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Two-Stage Supply-Chain Optimization Considering Consumer Low-Carbon Awareness under Cap-and-Trade Regulation

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  • Zhimiao Tao

    (Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu 610064, China
    Low Carbon Technology and Economy Research Center, Sichuan University, Chengdu 610064, China)

Abstract

Cap-and-trade regulation is an effective mechanism to control carbon emissions. The optimization problem for a two-stage supply chain consisting of a manufacturer and a retailer under cap-and-trade regulation was investigated in this paper. Consumers’ low-carbon awareness level was considered in the decision models. Optimal decision policies, corresponding emissions, and profits were calculated for decentralized and centralized decision-making modes. Under a decentralized mode, the two-stage supply-chain optimization problem was formulated as a Stackelberg game model, where the manufacturer and retailer were the leader and follower, respectively. The manufacturer decides the emission-reduction levels per product unit and the retailer decides the retail price per unit product. The optimal decisions are derived using the reverse-solution method. By contrast, the two-stage supply-chain optimization problem under a decentralized mode was formulated as a single-level optimization model. The nonlinear model is handled by KKT optimality conditions. The influence of the regulation parameters (caps and carbon prices) and consumers’ low-carbon awareness on the optimal decision policies, the corresponding emissions, and profits is discussed in detail. A comparison between the two modes implies that the decentralized mode is dominated by the centralized mode in terms of profit and emissions. In order to provoke the decision makers under decentralized modes to make the decisions under the decentralized mode, a profit-sharing contract was designed. This study shows that higher consumer low-carbon awareness and carbon prices can improve the manufacturer-decision flexibility when there exists a profit-sharing contract. Finally, numerical experiments confirmed the analytical results.

Suggested Citation

  • Zhimiao Tao, 2019. "Two-Stage Supply-Chain Optimization Considering Consumer Low-Carbon Awareness under Cap-and-Trade Regulation," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5727-:d:277193
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    References listed on IDEAS

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    1. Hua, Guowei & Cheng, T.C.E. & Wang, Shouyang, 2011. "Managing carbon footprints in inventory management," International Journal of Production Economics, Elsevier, vol. 132(2), pages 178-185, August.
    2. Matthew Ranson & Robert N. Stavins, 2016. "Linkage of greenhouse gas emissions trading systems: learning from experience," Climate Policy, Taylor & Francis Journals, vol. 16(3), pages 284-300, April.
    3. Xu, Xiaoping & Zhang, Wei & He, Ping & Xu, Xiaoyan, 2017. "Production and pricing problems in make-to-order supply chain with cap-and-trade regulation," Omega, Elsevier, vol. 66(PB), pages 248-257.
    4. Liu, Zugang (Leo) & Anderson, Trisha D. & Cruz, Jose M., 2012. "Consumer environmental awareness and competition in two-stage supply chains," European Journal of Operational Research, Elsevier, vol. 218(3), pages 602-613.
    5. Springer, Urs, 2003. "The market for tradable GHG permits under the Kyoto Protocol: a survey of model studies," Energy Economics, Elsevier, vol. 25(5), pages 527-551, September.
    6. Riahi, Keywan & Rubin, Edward S. & Taylor, Margaret R. & Schrattenholzer, Leo & Hounshell, David, 2004. "Technological learning for carbon capture and sequestration technologies," Energy Economics, Elsevier, vol. 26(4), pages 539-564, July.
    7. Zhimiao Tao & Jiuping Xu, 2019. "Carbon-Regulated EOQ Models with Consumers’ Low-Carbon Awareness," Sustainability, MDPI, vol. 11(4), pages 1-16, February.
    8. Akira Yakita, 2009. "Technology Choice And Environmental Awareness In A Trade And Environment Context," Australian Economic Papers, Wiley Blackwell, vol. 48(3), pages 270-279, September.
    9. Zhang, Bin & Xu, Liang, 2013. "Multi-item production planning with carbon cap and trade mechanism," International Journal of Production Economics, Elsevier, vol. 144(1), pages 118-127.
    10. Shammin, Md Rumi & Bullard, Clark W., 2009. "Impact of cap-and-trade policies for reducing greenhouse gas emissions on U.S. households," Ecological Economics, Elsevier, vol. 68(8-9), pages 2432-2438, June.
    11. Liu, Tiantian & Wang, Qunwei & Su, Bin, 2016. "A review of carbon labeling: Standards, implementation, and impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 68-79.
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    Cited by:

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    3. Peng Xing & Xiangru Zhao & Mingxing Wang, 2022. "The Optimal Combination between Recycling Channel and Logistics Service Outsourcing in a Closed-Loop Supply Chain Considering Consumers’ Environmental Awareness," Sustainability, MDPI, vol. 14(24), pages 1-25, December.

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