IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v311y2023i1p139-153.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221723003430
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2023.04.045?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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).
    2. 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.
    3. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    4. 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.
    5. Acerbi, Carlo & Tasche, Dirk, 2002. "On the coherence of expected shortfall," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1487-1503, July.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. Caliskan Demirag, Ozgun, 2013. "Performance of weather-conditional rebates under different risk preferences," Omega, Elsevier, vol. 41(6), pages 1053-1067.
    22. Vishal Gaur & Sridhar Seshadri, 2005. "Hedging Inventory Risk Through Market Instruments," Manufacturing & Service Operations Management, INFORMS, vol. 7(2), pages 103-120, April.
    23. 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.
    24. 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.
    25. 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.
    26. 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).
    27. 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.
    28. 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).
    29. 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.
    30. 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.
    31. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sarkar, P. & Wahab, M.I.M. & Fang, L., 2024. "Weather rebate sharing contract for enhancing supply chain performance," International Journal of Production Economics, Elsevier, vol. 272(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sarkar, P. & Wahab, M.I.M. & Fang, L., 2024. "Weather rebate sharing contract for enhancing supply chain performance," International Journal of Production Economics, Elsevier, vol. 272(C).
    2. Jammernegg, Werner & Kischka, Peter & Silbermayr, Lena, 2024. "Risk preferences, newsvendor orders and supply chain coordination using the Mean-CVaR model," International Journal of Production Economics, Elsevier, vol. 270(C).
    3. Zhao, Lima & Huchzermeier, Arnd, 2017. "Integrated operational and financial hedging with capacity reshoring," European Journal of Operational Research, Elsevier, vol. 260(2), pages 557-570.
    4. Jian Ni & Lap Keung Chu & Shoude Li, 2018. "Financial hedging and competitive strategy for value-maximizing firms under quantity competition," Annals of Operations Research, Springer, vol. 264(1), pages 391-407, May.
    5. Poormoaied, Saeed & Atan, Zümbül, 2020. "A multi-attribute utility theory approach to ordering policy for perishable items," International Journal of Production Economics, Elsevier, vol. 225(C).
    6. Yang, Honglin & Zhuo, Wenyan & Shao, Lusheng & Talluri, Srinivas, 2021. "Mean-variance analysis of wholesale price contracts with a capital-constrained retailer: Trade credit financing vs. bank credit financing," European Journal of Operational Research, Elsevier, vol. 294(2), pages 525-542.
    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. 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.
    9. Pan, Wenting & So, Kut C. & Xiao, Guang, 2022. "Benefits of backup sourcing for components in assembly systems under supply uncertainty," European Journal of Operational Research, Elsevier, vol. 302(1), pages 158-171.
    10. Alavi Fard, Farzad & He, Jian & Ivanov, Dmitry & Jie, Ferry, 2019. "A utility adjusted newsvendor model with stochastic demand," International Journal of Production Economics, Elsevier, vol. 211(C), pages 154-165.
    11. Kim, Kyoung-Kuk & Park, Kun Soo, 2014. "Transferring and sharing exchange-rate risk in a risk-averse supply chain of a multinational firm," European Journal of Operational Research, Elsevier, vol. 237(2), pages 634-648.
    12. 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).
    13. Chaolin Yang & Zhenyu Hu & Sean X. Zhou, 2021. "Multilocation Newsvendor Problem: Centralization and Inventory Pooling," Management Science, INFORMS, vol. 67(1), pages 185-200, January.
    14. Zhao, Lima & Huchzermeier, Arnd, 2015. "Operations–finance interface models: A literature review and framework," European Journal of Operational Research, Elsevier, vol. 244(3), pages 905-917.
    15. Sayın, F. & Karaesmen, F. & Özekici, S., 2014. "Newsvendor model with random supply and financial hedging: Utility-based approach," International Journal of Production Economics, Elsevier, vol. 154(C), pages 178-189.
    16. Chen, Jianxin & Hou, Rui & Zhang, Tonghua & Zhou, Yongwu, 2024. "Newsvendor model for a dyadic supply chain with push-pull strategy under shareholding and risk aversion," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 221(C), pages 645-662.
    17. Stanko Dimitrov & Régis Y. Chenavaz & Octavio Escobar, 2023. "Accounting for Climate When Determining the Impact of Weather on Retail Sales," Businesses, MDPI, vol. 3(3), pages 1-18, September.
    18. 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.
    19. Özler, Aysun & Tan, BarIs & Karaesmen, Fikri, 2009. "Multi-product newsvendor problem with value-at-risk considerations," International Journal of Production Economics, Elsevier, vol. 117(2), pages 244-255, February.
    20. Bedi, Prateek & Nashier, Tripti, 2020. "On the investment credentials of Bitcoin: A cross-currency perspective," Research in International Business and Finance, Elsevier, vol. 51(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:311:y:2023:i:1:p:139-153. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.