvement," Journal of Sports Economics, , vol. 22(7), pages 777-798, October.
    15. Häckel, Björn & Pfosser, Stefan & Tränkler, Timm, 2017. "Explaining the energy efficiency gap - Expected Utility Theory versus Cumulative Prospect Theory," Energy Policy, Elsevier, vol. 111(C), pages 414-426.
    16. Atalay, Kadir & Bakhtiar, Fayzan & Cheung, Stephen & Slonim, Robert, 2014. "Savings and prize-linked savings accounts," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 86-106.
    17. Ulrich Schmidt & Horst Zank, 2012. "A genuine foundation for prospect theory," Journal of Risk and Uncertainty, Springer, vol. 45(2), pages 97-113, October.
    18. Wang, Suxin & Rong, Ximin & Zhao, Hui, 2019. "Optimal investment and benefit payment strategy under loss aversion for target benefit pension plans," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 205-218.
    19. Elbæk, Christian T. & Lystbæk, Martin Nørhede & Mitkidis, Panagiotis, 2022. "On the psychology of bonuses: The effects of loss aversion and Yerkes-Dodson law on performance in cognitively and mechanically demanding tasks," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    20. Han Bleichrodt, 2002. "A new explanation for the difference between time trade‐off utilities and standard gamble utilities," Health Economics, John Wiley & Sons, Ltd., vol. 11(5), pages 447-456, July.
    21. Tian, Ye & Li, Yudi & Sun, Jian, 2022. "Stick or carrot for traffic demand management? Evidence from experimental economics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 235-254.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:1792-:d:1040271. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.