Revenue and Cost Functions in PMP: a Methodological Integration for a Territorial Analysis of CAP
An integrated policy evaluation tool is proposed for assessing the effects of agricultural policy measures using all the information available at farm level. The tool combines the positive mathematical programming methodology with the cluster analysis technique by using the same panel of data. The PMP model proposed here allows to measure the effects of policy in term of agricultural supply responses including output market price variations. The novel procedure by which the PMP model is articulated permits to recover the set of farm level demand functions for agricultural products and the cost function characterizing the given sample of farms. Cluster analysis is useful for better appreciating the behaviour of farms before and after the policy scenario analysis by considering the transfers of farms among clusters. A decoupling scenario assessment presents the responses that the integrated tool can provide for evaluating agricultural policy instruments.
|Date of creation:||2008|
|Contact details of provider:|| Web page: http://www.eaae.org|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Lence, Sergio H & Miller, Douglas J, 1998.
"Estimation of Multi-output Production Functions with Incomplete Data: A Generalised Maximum Entropy Approach,"
European Review of Agricultural Economics,
Foundation for the European Review of Agricultural Economics, vol. 25(2), pages 188-209.
- Miller, Douglas & Lence, Sergio H., 1998. "Estimation of Multi-Output Production Functions with Incomplete Data: A Generalized Maximum Entropy Approach," Staff General Research Papers Archive 1219, Iowa State University, Department of Economics.
- Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(1), pages 27-50, March.
- Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
- Yves Léony & Ludo Peeters & Maurice Quinqu & Yves Surry, 1999. "The Use of Maximum Entropy to Estimate Input-Output Coefficients From Regional Farm Accounting Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 425-439.
- Quirino Paris & Richard E. Howitt, 1998. "An Analysis of Ill-Posed Production Problems Using Maximum Entropy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 124-138. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:ags:eaa107:6636. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.