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Information sharing format and carbon emission abatement in a supply chain with competition

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  • Man Yu
  • Erbao Cao

Abstract

This paper aims to investigate the interaction between information management and operational management and a retailer’s ability of truthful information sharing, considering government environmental policies and public eco-friendly awareness. Under cap-and-trade regulation, we analyse different information sharing formats (no information sharing, partial information sharing, and public information sharing) among a supply chain comprised of one manufacturer, one incumbent retailer with private demand information, and an uninformed entrant retailer. The result shows that the incumbent retailer’s decision on information sharing format and the ability of truthful information are significantly affected by the manufacturer’s capability in abating carbon emissions and the demand uncertainty. In partial information sharing scenario, a babbling equilibrium dominates an informative equilibrium. In public information sharing scenario, the incumbent retailer is able to share truthful information under a sequential-move. Moreover, we examine the impacts of public information sharing on every member’s profit. The results show that public information sharing benefits the incumbent retailer when the demand uncertainty is relatively small. The manufacturer always benefit from public information sharing. Consequently, to obtain the benefits of information sharing, the manufacturer should make effort to improve carbon emission abatement capacity.

Suggested Citation

  • Man Yu & Erbao Cao, 2020. "Information sharing format and carbon emission abatement in a supply chain with competition," International Journal of Production Research, Taylor & Francis Journals, vol. 58(22), pages 6775-6790, November.
  • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:22:p:6775-6790
    DOI: 10.1080/00207543.2019.1685704
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    Citations

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    Cited by:

    1. Jun Wang & Rui Ma & Xinman Lu & Baoqin Yu, 2022. "Emission reduction cooperation in a dynamic supply chain with competitive retailers," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 14261-14297, December.
    2. Hong, Xianpei & He, Yimeng & Zhou, Pin & Chen, Jiguang, 2023. "Demand information sharing in a contract farming supply chain," European Journal of Operational Research, Elsevier, vol. 309(2), pages 560-577.
    3. Zhang, Cheng & Xiao, Guangnian & Xu, Lang, 2024. "Manufacturers' emission-reduction investments in competing supply chains with Prisoner’s Dilemma: The economic and environmental impacts of Retailer(s) capital Constraint(s)," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    4. Jinjin Liu & Hua Ke & Yuan Gao, 2022. "Manufacturer’s R &D cooperation contract: linear fee or revenue-sharing payment in a low-carbon supply chain," Annals of Operations Research, Springer, vol. 318(1), pages 323-355, November.
    5. Ying Gao & Jianteng Xu & Huixin Xu, 2021. "A Flexible Cap-and-Trade Policy and Limited Demand Information Effects on a Sustainable Supply Chain," Sustainability, MDPI, vol. 13(19), pages 1-23, September.
    6. Li, Zhiwen & Xu, Xianhao & Bai, Qingguo & Chen, Cheng & Wang, Hongwei & Xia, Peng, 2023. "Implications of information sharing on blockchain adoption in reducing carbon emissions: A mean–variance analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 178(C).
    7. Cao, Kaiying & Guo, Qiang & Xu, Yuqiu, 2023. "Information sharing and carbon reduction strategies with extreme weather in the platform economy," International Journal of Production Economics, Elsevier, vol. 255(C).
    8. Tianjian Yang & Chunmei Li & Xiongping Yue & Beibei Zhang, 2022. "Decisions for Blockchain Adoption and Information Sharing in a Low Carbon Supply Chain," Mathematics, MDPI, vol. 10(13), pages 1-23, June.
    9. Lihua Jiang & Wei Chen & Shichang Lu & Zhaoxiang Chen, 2022. "Regulatory Effect on Information Sharing of Industrial Internet Platforms Based on Three Differentiated Game Scenarios," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    10. Panpan Li & Baojun Zhang & Ying Ji, 2024. "A study on supply chain optimization with uncertain demand under the cap-and-trade system," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 17449-17473, July.

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