生鲜农产品质量安全监管力度研究——以蔬菜农药残留为例

发布时间：2018-05-03 02:29

本文选题：生鲜农产品 + 质量安全　；参考：《江苏社会科学》2017年02期

【摘要】：生鲜农产品是我国居民食用频率最高、食用数量最大、受农药残留威胁较为严重的一类初级农产品。在产地对农户生产行为进行有效监管是化解生鲜农产品质量安全风险的重要途径。本文以蔬菜为例,运用安徽和县与山东寿光两地农户的调研数据,以及成本收益原理和概率统计方法,基于欧拉定理定量测度了两地政府对农户施药行为应当设定的监管力度。结果显示,在就地铲除农药残留超标蔬菜的处罚措施下,不同蔬菜品种和不同栽培方式所需要实施的抽检次数和每次抽检农户比例有所差异。但从监管上限来看,两地政府只需要在蔬菜采收环节随机抽检5次、每次随机抽取5%的农户进行农药残留检测,就能够实现农户自觉遵守农药操作规范、提升蔬菜质量安全水平的监管目标。这为我国政府在生鲜农产品质量安全监管领域推广随机抽查制度,提高产地监管效率提供了科学依据。
[Abstract]:Fresh agricultural products are the primary agricultural products with the highest consumption frequency, the largest consumption quantity and the more serious threat from pesticide residues. It is an important way to solve the risk of quality and safety of fresh agricultural products to supervise the production behavior of farmers in the production area. Taking vegetables as an example, using the investigation data of farmers in Anhui province and Shouguang, Shandong province, as well as the cost-benefit principle and probability statistics method, this paper quantitatively measures the supervision intensity that should be set by the governments of the two places on the basis of Euler's theorem. The results showed that the number of sampling and the proportion of farmers in different vegetable varieties and different cultivation methods were different under the penalty measures of eliminating pesticide residues exceeding the standard on the spot. However, from the point of view of the upper limit of supervision, the governments of the two places only need random sampling of 5 times in the vegetable harvesting link, and 5% of the farmers are randomly selected for pesticide residue detection each time, so that the farmers can consciously abide by the pesticide operating norms. Improve vegetable quality and safety level of regulatory objectives. This provides a scientific basis for the government to promote the random spot check system in the field of quality and safety supervision of fresh agricultural products and to improve the efficiency of producing area supervision.
【作者单位】：南京农业大学经管学院;
【基金】：国家自然科学基金面上项目“生鲜农产品质量安全的监管机制研究”(项目编号:71173114) 江苏省高校优势学科建设工程资助项目(PAPD)资助
【分类号】：F322

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