American Institute of Mathematical Sciences

Advanced
November  2021, 26(11): 5755-5767. doi: 10.3934/dcdsb.2021179

Environmental degradation and indeterminacy of equilibrium selection

Angelo Antoci 1, , Marcello Galeotti 2,3, and  Mauro Sodini 4,5,,

1. 

Department of Economic and Business Sciences, University of Sassari, Sassari, Italy
2. 

Department of Statistics, Informatics and Applications, University of Florence, Italy
3. 

INdAM (National Institute of High Mathematics), Group of Analysis and Probability, Rome, Italy
4. 

Department of Law, University of Naples, Federico II, Naples, Italy
5. 

Department of Finance, Faculty of Economics, Technical University of Ostrava, Ostrava, Czech Republic

* Corresponding author: mauro.sodini@unipi.it

Received  December 2020 Revised  May 2021 Published  November 2021 Early access  August 2021

This paper analyzes an intertemporal optimization problem in which agents derive utility from three goods: leisure, a public environmental good and the consumption of a produced good. The global analysis of the dynamic system generated by the optimization problem shows that global indeterminacy may arise: given the initial values of the state variables, the economy may converge to different steady states, by choosing different initial values of the control variable.

Keywords: Economic growth model, environmental depletion, global analysis, global indeterminacy, poverty trap.
Mathematics Subject Classification: 34C60; 34C23; 49J15.
Citation: Angelo Antoci, Marcello Galeotti, Mauro Sodini. Environmental degradation and indeterminacy of equilibrium selection. Discrete and Continuous Dynamical Systems - B, 2021, 26 (11) : 5755-5767. doi: 10.3934/dcdsb.2021179
References:
[1]

A. Antoci, M. Galeotti and P. Russu, Poverty trap and global indeterminacy in a growth model with open-access natural resources, Journal of Economic Theory, 146 (2011), 569-591.  doi: 10.1016/j.jet.2010.12.003.

[2]

A. Antoci and S. Borghesi, Preserving or escaping? On the welfare effects of environmental self-protective choices, Journal of Socio-Economics, 41 (2012), 248-254. 

[3]

A. Antoci, L. Gori, M. Sodini and E. Ticci, Maladaptation and global indeterminacy, Environment and Development Economics, 24 (2019), 643-659. 

[4]

A. Antoci, S. Borghesi, M. Galeotti and P. Russu, Living in an uncertain world: Environment substitution, local and global indeterminacy, Journal of Economic Dynamics and Control, 126 (2021), 103929. doi: 10.1016/j.jedc.2020.103929.

[5]

G. Bella, P. Mattana and B. Venturi, Shilnikov chaos in the Lucas model of endogenous growth, Journal of Economic Theory, 172 (2017), 451-477.  doi: 10.1016/j.jet.2017.09.010.

[6]

G. Bella and P. Mattana, Global indeterminacy and equilibrium selection in a model with depletion of non-renewable resources, Decisions Economics Finance, 41 (2018), 187-202.  doi: 10.1007/s10203-018-0218-z.

[7]

J. Benhabib and R. E. Farmer, Indeterminacy and sunspots in macroeconomics, in Handbook of Macroeconomics, North-Holland, Amsterdam, (1999), 387–448.

[8]

A. Caravaggio and M. Sodini, Nonlinear dynamics in coevolution of economic and environmental systems, Frontiers in Applied Mathematics and Statistics, 4 (2018), 1-17. 

[9]

O. A. Carboni and P. Russu, Linear production function, externalities and indeterminacy in a capital-resource growth model, Journal of Mathematical Economics, 49 (2013), 422-428.  doi: 10.1016/j.jmateco.2013.04.002.

[10]

E. Fernández, R. Pérez and J. Ruiz, The environmental Kuznets curve and equilibrium indeterminacy, Journal of Economic Dynamics and Control, 36 (2012), 1700-1717.  doi: 10.1016/j.jedc.2012.05.004.

