IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i15p2711-d252835.html
   My bibliography  Save this article

The Stability and Complexity Analysis of a Low-Carbon Supply Chain Considering Fairness Concern Behavior and Sales Service

Author

Listed:
  • Qiuxiang Li

    (Institute of Management Science and Engineering, Henan University, Kaifeng 475004, China)

  • Xingli Chen

    (School of Business, Henan University, Kaifeng 475004, China)

  • Yimin Huang

    (School of Management & Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

Abstract

This paper studies a low-carbon dual-channel supply chain in which a manufacturer sells products through the direct channel and traditional channel, and a retailer sells products through the traditional channel. The manufacturer considers carbon emission reduction and has fairness concern behavior. The retailer provides sales service in the traditional channel and considers fairness concern behavior. The objective of this paper is to analyze the effects of different parameter values on the price stability and utility of the supply chain system emphatically using 2D bifurcation diagram, parameter plot basin, the basins of attraction, chaos attractor and sensitivity to the initial value, etc. The results find that the retailer’s fairness concern behavior shrinks the stability of the supply chain system more than that of the manufacturer’s fairness concern behavior. The system stability region decreases with the increase of carbon emission reduction level and the retailer’s fairness concern. The customers’ preference for the direct channel decreases the stable range of the direct channel, while it enlarges the stable range of the traditional channel. The supply chain system enters into chaos through flip bifurcation with the increase of price adjustment speed. In a stable state, the manufacture improving customer’s preference for the direct channel and the retailer choosing the appropriate fairness concern level can achieve the maximum utility separately. In a chaotic state, the average utilities of the manufacturer and retailer all decline, while that of the retailer declines even more. By selecting appropriate control parameter, the low-carbon dual-channel supply chain system can return to a stable state from chaos again. The research of this paper is of great significance to price decisions of participants and supply chain operation management.

Suggested Citation

  • Qiuxiang Li & Xingli Chen & Yimin Huang, 2019. "The Stability and Complexity Analysis of a Low-Carbon Supply Chain Considering Fairness Concern Behavior and Sales Service," IJERPH, MDPI, vol. 16(15), pages 1-21, July.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:15:p:2711-:d:252835
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/15/2711/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/15/2711/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marcus Brandenburg, 2015. "Low carbon supply chain configuration for a new product – a goal programming approach," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6588-6610, November.
    2. Bisheng Du & Qing Liu & Guiping Li, 2017. "Coordinating Leader-Follower Supply Chain with Sustainable Green Technology Innovation on Their Fairness Concerns," IJERPH, MDPI, vol. 14(11), pages 1-23, November.
    3. Seyed Jafar Sadjadi & Hashem Asadi & Ramin Sadeghian & Hadi Sahebi, 2018. "Retailer Stackelberg game in a supply chain with pricing and service decisions and simple price discount contract," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-24, April.
    4. Baozhuang Niu & Qinquan Cui & Jie Zhang, 2017. "Impact of channel power and fairness concern on supplier’s market entry decision," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(12), pages 1570-1581, December.
    5. Peng Ma & Kevin W. Li & Zhou-Jing Wang, 2017. "Pricing decisions in closed-loop supply chains with marketing effort and fairness concerns," International Journal of Production Research, Taylor & Francis Journals, vol. 55(22), pages 6710-6731, November.
    6. Zhi Liu & Xiao-Xue Zheng & Ben-Gang Gong & Yun-Miao Gui, 2017. "Joint Decision-Making and the Coordination of a Sustainable Supply Chain in the Context of Carbon Tax Regulation and Fairness Concerns," IJERPH, MDPI, vol. 14(12), pages 1-20, November.
    7. Hołyst, Janusz A & Urbanowicz, Krzysztof, 2000. "Chaos control in economical model by time-delayed feedback method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 587-598.
    8. 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.
    9. Andy A. Tsay & Narendra Agrawal, 2000. "Channel Dynamics Under Price and Service Competition," Manufacturing & Service Operations Management, INFORMS, vol. 2(4), pages 372-391, August.
    10. Cicconi, Paolo & Landi, Daniele & Germani, Michele & Russo, Anna Costanza, 2017. "A support approach for the conceptual design of energy-efficient cooker hoods," Applied Energy, Elsevier, vol. 206(C), pages 222-239.
    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. 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.
    13. Linghong Zhang & Bowen Xue & Xiyu Liu, 2018. "Carbon Emission Reduction with Regard to Retailer’s Fairness Concern and Subsidies," Sustainability, MDPI, vol. 10(4), pages 1-28, April.
    14. Shaofu Du & Li Hu & Li Wang, 2017. "Low-carbon supply policies and supply chain performance with carbon concerned demand," Annals of Operations Research, Springer, vol. 255(1), pages 569-590, August.
    15. Zhou, Yong-Wu & Guo, Jinsen & Zhou, Wenhui, 2018. "Pricing/service strategies for a dual-channel supply chain with free riding and service-cost sharing," International Journal of Production Economics, Elsevier, vol. 196(C), pages 198-210.
    16. Hui Li & Chuanxu Wang & Meng Shang & Wei Ou, 2017. "Pricing, Carbon Emission Reduction, Low-Carbon Promotion and Returning Decision in a Closed-Loop Supply Chain under Vertical and Horizontal Cooperation," IJERPH, MDPI, vol. 14(11), pages 1-26, November.
    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. Hao Zou & Jin Qin & Bo Dai, 2021. "Optimal Pricing Decisions for a Low-Carbon Supply Chain Considering Fairness Concern under Carbon Quota Policy," IJERPH, MDPI, vol. 18(2), pages 1-21, January.
    2. Xuemei Zhang & Jiawei Hu & Suqin Sun & Guohu Qi, 2022. "Extended Warranty Strategy and Its Environment Impact of Remanufactured Supply Chain," IJERPH, MDPI, vol. 19(3), pages 1-25, January.
    3. Longfei He & Baiyun Yuan & Junsong Bian & Kin Keung Lai, 2023. "Differential game theoretic analysis of the dynamic emission abatement in low-carbon supply chains," Annals of Operations Research, Springer, vol. 324(1), pages 355-393, May.
    4. Hong Zeng & Dongqin Jiang & Yimeng Li, 2022. "Cooperative and Non-Cooperative Green Advertising in the Low-Carbon Supply Chain under Monopoly or Competitive Market," Sustainability, MDPI, vol. 14(15), pages 1-22, July.

