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Decision and Coordination in a Low-Carbon E-Supply Chain Considering the Manufacturer’s Carbon Emission Reduction Behavior

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  • Qiang Han

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China)

  • Yuyan Wang

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China)

Abstract

At present, online shopping is becoming increasingly popular. In particular, low-carbon products are becoming more favored as consumers’ low-carbon awareness increases. Manufacturers sell their low-carbon products through e-commerce platforms. Thus, the manufacturer and the e-commerce platform form a low-carbon e-supply chain system. The manufacturer makes products with carbon emission reduction efforts, while the e-commerce platform provides a sales service. In this paper, we described models for a decentralized decision mode and a centralized decision mode in the low-carbon e-supply chain, and compare the decision results. Our findings show that the centralized decision mode has a better performance than the decentralized one, the ability of the e-supply chain to respond to consumers’ preference for a low-carbon product has a direct effect on its operation, and the manufacturer’s carbon emission reduction behavior will be a potential source for enterprises to gain more revenue. Further, we designed a coordination contract for them that can be accepted by both sides in the decentralized decision mode. We find that if the e-commerce platform can share the carbon emission reduction costs of the manufacturer, the performance of the e-supply chain will be greatly improved. A practical case study and numerical examples validate our analysis.

Suggested Citation

  • Qiang Han & Yuyan Wang, 2018. "Decision and Coordination in a Low-Carbon E-Supply Chain Considering the Manufacturer’s Carbon Emission Reduction Behavior," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1686-:d:148410
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    2. George Yaw Obeng & Ebenezer Mensah & Richard Opoku, 2021. "Fabricators and End-Users of Single-Pot Biomass Stoves: Conceptualizing, Hypothesis and Performance Metrics for Developing Energy Sustainability Framework," Sustainability, MDPI, vol. 13(13), pages 1-19, June.
    3. Shengliang Zong & Chunyang Shen, 2023. "Decision-making and coordination in an e-commerce supply chain under channel selection," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 326-369, March.
    4. Chong Wu & Jiahua Gan & Zhuo Jiang & Anding Jiang & Wenlong Zheng, 2022. "Ecological Efficiency Evaluation, Spatial Difference, and Trend Analysis of Logistics Industry and Manufacturing Industry Linkage in the Northeast Old Industrial Base," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    5. Wensi Zhang & Jing Xiao & Lingfei Cai, 2020. "Joint Emission Reduction Strategy in Green Supply Chain under Environmental Regulation," Sustainability, MDPI, vol. 12(8), pages 1-24, April.
    6. Jian Xue & Ruifeng Gong & Laijun Zhao & Xiaoqing Ji & Yan Xu, 2019. "A Green Supply-Chain Decision Model for Energy-Saving Products That Accounts for Government Subsidies," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    7. Xianhong Xiang & Guoge Yang & Hui Sun, 2022. "The Impact of the Digital Economy on Low-Carbon, Inclusive Growth: Promoting or Restraining," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    8. Fayu Chen & Jinhao Liu & Xiaoyu Liu & Hua Zhang, 2023. "Static and Dynamic Evaluation of Financing Efficiency in Enterprises’ Low-Carbon Supply Chain: PCA–DEA–Malmquist Model Method," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    9. Jianfeng Liu & Liguo Zhou & Yuyan Wang, 2021. "Altruistic Preference Models of Low-Carbon E-Commerce Supply Chain," Mathematics, MDPI, vol. 9(14), pages 1-20, July.
    10. Li Li & Weimin Li, 2022. "The Promoting Effect of Green Technology Innovations on Sustainable Supply Chain Development: Evidence from China’s Transport Sector," Sustainability, MDPI, vol. 14(8), pages 1-16, April.

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