Tools for evaluating EU agricultural policies: An integrated approach

Filippo Arfini (), Cristina Brasili (), Roberto Fanfani (), Mario Mazzocchi, Elisa Montresor () and Quirino Paris ()
Additional contact information
Filippo Arfini: Università degli Studi di Parma
Cristina Brasili: Università degli Studi di Bologna
Roberto Fanfani: Università degli Studi di Bologna
Elisa Montresor: Università degli Studi di Verona
Quirino Paris: University of California

Statistical Methods & Applications, 2001, vol. 10, issue 1, No 15, 210 pages

Abstract: Abstract The aim of this paper is to propose a theoretical “multi-phase” strategy for analysing in dynamic terms the territorial impact of agricultural and environmental EU policy measures. This approach should also allow to evaluate the adjustment capability of farms as a function of the characteristics of different territories. The proposed methodology is illustrated by an example using data relative to the 41 provinces of Northern Italy. In the first step, a multivariate statistical analysis (MSA) consisting in Principal Component Analysis and Cluster Analysis leads to the identification of homogeneous clusters of territorial units. The territorial mapping is conditional to a predetermined set of indicators that takes into account different aspects of agricultural development. In a second step, Positive Mathematical Programming (PMP) allows to introduce the impact of agricultural policies (compensatory payments, price changes, etc.) returning different scenarios of land use and agricultural profitability. According to the outputs of the PMP, the third step consists in a new MSA for detecting any changes in the territorial mapping. Convergence analysis can then synthesise the impact of the different policy options.

Keywords: Policy evaluation; Principal Component Analysis; Cluster Analysis; Positive mathematical Programming; Convergence (search for similar items in EconPapers)
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/BF02511648 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:stmapp:v:10:y:2001:i:1:d:10.1007_bf02511648

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10260/PS2

DOI: 10.1007/BF02511648

Access Statistics for this article

Statistical Methods & Applications is currently edited by Tommaso Proietti

More articles in Statistical Methods & Applications from Springer, Società Italiana di Statistica
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().