Simulating Coalitionally Stable Burden Sharing Agreements for the Climate Change Problem

32 Pages Posted: 1 Nov 2001

See all articles by Johan Eyckmans

Johan Eyckmans

Catholic University of Leuven (KUL) - Center for Economic Studies

Henry Tulkens

Catholic University of Louvain - Center for Operations Research and Econometrics (CORE)

Date Written: September 2001

Abstract

In this paper we introduce the CLIMNEG World Simulation (CWS) model for simulating cooperative game theoretic aspects of global climate negotiations. The model is derived from the seminal RICE model by Nordhaus and Yang (1996). We first state the necessary conditions that determine optimal investment and emission abatement paths under alternative cooperation regimes, and then we test empirically with a numerical version of the CWS model whether the cooperative game theoretic "core" property of the transfer scheme advocated by Germain, Toint and Tulkens (1997) holds. Under this transfer scheme no individual country, nor any subset of countries, should have an interest in leaving the international environmental agreement. For the numerical specification of the CWS model used here, we obtain the result that this is indeed the case.

Keywords: Environmental economics, climate change, burden sharing, simulations, core of cooperative games

JEL Classification: C71, C73, D9, D62, F42, Q2

Suggested Citation

Eyckmans, Johan and Tulkens, Henry, Simulating Coalitionally Stable Burden Sharing Agreements for the Climate Change Problem (September 2001). Available at SSRN: https://ssrn.com/abstract=289088 or http://dx.doi.org/10.2139/ssrn.289088

Johan Eyckmans (Contact Author)

Catholic University of Leuven (KUL) - Center for Economic Studies ( email )

Naamsestraat 69
Leuven, B-3000
Belgium

Henry Tulkens

Catholic University of Louvain - Center for Operations Research and Econometrics (CORE) ( email )

34 Voie du Roman Pays
B-1348 Louvain-la-Neuve, b-1348
Belgium
+32 10 47 43 21 (Phone)
+32 10 47 43 01 (Fax)

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
192
Abstract Views
4,798
Rank
308,721
PlumX Metrics