[11]

J. M. Hartwick, Intergenerational equity and the investing of rents from exhaustible resources, The American Economic Review, 67 (1977), 972-974. 

[12]

J. M. Hartwick, Substitution among exhaustible resources and intergenerational equity, The Review of Economic Studies, 45 (1978), 347-354.  doi: 10.2307/2297349.

[13]

P. Krugman, History versus expectations, Quarterly Journal of Economics, 106 (1991), 651-667. 

[14]

P. Mattana, K. Nishimura and T. Shigoka, Homoclinic bifurcation and global indeterminacy of equilibrium in a two-sector endogenous growth model, International Journal of Economic Theory, 5 (2009), 25-47. 

[15]

K. Mino, Growth and Business Cycles with Equilibrium Indeterminacy, Advances in Japanese Business and Economics, Springer, Tokyo Japan, 2017.

[16]

P. Russu, Mathematical analysis of an economic growth model with perfect-substitution technologies, Nonlinear Analysis: Modelling and Control, 25 (2020), 84-107.  doi: 10.15388/namc.2020.25.15733.

[17]

S. P. Sethi, Nearest feasible paths in optimal control problems: Theory, examples and counterexamples, Journal of Optimization Theory and Applications, 23 (1977), 563-579.  doi: 10.1007/BF00933297.

[18]

A. Skiba, Optimal growth with a convex-concave production function, Econometrica, 46 (1978), 527-540.  doi: 10.2307/1914229.

[19]

R. M. Solow, Intergenerational equity and exhaustible resources, Review of Economic Studies: Symposium of the Economics of Exhaustible Resources, (1974), 29–46.

[20]

R. M. Solow, On the intergenerational allocation of natural resources, Scandinavian Journal of Economics, 88 (1986), 141-9. 

[21]

R. M. Solow, An almost practical step towards sustainability, Resources Policy, 16 (1993), 162-72. 

[22]

F. Wirl, Stability and limit cycles in one-dimensional dynamic optimizations of competitive agents with a market externality, Journal of Evolutionary Economics, 7 (1997), 73-89. 

[23]

A. Yanase, Impatience, pollution, and indeterminacy, Journal of Economic Dynamics and Control, 35 (2011), 1789-1799.  doi: 10.1016/j.jedc.2011.06.010.

show all references

References:
[1]

A. Antoci, M. Galeotti and P. Russu, Poverty trap and global indeterminacy in a growth model with open-access natural resources, Journal of Economic Theory, 146 (2011), 569-591.  doi: 10.1016/j.jet.2010.12.003.

[2]

A. Antoci and S. Borghesi, Preserving or escaping? On the welfare effects of environmental self-protective choices, Journal of Socio-Economics, 41 (2012), 248-254. 

[3]

A. Antoci, L. Gori, M. Sodini and E. Ticci, Maladaptation and global indeterminacy, Environment and Development Economics, 24 (2019), 643-659. 

[4]

A. Antoci, S. Borghesi, M. Galeotti and P. Russu, Living in an uncertain world: Environment substitution, local and global indeterminacy, Journal of Economic Dynamics and Control, 126 (2021), 103929. doi: 10.1016/j.jedc.2020.103929.

[5]

G. Bella, P. Mattana and B. Venturi, Shilnikov chaos in the Lucas model of endogenous growth, Journal of Economic Theory, 172 (2017), 451-477.  doi: 10.1016/j.jet.2017.09.010.

[6]

G. Bella and P. Mattana, Global indeterminacy and equilibrium selection in a model with depletion of non-renewable resources, Decisions Economics Finance, 41 (2018), 187-202.  doi: 10.1007/s10203-018-0218-z.

[7]

J. Benhabib and R. E. Farmer, Indeterminacy and sunspots in macroeconomics, in Handbook of Macroeconomics, North-Holland, Amsterdam, (1999), 387–448.

