EconPapers    
Economics at your fingertips  
 

Nash equilibria in greenhouse gas offset credit markets

Liam Welsh and Sebastian Jaimungal

Journal of Commodity Markets, 2024, vol. 35, issue C

Abstract: One approach to reducing greenhouse gas (GHG) emissions is to incentivise carbon capturing and carbon reducing projects while simultaneously penalising excess GHG output. In this work, we present a novel market framework and characterise the optimal behaviour of GHG offset credit (OC) market participants in both single-player and two-player settings. The single player setting is posed as an optimal stopping and control problem, while the two-player setting is posed as optimal stopping and mixed-Nash equilibria problem. We demonstrate the importance of acting optimally using numerical solutions and Monte Carlo simulations and explore the differences between the homogeneous and heterogeneous players. In both settings, we find that market participants benefit from optimal OC trading and OC generation.

Keywords: Optimal stopping; Stochastic control; Carbon and emissions markets; Offset credits; Game theory; Numerical methods (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2405851324000382
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jocoma:v:35:y:2024:i:c:s2405851324000382

DOI: 10.1016/j.jcomm.2024.100419

Access Statistics for this article

Journal of Commodity Markets is currently edited by Marcel Prokopczuk, Betty Simkins and Sjur Westgaard

More articles in Journal of Commodity Markets from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jocoma:v:35:y:2024:i:c:s2405851324000382