Skip to main content
Log in

Dynamics and chaos control of a duopolistic Bertrand competitions under environmental taxes

  • Original Research
  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

This paper investigates the difference between price and quantity competition in a mixed duopoly game. We describe the behavior of a duopolistic Bertrand competition market with environmental taxes. There are two cases. In the first, the public firm is privatized and in the second, it is not privatized. In case I, private duopoly (postprivatization) where players use different production methods and choose their prices with (bounded rationality and naive). In case II, mixed duopoly (preprivatization) in this case there are two levels for the market including standard objective of the private firm is to maximize profits and including another objective function of the public firm namely “private welfare maximization”. We study numerically the dynamical behaviors of the models. The Nash equilibrium loses stability through a period-doubling bifurcation and the market in the end gets to be disordered. The disordered behavior of the market has been controlled by using feedback control method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20

Similar content being viewed by others

Notes

  1. We mention here, the second order condition for the optimal environmental tax in the stage of p–p game \(\frac{\partial \tau ^{ pp }}{\partial d}=\frac{ 8(1+d)^{2}\left( A-1\right) (9d^{2}+29d+23)}{\left( 18d^{2}+47d+31\right) ^{2}}\ge 0\), since \(d^{2}\ge \frac{29d+23}{-\,9}.\)

  2. We mention here, the second order condition for the optimal environmental tax in the stage of q–q game \(\frac{\partial \tau ^{ qq }}{\partial d}=\frac{ 3\left( A-1\right) (d^{2}-14d-11)}{\left( d^{2}+6d-31\right) ^{2}}\ge 0,\) since \(d^{2}\ge 14d+11.\)

References

  • Ahmed, E., Elsadany, A. A., & Puu, T. (2015). On Bertrand duopoly game with differentiated goods. Applied Mathematics and Computations, 251, 169–179.

    Article  Google Scholar 

  • Ahmed, E., Hegazi, A. S., & Abd El-Hafez, A. T. (2003). On multiobjective oligopoly. Nonlinear Dynamics, Psychology, and Life Sciences, 7(2), 205–219.

    Article  Google Scholar 

  • Beladi, H., & Chao, C. C. (2006). Does privatization improve the environment? Economics Letters, 93, 343–347.

    Article  Google Scholar 

  • Bertrand, J. (1883). Thorie mathmatique de la richesse sociale. Journal des Savants, 48, 499–508.

    Google Scholar 

  • Bhattacharjee, T., & Pal, R. (2013). Price vs. quantity in duopoly with strategic delegation: Role of network externalitie. Mumbai: Indira Gandhi Institute of Development Research. http://www.igidr.ac.in/pdf/publication/WP-2013-010.pdf.

  • Brcena-Ruiz, J. C., & Sedano, M. (2011). Endogenous timing in a mixed duopoly: Weighted welfare and price competition. The Japanese Economic Review, 62, 485–503.

    Article  Google Scholar 

  • Carraro, C., & Soubeyaran, A. (1996). Environmental taxation, market share, and profits in oligopoly. In C. Carraro, Y. Katsoulacos, A. Xepapadeas (Eds.), Environmental policy and market structure (pp. 23–44).

  • Chen, F., Ma, J. H., & Chen, X. Q. (2009). The study of dynamic process of the triopoly games in chinese 3G telecommunication market. Chaos, Solitons and Fractals, 42, 1542–1551.

    Article  Google Scholar 

  • Cournot, A. (1838). Rcherches sur les principes mathmatiques de la thorie des richesses. Paris: Dunod.

    Google Scholar 

  • Dixit, A. K. (1979). A model of duopoly suggesting a theory of entry barriers. Bell Journal Economics, 10, 20–32.

    Article  Google Scholar 

  • D-Teleszynski, T. (2010). Complex dynamics in a Bertrand duopoly game with heterogeneous players. Central European Journal of Economic Modelling and Econometrics, 2, 95–116.

    Google Scholar 

  • Elabbasy, E. M., Agiza, H. N., EL-Metwally, H., & Elsadany, A. A. (2007). Bifurcation analysis, chaos and control in the Burgers mapping. International Journal of Nonlinear Science, 4, 171–185.

    Google Scholar 

  • Elabbasy, E. M., Agiza, H. N., Elsadany, A. A., & EL-Metwally, H. (2007). The dynamics of triopoly game with heterogeneous players. International Journal of Nonlinear Science, 3, 83–90.

    Google Scholar 

  • Elsadany, A. A. (2012). Competition analysis of a triopoly game with bounded rationality. Chaos, Solitons & Fractals, 45, 1343–1348.

    Article  Google Scholar 

  • Elsadany, A. A. (2015). A dynamic Cournot duopoly model with different strategies. Journal of the Egyptian Mathematical Society, 23, 56–61.

    Article  Google Scholar 

  • Elsadany, A. A., Agiza, H. N., & Elabbasy, E. M. (2013). Complex dynamics and chaos control of heterogeneous quadropoly game. Applied Mathematics and Computation, 219, 11110–11118.

