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A characterisation of duopoly dynamics with frictions in production adjustments

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Abstract

This article revisits the classical work of Puu (Chaos Soliton Fract 1(6):573–581, 1991) on duopoly dynamics by gathering two distinct aspects of the functioning of markets: production of goods requires time and is subject to some gestation lags, but trading takes place continuously. Dynamics are characterized by a two-dimensional system of delay differential equations. The main aim of this work is to show that regular and non-regular fluctuations may emerge endogenously because of the existence of heterogeneous interacting agents that choose production over time in a myopic way. Chaotic dynamics in the discrete-time model of Puu (Chaos Soliton Fract 1(6):573–581, 1991) appear to be close enough to the origin of axes (implying that quantities produced by both firms are close to zero). In contrast, in our continuous-time version of the model with discrete delays, the dynamic system is more suitable of generating complex dynamics far enough from the origin when marginal costs vary. This is because of the role played by time delays and inertia. From a mathematical point of view, we show the existence of Hopf bifurcations and detect how time delays and inertia affect the stability of the system by using the recent techniques of stability crossing curves introduced by Gu et al. (J Math Anal Appl 311(1):231–253, 2005) and generalized by Lin and Wang (Can Appl Math Quart 20(4):519–533, 2012). The article also provides some findings about global bifurcations and chaotic dynamics by combining analytical studies and simulation exercises.

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Notes

  1. This approach is also used in other works with different assumptions about the degree of knowledge of economic agents (Bischi et al. 1998).

  2. Notice that we are assuming that the model does not include problems about inventories.

  3. The existence of delays and mismatch between choices and their achievements is recognized to be a central issue in management science (Harrison and Van Hoek 2008).

  4. We note that we are considering the simplifying assumption that changing the quantities produced do not cause endogenous adjustment costs for firms. However, a sufficiently large value of σ i (roughtly speaking, this implies that \(\dot {x}(t)\) is close to zero) describes a situation in which there are strong frictions in production adjustments. In this regard, it will be interesting to study models that incorporate non-constant adjustment costs. See Bertola and Caballero (1990) for a general treatment on this issue.

  5. The authors thank an anonymous reviewer for pointing this out.

References

  • Berezowski M (2001) Effect of delay time on the generation of chaos in continuous systems. One-dimensional model. Two-dimensional model-tubular chemical reactor with recycle. Chaos Soliton Fract 12(1):83–89

    Article  Google Scholar 

  • Bertola G, Caballero RJ (1990) Kinked adjustment costs and aggregate dynamics. NBER Macroecon Annu 5:237–296

    Article  Google Scholar 

  • Bischi GI, Cerboni Baiardi L (2015) A dynamic marketing model with best reply and inertia. Chaos Soliton Fract 79:145–156

    Article  Google Scholar 

  • Bischi GI, Stefanini L, Gardini L (1998) Synchronization, intermittency and critical curves in a duopoly game. Math Comput Simulat 44(6):559–585

    Article  Google Scholar 

  • Cánovas J S, Puu T, Ruíz M (2008) The Cournot–Theocharis problem reconsidered. Chaos Soliton Fract 37(4):1025–1039

    Article  Google Scholar 

  • Chen L, Chen F (2011) Dynamic behaviors of the periodic predator–prey system with distributed time delays and impulsive effect. Nonlinear Anal Real 12 (4):2467–2473

    Article  Google Scholar 

  • Chen S, Shi J (2013) Global attractivity of equilibrium in Gierer–Meinhardt system with activator production saturation and gene expression time delays. Nonlinear Anal Real 14(4):1871–1886

    Article  Google Scholar 

  • Gori L, Guerrini L, Sodini M (2015a) A continuous time Cournot duopoly with delays. Chaos Soliton Fract 79:166–177

    Article  Google Scholar 

  • Gori L, Guerrini L, Sodini M (2015b) Equilibrium and disequilibrium dynamics in cobweb models with time delays. Int J Bifurcat Chaos 25(6):1550088

    Article  Google Scholar 

  • Gori L, Guerrini L, Sodini M (2015c) Hopf bifurcation and stability crossing curves in a cobweb model with heterogeneous producers and time delays. Nonlinear Anal Hybrid Syst 18:117–133

    Article  Google Scholar 

  • Gu K, Niculescu S I, Chen J (2005) On stability crossing curves for general systems with two delays. J Math Anal Appl 311(1):231–253

    Article  Google Scholar 

  • Harrison A, Van Hoek R (2008) Logistics management and strategy. Competing through the supply chain, 3rd edn. Prentice Hall, Heidelberg

    Google Scholar 

  • Lampart M (2012) Stability of the Cournot equilibrium for a Cournot oligopoly model with n competitors. Chaos Soliton Fract 45(9-10):1081–1085

    Article  Google Scholar 

  • Lin X, Wang H (2012) Stability analysis of delay differential equations with two discrete delays. Can Appl Math Quart 20(4):519–533

    Google Scholar 

  • Matsumoto A, Szidarovszky F (2010a) Delay differential nonlinear economic models. In: Bischi GI, Chiarella C, Gardini L (eds) Nonlinear dynamics in economics, finance and the social sciences. Springer, Berlin, Heidelberg, pp 195–214

    Chapter  Google Scholar 

  • Matsumoto A, Szidarovszky F (2010b) Delayed dynamics in heterogeneous competition with product differentiation. Nonlinear Anal Real 11(2):601–611

    Article  Google Scholar 

  • Matsumoto A, Szidarovszky F (2014) Discrete and continuous dynamics in nonlinear monopolies. Appl Math Comput 232:632–642

    Google Scholar 

  • Matsumoto A, Szidarovszky F (2015) Nonlinear Cournot duopoly with implementation delays. Chaos Soliton Fract 79:157–165

    Article  Google Scholar 

  • Matsumoto A, Szidarovszky F, Yoshida H (2011) Dynamics in linear Cournot duopolies with two time delays. Comput Econ 38:311–327

    Article  Google Scholar 

  • Monica C, Pitchaimani M (2016) Analysis of stability and Hopf bifurcation for HIV-1 dynamics with PI and three intracellular delays. Nonlinear Anal Real 27:55–69

    Article  Google Scholar 

  • Onozaki T, Sieg G, Yokoo M (2003) Stability, chaos and multiple attractors: a single agent makes a difference. J Econ Dyn Control 27(10):1917–1938

    Article  Google Scholar 

  • Puu T (1991) Chaos in duopoly pricing. Chaos Soliton Fract 1(6):573–581

    Article  Google Scholar 

  • Puu T (1998) The chaotic duopolists revisited. J Econ Behav Organ 33 (3-4):385–394

    Article  Google Scholar 

  • Rand D (1978) Exotic phenomena in games and duopoly models. J Math Econ 5(2):173–184

    Article  Google Scholar 

Download references

Acknowledgements

The authors gratefully acknowledge Tönu Puu, Ferenc Szidarovszky and participants at NED 2015 held at Chuo University, Tokyo (Japan), and AMASES 2015 held at University of Padova, Italy, for insightful comments and suggestions on an earlier draft. The authors are also indebted to two anonymous reviewers for valuable comments that have contributed to improve the work. The usual disclaimer applies.

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Correspondence to Luca Guerrini.

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Gori, L., Guerrini, L. & Sodini, M. A characterisation of duopoly dynamics with frictions in production adjustments. J Evol Econ 27, 963–988 (2017). https://doi.org/10.1007/s00191-017-0515-7

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