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Measuring the risk of non-compliance in Italian organic farms with parametric and non parametric models

Gambelli, Danilo; Solfanelli, Francesco and Zanoli, Raffaele (2012) Measuring the risk of non-compliance in Italian organic farms with parametric and non parametric models. NEW MEDIT, 4, pp. 35-38.

[thumbnail of GAMBELLI 35-38.pdf] PDF - English
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Document available online at: http://www.iamb.it/share/img_new_medit_articoli/474_35gambelli.pdf


Certification is an essential feature for organic products, and is based on controls/inspections to verify compliance with EU Reg. CE 834/07. Implementing a risk based inspection system can contribute to an effective and efficient organic control system, hence improving organic farming relative competitiveness.
This study is part of the CERCOST EU project, and analyses data from inspections on a sample of Italian organic farms, aiming at the identification of management and structural risk factors contributing to the occurrence of non-compliances. Risk analysis is based on the estimation of both parametric and non-parametric models using negative binomial panel estimators and Bayesian network modelling.

EPrint Type:Journal paper
Keywords:non-compliance, risk-based certification, Bayesian network, count data models
Subjects:"Organics" in general > Countries and regions > Italy
Values, standards and certification > Regulation
Research affiliation: European Union > CertCost
Italy > Univ. Politecnica delle Marche (prev. Univ. Ancona)
Horizon Europe or H2020 Grant Agreement Number:207727
Related Links:http://www.certcost.org/
Deposited By: Gambelli, Dr Danilo
ID Code:27759
Deposited On:07 Jan 2015 13:48
Last Modified:09 Jan 2015 13:56
Document Language:English
Refereed:Peer-reviewed and accepted

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