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The impact of carbon emission costs on manufacturers' production and location decision

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  • Wu, Peng
  • Jin, Ying
  • Shi, Yongjiang
  • Shyu, Hawfeng

Abstract

This paper investigates how emerging carbon emission costs may affect the joint production and location decisions for a manufacturer across the world's regions. Specifically, we develop a new theoretical model which explicitly links product demand, production costs and carbon emission levels to location decisions, and investigate the manufacturer's optimal decisions between two distinct regions. The results show that the influence of carbon emissions on manufacturers' decisions can vary greatly under different circumstances: both off-shoring and near-shoring are possible under rising carbon emission costs; manufacturers with high or low demand have different tolerance levels to the rising carbon emission costs when considering an alternative location; trade costs can change the pattern of relocation. To gain policy insights for those who pursue reducing carbon emissions, different product examples are used to calculate the critical carbon price which triggers different location choices. The results suggest that if production technology is stable, raising carbon cost itself has only limited effects on reducing total carbon emissions, especially for high-value-low-emission industries. The location shift, which is more sensitive to changes in variable carbon emissions, may lead to a significant emission reduction when completed. Additional pricing decision from the manufacturer shows no significant effect on the location decisions; however, if demand is linked directly to carbon emission footprint of the product, then it is more hopeful that a raised carbon price would reduce the carbon emissions significantly through relocation.

Suggested Citation

  • Wu, Peng & Jin, Ying & Shi, Yongjiang & Shyu, Hawfeng, 2017. "The impact of carbon emission costs on manufacturers' production and location decision," International Journal of Production Economics, Elsevier, vol. 193(C), pages 193-206.
  • Handle: RePEc:eee:proeco:v:193:y:2017:i:c:p:193-206
    DOI: 10.1016/j.ijpe.2017.07.005
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    2. Dawei Huang & Gang Chen, 2022. "Can the Carbon Emissions Trading System Improve the Green Total Factor Productivity of the Pilot Cities?—A Spatial Difference-in-Differences Econometric Analysis in China," IJERPH, MDPI, vol. 19(3), pages 1-18, January.
    3. Gaigné, C. & Hovelaque, V. & Mechouar, Y., 2020. "Carbon tax and sustainable facility location: The role of production technology," International Journal of Production Economics, Elsevier, vol. 224(C).
    4. Fernando Merino & Cristina Di Stefano & Luciano Fratocchi, 2021. "Back-shoring vs near-shoring: a comparative exploratory study in the footwear industry," Operations Management Research, Springer, vol. 14(1), pages 17-37, June.
    5. Soumen Kumar Das & Magfura Pervin & Sankar Kumar Roy & Gerhard Wilhelm Weber, 2023. "Multi-objective solid transportation-location problem with variable carbon emission in inventory management: a hybrid approach," Annals of Operations Research, Springer, vol. 324(1), pages 283-309, May.
    6. Lee, Seungrae & Park, Seung Jae, 2020. "Who should lead carbon emissions reductions? Upstream vs. downstream firms," International Journal of Production Economics, Elsevier, vol. 230(C).
    7. Fei Zou & Yanju Zhou & Caihua Yuan, 2020. "The Impact of Retailers’ Low-Carbon Investment on the Supply Chain under Carbon Tax and Carbon Trading Policies," Sustainability, MDPI, vol. 12(9), pages 1-27, April.
    8. Li Liu & Zhe Wang & Jiangtao Xu & Zaisheng Zhang, 2023. "Green baton: how government interventions advance green technological innovation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11121-11152, October.
    9. Darvish, Maryam & Archetti, Claudia & Coelho, Leandro C., 2019. "Trade-offs between environmental and economic performance in production and inventory-routing problems," International Journal of Production Economics, Elsevier, vol. 217(C), pages 269-280.
    10. Y. Mechouar & Vincent Hovelaque & Carl Gaigne, 2022. "Effect of raw material substitution on the facility location decision under a carbon tax policy," Post-Print halshs-03517835, HAL.
    11. Wenxue Ran & Teng Xu, 2023. "Low-Carbon Supply Chain Coordination Based on Carbon Tax and Government Subsidy Policy," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    12. Wang, Yuyan & Yu, Zhaoqing & Jin, Mingzhou & Mao, Jiafu, 2021. "Decisions and coordination of retailer-led low-carbon supply chain under altruistic preference," European Journal of Operational Research, Elsevier, vol. 293(3), pages 910-925.
    13. Ma, Shigui & He, Yong & Gu, Ran & Li, Shanshan, 2021. "Sustainable supply chain management considering technology investments and government intervention," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    14. Xiao Zhou & Xiancong Wu, 2023. "Decisions for a Retailer-Led Low-Carbon Supply Chain Considering Altruistic Preference under Carbon Quota Policy," Mathematics, MDPI, vol. 11(4), pages 1-23, February.
    15. Youcef MECHOUAR & V Hovelaque & C Gaigné, 2021. "Effect of raw material substitution on the facility location decision under a carbon tax policy," Post-Print hal-04155066, HAL.

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