基于ANP-Fuzzy的食品安全监管绩效评价研究——以山东省为例  

Research on Performance Evaluation of Food Safety Supervision Based on ANP-Fuzzy——A Case Study in Shandong Province

作　　者：王帅斌[1] 王冀宁[1] 马百超[1] 陈庭强[1] 

机构地区：[1]南京工业大学经济与管理学院,南京211816

出　　处：《中国调味品》2018年第3期155-162,共8页China Condiment

基　　金：国家社科基金重大招标项目(12&ZD204);江苏高校哲学社会科学重点项目(2017ZDIXM074)

摘　　要：评估政府食品安全监管绩效,对于助推政府加强食品安全的全方位监管,提高政府食品安全监管效率,改善食品安全治理具有重要意义。基于多环节监管视角,通过对国内外食品安全监管绩效评价的经典文献梳理,构建食品安全监管绩效评价指标体系,并借助网络层次-模糊综合评价模型(ANP-Fuzzy)实证分析了山东省食品安全监管绩效状况及其症结。Evaluating the performance of government food safety supervision is of great significance to boost governmept＇s comprehensive supervision of food safety, improve the efficiency of government food safety supervision and its food safety governmenee. According to the laws and regulations of food safety and analysis in existing literature, based on different regulatory aspects, construct food safety supervision performance evaluation index. The index utilizes an analytic network process-fuzzy comprehensive evaluation model so as to conduct empirical analysis of regulation performance and the crux of the problem in Shandong Province.

关 键 词：食品安全 监管绩效 网络层次分析法 模糊综合评价法 山东省 

分 类 号：TS201.6[轻工技术与工程—食品科学]