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Utilization of Free Trade Agreements to Minimize Costs and Carbon Emissions in the Global Supply Chain for Sustainable Logistics

Author

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  • Yuki Kinoshita

    (Department of Informatics, Faculty of Engineering, Kindai University, 1 Takaya Umenobe, Higashi-Hiroshima 739-2116, Japan)

  • Takaki Nagao

    (Department of Informatics, The University of Electro-Communications, 1-5-1 Chofugaoka, Tokyo 182-8585, Japan)

  • Hiromasa Ijuin

    (Department of Informatics, The University of Electro-Communications, 1-5-1 Chofugaoka, Tokyo 182-8585, Japan)

  • Keisuke Nagasawa

    (Graduate School of Advanced Science and Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima 739-8511, Japan)

  • Tetsuo Yamada

    (Department of Informatics, The University of Electro-Communications, 1-5-1 Chofugaoka, Tokyo 182-8585, Japan)

  • Surendra M. Gupta

    (Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA)

Abstract

Background : Since global warming is a crucial worldwide issue, carbon tax has been introduced in the global supply chain as an environmental regulation for the reduction of greenhouse gas (GHG) emissions. Costs, GHG emissions, and carbon tax prices differ in each country due to economic conditions, energy mixes, and government policies. Additionally, multiple countries have signed a Free Trade Agreement (FTA). While FTAs result in their economic benefit, they also increase the risk of carbon leakage, which increases GHG emissions in the global supply chain due to relocation production sites from a country with stricter emission constraints to others with laxer ones. Method : This study proposes a mathematical model for decision support to minimize total costs involving carbon taxes with FTAs. Results : Our model determines suppliers, factory locations, and the number of transported parts and products with costs, FTAs, carbon taxes, and material-based GHG emissions estimated using the Life Cycle Inventory (LCI) database. The FTA utilization on the global low-carbon supply chain is examined by comparing the constructed supply chains with and without FTAs, and by conducting sensitivity analysis of carbon tax prices. Conclusions : We found that FTAs would not cause carbon leakage directly and would be effective for reducing GHG emissions economically.

Suggested Citation

  • Yuki Kinoshita & Takaki Nagao & Hiromasa Ijuin & Keisuke Nagasawa & Tetsuo Yamada & Surendra M. Gupta, 2023. "Utilization of Free Trade Agreements to Minimize Costs and Carbon Emissions in the Global Supply Chain for Sustainable Logistics," Logistics, MDPI, vol. 7(2), pages 1-21, June.
    • Handle: RePEc:gam:jlogis:v:7:y:2023:i:2:p:32-:d:1161916
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    References listed on IDEAS

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    1. Benjamin Nitsche, 2020. "Decrypting the Belt and Road Initiative: Barriers and Development Paths for Global Logistics Networks," Sustainability, MDPI, vol. 12(21), pages 1-23, November.
    2. Tsai Chi Kuo & Yile Lee, 2019. "Using Pareto Optimization to Support Supply Chain Network Design within Environmental Footprint Impact Assessment," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    3. Tsiakis, Panagiotis & Papageorgiou, Lazaros G., 2008. "Optimal production allocation and distribution supply chain networks," International Journal of Production Economics, Elsevier, vol. 111(2), pages 468-483, February.
    4. Benjamin Nitsche, 2021. "Exploring the Potentials of Automation in Logistics and Supply Chain Management: Paving the Way for Autonomous Supply Chains," Logistics, MDPI, vol. 5(3), pages 1-9, August.
    5. Onat, Nuri Cihat & Kucukvar, Murat, 2020. "Carbon footprint of construction industry: A global review and supply chain analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    6. Rena Kondo & Yuki Kinoshita & Tetsuo Yamada, 2019. "Green Procurement Decisions with Carbon Leakage by Global Suppliers and Order Quantities under Different Carbon Tax," Sustainability, MDPI, vol. 11(13), pages 1-19, July.
    7. Waltho, Cynthia & Elhedhli, Samir & Gzara, Fatma, 2019. "Green supply chain network design: A review focused on policy adoption and emission quantification," International Journal of Production Economics, Elsevier, vol. 208(C), pages 305-318.
    8. Hasegawa, Shota & Kinoshita, Yuki & Yamada, Tetsuo & Bracke, Stefan, 2019. "Life cycle option selection of disassembly parts for material-based CO2 saving rate and recovery cost: Analysis of different market value and labor cost for reused parts in German and Japanese cases," International Journal of Production Economics, Elsevier, vol. 213(C), pages 229-242.
    9. Fahimnia, Behnam & Sarkis, Joseph & Choudhary, Alok & Eshragh, Ali, 2015. "Tactical supply chain planning under a carbon tax policy scheme: A case study," International Journal of Production Economics, Elsevier, vol. 164(C), pages 206-215.
    10. Zakeri, Atefe & Dehghanian, Farzad & Fahimnia, Behnam & Sarkis, Joseph, 2015. "Carbon pricing versus emissions trading: A supply chain planning perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 197-205.
    11. Vidal, Carlos J. & Goetschalckx, Marc, 2001. "A global supply chain model with transfer pricing and transportation cost allocation," European Journal of Operational Research, Elsevier, vol. 129(1), pages 134-158, February.
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