Have Housing Prices Gone With the Smelly Wind? Big Data Analysis on Landfill in Hong Kong

R. Li, H. Li
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引用次数: 34

Abstract

Unlike many other places around the globe, Hong Kong is a small city with a high population density. Some housing units are built near the sources of an externality, such as a landfill site. As the blocks of buildings are particularly tall, many are walled buildings that block the bad odor from the landfill. Thus, the wind blowing from a landfill site may not affect the entire building estate. Some buildings are more heavily affected than others, partly because walled buildings built near landfills are rare. Only a few studies currently examine the correlation between wind direction and the prices of walled buildings. In this paper, we aim to bridge this research gap by illustrating Hong Kong as a case study. Most previous research studies only examine a few factors affecting housing prices. Modern big data is characterized by its large volume of data, which includes various types of data that analysts would not necessarily sample, but instead merely observe to track what happens. Therefore, another innovative point of our paper, is that we adopt a big data approach to study this issue. In this aspect, this paper is the first of its kind. There are 53,071 observations in the 1999 to 2014 dataset, with 2,175,911 data entries. Our results reflect that when more municipal solid waste is sent to the South East New Territories Landfill, residents’ complaints in Tseung Kwan O increase. However, entire property prices in the region also increase, which rejects our hypothesis. We speculate that as more people become aware of the housing estate due to complaints, with only a limited number of housing units affected by the smell, since the wind usually only blows in certain directions, the “advertisement effect” originating from complaints about the bad smell boosts the property prices of the unaffected units. That is, people become aware of the existence of the property, visit the site, and discover that only specific units facing one particular direction are affected. Then, they purchase units that are unaffected by the smelly wind, leading to an overall increase in property prices. The study’s results may provide a new perspective on urban planning, and possible implications for other cities in view of the constant increase in population and expansion of landfill sites.
房价是否随风而逝?香港堆填区的大数据分析
与世界上许多其他地方不同,香港是一个人口密度很高的小城市。一些住房单元建在外部性来源附近,如垃圾填埋场。由于建筑物特别高,许多建筑物都有围墙,可以阻挡垃圾填埋场的臭味。因此,从垃圾填埋场吹来的风可能不会影响整个建筑物。一些建筑物受到的影响比其他建筑物更严重,部分原因是在垃圾填埋场附近建造的有围墙的建筑物很少。目前只有少数研究考察了风向与有墙建筑价格之间的关系。在本文中,我们将以香港为例来弥补这一研究空白。大多数先前的研究只考察了影响房价的几个因素。现代大数据的特点是数据量大,其中包括各种类型的数据,分析师不一定会对其进行采样,而只是观察以跟踪发生的情况。因此,我们论文的另一个创新点是,我们采用大数据的方法来研究这个问题。在这方面,本文尚属首次。1999年至2014年的数据集中有53071个观测值,有2175911个数据条目。我们的研究结果显示,越多的城市固体废物被送往新界东南堆填区,将军澳居民的投诉就会增加。然而,整个地区的房地产价格也会上涨,这与我们的假设不符。我们推测,随着越来越多的人因投诉而认识到该小区,由于风通常只吹向特定方向,因此受臭味影响的住宅单位数量有限,由臭味投诉产生的“广告效应”推高了未受影响单位的房价。也就是说,人们意识到财产的存在,访问现场,并发现只有面向特定方向的特定单元受到影响。然后,他们购买不受臭风影响的单位,导致房地产价格整体上涨。这项研究的结果可能为城市规划提供一个新的视角,并可能对其他城市的人口不断增加和垃圾填埋场的扩大产生影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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