Propagation of carbon price shocks through the value chain: the mean-field game of defaults
Zorana Grbac, Simone Pavarana, Thorsten Schmidt, Peter Tankov

TL;DR
This paper develops a mean-field game model to analyze how carbon price shocks propagate through a multi-sector economy with defaultable firms, revealing significant spillover effects along the value chain.
Contribution
It introduces a novel mean-field game framework with linear programming formulation to study sectoral interactions and defaults under carbon pricing.
Findings
Carbon price shocks cause substitution between emissions and labor.
In multi-sector economies, green sector adoption increases with higher carbon prices.
Spillover effects significantly influence decarbonization pathways.
Abstract
We introduce a new mean-field game framework to analyze the impact of carbon pricing in a multi-sector economy with defaultable firms. Each sector produces a homogeneous good, with its price endogenously determined through market clearing. Firms act as price takers and maximize profits by choosing an optimal allocation of inputs-including labor, emissions, and intermediate goods from other sectors-while interacting through the endogenous sectoral price. Firms also choose their default timing to maximize shareholder value. Formally, we model the economy as an optimal stopping mean-field game within each sector. The resulting system of coupled mean-field games admits a linear programming formulation that characterizes Nash equilibria in terms of population measure flows. We prove the existence of a linear programming Nash equilibrium and establish uniqueness of the associated price…
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Taxonomy
TopicsClimate Change Policy and Economics
