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The Optimal Carbon Reduction and Return Strategies under Carbon Tax Policy

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  • Jia Wang

    (School of Tourism, Tourism Research Institute, Nanchang University, 999 Xuefu Avenue, Nanchang 330031, China)

  • Xijia Huang

    (Jiangxi Development Research Institute, School of Tourism, Nanchang University, 999 Xuefu Avenue, Nanchang 330031, China)

Abstract

Recently, consumers have been increasingly shopping due to the development of e-commerce; thus, many traditional firms producing green products are entering e-commerce platforms to sell products for their survival. In the contexts of online sales and carbon tax policy, firms need to determine an optimal carbon reduction level and online return strategies. To address firms’ decision-making challenges, we consider a firm producing and selling its green products via an e-commerce platform. For optimal online return strategies, we find that if the residual value of the returned product is relatively small, the firm should not offer an online return service; otherwise, the firm should offer this service. Moreover, the results show that carbon tax policy is detrimental to the firm and consumers, while increasing the average customer satisfaction rate of the product benefits the firm and consumers. Interestingly, we find that the platform should reduce its referral fee as the unit carbon tax increases.

Suggested Citation

  • Jia Wang & Xijia Huang, 2018. "The Optimal Carbon Reduction and Return Strategies under Carbon Tax Policy," Sustainability, MDPI, vol. 10(7), pages 1-14, July.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2471-:d:158036
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    References listed on IDEAS

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    Cited by:

    1. Jiajia Cao & Bing Xu & Jia Wang, 2019. "Optimal Channel Choice of Firms with New and Remanufactured Products in the Contexts of E-Commerce and Carbon Tax Policy," Sustainability, MDPI, vol. 11(19), pages 1-12, September.
    2. Chenbo Zhu & Juntian Yue & Jing Chen, 2022. "Green Product Development and Order Strategies for Retailers," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    3. Yuan Shao & Xudong Deng & Qiankai Qing & Yajuan Wang, 2018. "Optimal Battery Recycling Strategy for Electric Vehicle under Government Subsidy in China," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    4. Judit Oláh & Nicodemus Kitukutha & Hossam Haddad & Miklós Pakurár & Domicián Máté & József Popp, 2018. "Achieving Sustainable E-Commerce in Environmental, Social and Economic Dimensions by Taking Possible Trade-Offs," Sustainability, MDPI, vol. 11(1), pages 1-22, December.
    5. Liang Shen & Xiaodi Wang & Qinqin Liu & Yuyan Wang & Lingxue Lv & Rongyun Tang, 2021. "Carbon Trading Mechanism, Low-Carbon E-Commerce Supply Chain and Sustainable Development," Mathematics, MDPI, vol. 9(15), pages 1-26, July.
    6. Hanbo Wu & Yaxin Sun & Yutong Su & Ming Chen & Hongxia Zhao & Qi Li, 2022. "Which Is the Best Supply Chain Policy: Carbon Tax, or a Low-Carbon Subsidy?," Sustainability, MDPI, vol. 14(10), pages 1-20, May.
    7. Shuiwang Zhang & Qianlan Ding & Jingcheng Ding, 2023. "Return Strategy of E-Commerce Platform Based on Green and Sustainable Development," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    8. Adriana Dima & Elena Radu & Ecaterina Milica Dobrota & Adrian Otoiu & Alina Florentina Saracu, 2023. "Sustainable Development of E-commerce in the Post-COVID Times: A Mixed-Methods Analysis of Pestle Factors," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(S17), pages 1095-1095, November.
    9. Sadok Turki & Nidhal Rezg, 2018. "Impact of the Quality of Returned-Used Products on the Optimal Design of a Manufacturing/Remanufacturing System under Carbon Emissions Constraints," Sustainability, MDPI, vol. 10(9), pages 1-21, September.

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