    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. Qiuxiang Li & Mengnan Shi & Yimin Huang, 2019. "A Dynamic Price Game Model in a Low-Carbon, Closed-Loop Supply Chain Considering Return Rates and Fairness Concern Behaviors," IJERPH, MDPI, vol. 16(11), pages 1-21, June.
    2. Hao Zou & Jin Qin & Bo Dai, 2021. "Optimal Pricing Decisions for a Low-Carbon Supply Chain Considering Fairness Concern under Carbon Quota Policy," IJERPH, MDPI, vol. 18(2), pages 1-21, January.
    3. Deng Li & Ying Peng & Chunxiang Guo & Ruwen Tan, 2019. "Pricing Strategy of Construction and Demolition Waste Considering Retailer Fairness Concerns under a Governmental Regulation Environment," IJERPH, MDPI, vol. 16(20), pages 1-24, October.
    4. Xu, Hao & Chen, Liuxin & Ma, Lijun, 2024. "Supply chain product innovation and marketing strategies under different fairness concerns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    5. Renbang Shan & Li Luo & Baoli Shi, 2023. "The choice of recycling strategies for decision-makers based on government subsidy and service budget," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1441-1472, February.
    6. Yuxiang Zhang & Deqing Tan & Zhi Liu, 2019. "Leasing or Selling? Durable Goods Manufacturer Marketing Model Selection under a Mixed Carbon Trading-and-Tax Policy Scenario," IJERPH, MDPI, vol. 16(2), pages 1-29, January.
    7. Qiuxiang Li & Xingli Chen & Yimin Huang & Huangbao Gui & Shengyang Liu, 2019. "The Impacts of Green Innovation Input and Channel Service in a Dual-Channel Value Chain," IJERPH, MDPI, vol. 16(22), pages 1-26, November.
    8. Pi, Zhenyang & Fang, Weiguo & Perera, Sandun C. & Zhang, Baofeng, 2022. "Enhancing the online buyer perception of consumer experience products in a dual-channel supply chain: A new role of free-riding," International Journal of Production Economics, Elsevier, vol. 253(C).
    9. Chen, Jianxin & Hou, Rui & Xiao, Lu & Zhang, Tonghua & Zhou, Yongwu, 2023. "Dynamic corporate social responsibility adjustment strategies of a closed-loop supply chain with fairness concerns and supply chain financing," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    10. Shengliang Zong & Chunyang Shen, 2023. "Decision-making and coordination in an e-commerce supply chain under channel selection," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 326-369, March.
    11. Wang, Junbin & Wang, Shanshan, 2022. "Revisiting the showrooming effect on online and offline retailers: The strategic role of in-store service," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    12. Jun Wang & Qian Zhang & Xinman Lu & Rui Ma & Baoqin Yu & Huming Gao, 2022. "Emission reduction and coordination of a dynamic supply chain with green reputation," Operational Research, Springer, vol. 22(4), pages 3945-3988, September.
    13. Zhang, Ranran & Ma, Weimin & Si, Hongyun & Liu, Jinjin & Liao, Le, 2021. "Cooperative game analysis of coordination mechanisms under fairness concerns of a green retailer," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    14. Xigang Yuan & Fei Tang & Dalin Zhang & Xiaoqing Zhang, 2021. "Green Remanufacturer’s Mixed Collection Channel Strategy Considering Enterprise’s Environmental Responsibility and the Fairness Concern in Reverse Green Supply Chain," IJERPH, MDPI, vol. 18(7), pages 1-18, March.
    15. Pei, Yiying & Li, Min, 2023. "The effects of information on competition on a hybrid retail platform," International Journal of Production Economics, Elsevier, vol. 260(C).
    16. Yue Wang & Baoying Xin & Zhe Wang & Bangyi Li, 2019. "Managing Supplier-Manufacturer Closed-Loop Supply Chain Considering Product Design and Take-Back Legislation," IJERPH, MDPI, vol. 16(4), pages 1-26, February.
    17. Genhasi Ge & Daoping Wang & Mesumbe Bianca Epede, 2022. "Pricing Policies of Green Dual-Channel Supply Chain with Fairness Concerns and Altruistic Preferences Based on Consumers’ Environmental Awareness and Channel Preference," IJERPH, MDPI, vol. 19(20), pages 1-28, October.
    18. Sarkar, Sumit, 2019. "Gratitude, conscience, and reciprocity: Models of supplier motivation when quality is non-contractible," European Journal of Operational Research, Elsevier, vol. 277(2), pages 633-642.
    19. Hu, Yihong & Qu, Shengnan & Li, Guo & Sethi, Suresh P., 2021. "Power structure and channel integration strategy for online retailers," European Journal of Operational Research, Elsevier, vol. 294(3), pages 951-964.
    20. Niu, Baozhuang & Mu, Zihao, 2020. "Sustainable efforts, procurement outsourcing, and channel co-opetition in emerging markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(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:gam:jijerp:v:16:y:2019:i:15:p:2711-:d:252835. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.