生鲜电商食品安全监管机制效用模型仿真
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(北京工商大学电商与物流学院,北京 100089)

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杨浩雄(1974—),男,北京工商大学教授,博士生导师,博士。E-mail: yanghaoxiong@126.com

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北京市哲学社会科学项目(编号:18GLC017);“十三五”时期北京市属高校高水平教师队伍建设支持计划(长城学者)(编号:CIT&TCD20180310);北京工商大学2020研究生科研能力提升计划


Model simulation research on the effectiveness of fresh food e-commerce food safety supervision mechanism
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(Beijing Technology and Business University E-commerce and Logistics School, Beijing 100089, China)

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    摘要:

    针对生鲜电商食品安全问题,基于现有的监管体系,构造了由生鲜电商供应商、生鲜电商平台、政府监管机构以及消费者四方共同组成的生鲜电商食品质量安全监管仿真模型,评价了生鲜电商供应商的质量偏好及投入策略,探究了政府及平台监管政策对生鲜电商食品质量安全的影响。结果表明,政府对平台进行抽检比直接对供应商抽检更加有效,提高对生鲜电商平台的抽检占比更有助于提高生鲜电商产品的安全水平,若提高惩罚力度,提高平台对供应商的惩罚力度相比提高政府的惩罚力度更为有效。

    Abstract:

    Aiming at the problem of fresh e-commerce food safety, based on the existing supervision system, we constructed a fresh e-commerce food quality and safety supervision simulation model composed of fresh e-commerce suppliers, fresh e-commerce platform, government regulatory agencies and consumers. We evaluated the quality preference and investment strategies of the suppliers, and the effects of fresh food safety brought by government and regulatory policy for platform were also investigated. The results showed that that the effective government sampling inspection on the platform could improve the safety of the fresh e-commerce products, and the proportion of sampling inspection on the fresh e-commerce platform was conducive. Increasing the punishment intensity of the platform for suppliers was more effective than increasing that from the government.

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杨浩雄,邵恩露,马家骥.生鲜电商食品安全监管机制效用模型仿真[J].食品与机械,2021,37(2):64-71.
YANGHaoxiong, SHAOEnlu, MAJiaji. Model simulation research on the effectiveness of fresh food e-commerce food safety supervision mechanism[J]. Food & Machinery,2021,37(2):64-71.

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  • 收稿日期:2020-07-28
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  • 在线发布日期: 2023-02-15
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