IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v179y2023ics1366554523002995.html
   My bibliography  Save this article

Optimizing the emission control policies and trade-in program effects: A carbon-constrained closed-loop supply chain network model

Author

Listed:
  • Cheng, Peiyue
  • Wang, Tingsong

Abstract

Economic development and human activities affect the natural environment severely. The government has promogulated several policies such as carbon caps and trading scheme, government subsidies, and green credit to control emissions. Accordingly, enterprises should profit on the premise of undertaking social responsibilities, green technology and trade-in programs are two ways to benefit the environment. However, the interaction between regulations and emission abatement measures is largely unknown. A carbon-constrained closed-loop supply chain network model is proposed to discuss the joint effect of the policies and operational measures. The model is constructed under two scenarios, i.e., Manufacturer-led mode and Retailer-led mode. Sensitivity analysis is conducted to compare the scenarios. The results show that although the retailer-led mode promotes resource recovery and supply chain performance, it weakens manufacturers’ profit. We find that the carbon caps and trading scheme is effective in emission reduction when the initial carbon quota is relatively less, which indicates the importance of carbon caps allocation method. The government subsidies stimulate green manufacturers to do more emission reduction efforts enhancing sustainability. The subsidy on green products has more obvious effect on coordinating economic and environmental targets. We also reveal environmental awareness positively affects the emission abatement level. Finally, we extend our models to two special cases with (i) generalization of customers and (ii) different production cost function forms. The main conclusions remain valid in the special cases. The theoretically derived conclusions contribute to the operational research literature and will guide policymakers and enterprises in the manufacturing industry.

