大数据赋能农产品质量安全追溯系统创新的机理与对策研究  

RESEARCH ON INNOVATION MECHANISM AND COUNTERMEASURE OF QUALITY AND SAFETY TRACEABILITY SYSTEM FOR AGRICULTURAL PRODUCTS EMPOWERED BY BIG DATA

作　　者：杨茂[1] 刘阳阳 YANG Mao;LIU Yangyang(Research Center for Food Economy, Henan University of Technology, Zhengzhou 450001, China)

机构地区：[1]河南工业大学粮食经济研究中心,河南郑州450001

出　　处：《河南工业大学学报（社会科学版）》2020年第3期1-7,共7页Journal of Henan University of Technology:Social Science Edition

基　　金：2018年国家社科基金培育项目(2018SKPY08);2020年河南省教育厅人文社会科学研究项目(2020-ZDJH-061)。

摘　　要：农产品质量安全问题近年来深受全社会的广泛关注,日益显现出海量、异构、复杂的大数据特点。农产品质量安全追溯系统是监控农产品质量安全的重要抓手和工具,大数据的出现和使用给其赋予了新的机会和能量,有助于解决农产品质量安全追溯成本高、信息分散、产业链不完整等问题,极大地提高农产品质量安全追溯系统的使用频率。大数据应用中仍存在短期成本偏高、民众和企业关注度低而参与意识不强、立法不完善且缺乏针对性等问题,需要继续发展以大数据为代表的高新科技、加强宣传以提高公众和经营者参与度以及加快健全法律法规等。In recent years,the quality and safety of agricultural products has been widely concerned by the whole society,with the massive,heterogeneous and complex characteristics of big data.The traceability system is an important method and tool to monitor the quality and safety of agricultural products.The emergence and application of big data empowers it with the new opportunity and energy,which helps to solve the problems of quality and safety traceability for agricultural products,including high costs,scattered information and incomplete industrial chain.This greatly improves the application frequency of the traceability system.However,there is still no fundamental solution to the big data application problems,such as relatively high short-term cost,low attention and poor awareness of participation by the public and the enterprises,incomplete and unspecific legislation.In this regard,it is proposed to continue developing high technology like the big data,to strengthen publicity and improve the participation by the public and the enterprises,and to perfect laws and regulations.

关 键 词：大数据 农产品 质量安全追溯 

分 类 号：F326.11[经济管理—产业经济]