Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal Oniris

Home page

Post-doctoral position: Evaluation of the market consequences of trade restrictions in livestock: application to bovine animal diseases.

1 year post-doctoral position

Societal context and economic issues:

Epidemics raise many concerns, not only for human health but also for animals. In recent years, the prevalence of bovine tuberculosis (bTB) in ruminants and wildlife has been increasing in France and elsewhere in Europe. Its control remains a permanent objective for public authorities, as if it were to spread on a large scale, this disease would raise major public health concerns, which would lead to strong trade restrictions in order to stop its spread. In addition to its health implications, trade restrictions can have major and complex effects on the economic sectors related to livestock and animal production. In this context, the objective of this post-doctoral fellowship is to analyze the effect of the loss of bTB-free status on French and European markets. The loss of free status in a given territory leads to restrictions on the movement of live animals and animal products (trade bans, loss of market to certain third countries, etc.). Such a shock is likely to disrupt the economic equilibrium of the affected animal sectors, in a perimeter much wider than that of the infected herds. This shock potentially entails significant costs for the entire agricultural and food chain. These costs are measured in the short term in terms of loss of cash flow, income and employment, and in the longer run in terms of investment costs and adaptation costs to the new health and commercial context. Their repercussion may extend in fine to the whole economy, from specific production sectors to various demand sectors.

Post-doctoral scientific project:

The post-doctoral fellow will aim to model the markets of the bovine sector in order to evaluate the global costs of the disease for all the actors of the bovine sectors (milk and dairy). This research will be based on dynamic computable general equilibrium (CGE) modeling, with the objective of simulating market shocks (in this case, the restrictions applied to areas that have lost their free status) and quantifying their effects on all market sectors. 

The objective of the modeling is to measure the economic impact of the loss of tuberculosis-free status. Specifically, the analysis will quantify these economic impacts:

  • Effects on income and employment in the markets for bovine products (farms, food industries, retail, international trade)
  • Cost of additional measures induced by the loss of status (monitoring, additional tests for trade...)
  • Short and long term impacts will be differentiated

This research will thus aim to analyze the economic consequences and management of bTB in France. In particular, the modeling will seek to reveal :

  • The impact of regional zoning of sanitary restrictions
  • The costs of supplying and transporting animals between regions and internationally
  • The dynamics of investment in the sectors
  • The public cost related to measures for the sectors in case of loss of free status

Location: The post-doctoral fellowship will preferably take place in Nantes, within the UMR BIOEPAR. Regular exchanges with the UMR SMART-LERECO (Rennes) will be planned, both for the constitution of databases and to exchange on modeling choices. The post-doctorate will be supervised by Arnaud Rault.

Qualifications : Strong skills in economics are wanted. Knowledge of agricultural markets, livestock sectors, and skills in market modeling (GAMS) would be an advantage.

Contact: Candidates should send a dossier consisting of a letter of motivation, a CV, the doctoral report, and any published articles to arnaud.rault@inrae.fr before May 31, 2021. For any additional information, feel free to send an email to this address.

Download :