详细信息
文献类型:期刊文献
中文题名:媒体情绪与房价波动
英文题名:MEDIA SENTIMENT AND HOUSING PRICE VOLATILITY
作者:况伟大[1];张思涵[2];张璋[3]
第一作者:况伟大
机构:[1]中国人民大学商学院,100872;[2]北京信息科技大学经济管理学院;[3]北京联合大学生物化学工程学院
第一机构:中国人民大学商学院,100872
年份:2020
卷号:40
期号:12
起止页码:56-68
中文期刊名:经济理论与经济管理
外文期刊名:Economic Theory and Business Management
收录:CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2017】;社科基金资助期刊;CSSCI:【CSSCI2019_2020】;
基金:国家自然科学基金项目“房价波动与房贷违约风险”(71373276)的资助。
语种:中文
中文关键词:异质性媒体;媒体情绪;房价波动
外文关键词:heterogeneity of media;media sentiment;housing price volatility
摘要:本文使用20002015年中国112个大中城市媒体报道和房价月度指数研究了媒体异质性对房价波动的影响。研究发现,纸媒情绪对房价波动的影响大于网媒情绪,中央媒体情绪对房价波动的影响大于地方媒体情绪,明星微博情绪对房价波动的影响大于普通微博情绪,媒体语气确定性和报道篇幅对房价波动有正影响,明星城市媒体情绪较非明星城市更易引起房价波动。据此,为防范非理性房价波动,应加强对不同媒体报道的监管。
Employing the monthly data of media coverage and housing price indices of 112 large and medium cities in China from 2000 to 2015, this paper studies how heterogeneous media sentiments influence housing price volatility. The results show that the influence of newspaper sentiments on housing price volatility is greater than that of internet media sentiments, the national newspaper sentiments have greater effects than local newspaper sentiments, and the certified blogger sentiments have greater effects than uncertified blogger sentiments. The tone and length of media coverage positively affect housing price volatility. Finally, the media sentiments have greater effects in the first-tier cities than in other cities. Therefore, to prevent irrational housing price volatility, different media coverage should be regulated differentially.
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