Feasibility of risk-based inspections in organic farming: results from a probabilistic model

Danilo Gambelli, Francesco Solfanelli and Raffaele Zanoli ()

Agricultural Economics, 2014, vol. 45, issue 3, 267-277

Abstract: A risk-based inspection system might improve the efficiency of the organic farming certification system and ultimately provide a basis for increased competitiveness of this sector. This requires the definition of an effective inspection procedure that allows statistical evaluation of critical risk factors for noncompliance. In this article, we present a study based on data from selected control bodies in five European countries that is aimed at determining the feasibility of risk-based inspections in the organic sector according to the data that are currently routinely recorded. Bayesian networks are used for identification of the factors that can affect the risk of noncompliance. The results show that previous/concurrent noncompliant behavior explains most of the risk, and that the risk increases with farm size and the complexity of their operations. The data currently recorded by control bodies appear to be insufficient to establish an effective risk-based approach to these inspections.

Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://hdl.handle.net/10.1111/agec.12063 (text/html)
Access to full text is restricted to subscribers.

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:bla:agecon:v:45:y:2014:i:3:p:267-277

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0169-5150

Access Statistics for this article

Agricultural Economics is currently edited by W.A. Masters and G.E. Shively

More articles in Agricultural Economics from International Association of Agricultural Economists Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().