    Article  Google Scholar 

  • Fanti, L., Gori, L., Mammana, C., & Michetti, E. (2013). The dynamics of a Bertrand duopoly with differentiated products: Synchronization, intermittency and global dynamics. Chaos, Solitons & Fractals, 52, 73–86.

    Article  Google Scholar 

  • Ghosh, A., & Mitra, M. (2010). Comparing Bertrand and Cournot in mixed markets. Economic Letters, 109, 72–74.

    Article  Google Scholar 

  • Hu, R., & Xia, H-s. (2011). Chaotic dynamics in differentiated Bertrand model with heterogeneous players. In Grey systems and intelligent services (GSIS), IEEE international conference (pp. 675–678).

  • Jury, E. I., & Blanchard, J. (1961). A stability test for linear discrete systems in table form. Proceedings of the Institute of Radio Engineers, 49, 1947–1948.

    Google Scholar 

  • Kangsik, C. (2012). Cournot and Bertrand competition with asymmetric costs in a mixed duopoly revisited. http://mpra.ub.uni-muenchen.de/37704/. MPRA Paper No. 37704, posted 28. March 2012 12:29 UTC.

  • Kopel, M. (2014). Price and quantity contracts in a mixed duopoly with a socially concerned firm. Managerial and Decision Economics. https://doi.org/10.1002/mde.2707.

  • Liu, J., Liu, G., Li, N. & Xu, H. (2014). Dynamics analysis of game and chaotic control in the Chinese fixed broadband telecom market. Discrete Dynamics in Nature and Society, vol. 2014, Article ID 275123, 8 pages.

  • Ma, J., Zhang, F., & He, Y. (2014). Complexity analysis of a master-slave oligopoly model and chaos control. Abstract and Applied Analysis, vol. 2014, Article ID 970205, 13 pages.

  • Nakamura, Y. (2014). Social welfare under quantity competition and price competition in a mixed duopoly with network effects: An analysis. Theoretical Economics Letters, 4, 133–138.

    Article  Google Scholar 

  • Ohori, S. (2013). Price and quantity competition in a mixed duopoly with emission tax. Theoretical Economics Letters, 3, 211–215.

    Article  Google Scholar 

  • Pu, X., & Ma, J. (2013). Complex dynamics and chaos control in nonlinear four-oligopolist game with different expectations. International Journal of Bifurcation and Chaos, 23, 1350053. (15 pages) .

    Article  Google Scholar 

  • Pyrages, K. (1992). Continuous control of chaos by self-controlling feedback. Physics Letters A, 170, 421–4281.

    Article  Google Scholar 

  • Singh, N., & Vives, X. (1984). Price and quantity competition in a differentiated duopoly. The Rand Journal Economics, 15, 546–554.

    Article  Google Scholar 

  • Sun, L., & Ma, J. (2015). Study and simulation on discrete dynamics of Bertrand triopoly team-game. Mathematical Problems in Engineering, vol. 2015, Article ID 960380, 12 pages.

  • Wang, H., & Ma, J. (2013). Complexity analysis of a Cournot–Bertrand duopoly game model with limited information. Discrete Dynamics in Nature and Society, vol. 2013, Article ID 287371, 6 pages.

  • Wang, L. F. S., & Wang, J. (2009). Environmental taxes in a differentiated mixed duopoly. Economic Systems, 33, 389–396.

    Article  Google Scholar 

  • Wang, T., Wang, X., & Wang, M. (2011). Chaotic control of Hénon map with feedback and nonfeedback methods. Communications in Nonlinear Science and Numerical Simulation, 16, 3367–3374.

    Article  Google Scholar 

  • Wu, F., & Ma, J. (2014). The stability, bifurcation and chaos of a duopoly game in the market of complementary products with mixed bundling pricing. Wseas Transactions on Mathematics, 13, 374–384.

    Google Scholar 

  • Wu, F., & Ma, J. (2015). The complex dynamics of a multi-product mixed duopoly model with partial privatization and cross-ownerships. Nonlinear Dynamics, 80, 1391–1401.

    Article  Google Scholar 

  • Xin, B., & Li, Y. (2013). Bifurcation and chaos in a price game of irrigation water in a coastal irrigation district. Discrete Dynamics in Nature and Society, vol. 2013, Article ID 408904, 10 pages.

  • Yali, L. (2015). Analysis of duopoly output game with different decision-making rules. Management Science and Engineering, 9, 19–24.

    Google Scholar 

  • Zhang, J., Da, Q., & Wang, Y. (2007). Analysis of nonlinear duopoly game with heterogeneous players. Economic Modelling, 24, 138–148.

    Article  Google Scholar 

  • Zhang, J., & Wang, Y. (2013). Complex dynamics of Bertrand duopoly games with bounded rationality. International Journal of Social, Education, Economics and Management Engineering, 7, 795–799.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. A. Elsadany.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Elsadany, A.A., Awad, A.M. Dynamics and chaos control of a duopolistic Bertrand competitions under environmental taxes. Ann Oper Res 274, 211–240 (2019). https://doi.org/10.1007/s10479-018-2837-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-018-2837-8

Keywords

Navigation