EconPapers    
Economics at your fingertips  
 

Kickstarting Carbon Capture and Storage adoption: Tailoring subsidies to emitters’ needs

Adrien Nicolle (), David Lowing and Diego Cebreros ()
Additional contact information
Adrien Nicolle: UniFI - Università degli Studi di Firenze = University of Florence = Université de Florence
Diego Cebreros: LGI - Laboratoire Génie Industriel - CentraleSupélec - Université Paris-Saclay

Post-Print from HAL

Abstract: Despite being an essential technology in industrial decarbonization scenarios, Carbon Capture and Storage (CCS) struggles to achieve large-scale deployment. Indeed, emitters face a coordination problem, which prevents them from forming the critical mass the transportation operator needs to develop a network that leverages economies of scale. In response, many public entities have multiplied financing mechanisms to support CCS adoption. However, current subsidy mechanisms overlook the network infrastructure and do not acknowledge the heterogeneity of emitters. Similarly, no study in the literature addresses the issue of distributing subsidies to heterogeneous emitters while considering the transportation network. Thus, this paper introduces a methodology for distributing subsidies among industrial emitters based on their capture costs and network cost contribution while accounting for budgetary constraints. Firstly, we evaluate each emitter's contribution to the network cost through the Shapley value. Secondly, we define each emitter's subsidy claim by combining previous results with their capture cost. We then distribute the subsidies according to the Proportional bankruptcy solution. We justify this solution based on properties (axioms) we desire our subsidy distribution to verify. A key feature of our methodology is its flexibility. Indeed, each step can be adapted to suit the normative framework that a policymaker wishes to posit. We apply our methodology to CCS deployment in France and compare our results to the conservative case where subsidies are distributed without considering the network. Our case study shows that our methodology leads to a more favorable subsidy distribution to upstream emitters and minimizes regret differences between them.

Keywords: CCS; Cooperative games; Bankruptcy; Subsidy; C61; C71; H23 (search for similar items in EconPapers)
Date: 2026-03
References: Add references at CitEc
Citations:

Published in Energy Economics, 2026, 157, pp.109246. ⟨10.1016/j.eneco.2026.109246⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:hal:journl:hal-05538615

DOI: 10.1016/j.eneco.2026.109246

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2026-07-21
Handle: RePEc:hal:journl:hal-05538615