| 摘要: |
| ［目的］精准扶贫是国策，电商扶贫是方法［1］； 国贫县是我国农业农村电商的重要组成部分，深入了解其发展状况对扶贫攻坚是非常必要的。［方法］文章基于惠农大数据，对整体贫困县内农业电商发展概况、参与电商人群属性、电商经营水平进行解析，分析了农业电商对贫困县脱贫的作用； 从整体贫困县和“三区三州”内贫困县的农业电商发展程度，分析了贫困县开展农业电商与生产环境、优势品种和产业发展之间的关系。［结果］2016年以来的互联网农产品供应、采购与交易数据表明：（1）贫困县开展农业电商的覆盖面与整体县基本处在同一水平，（2）贫困县参与农业电商的累计增长率更快，（3）贫困县用户参与农业电商的程度在国家级和省级层面是不同的，（4）贫困县参与农业电商以种养农产品的年轻人较多。［结论］贫困县内的农业电商经营发展水平表明：贫困县的产业扶贫要因地施策，要找准优势产业，要优先扶助有一定规模的产业。 |
| 关键词: 贫困县农业电商扶贫大数据三区三州 |
| DOI： |
| 分类号:F3232 |
| 基金项目: |
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| ANALYZING USERS AND OPERATION OF AGRICULTURAL E COMMERCE FROM NATIONAL LEVEL POVERTY STRIKEN COUNTY——BASED ON HUINONG BIG DATA ANALYSIS |
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Jiang Zuosheng1, Tang Wenfeng2※, Li Binbin3, Gu Wenjia3
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1. Hunan Agricultural and Rural Information Center, Changsha, Hunan 410005, China;2. Agricultural and Rural Ministry Information Center, Beijing 100122, China;3. Hunan Hui Nong Technology Co., Ltd，Changsha, Hunan 410005, China
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| Abstract: |
| As targeted poverty alleviation is national policy, e commerce is one method to implement it. Nowadays, state poverty counties is an indispensable component of Chinese e commerce of agricultural and rural area. Therefore, in depth knowledge about the development information of e commerce is necessary to poverty alleviation. Based on Huinong big data, this paper examined the role of agricultural e commerce to alleviate the poverty stricken county, through analyzing the development of agricultural e commerce, participants of e commerce group, and operation level of e commerce, and it also analyzed the relation among agricultural e commerce launch in poor county, production environment, advantageous variety and industry development through analyzing degree of development information, which is from agricultural e commerce in general and in "three districts and three states" poor counties. As a result, data from 2016, information of internet agricultural products supply, purchase and transaction, indicated that impoverished county, compared to county in general level, had consistent coverage rate of agricultural e commerce launch and cumulative growth rate of participation in agricultural e commerce. In addition, these data showed that the degree of user participation was different between national level and state level for agricultural e commerce, and that more young people participated in the agricultural e commerce to raise agricultural products. In summary, the operation level and the development level of agricultural e commerce in poor counties demonstrate that poverty alleviation by poor industry should be tailored to adapt specific local policy, identify advantageous industries and give priority to industries with a certain scale. |
| Key words: poverty county agricultural e commerce poverty alleviation big data three districts and three states |
