IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v268y2018i1d10.1007_s10479-017-2657-2.html
   My bibliography  Save this article

Carbon emission reduction and pricing policies of a supply chain considering reciprocal preferences in cap-and-trade system

Author

Listed:
  • Liangjie Xia

    (Tianjin University of Finance and Economics)

  • Tingting Guo

    (Tianjin University of Finance and Economics)

  • Juanjuan Qin

    (Tianjin University of Finance and Economics)

  • Xiaohang Yue

    (University of Wisconsin-Milwaukee)

  • Ning Zhu

    (Tianjin University)

Abstract

The traditional self-interest hypothesis is far from perfect. Social preference has a significant impact on every firm’s decision making. This paper incorporates reciprocal preferences and consumers’ low-carbon awareness (CLA) into the dyadic supply chain in which a single manufacturer plays a Stackelberg-like game with a single retailer. This research intends to investigate how reciprocity and CLA may affect the decisions and performances of the supply chain members and the system’s efficiency. In this study, the following two scenarios are discussed: (1) both the manufacturer and the retailer have no reciprocal preferences and (2) both of them have reciprocal preferences. We derive equilibriums under both scenarios and present a numerical analysis. We demonstrate that reciprocal preferences and CLA significantly affect the equilibrium and firms’ profits and utilities. First, the optimal retail price increases with CLA, while it decreases with the reciprocity of the retailer and the manufacturer; the optimal wholesale price increases with CLA and the retailer’s reciprocity, while it decreases with the manufacturer’s reciprocity. The optimal emission reduction level increases with CLA and the reciprocity of both the manufacturer and the retailer. Second, the optimal profits of the participants and the supply chain increase with CLA, the participants’ optimal profits are concave in their own reciprocity and increase with their co-operators’ reciprocity. Third, the participants’ optimal utilities increase with CLA and their reciprocity. Finally, the supply chain efficiency increases with the participants’ reciprocity, while the efficiency decreases with CLA.

