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

Author

Listed:
  • Adrien Nicolle

    (UniFI - Università degli Studi di Firenze = University of Florence = Université de Florence)

  • David Lowing

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique, ENS Rennes - École normale supérieure - Rennes, CRESE - Centre de REcherches sur les Stratégies Economiques (UR 3190) - UMLP - Université Marie et Louis Pasteur - UBFC - Université Bourgogne Franche-Comté [COMUE])

  • Diego Cebreros

    (LGI - Laboratoire Génie Industriel - CentraleSupélec - Université Paris-Saclay)

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.

Suggested Citation

  • Adrien Nicolle & David Lowing & Diego Cebreros, 2026. "Kickstarting Carbon Capture and Storage adoption: Tailoring subsidies to emitters’ needs," Post-Print hal-05538615, HAL.
  • Handle: RePEc:hal:journl:hal-05538615
    DOI: 10.1016/j.eneco.2026.109246
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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies

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