|
|
|
| Registros recuperados: 19 | |
|
| |
|
| |
|
| |
|
| |
|
|
| Gambelli, Danilo; Solfanelli, Francesco; Zanoli, Raffaele. |
| The aim of this paper is to analyze if the effectiveness of the inspection procedures in the organic certification is conditioned by measurable structural and managerial factors under control of organic control bodies (CBs), and if there is scope for possible improvements. The analysis is based on data from the archives of the largest Italian organic CB, containing information on operators’ characteristics, including a qualitative discrete risk score defined by the CB, inspectors’ characteristics, type of inspection and the outcome of the inspection, in terms of noncompliance detected and sanctions imposed. The aim is to analyze factors that could make an inspection more effective. Our measure of effectiveness is the number of detected noncompliance per... |
| Tipo: Conference paper, poster, etc. |
Palavras-chave: Food security; Food quality and human health Values; Standards and certification Regulation. |
| Ano: 2013 |
URL: http://orgprints.org/27768/1/Paper_Chania_30_05_13_DG_FS.pdf |
| |
|
| |
|
| |
|
|
| 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 |
| |
|
|
| 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 |
| |
|
|
| Naspetti, Simona; Alberti , Francesca; Solfanelli, Francesco. |
| The paper presents results from an Italian study on the development of the food quality for poultry meat into the organic sector, using the Quality Function Deployment (QFD) technique. Results show that among the visual characteristics of poultry meat consumers assign greater importance to attributes strictly related to the animal welfare issue. Price and product appearance (colour and fat presence) come as second. To meet these needs, producers can effectively operate along the supply chain by acting on: housing type, genotype lines and stocking density (animal concentration/mq). Information about these issues (labelling) should also be provided to the consumers. |
| Tipo: Conference paper, poster, etc. |
Palavras-chave: Produce chain management. |
| Ano: 2014 |
URL: http://orgprints.org/23864/1/23864_SC_MM.pdf |
| |
|
|
| Gambelli, Danilo; Solfanelli, Francesco; Zanoli, Raffaele. |
| 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. |
| Tipo: Journal paper |
Palavras-chave: Italy; Regulation. |
| Ano: 2012 |
URL: http://orgprints.org/27759/1/GAMBELLI%2035-38.pdf |
| |
|
|
| Gambelli, Danilo; Solfanelli, Francesco; Zorn, Alexander; Lippert, Christian; Dabbert, Stephan; Zanoli, Raffaele. |
| A Risk Based Inspection (RBI) scheme is a planning tool used to develop the optimum plan for the execution of inspection activities. Organic certification system could benefit from the implementation of RBIs in terms of higher effectiveness, i.e. trustability, and lower transaction costs for organic operators. Data from certification bodies provide basic information about non-compliances and structural aspects of organic operators. Here we propose a methodological approach to risk analysis modelling, based on discrete choice models and Bayesian networks, both aiming at the identification of key risk factor in the organic certification process in the European Union. |
| Tipo: Conference paper, poster, etc. |
Palavras-chave: Values; Standards and certification Regulation. |
| Ano: 2011 |
URL: http://orgprints.org/20107/1/modelling_risk_based_inspections_in_organic_certification.pdf |
| |
|
| |
|
|
| Gambelli, Danilo; Solfanelli, Francesco; Zanoli, Raffaele; Zorn, Alexander; Lippert, Christian; Dabbert, Stephan. |
| This paper describes the Italian and German organic certification systems, including the institutions involved and the definitions of non-compliance and sanctions. Although they are both implementations of the same EU regulatory framework, these systems differ in many respects. Case study data from control bodies on non-compliance and sanctions are presented and analysed using binary choice models. This analysis shows that the occurrence of slight non-compliance and greater farm acreage are significant risk factors that explain severe non-compliance in both countries. However, to implement an efficient risk-based inspection system in the future, the data collection process must be improved and extended to examine personal attributes of farmers and... |
| Tipo: Journal paper |
Palavras-chave: Regulation. |
| Ano: 2014 |
URL: http://orgprints.org/27763/1/27763.pdf |
| |
|
|
| Gambelli, Danilo; Solfanelli, Francesco; Zanoli, Raffaele; Zorn, Alexander; Lippert, Christian; Dabbert, Stephan. |
| This paper describes the Italian and German organic certification systems, including the institutions involved and the definitions of non-compliance and sanctions. Although they are both implementations of the same EU regulatory framework, these systems differ in many respects. Case study data from control bodies on non-compliance and sanctions are presented and analysed using binary choice models. This analysis shows that the occurrence of slight non-compliance and greater farm acreage are significant risk factors that explain severe non-compliance in both countries. However, to implement an efficient risk-based inspection system in the future, the data collection process must be improved and extended to examine personal attributes of farmers and... |
| Tipo: Journal paper |
Palavras-chave: Regulation. |
| Ano: 2014 |
URL: http://orgprints.org/27758/13/27758.pdf |
| |
|
| |
|
| |
|
| |
|
|
| Gambelli, Danilo; Solfanelli, Francesco; Zanoli, Raffaele. |
| The existing method of certification in organic agriculture system, which requires a periodical inspection for all the operators, is inefficient due to the high cost of these controls. A risk based decision support system, that could assist the inspection body during the planning of the annual inspection visits, is advocated to be more cost-effective and efficient. The risk based decision support system is constructed as a Bayesian network; the models incorporate the factors that influence risk of irregularity and analyse their effects by determining probability of non-compliance. Empirical findings using a sample of Italian data on inspection of organic farms, support the idea that the current risk categories used by control bodies in Italy are... |
| Tipo: Journal paper |
Palavras-chave: Regulation. |
| Ano: 2012 |
URL: http://orgprints.org/24130/1/EAA_SIEA.pdf |
| |
| Registros recuperados: 19 | |
|
|
|
