IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i4p1740-d494460.html
   My bibliography  Save this article

A Model of Waste Price in a Symbiotic Supply Chain Based on Stackelberg Algorithm

Author

Listed:
  • Cheng Che

    (School of Economics and Management, China University of Petroleum, Qingdao 266580, China)

  • Xiaoguang Zhang

    (School of Economics and Management, China University of Petroleum, Qingdao 266580, China)

  • Yi Chen

    (School of Economics and Management, China University of Petroleum, Qingdao 266580, China)

  • Liangyan Zhao

    (School of Economics and Management, China University of Petroleum, Qingdao 266580, China)

  • Zhihong Zhang

    (School of Economics and Management, China University of Petroleum, Qingdao 266580, China)

Abstract

By establishing a two-level symbiotic supply chain system consisting of one supplier and one manufacturer, we use Stackelberg method to analyze the optimal price and revenue model of supplier and manufacturer in the symbiotic supply chain under two power structures in which the supplier and manufacturer are dominant respectively, and analyze the influence of the degree of symbiosis and power structure on the model. Through comparative analysis, we find that: There is a relationship between the income level and the degree of symbiosis in the symbiotic supply chain. The change of power structure will affect the relative benefits of suppliers and manufacturers in the symbiotic supply chain. The manufacturer’s expected unit product revenue will affect the supply chain revenue when the manufacturer is dominant. Finally, the sensitivity analysis of relevant parameters is carried out through an example analysis, and the validity of the conclusion is verified. This paper has a guiding significance for the behavior of enterprises in the cogeneration supply chain.

Suggested Citation

  • Cheng Che & Xiaoguang Zhang & Yi Chen & Liangyan Zhao & Zhihong Zhang, 2021. "A Model of Waste Price in a Symbiotic Supply Chain Based on Stackelberg Algorithm," Sustainability, MDPI, vol. 13(4), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1740-:d:494460
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/4/1740/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/4/1740/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter Laybourn & D. Rachel Lombardi, 2012. "Industrial Symbiosis in European Policy," Journal of Industrial Ecology, Yale University, vol. 16(1), pages 11-12, February.
    2. Xu, Xiaofeng & Wei, Zhifei & Ji, Qiang & Wang, Chenglong & Gao, Guowei, 2019. "Global renewable energy development: Influencing factors, trend predictions and countermeasures," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    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. Ukrit Suksanguan & Somsak Siwadamrongpong & Thanapong Champahom & Sajjakaj Jomnonkwao & Tassana Boonyoo & Vatanavongs Ratanavaraha, 2022. "Structural Equation Model of Factors Influencing the Selection of Industrial Waste Disposal Service in Cement Kilns," Sustainability, MDPI, vol. 14(7), pages 1-19, March.
    2. Deepak Singhal & Sarat Kumar Jena & Satyabrata Aich & Sushanta Tripathy & Hee-Cheol Kim, 2021. "Remanufacturing for Circular Economy: Understanding the Impact of Manufacturer’s Incentive under Price Competition," Sustainability, MDPI, vol. 13(21), pages 1-19, October.

