IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/9645087.html
   My bibliography  Save this article

Optimal Strategies for Low Carbon Supply Chain with Strategic Customer Behavior and Green Technology Investment

Author

Listed:
  • Wen Jiang
  • Xu Chen

Abstract

Climate change is mainly caused by excessive emissions of carbon dioxide and other greenhouse gases. In order to reduce carbon emissions, cap and trade policy is implemented by governments in many countries, which has significant impacts on the decisions of companies at all levels of the low carbon supply chain. This paper investigates the decision-making and coordination of a low carbon supply chain consisting of a low carbon manufacturer who produces one product and is allowed to invest in green technology to reduce carbon emissions in production and a retailer who faces stochastic demands formed by homogeneous strategic customers. We investigate the optimal production, pricing, carbon trading, and green technology investment strategies of the low carbon supply chain in centralized (including Rational Expected Equilibrium scenario and quantity commitment scenario) and decentralized settings. It is demonstrated that quantity commitment strategy can improve the profit of the low carbon supply chain with strategic customer behavior. We also show that the performance of decentralized supply chain is lower than that of quantity commitment scenario. We prove that the low carbon supply chain cannot be coordinated by revenue sharing contract but by revenue sharing-cost sharing contract.

Suggested Citation

  • Wen Jiang & Xu Chen, 2016. "Optimal Strategies for Low Carbon Supply Chain with Strategic Customer Behavior and Green Technology Investment," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-13, February.
  • Handle: RePEc:hin:jnddns:9645087
    DOI: 10.1155/2016/9645087
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2016/9645087.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/DDNS/2016/9645087.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2016/9645087?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
    ---><---

    Citations

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


    Cited by:

    1. Luo, Ruiling & Zhou, Li & Song, Yang & Fan, Tijun, 2022. "Evaluating the impact of carbon tax policy on manufacturing and remanufacturing decisions in a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 245(C).

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnddns:9645087. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.