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:

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:, 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

Google Analytics

Targeted advertising cookies


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 or by post at:

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

Dernière mise à jour : Mai 2018

Menu Logo Principal AgroParisTech Labex Arbre Logo_UL Logo_cnrs Logo_unistra Beta

Bureau for Economic Theory and Applications

Laboratoire d'Economie Forestière

Sylvain Caurla

Research Engineer INRA

Research Interests:

  • Forest Sector Modeling
  • Spatial equilibrium models
  • Climate policies impacts
  • Fuelwood economics

Journal Articles :

  • Combining an inter-sectoral carbon tax with sectoral mitigation policies: Impacts on the French forest sector. With P. Delacote, F. Lecocq, J. Barthes and A. Barkaoui, 2013. Journal of Forest Economics, 19(4): 450-461. 
  • Stimulating fuelwood consumption through public policies: An assessment of economic and resource impacts based on the French Forest Sector Model. With P. Delacote, F. Lecocq and A. Barkaoui, 2013. Energy Policy, 63:338-347
  • Une typologie et une histoire des modèles économiques de secteur forestier. 2013. Revue Forestière Française 2013-2.
  • FFSM: un modèle de la filière forêt-bois française qui prend en compte les enjeux forestiers dans la lutte contre le changement climatique. Avec P. Delacote, 2012. INRA Sciences Sociales 4/2012.
  • Large scale dynamics of a heterogeneous forest resource are jointly driven by geographically varying growth conditions, tree species composition and stand structure. With H.Wernsdörfer, A. Colin, J-D. Bontemps, H. Chevalier, G. Pignard, J-M. Leban, J-C. Hervé and M. Fournier, 2012. Annals of Forest Sciences, 69(7): 829-844.
  • Estimating Armington Elasticities for Sawnwood and Application to the French Forest Sector Model. With A. Sauquet, F. Lecocq, Ph. Delacote, S. Garcia and A. Barkaoui, 2011. Energy and Resource Economics, 33(4): 771- 781.
  • Paying for Forest Carbon or Stimulating Fuelwood Demand? Insights from the French Forest Sector Model. With F. Lecocq, Ph. Delacote, and A. Barkaoui, 2010. Journal of Forest Economics, 17(2): 157-168.

Working Papers :

PhD Dissertation (in French):

Modélisation de la filière forêt-bois française. Évaluation des impacts des politiques climatiques

Current Research Activities :

  • Development of a long-term version of the French Forest Sector Model to model the impacts of climate change and climate policies on land use and forest productivity.
  • Modeling fuelwood demand
  • Consequential life cycle analysis on a forest territory

Frech Forest Sector Model Page :


  • Forest Sector Modeling (AgroParisTech)
  • Macroeconomics (INPL)
  • Microeconomics, Forest Economics (Université de Lorraine)