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The development of Hong Kong housing market:past,present and future

Economic and Political Studies 2020年第1期8卷 21-40页

作者： Terence Tai Leung Chong Xiaoyang Li Department of Economics The Chinese University of Hong KongHong Kong SARChina

From previous boom-bust cycles of the housing market of the Hong Kong SAR of China,we find that the imbalance between housing demand and supply,the interaction between the stock market,financial institutions and the real estate market,and international capital flows are the key determinants of housing price movements in Hong Kong.A comparison between the current episode of high real estate prices and that in 1997 suggests that structural changes have taken place and that different underlying forces are in play,thus indicating a low likelihood of a similar crash in the housing ***,it is still imperative for the Hong Kong SAR government to find effective ways to cool down the overheated housing *** we agree that the actions taken by the government will be able to suppress the housing price in the long run,the short-term effect may not be satisfactory due to the time lags of these policies.

关键词： housing market housing crisis Hong Kong economy

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Identification of the Breach of Short-Term Rental Regulations in Irish Rent Pressure Zones

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Journal of Computer and Communications 2023年第2期11卷 8-19页

作者： Guowen Liu Inmaculada Arnedillo-Sánchez Zhenshuo Chen Trinity College Dublin Dublin Ireland Dublin City University Dublin Ireland

The housing crisis in Ireland has rapidly grown in recent years. To make a more significant profit, many landlords are no longer renting out their houses under long-term tenancies but under short-term tenancies. Regulating rentals in Rent Pressure Zones with the highest and rising rents is becoming a tricky issue. In this paper, we develop a breach identifier to check short-term rentals located in Rent Pressure Zones with potential breaches only using publicly available data from Airbnb (an online marketplace focused on short-term home-stays) and Irish government websites. First, we use a Residual Neural Network to filter out outdoor landscape photos that negatively impact identifying whether an owner has multiple rentals in a Rent Pressure Zone. Second, a Siamese Neural Network is used to compare the similarity of indoor photos to determine if multiple rental posts correspond to the same residence. Next, we use the Haversine algorithm to locate short-term rentals within a circle centered on the coordinate of a permit. Short-term rentals with a permit will not be restricted. Finally, we improve the occupancy estimation model combined with sentiment analysis, which may provide higher accuracy.

关键词： housing crisis Short-Term Rental Irish Rent Pressure Zone Image Recognition Breach Identification

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