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Irrational Carbon Emission Transfers in Supply Chains under Environmental Regulation: Identification and Optimization

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  • Licheng Sun

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

  • Sui Fang

    (School of Management, Jiangsu University, Zhenjiang 212013, China)

Abstract

Irrational transfer of carbon emissions in the supply chain refers to the phenomenon that after the transfer of carbon emissions occurs, the profits of any party in the supply chain are reduced compared to before the transfer. Identifying and optimizing irrational transfers of carbon emissions in supply chains under environmental regulation are the bases for establishing green supply chains. By constructing a manufacturer-led Steinberg model, we obtained identification intervals for such transfers, then analyzed the influences of the changes in various coefficients. Finally, we designed a carbon emission transfer cost-sharing contract to obtain optimized intervals for shifts from irrational to rational transfers and used a Nash bargaining model to obtain the optimal share rates within the intervals. The results indicated irrational transfer intervals existed in supply chains. When a supplier has a low ability to receive transfers, the range of the irrational transfer intervals increases as the supplier’s capacity coefficient for receiving carbon emission transfers, the transfer investment cost coefficient, the emission reduction investment cost coefficient, and the consumer’s low-carbon awareness intensity increase. Otherwise, the range decreases as these coefficients increase when the supplier’s ability to receive transfers has a large coefficient. In this range, a cost-sharing contract can effectively shift the transfers from irrational to rational and an optimal cost-sharing ratio can help the transfers reach the optimal level, which is beneficial in terms of constructing a green supply chain.

Suggested Citation

  • Licheng Sun & Sui Fang, 2022. "Irrational Carbon Emission Transfers in Supply Chains under Environmental Regulation: Identification and Optimization," Sustainability, MDPI, vol. 14(3), pages 1-20, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1099-:d:727805
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    References listed on IDEAS

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    2. Bai, Qingguo & Gong, Yeming (Yale) & Jin, Mingzhou & Xu, Xianhao, 2019. "Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory," International Journal of Production Economics, Elsevier, vol. 208(C), pages 83-99.
    3. Qingguo Bai & Yeming Gong & Mingzhou Jin & Xianhao Xu, 2019. "Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory," Post-Print hal-02312264, HAL.
    4. Mokhtar, Ahmad Rais Mohamad & Genovese, Andrea & Brint, Andrew & Kumar, Niraj, 2019. "Supply chain leadership: A systematic literature review and a research agenda," International Journal of Production Economics, Elsevier, vol. 216(C), pages 255-273.
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    Cited by:

    1. Eryu Zhang & Xiaoyu He & Peng Xiao, 2022. "Does Smart City Construction Decrease Urban Carbon Emission Intensity? Evidence from a Difference-in-Difference Estimation in China," Sustainability, MDPI, vol. 14(23), pages 1-16, December.
    2. Biying Zhao & Licheng Sun & Siying Gao, 2022. "Effects of Government Regulations on Under-Reporting of Carbon Emission Transfers by Enterprises in Supply Chains," Sustainability, MDPI, vol. 14(15), pages 1-24, July.

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