首页> 外文期刊>Risk analysis >Import Security: Assessing the Risks of Imported Food
【24h】

Import Security: Assessing the Risks of Imported Food

机译:进口安全:评估进口食品的风险

获取原文
获取原文并翻译 | 示例
       

摘要

We use data on food import violations from the FDA Operational and Administrative System for Import Support (OASIS) to address rising concerns associated with imported food, quantify import risks by product and by country of origin, and explore the usefulness of OASIS data for risk assessment. In particular, we assess whether there are significant trends in violations, whether import violations can be used to quantify risks by country and by product, and how import risks depend on economic factors of the country of origin. The results show that normalizing import violations by volume of imports provides a meaningful indicator of risk. We then use regression analysis to characterize import risks. Using this model, we analyze import risks by product type, violation type, and economic factors of the country of origin. We find that OASIS data are useful in quantifying food import risks, and that the rate of refusals provides a useful decision tool for risk management. Furthermore, we find that some economic factors are significant indicators of food import risk by country.
机译:我们使用来自FDA进口支持运营与管理系统(OASIS)的食品进口违规数据来解决与进口食品相关的日益严重的担忧,量化按产品和来源国划分的进口风险,并探索OASIS数据对于风险评估的有用性。尤其是,我们评估侵权行为是否存在显着趋势,是否可以使用进口侵权行为来按国家和产品来量化风险,以及进口风险如何取决于来源国的经济因素。结果表明,按进口量对进口违规行为进行归一化处理可提供有意义的风险指标。然后,我们使用回归分析来表征进口风险。使用此模型,我们按产品类型,违规类型和原产国的经济因素分析了进口风险。我们发现OASIS数据可用于量化食品进口风险,拒绝率为风险管理提供了有用的决策工具。此外,我们发现某些经济因素是各国食品进口风险的重要指标。

著录项

  • 来源
    《Risk analysis》 |2016年第11期|2047-2064|共18页
  • 作者单位

    Univ Wisconsin Madison, Dept Ind Syst Engn, 1513 Univ Ave, Madison, WI 53706 USA;

    Univ Wisconsin Madison, Dept Ind Syst Engn, 1513 Univ Ave, Madison, WI 53706 USA;

    Stanford Univ, Grad Sch Business, Stanford, CA 94305 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Food safety; import refusals; import security;

    机译:食品安全;进口拒绝;进口安全;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号