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The benefits of international cooperation under climate uncertainty: a dynamic game analysis

Published online by Cambridge University Press:  10 April 2018

Xiao-Bing Zhang*
Affiliation:
School of Economics, Renmin University of China, Beijing, China
Magnus Hennlock
Affiliation:
IVL Swedish Environmental Research Institute, Gothenburg, Sweden Department of Economics and StatisticsUniversity of Gothenburg, Gothenburg, Sweden
*
*Corresponding author. E-mail: [email protected]

Abstract

This paper investigates the benefits of international cooperation under uncertainty about global warming through a stochastic dynamic game. We analyze the benefits of cooperation both for the case of symmetric and asymmetric players. It is shown that the players’ combined expected payoffs decrease as climate uncertainty becomes larger, whether or not they cooperate. However, the benefits from cooperation increase with climate uncertainty. In other words, it is more important to cooperate when facing higher uncertainty. At the same time, more transfers will be needed to ensure stable cooperation among asymmetric players.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2018 

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References

Bahn, O, Haurie, A and Malhamé, R (2008) A stochastic control model for optimal timing of climate policies. Automatica 44 (6), 15451558.Google Scholar
Barrett, S (1994) Self-enforcing international environmental agreements. Oxford Economic Papers 46, 878894.CrossRefGoogle Scholar
Barrett, S and Dannenberg, A (2012) Climate negotiations under scientific uncertainty. PNAS 109 (43), 1737217376.Google Scholar
Battaglini, M and Harstad, B (2016) Participation and duration of environmental agreements. Journal of Political Economy 124, 160204.Google Scholar
Bréchet, T, Thénié, J, Zeimes, T and Zuber, S (2012) The benefits of cooperation under uncertainty: the case of climate change. Environmental Modeling and Assessment 17 (1–2), 149162.Google Scholar
Conrad, JM (1997) Global warming: when to bite the bullet. Land Economics 73, 164173.Google Scholar
Dalton, MG (1997) The welfare bias from omitting climatic variability in economic studies of global warming. Journal of Environmental Economics and Management 33, 221239.CrossRefGoogle Scholar
Dockner, EJ and Long, NV (1993) International pollution control: cooperative versus non-cooperative strategies. Journal of Environmental Economics and Management 24, 1329.Google Scholar
Dockner, EJ et al. (2000) Differential Games in Economics and Management Science. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Finus, M and Pintassilgo, P (2013) The role of uncertainty and learning for the success of international climate agreements. Journal of Public Economics 103, 2943.CrossRefGoogle Scholar
Harstad, B (2016) The dynamics of climate agreements. Journal of the European Economic Association 14, 719752.CrossRefGoogle Scholar
Hoel, M (1993) Intertemporal properties of an international carbon tax. Resource and Energy Economics 15, 5170.Google Scholar
Hoel, M and Karp, L (2001) Taxes and quotas for a stock pollutant with multiplicative uncertainty. Journal of Public Economics 82, 91114.Google Scholar
Hoel, M and Karp, L (2002) Taxes versus quotas for a stock pollutant. Resource and Energy Economics 24 (4), 367384.Google Scholar
IPCC (2013) Working group I contribution to the fifth assessment report of the intergovernmental panel on climate change. In Stocker, TF, Qin, D, Plattner, G-K, Tignor, M, Allen, SK, Boschung, J, Nauels, A, Xia, Y, Bex, V and Midgley, PM (eds), Climate Change 2013: The Physical Science Basis. Cambridge, UK and New York, NY: Cambridge University Press.Google Scholar
Karp, L (2012) The effect of learning on membership and welfare in an International Environmental Agreement. Climatic Change 110 (3–4), 499505.Google Scholar
Kelly, DL and Kolstad, CD (1999) Bayesian learning, growth, and pollution. Journal of Economic Dynamics and Control 23, 491518.CrossRefGoogle Scholar
Kolstad, CD (1996) Learning and stock effects in environmental regulation: the case of greenhouse gas emissions. Journal of Environmental Economics and Management 31, 221239.CrossRefGoogle Scholar
Kolstad, CD (2007) Systematic uncertainty in self-enforcing international environmental agreements. Journal of Environmental Economics and Management 53 (1), 6879.CrossRefGoogle Scholar
Kolstad, CD and Ulph, A (2008) Learning and International Environmental Agreements. Climatic Change 89 (1–2), 125141.Google Scholar
Kolstad, CD and Ulph, A (2011) Uncertainty, learning and heterogeneity in International Environmental Agreements. Environmental and Resource Economics 50 (3), 389403.Google Scholar
List, JA and Mason, CF (2001) Optimal institutional arrangements for transboundary pollutants in a second-best world: evidence from a differential game with asymmetric players. Journal of Environmental Economics and Management 42 (3), 277296.Google Scholar
Long, NV (2010) A Survey of Dynamic Games in Economics. Singapore: World Scientific Publishing.Google Scholar
Newell, RG and Pizer, WA (2003) Regulating stock externality regulation under uncertainty. Journal of Environmental Economics and Management 45 (2), 416432.Google Scholar
Peck, SC and Teisberg, TJ (1993) Global warming uncertainties and the value of information: an analysis using CETA. Resource and Energy Economics 14, 7197.Google Scholar
Petrosyan, LA (1997) Agreeable solutions in differential games. International Journal of Mathematics, Game Theory and Algebra 7, 65177.Google Scholar
Pindyck, RS (2000) Irreversibilities and the timing of environmental policy. Resource and Energy Economics 22, 223259.CrossRefGoogle Scholar
Pindyck, RS (2002) Optimal timing problems in environmental economics. Journal of Economic Dynamics and Control 26, 16771697.Google Scholar
Pizer, WA (1999) Optimal choice of policy instrument and stringency under uncertainty: the case of climate change. Resource and Energy Economics 21, 255287.Google Scholar
Pizer, WA (2002) Combining price and quantity controls to mitigate global climate change. Journal of Public Economics 85, 409434.Google Scholar
Wirl, F (1996) Can Leviathan governments mitigate the tragedy of the commons? Public Choice 87, 379393.Google Scholar
Wirl, F (2007) Energy prices and carbon taxes under uncertainty about global warming. Environmental and Resource Economics 36, 313340.Google Scholar
Wirl, F (2008) Tragedy of the commons in a stochastic game of a stock externality. Journal of Public Economic Theory 10 (1), 99124.Google Scholar
Xepapadeas, A (1998) Policy adoption rules and global warming. Environmental and Resource Economics 11 (3–4), 635646.Google Scholar
Xepapadeas, A (2012) The cost of ambiguity and robustness in international pollution control. In Hahn, RW and Ulph, A (eds), Climate Change and Common Sense: Essays in Honour of Tom Schelling. Oxford, UK: Oxford University Press, pp. 7597.Google Scholar
Yeung, DWK and Petrosyan, LA (2004) Subgame consistent cooperative solutions in stochastic differential games. Journal of Optimization Theory and Applications 120 (3), 651666.Google Scholar
Yeung, DWK and Petrosyan, LA (2006) Cooperative Stochastic Differential Games. New York: Springer, pp. 121139.Google Scholar
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