CLIM-FAS

Mitigation potential of French agriculture in response to climate change and the role of public policies

Coordinating institution : INRAE

Project leader : Kamel Elouhichi
Project duration : 60 months | November 1st 2024 → October 30th 2029

Grant : 1 249 973 €

Institutional partnerships : ENS - Institut d’Économie Scientifique et de Gestion - Université Grenoble Alpes - Université Paris Nanterre 

Associated institutions : CNRS - Université de Lille - Faculté des sciences économiques, sociales et des territoires - Aix-Marseille Université - Université Gustave Eiffel - École d’Urbanisme de Paris - Université Lumière Lyon 2

 

Kamel Elouhichi / CLIM-FAS

 

 

CLIM‑FAS aims to improve knowledge on the contribution and mitigation potential of the agricultural sector to climate change, and to generate scientific evidence on the technical, economic, and legal effectiveness of a range of public‑policy actions designed to encourage and accelerate the implementation of mitigation solutions.

The project is structured around several complementary objectives:

  • Estimate the net greenhouse‑gas emissions of French agriculture under current and future climate conditions, accounting for pedoclimatic variability and the heterogeneity of farming systems.
  • Evaluate the technical, economic, and legal effectiveness of mitigation practices, particularly low‑carbon strategies.
  • Analyse barriers and drivers of adoption, whether psychological, socio‑economic, or legal.
  • Quantify mitigation potential and estimate associated marginal costs.
  • Critically assess existing economic and policy instruments to identify avenues for improvement.
  • Provide evidence‑based recommendations to decision‑makers to guide mitigation strategies.

More than 25 scientists from INRAE, CNRS, and several universities participate in the CLIM‑FAS project. This multidisciplinary group — spanning agronomy, soil science, social psychology, economics, geography, and law — mobilises a wide range of complementary approaches, from microeconomic models of agricultural supply and agroecological simulation, to experimental economics, Data Envelopment Analysis (DEA), and psychometric methods.

The project relies on an integrated strategy for data collection and analysis, combining secondary sources such as the Farm Accountancy Data Network (RICA) with primary data gathered from local stakeholders (farmers, professional organisations, local authorities) through surveys, field experiments, and participatory approaches. This strategy enables the construction of a robust empirical foundation for the quantitative evaluation of public policies, while accounting for the diversity of farming systems, particularly in terms of resources, behaviours, and socio‑economic structures.

 

 

 

 

See also