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A Survey of the Latest Advances in Oligopoly Games

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Abstract

One of the most important problems of game theory—the game of firms in an oligopoly market—is considered. The survey covers classical and modern formulations for the game-theoretic problem of choosing optimal player’s strategies and the recent methodological achievements in oligopoly games with applications, including publications over the past five years.

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Notes

  1. In the English literature, Stackelberg game is synonymous with hierarchical game. However, in a game with multiple leaders, the hierarchy becomes ambiguous.

  2. Some studies consider a conjectural price variation as a supposed change in price in response to the unit quantity increase of player i. When analyzing this approach, the variation ρ will be referred to as the quantity variation.

  3. Most studies of quantity oligopoly consider the inverse demand function. Therefore, it will be briefly called the demand function. When referring to the function Q(P), the term “direct demand function” will be used.

  4. The parameter for correcting the step of the dynamic process is fractional in the range [0, 1] or fractal. This shows an analogy of the finite-difference approach with fractal differential equations; see the discussion below.

  5. In [25], it has the form ui = –2 – \(\frac{{C_{{{{i}_{{{{Q}_{i}}{{Q}_{i}}}}}}}^{{''}}}}{b}\) because it was obtained for a linear demand function: in this case, \(P_{Q}^{'}\) = \(P_{{{{Q}_{i}}}}^{'}\) = –b and \(P_{{Q{{Q}_{i}}}}^{{''}}\) = 0. In addition, formula (12) is presented for the conjectural variations that do not depend on players’ actions (i.e., for \(\rho _{{ij{{Q}_{i}}}}^{'}\) = 0), whereas [25] described a more general case where \(\rho _{{ij{{Q}_{i}}}}^{'}\) ≠ 0.

  6. This approach is conceptually close to the inclusive best response in aggregative games [5], which represents the optimal response of a player to the total action of all players (including himself), i.e., \({{\tilde {r}}_{i}}(Q)\), in contrast to the best response to the environment ri(Qi).

  7. In the literature concerning vertical interaction, the retailer and supplier are called the downstream firm and upstream firm, respectively.

REFERENCES

  1. Cournot, A.A., Researches into the Mathematical Principles of the Theory of Wealth, London: Hafner, 1960. Original 1838.

  2. von Neumann, J. and Morgenstern, O., Theory of Games and Economic Behavior, Princeton: Princeton University Press, 1944.

    MATH  Google Scholar 

  3. Shubik, M., Strategy and Market Structure, New York: Wiley, 1959.

    MATH  Google Scholar 

  4. Filatov, A.Yu., Oligopoly Models: State-of-the-Art, in Teoriya i metody soglasovaniya reshenii (Theory and Methods of Decision Coordination), Novosibirsk: Meletiev Energy Systems Institute, 2009, pp. 29–60.

  5. Anderson, S.P., Erkal, N., and Piccinin, D., Aggregative Games and Oligopoly Theory: Short-Run and Long-Run Analysis, RAND J. Econom., 2020, vol. 51, no. 2, pp. 470–495.

    Google Scholar 

  6. Stackelberg, H., Market Structure and Equilibrium, Bazin, Urch & Hill, 1934; Springer, 2011.

  7. Novikov, D.A. and Chkhartishvili, A.G., Reflexion and Control: Mathematical Models, Leiden: CRC Press, 2014.

    Book  MATH  Google Scholar 

  8. Lefebvre, V.A., On Self-Organizing and Self-Reflexive Systems and Their Study, Trudy konferentsii “Problemy issledovaniya sistem i struktur” (Proc. Conf. “Analysis Problems for Systems and Structures”), Moscow: The USSR Academy of Sciences, 1965, pp. 61–68.

  9. Lefebvre, V., Lectures on the Reflexive Games Theory, New York: Leaf & Oaks Publishers, 2010.

    Google Scholar 

  10. Nash, J.F., Jr., Noncooperative Games, Annal. Mathem., 1951, vol. 54, no. 2, pp. 286–295.

    Google Scholar 

  11. Novshek, W., On the Existence of Cournot Equilibrium, Rev. Econom. Stud, 1985, vol. 52, pp. 85–98.

    Article  MathSciNet  MATH  Google Scholar 

  12. Walters, A.A., Production and Cost Functions: An Econometric Survey, Econometrica, 1963, vol. 31, no. 1, pp. 1–66.

    Article  MATH  Google Scholar 

  13. Ghemawat, P., Building Strategy on the Experience Curve, Harward Business Rev., 1985, vol. 63, no. 2, pp. 143–149.

    Google Scholar 

  14. Aizenberg, N.I., Zorkaltsev, V.I., and Mokryi, I.V., A Study into Unsteady Oligopolistic Markets, J. Appl. Industr. Math., 2017, vol. 11, no. 1, pp. 8–16.

