网民关注度与情绪对畜产品价格波动的影响研究——基于新冠疫情期间百度指数与新浪微博大数据的分析  

Research on the Influence of Net Distribution and Emotion on the Price Fluctuation of Livestock Products——Analysis of Baidu Index and Sina Weibo Big Data Based on COVID-19 Epidemic

作　　者：王洪彪(翻译) 王敏[1] Wang Hongbiao;Wang Min

机构地区：[1]北京市农林科学院农业信息与经济研究所

出　　处：《价格理论与实践》2021年第8期108-111,186,共5页Price:Theory & Practice

基　　金：国家自然科学基金(71603030);北京市农林科学院青年基金(QNJJ202012);北京市农业科技项目(20200127);北京市财政改革与发展项目“信息与经济所--农业信息技术与科技情报研究应用”。

摘　　要：为研判新冠疫情期间网民关注度及情绪对畜产品价格的影响,本文运用VAR模型、脉冲响应分析、方差分解分析等方法,研究猪肉、牛肉、羊肉、鸡蛋、白条鸡5种主要畜产品价格波动情况。研究结果表明:新冠肺炎疫情下,畜产品价格波动主要受本身供需关系变化的影响,但网络关注度和情绪对畜产品价格也会产生一定影响,且对不同种类畜产品价格的影响情况不同。在猪肉价格上,网络情绪贡献度达到3.06%,网络关注度贡献度为2.65%。综合来看,受影响最大的是猪肉价格,其次是白条鸡价格,牛肉和羊肉价格受到的影响最小。In the case of the impact of the netizens’ attention and emotion of the COVID-19 epidemic, this paper uses VAR models, impulse response analysis, variance decomposition analysis and other methods to study pork, beef, lamb, egg, white chicken 5 major livestock Product price fluctuations. The results show that under the epidemic of COVID-19, the price of animal products is mainly affected by the changes in its own supply and demand relationship, but network attention and emotions will have certain effects on livestock products, and the impact on different kinds of livestock products is different. At the price of pork, network emotional contribution reached 3.06%, and network attention contribution is 2.65%. In view, the most affected is the price of pork, followed by white chicken prices, beef and lamb prices.

关 键 词：网络关注度 网络情绪 畜产品价格 新冠疫情 

分 类 号：F32[经济管理—产业经济]