雾霾影响下的公众情绪与风险感知研究——以天津市微博用户为分析样本

摘要 近年来雾霾现象的严重化已对公众生活产生了不同程度的负面影响。基于微博平台获取数据，进行语料分析和数据整理，通过相关性检验、协整检验和格兰杰因果检验等方法研究了公众情绪和风险感知之间的关系。结果显示，在1%显著性水平上，公众的悲伤情绪、恐惧情绪、厌恶情绪在滞后二期情况下能够有效预测公众对环境问题的风险感知，公众对雾霾的关注度在滞后二期时也能够有效预测公众对环境问题的风险感知，但公众正面情绪未包含预测公众对环境问题风险感知的有效信息。
Abstract：In recent years， the severity of haze has had negative impact on public life to varied degrees. Through the corpus analysis and processing of the data collected from the microblog platform， correlation test， co integration test and Granger causality test are used to explore the relationship between public emotion and risk perception. The results show that sadness， fear and disgust， at the 1% significance level， can effectively predict the environmental risk perception in lag 2. The public's concern about haze can also effectively predict the environmental risk perception in lag 2， but the public's positive emotion cannot predict the environmental risk perception.