    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. Feng Dong & Yuling Pan, 2020. "Evolution of Renewable Energy in BRI Countries: A Combined Econometric and Decomposition Approach," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    2. Yijing Chu & Yingying Wang & Zucheng Zhang & Shengli Dai, 2022. "Decoupling of Economic Growth and Industrial Water Use in Hubei Province: From an Ecological–Economic Interaction Perspective," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    3. Liobikienė, Genovaitė & Miceikienė, Astrida, 2022. "The role of financial, social and informational mechanisms on willingness to use bioenergy," Renewable Energy, Elsevier, vol. 194(C), pages 21-27.
    4. Dogan, Eyup & Chishti, Muhammad Zubair & Karimi Alavijeh, Nooshin & Tzeremes, Panayiotis, 2022. "The roles of technology and Kyoto Protocol in energy transition towards COP26 targets: Evidence from the novel GMM-PVAR approach for G-7 countries," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    5. Ankrah, Isaac & Lin, Boqiang, 2020. "Renewable energy development in Ghana: Beyond potentials and commitment," Energy, Elsevier, vol. 198(C).
    6. Jun Hao & Xiaolei Sun & Qianqian Feng, 2020. "A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm," Energies, MDPI, vol. 13(3), pages 1-25, January.
    7. Karolis Andriuškevičius & Dalia Štreimikienė, 2022. "Energy M&A Market in the Baltic States Analyzed through the Lens of Sustainable Development," Energies, MDPI, vol. 15(21), pages 1-21, October.
    8. Ruozhen Qiu & Shunpeng Shi & Yue Sun, 2019. "A p -Robust Green Supply Chain Network Design Model under Uncertain Carbon Price and Demand," Sustainability, MDPI, vol. 11(21), pages 1-22, October.
    9. Aid, Graham & Eklund, Mats & Anderberg, Stefan & Baas, Leenard, 2017. "Expanding roles for the Swedish waste management sector in inter-organizational resource management," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 85-97.
    10. Zhang, Chenxi & Zhou, Dequn & Wang, Qunwei & Ding, Hao & Zhao, Siqi, 2022. "Will fiscal decentralization stimulate renewable energy development? Evidence from China," Energy Policy, Elsevier, vol. 164(C).
    11. Zhang, Qianxiao & Shah, Syed Ale Raza & Yang, Ling, 2022. "Modeling the effect of disaggregated renewable energies on ecological footprint in E5 economies: Do economic growth and R&D matter?," Applied Energy, Elsevier, vol. 310(C).
    12. Mohd Ziaur Rehman & Shabeer Khan & Uzair Abdullah Khan & Wadi B. Alonazi & Abul Ala Noman, 2023. "How Do Global Uncertainties Spillovers Affect Leading Renewable Energy Indices? Evidence from the Network Connectedness Approach," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
    13. Silva, Nuno & Fuinhas, José Alberto & Koengkan, Matheus, 2021. "Assessing the advancement of new renewable energy sources in Latin American and Caribbean countries," Energy, Elsevier, vol. 237(C).
    14. Ma, Yu & Zhang, Tingting & Qian, Wenyu & Wei, Danqi, 2022. "Financial development, demographic changes, and the growth of the non-hydro renewable energy Industry—An empirical test based on R&D and financing costs," Renewable Energy, Elsevier, vol. 185(C), pages 217-229.
    15. Tang, Songlin & Zhou, Wenbing & Li, Xinjin & Chen, Yingchao & Zhang, Qian & Zhang, Xiliang, 2021. "Subsidy strategy for distributed photovoltaics: A combined view of cost change and economic development," Energy Economics, Elsevier, vol. 97(C).
    16. Wang, You & Gong, Xu, 2020. "Does financial development have a non-linear impact on energy consumption? Evidence from 30 provinces in China," Energy Economics, Elsevier, vol. 90(C).
    17. Hakan Güneş & Hamis Miraji Ally Simba & Haydar Karadağ & Mustafa Şit, 2023. "Global Energy Transformation and the Impacts of Systematic Energy Change Policy on Climate Change Mitigation," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
    18. Luis O. Lara-Cerecedo & Jesús F. Hinojosa & Nun Pitalúa-Díaz & Yasuhiro Matsumoto & Alvaro González-Angeles, 2023. "Prediction of the Electricity Generation of a 60-kW Photovoltaic System with Intelligent Models ANFIS and Optimized ANFIS-PSO," Energies, MDPI, vol. 16(16), pages 1-26, August.
    19. Xiaojun Dong & Tao Shi & Wei Zhang & Qian Zhou, 2020. "Temporal and Spatial Differences in the Resilience of Smart Cities and Their Influencing Factors: Evidence from Non-Provincial Cities in China," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    20. Chen, Xian & Li, Yang & Xiao, Jihong & Wen, Fenghua, 2020. "Oil shocks, competition, and corporate investment: Evidence from China," Energy Economics, Elsevier, vol. 89(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:jsusta:v:13:y:2021:i:4:p:1740-:d:494460. 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.