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作 者:张红[1,2] 于璐僮 李林峻 李维娜[3] ZHANG Hong;YU Lutong;LI Linjun;LI Vera(Center for Urbanization and Industrial Development,School of Civil Engineering,Tsinghua University,Beijing 100084.China;Hang Lung Center for Real Estate,Tsinghua University,Beijing 100084,China;Department of Accountancy,Hang Seng Management College,Hong Kong 999077,China)
机构地区:[1]清华大学土木水利学院,城镇化与产业发展研究中心,北京100084 [2]清华大学恒隆房地产研究中心,北京100084 [3]香港恒生管理学院会计系,香港999077
出 处:《清华大学学报(自然科学版)》2019年第11期880-886,共7页Journal of Tsinghua University(Science and Technology)
基 金:国家自然科学基金资助项目(71373143);清华大学自主科研计划项目(2015THZ01)
摘 要:二手房市场存在明显的价格离散现象和大量的信息搜寻行为,对二者间关系的研究有助于探索二手房市场的规律。首先对二手房市场内价格离散程度、信息搜寻次数、信息搜寻成本之间的关系进行理论分析并提出相应待检验假设,然后设计并实施二手房市场搜寻实验,利用实验数据实现对假设的检验。研究表明:提高二手房市场价格离散程度将导致买家信息搜寻次数增加;买家增加信息搜寻次数能引起二手房市场价格离散度的降低;信息搜寻成本下降将推动二手房买家信息搜寻次数增加。建议通过降低信息搜寻成本来引导二手房市场价格离散程度下降,以提高二手房市场的成熟度。China’s real estate market has entered the age of stock rooms and the second-hand housing market is bound to become more active in this stage.However,information asymmetry has led to large price discrepancies in the second-hand housing market,mainly because the second-hand housing transaction price can vary greatly.According to search theory,price discrepancies will lead to profitable information search behavior.The study of the relationship between the degree of discrepancies in second-hand housing prices and information search behavior has important implications for second-hand housing market information searches,improving theinformation search efficiency, and promoting the healthy development of the real estate intermediary industry and the second-hand housing market.This study uses information search theory to analyze the relationships among the price dispersion in the second-hand housing market,the number of information searches,and the information search cost, and proposes corresponding hypotheses to be tested.Then,a second-hand housing market is designed based on the key hypothesis for verification.A search experiment explores the relationship between the degree of price dispersion and the information search behavior. Finally,experimental data is used to complete the empirical analysis and test the hypothesis.The results show that increasing the price dispersion of the second-hand housing market will increase the number of buyer information searches.Increasing the number of buyer information searches then reduces the price dispersion in the second-hand housing market.Reducing the information search costs will increase the information for second-hand housing buyers.This research suggests that adjustments to the second-hand housing market should focus on reducing information search costs to stimulate increases in the number of information searches in the market which will reduce the degree of information asymmetry in the second-hand housing market and,thereby,reduce the price discrepancies in the second-ha
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