    Article  Google Scholar 

  15. Algazin, G.I. and Algazina, D.G., Reflexion Processes and Equilibrium in an Oligopoly Model with a Leader, Autom. Remote Control, 2020, vol. 81, no. 7, pp. 1258–1270.

    Article  MathSciNet  MATH  Google Scholar 

  16. Algazin, G.I. and Algazina, Y.G., To the Analytical Investigation of the Convergence Conditions of the Processes of Reflexive Collective Behavior in Oligopoly Models, Autom. Remote Control, 2022, vol. 83, no. 3, pp. 367–388.

    Article  MathSciNet  MATH  Google Scholar 

  17. Algazin, G.I. and Algazina, D.G., Modeling the Dynamics of Collective Behavior in a Reflexive Game with an Arbitrary Number of Leaders, Informatics and Automation, 2022, vol. 21, no. 2, pp. 339–375.

    Article  Google Scholar 

  18. Al-Khedhairi, A., Dynamical Study of Competition Cournot-like Duopoly Games Incorporating Fractional Order Derivatives and Seasonal Influences, Int. J. Nonlinear Sci. Numer. Simulat., 2020, vol. 21, nos. 3–4, pp. 339–359.

    Article  MathSciNet  MATH  Google Scholar 

  19. Collie, D.R., Taxation under Oligopoly in a General Equilibrium Setting, J. Public Economic Theory, 2019, vol. 21, no. 4, pp. 738–753.

    Article  Google Scholar 

  20. Cumbul, E., Stackelberg versus Cournot Oligopoly with Private Information, Int. J. Indust. Organ., 2021, vol. 74, p. 102674.

    Article  Google Scholar 

  21. Dzhabarova, Y. and Zlatanov, B., A Note on the Market Equilibrium in Oligopoly with Three Industrial Players, AIP. Conf. Proc., 2022, vol. 2449, p. 070013.

    Article  Google Scholar 

  22. Fedyanin, D.N., Monotonicity of Equilibriums in Cournot Competition with Mixed Interactions of Agents and Epistemic Models of Uncertain Market, Procedia Comput. Sci., 2021, vol. 186, pp. 411–417.

    Article  Google Scholar 

  23. Ferrarese, W., When Multiple Merged Entities Lead in Stackelberg Oligopolies, Rev. Industr. Organ., 2020, vol. 56, no. 1, pp. 131–142.

    Article  Google Scholar 

  24. Geraskin, M.I., Analysis of Equilibria in a Nonlinear Oligopoly Model, Autom. Remote Control, 2022, vol. 83, no. 8, pp. 1261–1277.

    Article  MathSciNet  MATH  Google Scholar 

  25. Geraskin, M.I., The Properties of Conjectural Variations in the Nonlinear Stackelberg Oligopoly Model, Autom. Remote Control, 2020, vol. 81, no. 6, pp. 1051–1072.

    Article  MathSciNet  MATH  Google Scholar 

  26. Haraguchi, J. and Matsumura, T., Profit-Enhancing Entries in Mixed Oligopolies, Southern Econom. J., 2021, vol. 88, no. 1, pp. 33–55.

    Article  Google Scholar 

  27. Julien, L.A., On Noncooperative Oligopoly Equilibrium in the Multiple Leader–Follower Game, Eur. J. Oper. Res., 2017, vol. 256, no. 2, pp. 650–662.

    Article  MathSciNet  MATH  Google Scholar 

  28. Lin, M.H. and Matsumura, T., Optimal Privatisation Policy under Private Leadership in Mixed Oligopolies, Arthaniti–J. Econom. Theory and Practice, 2018, vol. 17, no. 1, pp. 1–14.

    Google Scholar 

  29. Lo, C.F. and Yeung, C.F., Quantum Stackelberg Oligopoly, Quant. Inform. Proc., 2022, vol. 21, no. 3, p. 85.

    Article  MathSciNet  MATH  Google Scholar 

  30. Mukherjee, A. and Zeng, C., Social Desirability of Entry in a Bilateral Oligopoly—The Implications of (Non)sunk Costs, Mat. Soc. Sci., 2022, vol. 118, pp. 12–19.

    Article  MathSciNet  MATH  Google Scholar 

  31. Ougolnitsky, G. and Gorbaneva, O., Sustainability of Intertwined Supply Networks: A Game-Theoretic Approach, Games, 2022, vol. 13, no. 3, p. 35.

