Climate game analyses for CO2 emission trading among various world organizations

This paper simulates the saving in terms of the total abatement cost of CO2 emission reductions for different trading games reflecting the potential cooperation among organizations including the European Union (EU), the Asia-Pacific Economic Cooperation (APEC) countries, the Union of South American Nations (USAN), and the Indian Ocean Rim Association for Regional Cooperation (IOR-ARC). A game approach is conducted to determine if the cooperation will come into existence among the organizations stated above. A similar idea is applied to the four largest emission countries, China, the United States, Russia, and India, as four individual players in the trading game.

[1]  Warwick J. McKibbin,et al.  Journal of Economic Perspectives—Volume 16, Number 2—Spring 2002—Pages 107–129 The Role of Economics in Climate Change Policy , 2022 .

[2]  Michel G.J. den Elzen,et al.  Options for differentiation of future commitments in climate policy: how to realise timely participation to meet stringent climate goals? , 2001 .

[3]  R. Färe Derivation of Shadow Prices for Undesirable Outputs: A Distance Function Approach , 1993 .

[4]  Laurent Viguier,et al.  A proposal to increase developing country participation in international climate policy , 2004 .

[5]  C. Carraro,et al.  International Games on Climate Change Control , 1997 .

[6]  H. Schellnhuber,et al.  “Emission game”: some applications of the theory of games to the problem of CO2 emission , 1999 .

[7]  O. Godal,et al.  Permit Trading: Merely an Efficiency‐Neutral Redistribution Away from Climate‐Change Victims? , 2011 .

[8]  Peter John Wood,et al.  Climate change and game theory , 2011, Annals of the New York Academy of Sciences.

[9]  Aranyak Mehta,et al.  Playing large games using simple strategies , 2003, EC '03.

[10]  Johan Eyckmans,et al.  Efficiency and Equity in the EU Burden Sharing Agreement , 2002 .

[11]  Michael Hopkin,et al.  Emissions trading: The carbon game , 2004, Nature.

[12]  J. Dales,et al.  Pollution, Property and Prices , 1969 .

[13]  Arild Underdal,et al.  Burden Sharing and Fairness Principles in International Climate Policy , 2002 .

[14]  Dirk T. G. Rübbelke,et al.  Transitions in the negotiations on climate change: from prisoner’s dilemma to chicken and beyond , 2012, International Environmental Agreements: Politics, Law and Economics.

[15]  J. Goltz High Stakes in a Complex Game: A Snapshot of the Climate Change Negotiating Positions of Major Developing Country Emitters , 2009 .

[16]  Robert Chambers,et al.  Input and Output Indicators , 1998 .

[17]  J. Eyckmans,et al.  Moral Concerns on Tradable Pollution Permits in International Environmental Agreements , 2009 .

[18]  Zhang Shiqiu Gaming Analysis for Behaviors of the Enterprises Involving Emission Trading , 2005 .

[19]  Alain Haurie,et al.  A two-level dynamic game of carbon emission trading between Russia, China, and Annex B countries , 2008 .

[20]  Susan R Fletcher Global Climate Change: The Kyoto Protocol , 2005 .

[21]  Per-Olov Marklund,et al.  What is driving the EU Burden-sharing Agreement: efficiency or equity? , 2007, Journal of environmental management.

[22]  Rolf Färe,et al.  Productivity and Undesirable Outputs: A Directional Distance Function Approach , 1995 .

[23]  H. Jacobsen Integrating the bottom-up and top-down approach to energy–economy modelling: the case of Denmark , 1998 .

[24]  Farhana Yamin,et al.  The clean development mechanism: proposals for its operation and governance , 2000 .

[25]  Florian Jaehn,et al.  The emissions trading paradox , 2010, Eur. J. Oper. Res..

[26]  T. Lee Endogenous market structures in non-cooperative international emissions trading , 2011 .

[27]  J. Hovi,et al.  Regional versus global cooperation for climate control , 2006 .

[28]  Markus Berger,et al.  Carbon footprint of recycled biogenic products: the challenge of modelling CO2 removal credits , 2013 .

[29]  Henry Tulkens,et al.  The impact of the unilateral EU commitment on the stability of international climate agreements , 2010 .

[30]  David Carfì,et al.  A coopetitive model for the green economy , 2012 .

[31]  Je-Liang Liou,et al.  The meta-technology cost ratio: An indicator for judging the cost performance of CO2 reduction , 2013 .

[32]  D. Maradan,et al.  Marginal Costs of Carbon Dioxide Abatement: Empirical Evidence from Cross-Country Analysis , 2005 .

[33]  C. Carraro The Endogenous Formation of Economic Coalitions , 2003 .

[34]  Robert N. Stavins,et al.  Increasing Participation and Compliance in International Climate Change Agreements , 2002 .

[35]  Carlo Carraro,et al.  Emissions Trading Regimes and Incentives to Participate in International Climate Agreements , 2003 .

[36]  Jeong-Dong Lee,et al.  Estimation of the shadow prices of pollutants with production/environment inefficiency taken into account: a nonparametric directional distance function approach. , 2002, Journal of environmental management.

[37]  János Fülöp,et al.  Game theoretic models for climate change negotiations , 2005, Eur. J. Oper. Res..

[38]  William L. Weber,et al.  Shadow prices and pollution costs in U.S. agriculture , 2006 .

[39]  Alain Haurie,et al.  A Stochastic Dynamic Game of Carbon Emissions Trading , 2003 .

[40]  Jürgen Scheffran,et al.  Control and game-theoretic assessment of climate change: Options for Joint Implementation , 2000, Ann. Oper. Res..

[41]  Akira Okada,et al.  International Negotiations on Climate Change: A Non-cooperative Game Analysis of the Kyoto Protocol , 2004 .