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Weather rebate contracts for different risk attitudes of supply chain members

Author

Listed:
  • Sarkar, P.
  • Wahab, M.I.M.
  • Fang, L.

Abstract

Firms that deal with weather-sensitive products are often exposed to weather risk. How a weather rebate contract can be implemented to improve the performance of a supplier-retailer supply chain is investigated. The supplier offers a weather rebate to the retailer to compensate for the loss of sales due to weather risk. Depending on certain weather conditions, the retailer receives the rebate if it orders beyond a predefined ordering quantity. Depending on its risk attitude, the supplier uses weather derivatives to minimize the downside risk. The performance of weather rebate contracts is analyzed for three cases: risk-neutral supplier and risk-averse retailer, risk-averse supplier and risk-neutral retailer, and risk-averse supplier and risk-averse retailer. Conditional Value at Risk (CVaR) is used as the risk measure. The supply chain coordination under weather risk is investigated, and the specific conditions of a weather rebate contract leading to a Pareto-improving solution for both parties are obtained. To the best of the authors’ knowledge, this is the first study that investigates the weather rebate contract incorporating the risk attitude of the firms using a cooling degree days (CDD)/heating degree days (HDD)-based rebate structure. A comparative analysis between the weather rebate and wholesale price contracts is carried out based on the actual temperature and demand data. The results show that the weather rebate contract outperforms the regular wholesale price contract in all three cases. The study also demonstrates how to use weather derivatives to improve the performance of a supply chain dealing with weather-sensitive products.

Suggested Citation

  • Sarkar, P. & Wahab, M.I.M. & Fang, L., 2023. "Weather rebate contracts for different risk attitudes of supply chain members," European Journal of Operational Research, Elsevier, vol. 311(1), pages 139-153.
  • Handle: RePEc:eee:ejores:v:311:y:2023:i:1:p:139-153
    DOI: 10.1016/j.ejor.2023.04.045
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    References listed on IDEAS