    Article  MathSciNet  MATH  Google Scholar 

  32. Shuai, J., Yang, H., and Zhang, L., Dominant Firm and Competitive Bundling in Oligopoly Markets, Games Econom. Behavior, 2022, vol. 132, pp. 421–447.

    Article  MathSciNet  MATH  Google Scholar 

  33. Xiao, Y., Peng, Y., Lu, Q., and Wu, X., Chaotic Dynamics in Nonlinear Duopoly Stackelberg Game with Heterogeneous Players, Physica: Statist. Mechan. Appl., 2018, vol. 492, pp. 1980–1987.

    Article  MathSciNet  MATH  Google Scholar 

  34. Xiao, Y., Zhang, S., and Peng, Y., Dynamic Investigations in a Stackelberg Model with Differentiated Products and Bounded Rationality, J. Comput. Appl. Math., 2022, vol. 414, p. 114409.

    Article  MathSciNet  MATH  Google Scholar 

  35. Yoo, T.-H., Ko, W., Rhee, C.-H., and Park, J.-K., The Incentive Announcement Effect of Demand Response on Market Power Mitigation in the Electricity Market, Renewabl. Sustain. Energy Rev., 2017, vol. 76, pp. 545–554.

    Article  Google Scholar 

  36. Zhang, Y., When Should Firms Choose a Risky New Technology? An Oligopolistic Analysis, Econom. Model., 2020, vol. 91, pp. 687–693.

    Article  Google Scholar 

  37. Zhou, J., Mixed Bundling in Oligopoly Markets, J. Econom. Theory, 2021, vol. 194, p. 105257.

    Article  MathSciNet  MATH  Google Scholar 

  38. Zouhar, J. and Zouharova, M., Stackelberg versus Cournot Duopoly with Asymmetric Costs: Primary Markups, Entry Deterrence, and a Comparison of Social Welfare and Industry Profits, Econom. Theory Bullet., 2020, no. 8, pp. 89–96.

  39. Ougolnitsky, G.A. and Usov, A.B., The Interaction of Economic Agents in Cournot Duopoly Models with Environmental Conditions: Comparative Analysis of the Effectiveness of Organization Modes, Autom. Remote Control, in press.

  40. Filatov, A.Yu., The Heterogeneity of Firms Behavior at Oligopolistic Market: Price-makers and Pricetakers, Bullet. Irkutsk State Univ. Ser. Math., 2015, vol. 13, pp. 72–83.

  41. Askar, S.S., El-Wakeel, M.F., and Alrodaini, M.A., Exploration of Complex Dynamics for Cournot Oligopoly Game with Differentiated Products, Complexity, 2018, p. 6526794.

  42. Cornes, R., Fiorini, L.C., and Maldonado, W.L., Expectational Stability in Aggregative Games, J. Evolut. Econom., 2021, vol. 31, no. 1, pp. 235–249.

    Article  Google Scholar 

  43. Geras’kin, M.I. and Chkhartishvili, A.G., Structural Modeling of Oligopoly Market under the Nonlinear Functions of Demand and Agents’ Costs, Autom. Remote Control, 2017, vol. 78, no. 2, pp. 332–348.

    Article  MathSciNet  MATH  Google Scholar 

  44. Kanieski da Silva, B., Tanger, S., Marufuzzaman, M., and Cubbage, F., Perfect Assumptions in an Imperfect World: Managing Timberland in an Oligopoly Market, Forest Polic. Econom., 2022, vol. 137, p. 102691.

    Article  Google Scholar 

  45. Peng, Y., Xiao, Y., Lu, Q., Wu, X., and Zhao, Y., Chaotic Dynamics in Cournot Duopoly Model with Bounded Rationality Based on Relative Profit Delegation Maximization, Physica A: Statist. Mech. Appl., 2020, vol. 560, p. 125174.

    Article  MathSciNet  MATH  Google Scholar 

  46. Zhang, W.-B., Stackelberg–Nash Equilibrium and Perfect Competition in the Solow–Uzawa Growth Model, Lecturas de Economia, 2022, vol. 96, pp. 315–343.

    Article  Google Scholar 

  47. Zhou, X., Pei, Z., and Qin, B., Assessing Market Competition in the Chinese Banking Industry Based on a Conjectural Variation Model, China World Econom., 2021, vol. 29, no. 2, pp. 73–98.

