经济租金
公寓
普查区
邻里(数学)
旅游
住宿
人口普查
数据库事务
经济
财产价值
房价
贵族化
交易数据
财产犯罪
人口经济学
业务
微观经济学
货币经济学
财务
地理
房地产
法学
经济增长
社会学
暴力犯罪
神经科学
人口学
程序设计语言
政治学
生物
计算机科学
考古
数学分析
犯罪学
数学
人口
作者
Ka Shing Cheung,Chung Yim Yiu
标识
DOI:10.1177/13548166221102808
摘要
While in many housing studies, Airbnb is evidenced to be a demand driver that leads to a positive effect on property rents and prices, it is also argued that such tourist accommodation in a neighbourhood causes an increase in criminal activities that weigh on its property values. How can we reconcile such contradictory arguments? This research note aims to use a difference-in-differences model to empirically disentangle the moderating effect of Airbnb on the relationship between crime and house prices. Using the housing transaction data in the two census years of the Auckland Region, New Zealand, we demonstrate that the impact of crime on house prices is contingent on the density of Airbnb. After controlling neighbourhood qualities, such as household incomes, ethnicity concentration and proportion of public housing in each census tract, the effect of crime rate on house prices is negatively moderated by the number of Airbnb listings, especially in apartment-type housing. The result can be interpreted as showing the effects of trespassing-related crime on house prices.
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