[8]

A. Caravaggio and M. Sodini, Nonlinear dynamics in coevolution of economic and environmental systems, Frontiers in Applied Mathematics and Statistics, 4 (2018), 1-17. 

[9]

O. A. Carboni and P. Russu, Linear production function, externalities and indeterminacy in a capital-resource growth model, Journal of Mathematical Economics, 49 (2013), 422-428.  doi: 10.1016/j.jmateco.2013.04.002.

[10]

E. Fernández, R. Pérez and J. Ruiz, The environmental Kuznets curve and equilibrium indeterminacy, Journal of Economic Dynamics and Control, 36 (2012), 1700-1717.  doi: 10.1016/j.jedc.2012.05.004.

[11]

J. M. Hartwick, Intergenerational equity and the investing of rents from exhaustible resources, The American Economic Review, 67 (1977), 972-974. 

[12]

J. M. Hartwick, Substitution among exhaustible resources and intergenerational equity, The Review of Economic Studies, 45 (1978), 347-354.  doi: 10.2307/2297349.

[13]

P. Krugman, History versus expectations, Quarterly Journal of Economics, 106 (1991), 651-667. 

[14]

P. Mattana, K. Nishimura and T. Shigoka, Homoclinic bifurcation and global indeterminacy of equilibrium in a two-sector endogenous growth model, International Journal of Economic Theory, 5 (2009), 25-47. 

[15]

K. Mino, Growth and Business Cycles with Equilibrium Indeterminacy, Advances in Japanese Business and Economics, Springer, Tokyo Japan, 2017.

[16]

P. Russu, Mathematical analysis of an economic growth model with perfect-substitution technologies, Nonlinear Analysis: Modelling and Control, 25 (2020), 84-107.  doi: 10.15388/namc.2020.25.15733.

[17]

S. P. Sethi, Nearest feasible paths in optimal control problems: Theory, examples and counterexamples, Journal of Optimization Theory and Applications, 23 (1977), 563-579.  doi: 10.1007/BF00933297.

[18]

A. Skiba, Optimal growth with a convex-concave production function, Econometrica, 46 (1978), 527-540.  doi: 10.2307/1914229.

[19]

R. M. Solow, Intergenerational equity and exhaustible resources, Review of Economic Studies: Symposium of the Economics of Exhaustible Resources, (1974), 29–46.

[20]

R. M. Solow, On the intergenerational allocation of natural resources, Scandinavian Journal of Economics, 88 (1986), 141-9. 

[21]

R. M. Solow, An almost practical step towards sustainability, Resources Policy, 16 (1993), 162-72. 

[22]

F. Wirl, Stability and limit cycles in one-dimensional dynamic optimizations of competitive agents with a market externality, Journal of Evolutionary Economics, 7 (1997), 73-89. 

[23]

A. Yanase, Impatience, pollution, and indeterminacy, Journal of Economic Dynamics and Control, 35 (2011), 1789-1799.  doi: 10.1016/j.jedc.2011.06.010.

