000258013 001__ 258013
000258013 005__ 20180123010513.0
000258013 037__ $$a913-2017-1281
000258013 041__ $$aeng
000258013 084__ $$aQ12
000258013 084__ $$aQ18
000258013 084__ $$aC38
000258013 084__ $$aC51
000258013 245__ $$aFarm heterogeneity and agricultural policy impacts on size dynamics: evidence from France
000258013 260__ $$c2017
000258013 269__ $$a2017-06-23
000258013 300__ $$a40
000258013 336__ $$aWorking or Discussion Paper
000258013 490__ $$a17-04
000258013 520__ $$aThis article investigates the impact of agricultural policies on structural change in farming. Since not all farmers may behave alike, a non-stationary mixed-Markov chain modeling (M-MCM) approach is applied to capture unobserved heterogeneity in the transition process of farms. A multinomial logit specification is used for transition probabilities and the parameters are estimated by the maximum likelihood method and the Expectation-Maximization (EM) algorithm. An empirical application to an unbalanced panel dataset from 2000 to 2013 shows that French farming mainly consists of a mixture of two farm types characterized by specific transition processes. The main finding is that the impact of farm subsidies from both pillars of the Common Agricultural Policy (CAP) highly depends on the farm type. A comparison between the non-stationary M-MCM and a homogeneous non-stationary MCM shows that the latter model leads to either overestimation or underestimation of the impact of agricultural policy on change in farm size. This suggests that more attention should be paid to both observed and unobserved farm heterogeneity in assessing the impact of agricultural policy on structural change in farming.
000258013 542__ $$fBy depositing this Content ('Content') in AgEcon Search, I agree that  I am solely responsible for any consequences of uploading this Content to AgEcon Search and making it publicly available, and I represent and warrant that: I am either the sole creator and the owner of the copyrights and all other rights in the Content; or, without obtaining another’s permission, I have the right to deposit the Content in an archive such as AgEcon Search. To the extent that any portions of the Content are not my own creation, they are used with the copyright holder’s express permission or as permitted by law. Additionally, the Content does not infringe the copyrights or other intellectual property rights of another, nor does the Content violate any laws or another’s rights of privacy or publicity. The Content contains no restricted, private, confidential, or otherwise protected data or information that should not be publicly shared. I understand that AgEcon Search will do its best to provide perpetual access to my Content. In order to support these efforts, I grant the Regents of the University of Minnesota ('University'), through AgEcon Search, the following non-exclusive, irrevocable, royalty-free, world-wide rights and licenses: to access, reproduce, distribute and publicly display the Content, in whole or in part, in order to secure, preserve and make it publicly available, and to make derivative works based upon the Content in order to migrate the Content to other media or formats, or to preserve its public access. These terms do not transfer ownership of the copyright(s) in the Content. These terms only grant to the University the limited license outlined above.
000258013 546__ $$aEnglish
000258013 650__ $$aFarm Management
000258013 6531_ $$aagricultural policy
000258013 6531_ $$aEM algorithm
000258013 6531_ $$afarm structural change
000258013 6531_ $$amixed-Markov chain model
000258013 6531_ $$amultinomial logit
000258013 6531_ $$aunobserved heterogeneity
000258013 700__ $$aSaint-Cyr, Legrand D. F.
000258013 8560_ $$fsmart_lereco_wp@rennes.inra.fr
000258013 8564_ $$s1033078$$uhttp://ageconsearch.umn.edu/record/258013/files/wp17-04.pdf
000258013 909CO $$ooai:ageconsearch.umn.edu:258013$$pGLOBAL_SET
000258013 980__ $$a913