农产品质量安全事件风险识别与分析——以镉大米事件为例  

Risk Identification and Analysis of Agricultural Product Quality and Safety Incidents--Taking the Cadmium Rice Incident as an Example

作　　者：余恩源 张群祥[1] Yu Enyuan;Zhang Qunxiang(College of Economics and Management,Zhejiang A&F University,Hangzhou Zhejiang 311399,China)

机构地区：[1]浙江农林大学经济管理学院,浙江杭州311399

出　　处：《河北科技师范学院学报（社会科学版）》2023年第1期65-69,共5页Journal of Hebei Normal University of Science & Technology(Social Sciences)

基　　金：国家社会科学基金项目“互联网时代农产品质量安全事件风险放大机制及其影响研究”(19BGL179)。

摘　　要：近年来,农产品安全问题不断显现,加之民众食品安全意识不断提高,使得农产品的质量安全问题再次受到审视。粮食从田野到餐桌全过程的任意环节监管不到位都有可能发生农产品安全事件,由此产生的风险对人们产生了深远的影响,成为了舆论的焦点。基于LDA模型的构建,对网络爬取的“镉大米”质量安全事件媒体新闻报道资料进行文本挖掘分析,从供应链视角识别出农产品安全事件风险主题并进行统计。结果表明,源头风险始终是事件风险监控的重点环节。In recent years,the quality and safety of agricultural products have been spotiighted because of the increasing safety problems of agricultural products and the continuous improvement of people*s awareness of food safety.Agricultural product safety risks may occur if the supervision of any link in the whole process of grain from field to table is not in place,which has attached public attention and imposes a far-reaching impact on the society.Text mining and analysis on the media news reports of“cadmium rice”incident are conducted with LDA model.The risk themes of agricultural product safety incidents are counted from the perspective of supply chain.The result shows that the source risk is always the focus of event risk monitoring.

关 键 词：农产品质量安全 风险识别 镉大米 LDA模型 

分 类 号：F322[经济管理—产业经济]