Figure 1.  Global indeterminacy scenario. Parameter values: $ \overline{E} = 1.3 $; $ \alpha = 0.3 $, $ \beta = 24.84 $, $ \gamma = 1.3 $, $ \delta = 1.06, $ $ \varepsilon = 0.4, $ $ \rho = 0.04 $. Initial values of the state variables $ E(0) = 1.04025820702807; $ $ K(0) = 5.99124478008392 $. For $ L(0) = 0.425697415099600 $ the trajectory evolves on the stable manifold of $ P_{2} $ converging to the saddle $ P_{2} $. For a larger value of $ L(0) $ (in figure $ L(0) = 0.681115864159360 $) trajectories converge to the sink $ P_{1} $. For lower values of $ L(0) $ (in figure $ L(0) = 0.383127673589640 $) trajectories reach the plane $ K = 0 $ in finite time. The dashed curve shows the branch of the unstable manifold of $ P_{2} $ converging to the sink $ P_{1} $.
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 2.  Hopf bifurcation and global indeterminacy. The parameter values are the same as in the previous figure except for $ \delta = 1.035. $ Trajectories converging to the limit cycle $ \Gamma $ surrounding $ P_{1} $ coexist with trajectories on the stable manifold of the saddle $ P_{2} $. Initial values of the state variables for the trajectories in figure are $ E(0) = 2.20617886672602, $ $ K(0) = 5.35230152562421 $. The red trajectory converging to the saddle $ P_{2} $ starts with $ L(0) = 0.605972067919661 $, the one converging to $ \Gamma $ with $ L(0) = 0.666569274711627 $.
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 3.  Evolution of the attractor of the system. The parameter values are the same as in the previous figures except for $ \delta $. Starting from $ \delta = \delta_{1}>1.0374 $ for which $ P_{1} = \left( 6.225232325,0.3491884150,0.35\right) $ is a sink (coordinates of the stationary states are independent of $ \delta $), if we let $ \delta $ decrease, $ P_{1} $ undergoes a supercritical Hopf bifurcation ($ \delta\simeq1.0374 $). Letting $ \delta $ decrease further we observe an expansion of the attractive limit cycle surrounding $ P_{1} $. The labels near the closed curves indicate the values of $ \delta $ in the simulation: $ \delta_{2} = 1.035, $ $ \delta _{3} = 1.03, $ $ \delta_{4} = 1.028, $ $ \delta_{5} = 1.027 $.
Figure Options

Download full-size image

Download as PowerPoint slide

Figure 4.  Case $ \delta<1. $ The parameter values are the same as in the previous figures except for $ \delta = 0.95 $.No attractor exists$ . $ The phasespace is projected on the plane $ K,E $. Three trajectories are depicted starting from the same initial values of the state variables $ K, $ $ E $ ($ K(0) = $ $ 11.8279 $, $ E(0) = 0.6949 $), but with different initial values of the jumping variable $ L. $ The dashed one reaches (in finite time) the plane $ K = 0 $ ($ L(0) = L_{1} = 0.2800 $); the dash-dot one reaches (in finite time) the plane $ E = 0 $ ($ L(0) = L_{2} = 0.4550 $); the solid one tends (in infinite time) to the saddle point $ P_{2} $ ($ L(0) = L_{3} = 0.3585 $).
Figure Options

Download full-size image

Download as PowerPoint slide

[1]

Giorgio Calcagnini, Edgar J. Sanchez Carrera, Giuseppe Travaglini. Real option value and poverty trap. Journal of Dynamics and Games, 2020, 7 (4) : 317-333. doi: 10.3934/jdg.2020025
[2]

M. Dolfin, D. Knopoff, L. Leonida, D. Maimone Ansaldo Patti. Escaping the trap of 'blocking': A kinetic model linking economic development and political competition. Kinetic and Related Models, 2017, 10 (2) : 423-443. doi: 10.3934/krm.2017016
[3]

Xiong Li, Hao Wang. A stoichiometrically derived algal growth model and its global analysis. Mathematical Biosciences & Engineering, 2010, 7 (4) : 825-836. doi: 10.3934/mbe.2010.7.825
[4]

E. Trofimchuk, Sergei Trofimchuk. Global stability in a regulated logistic growth model. Discrete and Continuous Dynamical Systems - B, 2005, 5 (2) : 461-468. doi: 10.3934/dcdsb.2005.5.461
[5]

Luis C. Corchón. A Malthus-Swan-Solow model of economic growth. Journal of Dynamics and Games, 2016, 3 (3) : 225-230. doi: 10.3934/jdg.2016012
[6]

Ellina Grigorieva, Evgenii Khailov. Optimal control of a nonlinear model of economic growth. Conference Publications, 2007, 2007 (Special) : 456-466. doi: 10.3934/proc.2007.2007.456
[7]

