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    题名: 社會住宅供給對房價與地方消費之影響
    The Impact of Social Housing Supply on Housing Price and Local Consumption
    作者: 蘇曉瑞
    Sue, Hsiao-Jui
    贡献者: 邊泰明
    Ben, Tai-Ming
    蘇曉瑞
    Sue, Hsiao-Jui
    关键词: 社會住宅
    地方消費
    住宅價格
    住宅下濾模型
    核心邊陲模型
    Social Housing
    Local Consumption
    Housing Price
    Housing Filtering Model
    Core-Periphery Model
    日期: 2021
    上传时间: 2021-09-02 17:24:06 (UTC+8)
    摘要: 住宅市場的價格持續成長，連帶會影響居住者的消費能力。尤以台灣近10年資料觀察，這一波房價提升的趨勢在2017年又重新復甦。為了減少高房價所帶來的負面影響，許多研究投注在如何運用管理、租稅的手段面對房價。現有的因應方式確實可以抑制房價提升，但是缺乏對地區發展的助益。社會住宅在傳統研究上並不被視為面對高房價的優先政策，然而整理現有研究，已持續有學者提倡社會住宅對於地區發展的影響層面。
    基於社會住宅的需求族群與一般住宅市場需求者仍有區別，在面對需求者可分類的問題上，傳統的住宅下濾模型非常適合作為本文研究的分析架構。修正過的下濾模型加入了社會住宅部門，我們也分析社會住宅供給對於房租與地方消費的影響，確實可以印證本文預期社會住宅對於抑制房租與促進消費的效果。另一方面，社會住宅如果能夠影響地區的消費與租金，則也可能會進一步影響人口的流動，然而住宅下濾模型並不能直接分析人口移動的過程。為了進一步了解社會住宅是否能夠在勞動力、產業與工資等面向產生影響，我們也使用了新經濟地理學的核心邊陲模型進行分析。分析結果也確認了本研究的預期，社會住宅在理論上可能對地區的工資、勞動力供應、產業數量與地方消費產生影響。
    The price of the residential market continues to grow, which will affect the consumption power of residents. In particular, according to the data from Taiwan in the past ten years, this trend of high-rising housing prices has recovered again in 2017. In order to reduce the negative impact of high housing prices, many researchers are betting on how to use management and taxation methods to face housing prices. The existing response methods can indeed suppress the increase in housing prices, but they lack assistance to regional development. In traditional research, social housing is not regarded as a priority policy in the face of housing prices. However, after reviewing existing research, scholars have continued to advocate the impact of social housing on regional development.
    Based on the difference between the demand group of social housing and the general housing market demanders, in the face of the problem that demanders must be classified, the traditional housing filtering model is very suitable for this paper`s analysis framework. The revised housing filtering model is added to the social housing sector. We also analyze the impact of social housing supply on rent and local consumption, which can indeed confirm the expected effect of social housing in suppressing rent and promoting consumption. On the other hand, if social housing can affect regional consumption and rent, it may further affect population mobility. However, the housing filtering model cannot directly analyze the process of population movement. In order to further understand whether social housing can impact labor, industry, and wages, we also used the core-periphery model of new economic geography for analysis. The analysis results have once again confirmed the expectations of this research that social housing could probably have effect on regional wages, labor supply, number of industries, and local consumption.
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    描述: 博士
    國立政治大學
    地政學系
    103257501
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0103257501
    数据类型: thesis
    DOI: 10.6814/NCCU202101542
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