Suggested Citation

  • Liangjie Xia & Tingting Guo & Juanjuan Qin & Xiaohang Yue & Ning Zhu, 2018. "Carbon emission reduction and pricing policies of a supply chain considering reciprocal preferences in cap-and-trade system," Annals of Operations Research, Springer, vol. 268(1), pages 149-175, September.
  • Handle: RePEc:spr:annopr:v:268:y:2018:i:1:d:10.1007_s10479-017-2657-2
    DOI: 10.1007/s10479-017-2657-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-017-2657-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-017-2657-2?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. Hua, Guowei & Cheng, T.C.E. & Wang, Shouyang, 2011. "Managing carbon footprints in inventory management," International Journal of Production Economics, Elsevier, vol. 132(2), pages 178-185, August.
    2. Harris, Irina & Naim, Mohamed & Palmer, Andrew & Potter, Andrew & Mumford, Christine, 2011. "Assessing the impact of cost optimization based on infrastructure modelling on CO2 emissions," International Journal of Production Economics, Elsevier, vol. 131(1), pages 313-321, May.
    3. Liu, Zugang (Leo) & Anderson, Trisha D. & Cruz, Jose M., 2012. "Consumer environmental awareness and competition in two-stage supply chains," European Journal of Operational Research, Elsevier, vol. 218(3), pages 602-613.
    4. Poyago-Theotoky, J.A., 2007. "The organization of R&D and environmental policy," Journal of Economic Behavior & Organization, Elsevier, vol. 62(1), pages 63-75, January.
    5. S. Du & F. Ma & Z. Fu & L. Zhu & J. Zhang, 2015. "Game-theoretic analysis for an emission-dependent supply chain in a ‘cap-and-trade’ system," Annals of Operations Research, Springer, vol. 228(1), pages 135-149, May.
    6. Maurice Schweitzer & Donald Gibson, 2008. "Fairness, Feelings, and Ethical Decision- Making: Consequences of Violating Community Standards of Fairness," Journal of Business Ethics, Springer, vol. 77(3), pages 287-301, February.
    7. Du, Shaofu & Nie, Tengfei & Chu, Chengbin & Yu, Yugang, 2014. "Reciprocal supply chain with intention," European Journal of Operational Research, Elsevier, vol. 239(2), pages 389-402.
    8. Manikas, Andrew S. & Kroes, James R., 2015. "A newsvendor approach to compliance and production under cap and trade emissions regulation," International Journal of Production Economics, Elsevier, vol. 159(C), pages 274-284.
    9. Ulph, Alistair, 1996. "Environmental Policy and International Trade when Governments and Producers Act Strategically," Journal of Environmental Economics and Management, Elsevier, vol. 30(3), pages 265-281, May.
    10. Anna Conte & Daniela T. Di Cagno & Emanuela Sciubba, 2015. "Behavioral Patterns In Social Networks," Economic Inquiry, Western Economic Association International, vol. 53(2), pages 1331-1349, April.
    11. Christoph H. Loch & Yaozhong Wu, 2008. "Social Preferences and Supply Chain Performance: An Experimental Study," Management Science, INFORMS, vol. 54(11), pages 1835-1849, November.
    12. Ahmad Rezaee & Farzad Dehghanian & Behnam Fahimnia & Benita Beamon, 2017. "Green supply chain network design with stochastic demand and carbon price," Annals of Operations Research, Springer, vol. 250(2), pages 463-485, March.
    13. Du, Shaofu & Zhu, Lili & Liang, Liang & Ma, Fang, 2013. "Emission-dependent supply chain and environment-policy-making in the ‘cap-and-trade’ system," Energy Policy, Elsevier, vol. 57(C), pages 61-67.
    14. Letmathe, Peter & Balakrishnan, Nagraj, 2005. "Environmental considerations on the optimal product mix," European Journal of Operational Research, Elsevier, vol. 167(2), pages 398-412, December.
    15. Gérard P. Cachon, 2014. "Retail Store Density and the Cost of Greenhouse Gas Emissions," Management Science, INFORMS, vol. 60(8), pages 1907-1925, August.
    16. Roy Jones & Haim Mendelson, 2011. "Information Goods vs. Industrial Goods: Cost Structure and Competition," Management Science, INFORMS, vol. 57(1), pages 164-176, January.
    17. Chaabane, A. & Ramudhin, A. & Paquet, M., 2012. "Design of sustainable supply chains under the emission trading scheme," International Journal of Production Economics, Elsevier, vol. 135(1), pages 37-49.
    18. Ayşegül Toptal & Bilgesu Çetinkaya, 2017. "How supply chain coordination affects the environment: a carbon footprint perspective," Annals of Operations Research, Springer, vol. 250(2), pages 487-519, March.
    19. Colin F. Camerer & Richard H. Thaler, 1995. "Anomalies: Ultimatums, Dictators and Manners," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 209-219, Spring.
    20. Plambeck, Erica L., 2012. "Reducing greenhouse gas emissions through operations and supply chain management," Energy Economics, Elsevier, vol. 34(S1), pages 64-74.
    Full references (including those not matched with items on IDEAS)