Wisdom S. Avusuglo, Kenzu Abdella, Wenying Feng. Stability analysis on an economic epidemiological model with vaccination. Mathematical Biosciences & Engineering, 2017, 14 (4) : 975-999. doi: 10.3934/mbe.2017051
[8]

Gülden Gün Polat, Teoman Özer. On group analysis of optimal control problems in economic growth models. Discrete and Continuous Dynamical Systems - S, 2020, 13 (10) : 2853-2876. doi: 10.3934/dcdss.2020215
[9]

Tao Feng, Zhipeng Qiu. Global analysis of a stochastic TB model with vaccination and treatment. Discrete and Continuous Dynamical Systems - B, 2019, 24 (6) : 2923-2939. doi: 10.3934/dcdsb.2018292
[10]

Mohamed Dellal, Bachir Bar. Global analysis of a model of competition in the chemostat with internal inhibitor. Discrete and Continuous Dynamical Systems - B, 2021, 26 (2) : 1129-1148. doi: 10.3934/dcdsb.2020156
[11]

Kentarou Fujie. Global asymptotic stability in a chemotaxis-growth model for tumor invasion. Discrete and Continuous Dynamical Systems - S, 2020, 13 (2) : 203-209. doi: 10.3934/dcdss.2020011
[12]

Sainan Wu, Junping Shi, Boying Wu. Global existence of solutions to an attraction-repulsion chemotaxis model with growth. Communications on Pure and Applied Analysis, 2017, 16 (3) : 1037-1058. doi: 10.3934/cpaa.2017050
[13]

Youssef Amal, Martin Campos Pinto. Global solutions for an age-dependent model of nucleation, growth and ageing with hysteresis. Discrete and Continuous Dynamical Systems - B, 2010, 13 (3) : 517-535. doi: 10.3934/dcdsb.2010.13.517
[14]

Qian Zhao, Bin Liu. Global generalized solutions to the forager-exploiter model with logistic growth. Discrete and Continuous Dynamical Systems - B, 2021  doi: 10.3934/dcdsb.2021273
[15]

Luis C. Corchón. Corrigendum to "A Malthus-Swan-Solow model of economic growth". Journal of Dynamics and Games, 2018, 5 (2) : 187-187. doi: 10.3934/jdg.2018011
[16]

Fengqi Yi, Hua Zhang, Alhaji Cherif, Wenying Zhang. Spatiotemporal patterns of a homogeneous diffusive system modeling hair growth: Global asymptotic behavior and multiple bifurcation analysis. Communications on Pure and Applied Analysis, 2014, 13 (1) : 347-369. doi: 10.3934/cpaa.2014.13.347
[17]

Jinliang Wang, Hongying Shu. Global analysis on a class of multi-group SEIR model with latency and relapse. Mathematical Biosciences & Engineering, 2016, 13 (1) : 209-225. doi: 10.3934/mbe.2016.13.209
[18]

Konstantina Trivisa. Global existence and asymptotic analysis of solutions to a model for the dynamic combustion of compressible fluids. Conference Publications, 2003, 2003 (Special) : 852-863. doi: 10.3934/proc.2003.2003.852
[19]

Jianquan Li, Yanni Xiao, Yali Yang. Global analysis of a simple parasite-host model with homoclinic orbits. Mathematical Biosciences & Engineering, 2012, 9 (4) : 767-784. doi: 10.3934/mbe.2012.9.767
[20]

Fang Liu, Zhen Jin, Cai-Yun Wang. Global analysis of SIRI knowledge dissemination model with recalling rate. Discrete and Continuous Dynamical Systems - S, 2020, 13 (11) : 3099-3114. doi: 10.3934/dcdss.2020116

2021 Impact Factor: 1.497

Tools

Metrics

  • PDF downloads (145)
  • HTML views (138)
  • Cited by (0)

Other articles
by authors

[Back to Top]

Copyright © 2022 American Institute of Mathematical Sciences | Privacy Policy