Gas Trading with Tariff Versus Sanction ...
Type de document :
Communication dans un congrès avec actes
Titre :
Gas Trading with Tariff Versus Sanction as a Networked Game
Auteur(s) :
Pokou, Fredy [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Fochesato, Marta [Auteur]
Le Cadre, Hélène [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Integrated Optimization with Complex Structure [INOCS]
Fochesato, Marta [Auteur]
Le Cadre, Hélène [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Titre de la manifestation scientifique :
33rd EURO Conference
Organisateur(s) de la manifestation scientifique :
Technical University of Denmark (DTU)
Ville :
Copenhagen
Pays :
Danemark
Date de début de la manifestation scientifique :
2024-06-30
Date de publication :
2024-03-01
Discipline(s) HAL :
Mathématiques [math]/Optimisation et contrôle [math.OC]
Résumé en anglais : [en]
The economies of many geographic markets are dependent on fossil fuels, e.g., gas. Due togeopolitical tensions, some geographic markets may decide to partially or totally halt their gastrades. We therefore propose a model ...
Lire la suite >The economies of many geographic markets are dependent on fossil fuels, e.g., gas. Due togeopolitical tensions, some geographic markets may decide to partially or totally halt their gastrades. We therefore propose a model which casts the optimal taxation problem as a networkedgame in two settings: a) perfect competition, where a global market operator is responsible foradjusting the export prices, leading to a partial equilibrium; b) a variational approach, wherethe export prices are determined endogenously as dual variables of the supply-demand balances.Our model is built on an agent based representation of suppliers and generators interacting in acertain number of geographic markets. We aim to assess the impact of tariffs or sanctions on thegeographic markets’ imports of gas and on their utility. To that purpose, the optimal taxationproblem is framed as a Stackelberg game where a regulator at the upper level is responsible forthe sanction definition considering different criteria, while the geographic market at the lowerlevel reacts by adjusting their exports and trade prices. We derived closed-form expressions forthe export prices, and proved that the Stackelberg equilibria can be explicitely mapped to theperfect competition equilibria. Finally, considering a degree of bounded rationality on the part ofstakeholders, we rely on Prospect Theory to extend the optimal taxation games to in situationsinvolving risks linked to the behavior of other market stakeholders.Lire moins >
Lire la suite >The economies of many geographic markets are dependent on fossil fuels, e.g., gas. Due togeopolitical tensions, some geographic markets may decide to partially or totally halt their gastrades. We therefore propose a model which casts the optimal taxation problem as a networkedgame in two settings: a) perfect competition, where a global market operator is responsible foradjusting the export prices, leading to a partial equilibrium; b) a variational approach, wherethe export prices are determined endogenously as dual variables of the supply-demand balances.Our model is built on an agent based representation of suppliers and generators interacting in acertain number of geographic markets. We aim to assess the impact of tariffs or sanctions on thegeographic markets’ imports of gas and on their utility. To that purpose, the optimal taxationproblem is framed as a Stackelberg game where a regulator at the upper level is responsible forthe sanction definition considering different criteria, while the geographic market at the lowerlevel reacts by adjusting their exports and trade prices. We derived closed-form expressions forthe export prices, and proved that the Stackelberg equilibria can be explicitely mapped to theperfect competition equilibria. Finally, considering a degree of bounded rationality on the part ofstakeholders, we rely on Prospect Theory to extend the optimal taxation games to in situationsinvolving risks linked to the behavior of other market stakeholders.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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