    as
    1. Lei Xie & Junhai Ma & Mark Goh, 2021. "Supply chain coordination in the presence of uncertain yield and demand," International Journal of Production Research, Taylor & Francis Journals, vol. 59(14), pages 4342-4358, July.
    2. Hu, Benyong & Meng, Chao & Xu, Dong & Son, Young-Jun, 2016. "Three-echelon supply chain coordination with a loss-averse retailer and revenue sharing contracts," International Journal of Production Economics, Elsevier, vol. 179(C), pages 192-202.
    3. Sammi Y. Tang & Panos Kouvelis, 2014. "Pay-Back-Revenue-Sharing Contract in Coordinating Supply Chains with Random Yield," Production and Operations Management, Production and Operations Management Society, vol. 23(12), pages 2089-2102, December.
    4. Anderson, Edward & Monjardino, Marta, 2019. "Contract design in agriculture supply chains with random yield," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1072-1082.
    5. Saha, Subrata, 2013. "Supply chain coordination through rebate induced contracts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 120-137.
    6. Caliskan Demirag, Ozgun, 2013. "Performance of weather-conditional rebates under different risk preferences," Omega, Elsevier, vol. 41(6), pages 1053-1067.
    7. Tian, Xin & Cao, Shasha & Song, Yan, 2021. "The impact of weather on consumer behavior and retail performance: Evidence from a convenience store chain in China," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    8. Martin A. Lariviere & Evan L. Porteus, 2001. "Selling to the Newsvendor: An Analysis of Price-Only Contracts," Manufacturing & Service Operations Management, INFORMS, vol. 3(4), pages 293-305, May.
    9. Chen, Jing & Bell, Peter C., 2011. "Coordinating a decentralized supply chain with customer returns and price-dependent stochastic demand using a buyback policy," European Journal of Operational Research, Elsevier, vol. 212(2), pages 293-300, July.
    10. Zhao, Tianyi & Xu, Xiaoping & Chen, Ya & Liang, Liang & Yu, Yugang & Wang, Ke, 2020. "Coordination of a fashion supply chain with demand disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    11. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    12. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    13. Å tulec, Ivana & Petljak, Kristina & Naletina, Dora, 2019. "Weather impact on retail sales: How can weather derivatives help with adverse weather deviations?," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 1-10.
    14. Acerbi, Carlo & Tasche, Dirk, 2002. "On the coherence of expected shortfall," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1487-1503, July.
    15. Xin Chen & Stephen Shum & David Simchi-Levi, 2014. "Stable and Coordinating Contracts for a Supply Chain with Multiple Risk-Averse Suppliers," Production and Operations Management, Production and Operations Management Society, vol. 23(3), pages 379-392, March.
    16. Lei Yang & Gangshu (George) Cai & Jian Chen, 2018. "Push, Pull, and Supply Chain Risk‐Averse Attitude," Production and Operations Management, Production and Operations Management Society, vol. 27(8), pages 1534-1552, August.
    17. William Ho & Tian Zheng & Hakan Yildiz & Srinivas Talluri, 2015. "Supply chain risk management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 5031-5069, August.
    18. Adhikari, Arnab & Bisi, Arnab & Avittathur, Balram, 2020. "Coordination mechanism, risk sharing, and risk aversion in a five-level textile supply chain under demand and supply uncertainty," European Journal of Operational Research, Elsevier, vol. 282(1), pages 93-107.
    19. Alexander, S. & Coleman, T.F. & Li, Y., 2006. "Minimizing CVaR and VaR for a portfolio of derivatives," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 583-605, February.
    20. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    21. Choi, Tsan-Ming & Li, Duan & Yan, Houmin & Chiu, Chun-Hung, 2008. "Channel coordination in supply chains with agents having mean-variance objectives," Omega, Elsevier, vol. 36(4), pages 565-576, August.
    22. Patrick L. Brockett & Mulong Wang & Chuanhou Yang, 2005. "Weather Derivatives and Weather Risk Management," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 8(1), pages 127-140, March.
    23. Frank Youhua Chen & Candace Arai Yano, 2010. "Improving Supply Chain Performance and Managing Risk Under Weather-Related Demand Uncertainty," Management Science, INFORMS, vol. 56(8), pages 1380-1397, August.
    24. Xue, Weili & Ma, Lijun & Shen, Houcai, 2015. "Optimal inventory and hedging decisions with CVaR consideration," International Journal of Production Economics, Elsevier, vol. 162(C), pages 70-82.
    25. Vishal Gaur & Sridhar Seshadri, 2005. "Hedging Inventory Risk Through Market Instruments," Manufacturing & Service Operations Management, INFORMS, vol. 7(2), pages 103-120, April.
    26. Sungyong Choi & Andrzej Ruszczyński & Yao Zhao, 2011. "A Multiproduct Risk-Averse Newsvendor with Law-Invariant Coherent Measures of Risk," Operations Research, INFORMS, vol. 59(2), pages 346-364, April.
    27. Qing Ding & Lingxiu Dong & Panos Kouvelis, 2007. "On the Integration of Production and Financial Hedging Decisions in Global Markets," Operations Research, INFORMS, vol. 55(3), pages 470-489, June.
    28. Miia Parnaudeau & Jean-Louis Bertrand, 2018. "The contribution of weather variability to economic sectors," Applied Economics, Taylor & Francis Journals, vol. 50(43), pages 4632-4649, September.
    29. Badorf, Florian & Hoberg, Kai, 2020. "The impact of daily weather on retail sales: An empirical study in brick-and-mortar stores," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    30. Elias, R.S. & Wahab, M.I.M. & Fang, L., 2014. "A comparison of regime-switching temperature modeling approaches for applications in weather derivatives," European Journal of Operational Research, Elsevier, vol. 232(3), pages 549-560.
    31. Biswas, Indranil & Raj, Alok & Srivastava, Samir K., 2018. "Supply chain channel coordination with triple bottom line approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 213-226.
    32. Xin Chen & Melvyn Sim & David Simchi-Levi & Peng Sun, 2007. "Risk Aversion in Inventory Management," Operations Research, INFORMS, vol. 55(5), pages 828-842, October.
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