    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. Juanjuan Qin & Liguo Ren & Liangjie Xia, 2017. "Carbon Emission Reduction and Pricing Strategies of Supply Chain under Various Demand Forecasting Scenarios," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-27, February.
    2. Zhitao Xu & Adel Elomri & Shaligram Pokharel & Fatih Mutlu, 2019. "The Design of Green Supply Chains under Carbon Policies: A Literature Review of Quantitative Models," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    3. Longfei He & Daozhi Zhao & Liangjie Xia, 2015. "Game Theoretic Analysis of Carbon Emission Abatement in Fashion Supply Chains Considering Vertical Incentives and Channel Structures," Sustainability, MDPI, vol. 7(4), pages 1-30, April.
    4. Jinpyo Lee & Mi Lim Lee & Minjae Park, 2018. "A Newsboy Model with Quick Response under Sustainable Carbon Cap-N-Trade," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    5. Meng, Xiaoge & Yao, Zhong & Nie, Jiajia & Zhao, Yingxue & Li, Zenglu, 2018. "Low-carbon product selection with carbon tax and competition: Effects of the power structure," International Journal of Production Economics, Elsevier, vol. 200(C), pages 224-230.
    6. Qiang Du & Jiajie Zhou, 2022. "Evolution of Low Carbon Supply Chain Research: A Systematic Bibliometric Analysis," IJERPH, MDPI, vol. 19(23), pages 1-20, November.
    7. Longfei He & Chenglin Hu & Daozhi Zhao & Haili Lu & Xiaoxi Fu & Yiyu Li, 2016. "Carbon emission mitigation through regulatory policies and operations adaptation in supply chains: theoretic developments and extensions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 179-207, November.
    8. Qinpeng Wang & Longfei He & Daozhi Zhao & Michele Lundy, 2018. "Diverse Schemes of Cost Pooling for Carbon-Reduction Outsourcing in Low-Carbon Supply Chains," Energies, MDPI, vol. 11(11), pages 1-17, November.
    9. Xu, Xiaoping & He, Ping & Xu, Hao & Zhang, Quanpeng, 2017. "Supply chain coordination with green technology under cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 433-442.
    10. Liangjie Xia & Yongwan Bai & Sanjoy Ghose & Juanjuan Qin, 2022. "Differential game analysis of carbon emissions reduction and promotion in a sustainable supply chain considering social preferences," Annals of Operations Research, Springer, vol. 310(1), pages 257-292, March.
    11. Shoufeng Ji & Dan Zhao & Xiaoshuai Peng, 2018. "Joint Decisions on Emission Reduction and Inventory Replenishment with Overconfidence and Low-Carbon Preference," Sustainability, MDPI, vol. 10(4), pages 1-21, April.
    12. Susu Cheng & Fan Zhang, 2022. "Regulatory pressure and consumer environmental awareness in a green supply chain with retailer responsibility: A dynamic analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 1133-1151, June.
    13. Shaojian Qu & Guoqing Jiang & Ying Ji & Guangming Zhang & Nabe Mohamed, 2021. "Newsvendor’s optimal decisions under stochastic demand and cap-and-trade regulation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17764-17787, December.
    14. Bibhas C. Giri & Ishani Ray, 2022. "Optimal sustainability investment and pricing decisions in a two-echelon supply chain with emissions-sensitive demand under cap-and-trade policy," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 786-808, September.
    15. Jaehyung An & Jinho Lee, 2018. "A Newsvendor Non-Cooperative Game for Efficient Allocation of Carbon Emissions," Sustainability, MDPI, vol. 10(1), pages 1-14, January.
    16. Zhimiao Tao & Jiuping Xu, 2019. "Carbon-Regulated EOQ Models with Consumers’ Low-Carbon Awareness," Sustainability, MDPI, vol. 11(4), pages 1-16, February.
    17. Choudhary, Alok & Sarkar, Sagar & Settur, Srikar & Tiwari, M.K., 2015. "A carbon market sensitive optimization model for integrated forward–reverse logistics," International Journal of Production Economics, Elsevier, vol. 164(C), pages 433-444.
    18. 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.
    19. Chai, Qiangfei & Xiao, Zhongdong & Lai, Kee-hung & Zhou, Guanghui, 2018. "Can carbon cap and trade mechanism be beneficial for remanufacturing?," International Journal of Production Economics, Elsevier, vol. 203(C), pages 311-321.
    20. Mallidis, Ioannis & Vlachos, Dimitrios & Iakovou, Eleftherios & Dekker, Rommert, 2014. "Design and planning for green global supply chains under periodic review replenishment policies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 210-235.

    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:spr:annopr:v:268:y:2018:i:1:d:10.1007_s10479-017-2657-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.