Senior Researcher in the SCIDYN team (Simulation, Control and Inference of Agro-environmental and Biological Dynamics) of the Toulouse Applied Mathematics and Computer Science unit of the INRA Applied Mathematics and Computer Science Department (UR 875).

CV détaillé

Activités de Recherche

The aim of my research activities is to develop tools for analysing the behaviour of forest owners and farmers in the face of uncertainty in terms of production decisions and protection against such uncertainty. My research programme aims to improve the decision-making of these agents in the face of natural uncertainties and to test the performance of public policy instruments likely to affect these decisions.

Publications récentes

• Couture, S., Lemarié, S., Teyssier, S., & Toquebeuf, P. (2023). The value of information under ambiguity: a theoretical and experimental study on pest management in agriculture. Theory and Decision, 1-29.
• Marine Albert, Jacques-Eric Bergez, Magali Willaume, Stéphane Couture (2022-07). Vulnerability of Maize Farming Systems to Climate Change: Farmers’ Opinions Differ about the Relevance of Adaptation Strategies. Sustainability, 14 (14), 8275, https://dx.doi.org/10.3390/su14148275, https://hal.inrae.fr/hal-03752727, OA
• Mariem Baccar, Jacques-Eric Bergez, Stephane Couture, Muddu Sekhar, Laurent Ruiz, Delphine Leenhardt (2021-08). Building Climate Change Adaptation Scenarios with Stakeholders for Water Management: A Hybrid Approach Adapted to the South Indian Water Crisis. Sustainability, 13 (15), https://dx.doi.org/10.3390/su13158459, https://hal.inrae.fr/hal-03322436, OA
• Marine Albert, Jacques-Eric Bergez, Stéphane Couture, Robert Faivre, Magali Willaume (2021). Decision-Making Process Factors Explain Some of the Heterogeneity of Irrigation Practices among Maize Farmers in Southwestern France. Water, 13 (24), 3504, https://dx.doi.org/10.3390/w13243504, https://hal.inrae.fr/hal-03538727, OA
• Loïc Sadou, Stéphane Couture, Rallou Thomopoulos, Patrick Taillandier (2021). Simuler la diffusion d’une innovation agricole à l’aide de modèles à base d’agents et de l’argumentation formelle. Revue Ouverte d’Intelligence Artificielle, 2 (1), 65-93, https://dx.doi.org/10.5802/roia.10, https://hal.inrae.fr/hal-03770673, OA
• Loisel, P., Brunette, M., Couture, S. Insurance and Forest Rotation Decisions Under Storm. Environmental and Resource Economics, 76(2), 347-367, 2020.
• Brunette, M. Couture, S. Corcos, A., Pannequin, F. Substituabilité entre assurance et auto-assurance : une propriété robuste à l’asymétrie d’information et à l’ambiguïté. Revue D’Economie Politique, 2020.
• Brunette, M., Couture, S., Foncel, J., Garcia, S. The decision to insure against forest fire risk : An econometric analysis combining hypothetical and real data. The Geneva Papers on risk and insurance - Issues and practices, 45, 111-133, 2019.
• Brunette, M., Couture, S., Pannequin, F., Corcos, A. On the uselessness of self-insurance clauses ?. Economics Bulletin, 39 (2), 830-837, 2019.
• Brunette, M., Couture, S. Risk management activities of a non-industrial private forest owner with a bivariate utility function. Review of Agricultural, Food and Environmental Studies, 99(3-4), 281-302, 2018.
• Brunette M., S. Couture, F. Pannequin. Is forest insurance a relevant vector to induce adaptation efforts to climate change ? Annals of Forest Science, 74,41, 2017.
• Couture S., M.-J. Cros, R. Sabbadin. Risk aversion and optimal management of an uneven-aged forest under risk of windthrow: A Markov decision process approach, Journal of Forest Economics, 25, 94-114, 2016.
• Brunette M., S. Couture, J. Laye (2015). « Optimizing forest management under dependent price and production risks: a Markov decision process approach», Journal of Environmental Economics and Policy, 4(2) : 141-163.
• Brunette M. L. Cabantous, S. Couture (2015). « Comparing Group and Individual Choices Under Risk and Ambiguity: an Experimental Study », Theory and Decision, 78(3) : 357-376.