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| GAMBELLI, DANILO; Solfanelli, Francesco; Zanoli, Raffaele. |
| 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... |
| Tipo: Journal paper |
Palavras-chave: Values; Standards and certification Regulation. |
| Ano: 2014 |
URL: http://orgprints.org/27757/1/agec12063.pdf |
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| GAMBELLI, DANILO; Solfanelli, Francesco; Zanoli, Raffaele. |
| 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... |
| Tipo: Journal paper |
Palavras-chave: Values; Standards and certification Regulation. |
| Ano: 2014 |
URL: http://orgprints.org/27818/1/Probabilistic%20modelling%20of%20risk_PREPRINT.pdf |
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| Zanoli, Raffaele; GAMBELLI, DANILO; Vairo, Daniela. |
| Scenario analysis is a qualitative tool for strategic policy analysis that enables researchers and policymakers to support decision making, and a systemic analysis of the main determinants of a business or sector. In this study, a scenario analysis is developed regarding the future development of the market of organic food products in Europe. The scenario follows a participatory approach, exploiting potential interactions among the relevant driving forces, as selected by experts. Network analysis is used to identify the roles of driving forces in the different scenarios, and the results are discussed in comparison with the main findings from existing scenarios on the future development of the organic sector. |
| Tipo: Journal paper |
Palavras-chave: "Organics" in general. |
| Ano: 2012 |
URL: http://orgprints.org/20844/1/JFPO903.pdf |
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| GAMBELLI, DANILO; SOLFANELLI, FRANCESCO. |
| Organic certification costs represent an important competitive disadvantage for organic farming. A proportion of the higher costs of organic products may result from the costs of certification along the entire supply chain. A reduction of such transaction costs provides a basis for a general increase in organic farms competitiveness. In this paper we present a model based on Bayesian Networks (BN) for the support of certification bodies in the phase of inspection planning. BNs are probabilistic models with a graphical interface, representing a network of a set of interconnected random variables, and provide a basis for influence diagrams based on conditional probabilities computations. The model implements a BN approach using risk factors – such as crop... |
| Tipo: Conference paper, poster, etc. |
Palavras-chave: Values; Standards and certification. |
| Ano: 2009 |
URL: http://orgprints.org/17105/1/Paper_Grabit_Palermo.pdf |
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