IDEAS home Printed from https://ideas.repec.org/a/bpj/jossai/v8y2020i1p33-52n3.html
   My bibliography  Save this article

On the Competitive Mechanism Concerning the Third-Party Transaction in Chinese Market

Author

Listed:
  • Chen Shaogang

    (School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China)

  • Chen Xianle

    (University of Nottingham, University Park Campus, Nottingham, United Kingdom NG7 2RD, China)

  • Jing Yanfei

    (School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China)

Abstract

This paper seeks to position the third-party transaction (TPT) in the macrostructure of Chinese market in terms of Concentration Ratio and Herfindahl-Hirschman Index. By extending both Cournot oligopolistic and Stackelberg oligopolistic competition models, a new oligopolistic competition model is established for China’s TPT market. Based on multidimensional game, a pricing game model is theorized accordingly to elucidate the TPT platform. The influence of various factors on the price of the TPT platform is verified with numerical simulation. The formation of monopoly is an inevitable consequence of the “one superpower and multi powers” market structure given the unregulated development of TPT enterprises as the prerequisite. In addition, through the studies on telecom payment market, such unregulated development can also cause the “big-three” domination for the TPT enterprises in the “multi powers” market structure. Based on our modelizations, this paper serves to provide prospect recommendations for policy-making of state supervision authorities.

Suggested Citation

  • Chen Shaogang & Chen Xianle & Jing Yanfei, 2020. "On the Competitive Mechanism Concerning the Third-Party Transaction in Chinese Market," Journal of Systems Science and Information, De Gruyter, vol. 8(1), pages 33-52, February.
    • Handle: RePEc:bpj:jossai:v:8:y:2020:i:1:p:33-52:n:3
    DOI: 10.21078/JSSI-2020-033-20
    as

    Download full text from publisher

    File URL: https://doi.org/10.21078/JSSI-2020-033-20
    Download Restriction: no
    File URL: https://libkey.io/10.21078/JSSI-2020-033-20?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
    ---><---

    References listed on IDEAS

    as
    1. Miller, Nolan & Resnick, Paul & Zeckhauser, Richard, 2002. "Eliciting Honest Feedback in Electronic Markets," Working Paper Series rwp02-039, Harvard University, John F. Kennedy School of Government.
    2. Chrysanthos Dellarocas, 2005. "Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard," Information Systems Research, INFORMS, vol. 16(2), pages 209-230, June.
    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. Chrysanthos Dellarocas & Charles A. Wood, 2008. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science, INFORMS, vol. 54(3), pages 460-476, March.
    2. Judy E. Scott & Dawn G. Gregg & Jae Hoon Choi, 2015. "Lemon complaints: When online auctions go sour," Information Systems Frontiers, Springer, vol. 17(1), pages 177-191, February.
    3. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    4. Wang, Yan & Yang, Jian & Qi, Lian, 2017. "A game-theoretic model for the role of reputation feedback systems in peer-to-peer commerce," International Journal of Production Economics, Elsevier, vol. 191(C), pages 178-193.
    5. Christina Aperjis & Ramesh Johari, 2010. "Optimal Windows for Aggregating Ratings in Electronic Marketplaces," Management Science, INFORMS, vol. 56(5), pages 864-880, May.
    6. Aperjis, Christina & Zeckhauser, Richard J. & Miao, Yali, 2014. "Variable temptations and black mark reputations," Games and Economic Behavior, Elsevier, vol. 87(C), pages 70-90.
    7. Ofer Tchernichovski & Marissa King & Peter Brinkmann & Xanadu Halkias & Daniel Fimiarz & Laurent Mars & Dalton Conley, 2017. "Tradeoff Between Distributed Social Learning and Herding Effect in Online Rating Systems," SAGE Open, , vol. 7(1), pages 21582440176, February.
    8. Xiaowei Mei & Hsing Kenneth Cheng & Subhajyoti Bandyopadhyay & Liangfei Qiu & Lai Wei, 2022. "Sponsored Data: Smarter Data Pricing with Incomplete Information," Information Systems Research, INFORMS, vol. 33(1), pages 362-382, March.
    9. Paul Resnick & Richard Zeckhauser & John Swanson & Kate Lockwood, 2006. "The value of reputation on eBay: A controlled experiment," Experimental Economics, Springer;Economic Science Association, vol. 9(2), pages 79-101, June.
    10. Jianqing Chen & Hong Xu & Andrew B. Whinston, 2009. "Moderated Online Communities and User-Generated Content," Working Papers 09-11, NET Institute.
    11. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    12. Milan Bradonjić & Matthew Causley & Albert Cohen, 2015. "Stochastic Optimal Control for Online Seller under Reputational Mechanisms," Risks, MDPI, vol. 3(4), pages 1-20, December.
    13. Gary E Bolton & Claudia Loebbecke & Axel Ockenfels, 2007. "How Social Reputation Networks Interact with Competition in Anonymous Online Trading: An Experimental Study," Working Paper Series in Economics 32, University of Cologne, Department of Economics.
    14. María Jesús Carrasco-Santos & Antonio Manuel Ciruela-Lorenzo & Juan Gabriel Méndez Pavón & Carmen Cristófol Rodríguez, 2021. "An Online Reputation Analysis of the Tourism Industry in Marbella: A Preliminary Study on Open Innovation," JOItmC, MDPI, vol. 7(2), pages 1-14, April.
    15. Karl Taeuscher, 2019. "Uncertainty kills the long tail: demand concentration in peer-to-peer marketplaces," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 649-660, December.
    16. Dominik Gutt & Jürgen Neumann & Wael Jabr & Dennis Kundisch, 2020. "The Fate of the App: Economic Implications of Updating under Reputation Resetting," Working Papers Dissertations 76, Paderborn University, Faculty of Business Administration and Economics.
    17. Sarah C. Rice, 2012. "Reputation and Uncertainty in Online Markets: An Experimental Study," Information Systems Research, INFORMS, vol. 23(2), pages 436-452, June.
    18. Sonja Brangewitz & Behnud Djawadi & Rene Fahr & Claus-Jochen Haake, 2014. "Quality Choices and Reputation Systems in Online Markets - An Experimental Study," Working Papers CIE 85, Paderborn University, CIE Center for International Economics.
    19. Behnud Mir Djawadi & René Fahr & Claus-Jochen Haake & Sonja Recker, 2018. "Maintaining vs. milking good reputation when customer feedback is inaccurate," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-23, November.
    20. Apostolos Filippas & John J. Horton & Joseph M. Golden, 2022. "Reputation Inflation," Marketing Science, INFORMS, vol. 41(4), pages 733-745, July.

    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:bpj:jossai:v:8:y:2020:i:1:p:33-52:n:3. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.