    Article  Google Scholar 

  48. Fauli-Oller, R., Divisionalization with Asymmetric Production Costs, Math. Social Sci., 2022, vol. 118, pp. 22–29.

    Article  MathSciNet  MATH  Google Scholar 

  49. Kaicker, N., Dutta, G., and Mishra, A., Time-of-Use Pricing in the Electricity Markets: Mathematical Modelling Using Non-linear Market Demand, OPSEARCH, 2022, vol. 59, no. 3, pp. 1178–1213.

    Article  MathSciNet  MATH  Google Scholar 

  50. Kalashnikov, V.V., Bulavsky, V.A., and Kalashnykova, N.I., Existence of the Nash-Optimal Strategies in the Meta-game, Stud. Syst., Decision Control, 2018, vol. 100, pp. 95–100.

    Google Scholar 

  51. Kalashnykova, N., Kalashnikov, V., Watada, J., Anwar, T., and Lin, P., Consistent Conjectural Variations Equilibrium in a Mixed Oligopoly Model with a Labor-Managed Company and a Discontinuous Demand Function, IEEE Access, 2022, vol. 10, pp. 107799–107808.

    Article  Google Scholar 

  52. Raoufinia, M., Baradaran, V., and Shahrjerdi, R., A Dynamic Differential Oligopoly Game with Sticky Price and Advertising: Open-Loop and Closed-Loop Solutions, Kybernetes, 2019, vol. 48, no. 3, pp. 586–611.

    Article  Google Scholar 

  53. Novikov, D., Korepanov, V., and Chkhartishvili, A., Reflexion in Mathematical Models of Decision-Making, Int. J. Parallel, Emergent Distributed Syst., 2018, vol. 33, no. 3, pp. 319–335.

    Article  Google Scholar 

  54. Geraskin, M.I., Reflexive Analysis of Equilibria in a Triopoly Game with Linear Cost Functions of the Agents, Autom. Remote Control, 2022, vol. 83, no. 3, pp. 389–406.

    Article  MathSciNet  MATH  Google Scholar 

  55. Intriligator, M.D., Mathematical Optimization and Economic Theory, Englewood Cliffs: Prentice-Hall, 1971.

    MATH  Google Scholar 

  56. Korolev, A.V. and Ougolnitsky, G.A., Cooperative Game-Theoretic Models of the Cournot Oligopoly, Int. Game Theory Rev., 2022, p. 2350004.

  57. Sinitsa, S.A., Analysis of Trends in the Global Telecommunications Services Market, The Eurasian Scientific Journal, 2019, no. 1, p. 27ECVN119.

  58. Matheson, T. and Petit, P., Taxing Telecommunications in Developing Countries, Int. Tax Public Finance, 2021, vol. 28, no. 1, pp. 248–280.

    Article  Google Scholar 

  59. Gorbaneva, O.I. and Ougolnitsky, G.A., Game-Theoretic Analysis of the Interaction of Economic Agents in the Cournot Oligopoly, Taking into Account the Linear Structure, the “Green” Effect and Concern for Fairness, Mat. Teor. Igr Pril., 2023, vol. 15, no. 1, pp. 3–47.

    MathSciNet  MATH  Google Scholar 

  60. Ougolnitsky, G.A. and Usov, A.B., Differential Game-Theoretic Models of Cournot Oligopoly with Consideration of Green Effect, Games, 2023, vol. 14, no. 1, p. 14.

  61. Korolev, A.V., Kotova, M.A., and Ougolnitsky, G.A., Comparative Analysis of Effectiveness in Dynamic Cournot Oligopoly Models, Izv. Akad. Nauk. Teor. Sist. Upravlen., 2023, no. 1, pp. 82–105.

  62. Solow, R.M., A Contribution to the Theory of Economic Growth, Quar. J. Econom., 1956, vol. 70, pp. 65–94.

    Google Scholar 

  63. Gubanov, D.A., Novikov, D.A., and Chkhartishvili, A.G., Informational Influence and Information Control Models in Social Networks, Control Sciences, 2009, no. 5, pp. 28–35.

  64. Gubanov, D.A., Petrov, I.V., and Chkhartishvili, A.G., Multidimensional Model of Opinion Dynamics in Social Networks: Polarization Indices, Autom. Remote Control, 2021, vol. 82, no. 10, pp. 1802–1811.

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to M. I. Geraskin.

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This paper was recommended for publication by D.A. Novikov, a member of the Editorial Board

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Geraskin, M.I. A Survey of the Latest Advances in Oligopoly Games. Autom Remote Control 84, 565–578 (2023). https://doi.org/10.1134/S000511792306005X

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