Research On Price Of Shared Short-term Rental Housing Based On Landlord Disclosure Information And User Reviews

In the past few years,the rapid rise of the sharing economy in China has become an indispensable emerging force to promote the rapid development of China's economy.As one of the world powers,China is a huge consumer market and has huge consumer demand.In addition,China's Internet infrastructure has steadily taken the lead in the world.Therefore,China has become the cradle of the sharing economy development in various industries,including shared travel,shared catering,shared accommodation and shared medical care which are the most popular and have profoundly affected people's lives.The hotness of shared accommodation comes from its diverse accommodation experience on the one hand,and from the fact that shared short-term rental platforms provide more price options.Compared with the rich pricing strategy research of traditional hotel and accommodation industry,we have less research on the factors affecting the price of shared short-term rental houses,which requires our continuous exploration.Therefore,this paper takes the Airbnb shared short-term rental platform as the research object,and focuses on the impact of the landlord's personal introduction and user online reviews on the price of shared rental housing.This paper first explains the theory of uncertainty reduction theory,Internet word-ofmouth,and emotional contagion.These theories may explain why landlord personal introductions and user online reviews have an impact on shared short-term rental home prices.Based on these three theories,this paper proposes the hypothesis of the impact of landlord personal introductions and user online reviews on the price of shared short-term rental housing.In the empirical part,this paper selects the data of the Airbnb shared shortterm rental platform in Beijing before November 2019,and then uses text analysis technology to structure the text data obtained,quantify the assumptions,and finally select least squares regression and quantile regression,using both regression methods for empirical analysis.After empirical analysis,this paper concludes the following: the length of the landlord's personal introduction text and the positive emotions expressed by personal introduction and positive sentiments reflected in online reviews from users have a significant positive effect on house prices.