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Managing Risk Aversion for Low-Carbon Supply Chains with Emission Abatement Outsourcing

Author

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  • Qinpeng Wang

    (School of Management Science and Engineering, Hebei University of Economics and Business, Shijiazhuang 050061, China)

  • Longfei He

    (College of Management and Economics, Tianjin University, Tianjin 300072, China)

Abstract

Reducing carbon emissions, including emission abatement outsourcing at the supply-chain level, is becoming a significant but challenging problem in practice. Confronting this challenge, we therefore break down the practice to focus on a low-carbon supply chain consisting of one supplier, one manufacturer and one third-party emission-reducing contractor. The contractor offers a carbon reduction service to the manufacturer. In view of the increasing proportion of Greenhouse Gases (GHG) emissions and absence of carbon reduction policies in developing countries, we adopt the prospect of consumers’ low-carbon preferences to capture the demand sensitivity on carbon emission. By exploiting the Mean-Variance (MV) model, we develop a supply chain game model considering risk aversion. Comparing the supply chain performances of the cases under risk neutrality and risk aversion, we investigate the impact of the risk aversion of the supplier and the manufacturer on the low-carbon supply chain performances, respectively. We show that the risk aversion of chain members will not influence the relationship underlain by the profit-sharing contract between the manufacturer and contractor, whereas they may extend the supplier’s concerning range. Although the manufacturer’s risk aversion has a positive impact on the wholesale price, interestingly, the supplier’s impact on the wholesale price is negative. Furthermore, we propose a contract to coordinate the risk-averse low-carbon supply chain by tuning the aversion levels of the supplier and the manufacturer, respectively. Through numerical study, we draw on managerial insights for industrial practitioners to adopt a low carbon strategy potentially by managing the risk attitudes along the supply chain channel.

Suggested Citation

  • Qinpeng Wang & Longfei He, 2018. "Managing Risk Aversion for Low-Carbon Supply Chains with Emission Abatement Outsourcing," IJERPH, MDPI, vol. 15(2), pages 1-20, February.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:2:p:367-:d:132485
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    References listed on IDEAS

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    1. Anna Nagurney & Dong Li, 2015. "A supply chain network game theory model with product differentiation, outsourcing of production and distribution, and quality and price competition," Annals of Operations Research, Springer, vol. 226(1), pages 479-503, March.
    2. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    3. Joseph E. Aldy & Matthew J. Kotchen & Anthony A. Leiserowitz, 2012. "Willingness to pay and political support for a US national clean energy standard," Nature Climate Change, Nature, vol. 2(8), pages 596-599, August.
    4. Perdikaki, Olga & Kostamis, Dimitris & Swaminathan, Jayashankar M., 2016. "Timing of service investments for retailers under competition and demand uncertainty," European Journal of Operational Research, Elsevier, vol. 254(1), pages 188-201.
    5. Balaman, Şebnem Yılmaz & Selim, Hasan, 2014. "A network design model for biomass to energy supply chains with anaerobic digestion systems," Applied Energy, Elsevier, vol. 130(C), pages 289-304.
    6. Bazan, Ehab & Jaber, Mohamad Y. & Zanoni, Simone, 2017. "Carbon emissions and energy effects on a two-level manufacturer-retailer closed-loop supply chain model with remanufacturing subject to different coordination mechanisms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 394-408.
    7. Chun-Hung Chiu & Tsan-Ming Choi, 2016. "Supply chain risk analysis with mean-variance models: a technical review," Annals of Operations Research, Springer, vol. 240(2), pages 489-507, May.
    8. Xia, Yan & Fan, Ying & Yang, Cuihong, 2015. "Assessing the impact of foreign content in China’s exports on the carbon outsourcing hypothesis," Applied Energy, Elsevier, vol. 150(C), pages 296-307.
    9. Xiao, Tiaojun & Yang, Danqin, 2008. "Price and service competition of supply chains with risk-averse retailers under demand uncertainty," International Journal of Production Economics, Elsevier, vol. 114(1), pages 187-200, July.
    10. Junsong Bian & Kin Keung Lai & Zhongsheng Hua, 2017. "Service outsourcing under different supply chain power structures," Annals of Operations Research, Springer, vol. 248(1), pages 123-142, January.
    11. Rodrigo Pascual & Gabriel Santelices & Haitao Liao & Sergio Maturana, 2016. "Channel coordination on fixed-term maintenance outsourcing contracts," IISE Transactions, Taylor & Francis Journals, vol. 48(7), pages 651-660, July.
    12. Aldy, Joseph Edgar & Leiserowitz, Anthony A & Kotchen, Matthew J, 2012. "Willingness to Pay and Political Support for a U.S. National Clean Energy Standard," Scholarly Articles 8832942, Harvard Kennedy School of Government.
    13. Serel, Dogan A. & Dada, Maqbool & Moskowitz, Herbert, 2001. "Sourcing decisions with capacity reservation contracts," European Journal of Operational Research, Elsevier, vol. 131(3), pages 635-648, June.
    14. Ray, Pritee & Jenamani, Mamata, 2016. "Mean-variance analysis of sourcing decision under disruption risk," European Journal of Operational Research, Elsevier, vol. 250(2), pages 679-689.
    15. K. Sridhar Moorthy, 1988. "Product and Price Competition in a Duopoly," Marketing Science, INFORMS, vol. 7(2), pages 141-168.
    16. Grootveld, Henk & Hallerbach, Winfried, 1999. "Variance vs downside risk: Is there really that much difference?," European Journal of Operational Research, Elsevier, vol. 114(2), pages 304-319, April.
    17. Marcus Brandenburg & Tobias Rebs, 2015. "Sustainable supply chain management: a modeling perspective," Annals of Operations Research, Springer, vol. 229(1), pages 213-252, June.
    18. Gökçe Esenduran & Eda Kemahlıoğlu-Ziya, 2015. "A Comparison of Product Take-Back Compliance Schemes," Production and Operations Management, Production and Operations Management Society, vol. 24(1), pages 71-88, January.
    19. John Buzacott & Houmin Yan & Hanqin Zhang, 2011. "Risk analysis of commitment–option contracts with forecast updates," IISE Transactions, Taylor & Francis Journals, vol. 43(6), pages 415-431.
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    Cited by:

    1. Tingqiang Chen & Ruirui Zhu & Lei Wang, 2024. "Risk Transmission in Low-Carbon Supply Chains Considering Corporate Risk Aversion," Mathematics, MDPI, vol. 12(13), pages 1-29, June.
    2. Fang Dong & Chengdong Shi & Weitong Yu, 2022. "Coordinated Decision-Making in Embedded Supply Chain from a Sustainable Development Perspective," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    3. Bian Liang & Dapeng Yang & Xinghong Qin & Teresa Tinta, 2019. "A Risk-Averse Shelter Location and Evacuation Routing Assignment Problem in an Uncertain Environment," IJERPH, MDPI, vol. 16(20), pages 1-28, October.
    4. Hao Zou & Jin Qin & Xiaofeng Long, 2022. "Coordination Decisions for a Low-Carbon Supply Chain Considering Risk Aversion under Carbon Quota Policy," IJERPH, MDPI, vol. 19(5), pages 1-24, February.

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