IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v292y2021i1p172-183.html
   My bibliography  Save this article

The direct and cross effects in a supply chain with consumers sensitive to both carbon emissions and delivery time

Author

Listed:
  • He, Ping
  • Wang, Zheng
  • Shi, Victor
  • Liao, Yi

Abstract

In this paper, we study a supply chain consisting of an upstream manufacturer who faces carbon tax regulation from the government, and a downstream retailer who sells the product to consumers via an online channel. The consumers are sensitive to the product's carbon emission as well as its delivery time. Building Stackelberg game models, we explore how consumers’ dual sensitivities to carbon emission and delivery time impact the two firms’ optimal decisions and profits. Our major findings are as follow. First, as expected, there are “direct effects” of consumer's dual sensitivities: the retailer's optimal delivery time decreases as consumers’ sensitivity to delivery time increases; the manufacturer's optimal carbon emission reduction effort level increases as consumers’ sensitivity to carbon emissions increases. Second and more importantly, there are distinct “cross effects” of consumers’ dual sensitivities: when the sensitivity to delivery time increases, the manufacturer's optimal carbon emission reduction effort level first decreases and then increases; if carbon tax rate increases, the retailer's optimal delivery time first increases and then decreases; if the sensitivity to the product's carbon emissions increases, the retailer's optimal delivery time always decreases. To address the potential free riding problem due to these “cross effects”, we propose a two-way cost sharing contract for the supply chain, where each firm shares a certain proportion of the other's investment cost. We show that this contract can achieve Pareto improvement for the supply chain.

Suggested Citation

  • He, Ping & Wang, Zheng & Shi, Victor & Liao, Yi, 2021. "The direct and cross effects in a supply chain with consumers sensitive to both carbon emissions and delivery time," European Journal of Operational Research, Elsevier, vol. 292(1), pages 172-183.
  • Handle: RePEc:eee:ejores:v:292:y:2021:i:1:p:172-183
    DOI: 10.1016/j.ejor.2020.10.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221720309073
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2020.10.031?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Yang, Yang & Liu, Jie & Hu, Taizhong, 2023. "Capital allocation and pricing decisions under trade credit with time-sensitive stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    2. Xu, Xiaoping & Guo, Shunan & Cheng, T.C.E. & Du, Pengcheng, 2023. "The choice between the agency and reselling modes considering green technology with the cap-and-trade scheme," International Journal of Production Economics, Elsevier, vol. 260(C).
    3. Hongbo Guo & Mengtong Lu & Lili Ding, 2022. "The Effect of Consumer Sentiment on Manufacturers’ Green Technology Innovation: A RDEU Evolutionary Game Model," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    4. Liang Shen & Fei Lin & T. C. E. Cheng, 2022. "Low-Carbon Transition Models of High Carbon Supply Chains under the Mixed Carbon Cap-and-Trade and Carbon Tax Policy in the Carbon Neutrality Era," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    5. Xu, Xiaoping & Zhang, Mengying & Chen, Lai & Yu, Yugang, 2022. "The region-cap allocation and delivery time decision in the marketplace mode under the cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 247(C).
    6. Jiaguo Liu & Huida Zhao & Yibing Lyu & Xiaohang Yue, 2023. "The provision strategy of blockchain service under the supply chain with downstream competition," Annals of Operations Research, Springer, vol. 327(1), pages 375-400, August.
    7. Sarin Raju & T. M. Rofin & S. Pavan Kumar, 2024. "Pricing decisions during panic buying and its effect on a dual-channel supply chain under different channel power structures," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(2), pages 83-95, April.
    8. Zhai, Yue & Hua, Guowei & Cheng, Meng & Cheng, T.C.E., 2023. "Production lead-time hedging and order allocation in an MTO supply chain," European Journal of Operational Research, Elsevier, vol. 311(3), pages 887-905.
    9. Lina Ma & Xinran Zhang & Yushen Du, 2021. "Influence Mechanism on Supplier Emission Reduction Based on a Two-Level Supply Chain," IJERPH, MDPI, vol. 18(23), pages 1-16, November.
    10. Xiaojiao Qiao & Shimeng Xu & Dan Shi & Xiukun Zhao, 2023. "Data-Driven Sustainable Supply Chain Decision Making in the Presence of Low Carbon Awareness," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    11. Xu, Xiaoping & He, Ping & Zhou, Li & Cheng, T.C.E., 2023. "Coordination of a platform-based supply chain in the marketplace or reselling mode considering cross-channel effect and blockchain technology," European Journal of Operational Research, Elsevier, vol. 309(1), pages 170-187.
    12. Li, Yongjian & Yao, Song & Wang, Jun, 2023. "Signaling strategies in a low-carbon supply chain with platform encroachment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    13. Qiang Du & Jiajie Zhou, 2022. "Evolution of Low Carbon Supply Chain Research: A Systematic Bibliometric Analysis," IJERPH, MDPI, vol. 19(23), pages 1-20, November.
    14. Liangui Peng & Ying Li & Hui Yu, 2021. "Effects of Dual Credit Policy and Consumer Preferences on Production Decisions in Automobile Supply Chain," Sustainability, MDPI, vol. 13(11), pages 1-19, May.

    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:eee:ejores:v:292:y:2021:i:1:p:172-183. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.