Suggested Citation

  • Cheng, Peiyue & Wang, Tingsong, 2023. "Optimizing the emission control policies and trade-in program effects: A carbon-constrained closed-loop supply chain network model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
  • Handle: RePEc:eee:transe:v:179:y:2023:i:c:s1366554523002995
    DOI: 10.1016/j.tre.2023.103311
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554523002995
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2023.103311?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. Quan, Yuting & Hong, Jiangtao & Song, Jingpu & Leng, Mingming, 2021. "Game-theoretic analysis of trade-in services in closed-loop supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    2. Yu, Chin-Hsien & Wu, Xiuqin & Zhang, Dayong & Chen, Shi & Zhao, Jinsong, 2021. "Demand for green finance: Resolving financing constraints on green innovation in China," Energy Policy, Elsevier, vol. 153(C).
    3. Baudry, Marc & Faure, Anouk & Quemin, Simon, 2021. "Emissions trading with transaction costs," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    4. Fuqiang Zhang & Renyu Zhang, 2018. "Trade-in Remanufacturing, Customer Purchasing Behavior, and Government Policy," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 601-616, October.
    5. Tan, Xiujie & Yan, Yaxue & Dong, Yuyang, 2022. "Peer effect in green credit induced green innovation: An empirical study from China's Green Credit Guidelines," Resources Policy, Elsevier, vol. 76(C).
    6. Cao, Kaiying & Su, Yunyi & Han, Guoxin & Choi, Tsan-Ming, 2022. "Is it wise to offer rebates for unused extended warranties under trade-in programs in supply chains?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    7. Pan, Yanchun & Yang, Wen & Ma, Nan & Chen, Zhimin & Zhou, Ming & Xiong, Yi, 2019. "Game analysis of carbon emission verification: A case study from Shenzhen's cap-and-trade system in China," Energy Policy, Elsevier, vol. 130(C), pages 418-428.
    8. Lipan Feng & Yongjian Li & Fangchao Xu & Qianzhou Deng, 2019. "Optimal pricing and trade-in policies in a dual-channel supply chain when considering market segmentation," International Journal of Production Research, Taylor & Francis Journals, vol. 57(9), pages 2828-2846, May.
    9. Genc, Talat S. & Giovanni, Pietro De, 2017. "Trade-in and save: A two-period closed-loop supply chain game with price and technology dependent returns," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 514-527.
    10. Hong, Zhaofu & Guo, Xiaolong, 2019. "Green product supply chain contracts considering environmental responsibilities," Omega, Elsevier, vol. 83(C), pages 155-166.
    11. Fang, Chenhao & Ma, Tieju, 2020. "Stylized agent-based modeling on linking emission trading systems and its implications for China's practice," Energy Economics, Elsevier, vol. 92(C).
    12. Hammond, David & Beullens, Patrick, 2007. "Closed-loop supply chain network equilibrium under legislation," European Journal of Operational Research, Elsevier, vol. 183(2), pages 895-908, December.
    13. Kopp, Raymond J. & Smith, V. Kerry, 1980. "Environmental regulation and optimal investment behavior : A micro-economic analysis," Regional Science and Urban Economics, Elsevier, vol. 10(2), pages 211-224, June.
    14. Wang, Xinyu & Sethi, Suresh P. & Chang, Shuhua, 2022. "Pollution abatement using cap-and-trade in a dynamic supply chain and its coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    15. Liu, Jingchen & Zhai, Xin & Chen, Lihua, 2019. "Optimal pricing strategy under trade-in program in the presence of strategic consumers," Omega, Elsevier, vol. 84(C), pages 1-17.
    16. Nagurney, Anna & Dong, June & Zhang, Ding, 2002. "A supply chain network equilibrium model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(5), pages 281-303, September.
    17. Andersen, Dana C., 2017. "Do credit constraints favor dirty production? Theory and plant-level evidence," Journal of Environmental Economics and Management, Elsevier, vol. 84(C), pages 189-208.
    18. Liu, Xinghe & Wang, Enxian & Cai, Danting, 2019. "Green credit policy, property rights and debt financing: Quasi-natural experimental evidence from China," Finance Research Letters, Elsevier, vol. 29(C), pages 129-135.
    19. Aguilar, Francisco X. & Vlosky, Richard P., 2007. "Consumer willingness to pay price premiums for environmentally certified wood products in the U.S," Forest Policy and Economics, Elsevier, vol. 9(8), pages 1100-1112, May.
    20. Ghosh, Debabrata & Shah, Janat, 2012. "A comparative analysis of greening policies across supply chain structures," International Journal of Production Economics, Elsevier, vol. 135(2), pages 568-583.
    21. Huiming Gong & Michael Wang & Hewu Wang, 2013. "New energy vehicles in China: policies, demonstration, and progress," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(2), pages 207-228, February.
    22. Zhu, Xiaoxi & Chiong, Raymond & Wang, Miaomiao & Liu, Kai & Ren, Minglun, 2021. "Is carbon regulation better than cash subsidy? The case of new energy vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 170-192.
    23. Yingmiao Qian & Xian-An Yu & Malin Song & Zhiyang Shen, 2023. "Complexity analysis and control of game behavior of subjects in green building materials supply chain considering technology subsidies," Post-Print hal-03974946, HAL.
    24. Yang, Lei & Zhang, Qin & Ji, Jingna, 2017. "Pricing and carbon emission reduction decisions in supply chains with vertical and horizontal cooperation," International Journal of Production Economics, Elsevier, vol. 191(C), pages 286-297.
    25. Ward, David O. & Clark, Christopher D. & Jensen, Kimberly L. & Yen, Steven T., 2011. "Consumer willingness to pay for appliances produced by Green Power Partners," Energy Economics, Elsevier, vol. 33(6), pages 1095-1102.
    26. Li, Zhimin & Pan, Yanchun & Yang, Wen & Ma, Jianhua & Zhou, Ming, 2021. "Effects of government subsidies on green technology investment and green marketing coordination of supply chain under the cap-and-trade mechanism," Energy Economics, Elsevier, vol. 101(C).
    27. Dou, Guowei & Choi, Tsan-Ming, 2021. "Does implementing trade-in and green technology together benefit the environment?," European Journal of Operational Research, Elsevier, vol. 295(2), pages 517-533.
    28. Lin, Boqiang & Jia, Zhijie, 2020. "Is emission trading scheme an opportunity for renewable energy in China? A perspective of ETS revenue redistributions," Applied Energy, Elsevier, vol. 263(C).
    29. Kaiying Cao & Tsan‐Ming Choi, 2022. "Optimal Trade‐in Return Policies: Is it Wise to be Generous?," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1309-1331, March.
