A Study of Public Sentiment Attitudes and Tax Compliance in Real Estate Tax Reform
This article uses structural equation modeling,Sina Weibo data mining and NLP sentiment analysis tech-nology to study the public's sentiment attitudes and compliance tendency towards promoting China's real estate tax reform.The study found that the perception of tax burden is the most important factor causing negative sentiment at-titudes,and this type of sentiment has a negatively significant impact on tax compliance.In the evaluation of the re-al estate tax policy at the end of 2021,the proportion of positive sentiment scores was slightly higher than the nega-tive sentiment scores.Issues such as"pilot,real estate,rent,housing prices,rich and poor,pressure,and mortgage loans"are the focus of the public's most attention.Behind the negative sentiment attitudes are waiting for the ap-peals for systemic policy deficiencies,unimplemented supporting measures,and high economic pressure.We should simultaneously carry out supporting policies,implement differentiated real estate tax policies,rationally make tax re-duction and exemption policies,and improve the transparency of tax use,etc.,in order to alleviate the public's neg-ative sentiments towards real estate tax reform and reduce the resistance and difficulty of policy implementation.
Real Estate Tax ReformSocial SentimentSentiment AnalysisTax Compliance
NETL
NSTL
万方数据
