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1.
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.  相似文献   

2.
This article examines the exit and survival dynamics of burley tobacco growers in Tennessee, North Carolina, and Virginia using a discrete‐time hazard logit model. The study also predicts the effects of selected farm and family characteristics on exit hazards, assesses the proportionality of their effects over time and their relative importance in explaining the variation in exit hazards among burley tobacco growers. Results provide the longitudinal progression of the probability of exiting the tobacco industry since the end of the federal tobacco program in 2004, and identify off‐farm participation, percentage of farm receipts from tobacco, tobacco price, educational level, and farm size as the most important determinants of the decision to exit the tobacco industry. Further, the effects of off‐farm participation and farm size on the exit hazards of burley tobacco farms are proportional over time while the effects of the percentage of farm receipts from tobacco and tobacco price are time variant.  相似文献   

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