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Last update: May 2021

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PhD Defence

06 October 2021

Abdel Osseni will defend his PhD entitled "Preventive management and consequences of health risks in animal production: Application to bovine tuberculosis in France" on October 14th, 2021 at 2:00 pm (Institut Agro - Agrocampus Ouest in Rennes, Amphi Moule).

Abdel Osseni will defend his PhD in front of the following jury:

  • Pierre Courtois (INRAE, UMR CEE-M), referee
  • Glynn Tonsor (Kansas state university), referee
  • Elisabeta Vergu (INRAE, UR MaIAGE), examinator
  • Aude Ridier (Agrocampus Ouest), examinator
  • Alexandre Gohin (INRAE, UMR Smart Lereco), supervisor
  • Arnaud Rault (INRAE, BIOEPAR), co-supervisor


The objective of this PhD thesis is to analyze the farmers’ private decisions in the prevention and management of livestock infectious diseases, then examining the influence of public policies on private choices. This objective raises several empirical, methodological and theoretical challenges that we have attempted to elucidate. The thesis includes 4 chapters. The first chapter is a review of the literature and consists of an opening of debate on the private and public choices of prevention and management of the risks of livestock diseases. The second examines the identification of risk factors related to bovine tuberculosis, taking into account the statistical fact that this disease remains a rare event in France. Previous literature in France on these risk factors failed to consider this fact, thus introducing an overestimation bias into the estimated parameters. In the third chapter, we study the determinants of adoption of biosecurity practices, considering simultaneously the within-farms and between-farms dependencies of prevention choices. To achieve this, we develop a spatial autoregressive multivariate probit model with estimation based on Bayesian inference. Finally, in the last chapter, we analyze the policy to encourage on-farm biosecurity effort, considering animal health as a public good. We develop from the contract theory, a principal-multiple agents model where we consider the heterogeneity of farmers, the production externality and the potential moral hazard.