    30. Yu, Jinglei & Williams, Eric & Ju, Meiting & Shao, Chaofeng, 2010. "Managing e-waste in China: Policies, pilot projects and alternative approaches," Resources, Conservation & Recycling, Elsevier, vol. 54(11), pages 991-999.
    31. Genc, Talat S. & De Giovanni, Pietro, 2018. "Optimal return and rebate mechanism in a closed-loop supply chain game," European Journal of Operational Research, Elsevier, vol. 269(2), pages 661-681.
    32. Ma, Peng & Gong, Yeming & Mirchandani, Prakash, 2020. "Trade-in for remanufactured products: Pricing with double reference effects," International Journal of Production Economics, Elsevier, vol. 230(C).
    33. Sheu, Jiuh-Biing & Choi, Tsan-Ming, 2019. "Extended consumer responsibility: Syncretic value-oriented pricing strategies for trade-in-for-upgrade programs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 350-367.
    34. 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.
    35. Cao, Kaiying & Han, Guoxin & Xu, Bing & Wang, Jia, 2020. "Gift card payment or cash payment: Which payment is suitable for trade-in rebate?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    36. 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.
    37. Chang, Kai & Zeng, Yonghong & Wang, Weihong & Wu, Xin, 2019. "The effects of credit policy and financial constraints on tangible and research & development investment: Firm-level evidence from China's renewable energy industry," Energy Policy, Elsevier, vol. 130(C), pages 438-447.
    38. Jauhari, Wakhid Ahmad & Adam, Niimas Ayu Frensilia Putri & Rosyidi, Cucuk Nur & Pujawan, I Nyoman & Shah, Nita H., 2020. "A closed-loop supply chain model with rework, waste disposal, and carbon emissions," Operations Research Perspectives, Elsevier, vol. 7(C).
    39. Hu, Shu & Ma, Zu-Jun & Sheu, Jiuh-Biing, 2019. "Optimal prices and trade-in rebates for successive-generation products with strategic consumers and limited trade-in duration," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 92-107.
    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. Dou, Guowei & Choi, Tsan-Ming, 2021. "Does implementing trade-in and green technology together benefit the environment?," European Journal of Operational Research, Elsevier, vol. 295(2), pages 517-533.
    2. Li, Yongjian & Wang, Kun & Xu, Fangchao & Fan, Chunxing, 2022. "Management of trade-in modes by recycling platforms based on consumer heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    3. Quan, Yuting & Hong, Jiangtao & Song, Jingpu & Leng, Mingming, 2021. "Game-theoretic analysis of trade-in services in closed-loop supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    4. Cao, Kaiying & Su, Yunyi & Han, Guoxin & Choi, Tsan-Ming, 2022. "Is it wise to offer rebates for unused extended warranties under trade-in programs in supply chains?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    5. Xu, Xiaoping & Yan, Luling & Choi, Tsan-Ming & Cheng, T.C.E., 2023. "When Is It Wise to Use Blockchain for Platform Operations with Remanufacturing?," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1073-1090.
    6. Yang, Feng & Wang, Manman & Ang, Sheng, 2021. "Optimal remanufacturing decisions in supply chains considering consumers’ anticipated regret and power structures," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    7. Li, Sijie & Jia, Dongfeng & Zheng, Bin, 2022. "The manufacturer’s trade-in partner choice and pricing in the presence of collection platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    8. Cao, Kaiying & Guo, Qiang & Xu, Yuqiu, 2023. "Information sharing and carbon reduction strategies with extreme weather in the platform economy," International Journal of Production Economics, Elsevier, vol. 255(C).
    9. Hu, Shu & Zhu, Stuart X. & Fu, Ke, 2023. "Optimal trade-in and refurbishment strategies for durable goods," European Journal of Operational Research, Elsevier, vol. 309(1), pages 133-151.
    10. Cao, Kaiying & Han, Guoxin & Xu, Bing & Wang, Jia, 2020. "Gift card payment or cash payment: Which payment is suitable for trade-in rebate?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    11. Mo Du & Ruirui Zhang & Shanglei Chai & Qiang Li & Ruixuan Sun & Wenjun Chu, 2022. "Can Green Finance Policies Stimulate Technological Innovation and Financial Performance? Evidence from Chinese Listed Green Enterprises," Sustainability, MDPI, vol. 14(15), pages 1-28, July.
    12. Guojun Ji & Zhongfeng Sun & Kim Hua Tan, 2021. "Collaborative Rebate Strategy of Business-to-Customer Platforms Considering Recycling and Trade-Ins Simultaneously," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    13. Das, Debabrata & Dutta, Pankaj, 2022. "Product return management through promotional offers: The role of consumers’ loss aversion," International Journal of Production Economics, Elsevier, vol. 251(C).
    14. Faqi Xie & Yushuang Deng & Huiru Chen, 2023. "Pricing and Quantity Decisions under Asymmetric Carbon Emission Reduction Information and Cap-and-Trade Mechanism," IJERPH, MDPI, vol. 20(3), pages 1-27, January.
    15. Zolfagharinia, Hossein & Zangiabadi, Maryam & Hafezi, Maryam, 2023. "How much is enough? Government subsidies in supporting green product development," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1316-1333.
    16. Weihao Wang & Deqing Ma & Jinsong Hu, 2023. "Study of Carbon Reduction and Marketing Decisions with the Envisioning of a Favorable Event under Cap-and-Trade Regulation," IJERPH, MDPI, vol. 20(5), pages 1-27, March.
    17. Kaiying Cao & Tsan‐Ming Choi, 2022. "Optimal Trade‐in Return Policies: Is it Wise to be Generous?," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1309-1331, March.
    18. Fei Tang & Ying Dai & Zu‐Jun Ma, 2023. "Optimal joint trade‐in rebate strategies in a retailer‐led supply chain," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 399-415, January.
    19. Tang, Fei & Dai, Ying & Ma, Zu-Jun & Choi, Tsan-Ming, 2023. "Trade-in operations under retail competition: Effects of brand loyalty," European Journal of Operational Research, Elsevier, vol. 310(1), pages 397-414.
    20. Zhao, Liange & Wang, Dongmei & Wang, Xueyuan & Zhang, Zhijian, 2023. "Impact of green finance on total factor productivity of heavily polluting enterprises: Evidence from green finance reform and innovation pilot zone," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 765-785.

    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:transe:v:179:y:2023:i:c:s1366554523002995. 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/wps/find/journaldescription.cws_home/600244/description#description .

    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.