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    Title: 臺灣各縣市人口結構對其房價的影響-以空間計量模型分析
    The Impact of Reginal Population Structure on Housing Price in Taiwan - Evidence from Spatial Econometric Analysis
    Authors: 林靖親
    Lin, Ching-Chin
    Contributors: 黃智聰
    Huang,Jr-Tsung
    林靖親
    Lin,Ching-Chin
    Keywords: 扶幼比
    扶老比
    房價中位數
    空間計量分析
    空間相依
    Dependency Ratio of Young
    Dependency Ratio of Elderly
    House Price
    Spatial Econometric Analysis
    Spatial Dependency
    Date: 2022
    Issue Date: 2022-08-01 18:34:23 (UTC+8)
    Abstract: 老年人口增加及幼年人口減少是臺灣目前亟需面對的人口問題現況,而臺灣現在亦面對高房價的社會問題,臺灣的人口結構變化對於房價的影響究竟孰輕孰重,依據本研究結果顯示,老年人口增加及幼年人口減少的確會影響房價問題,本研究以扶幼比及扶老比的資料並使用空間計量模型進行實證研究,以了解人口結構變化對房價的影響,並運用內政部不動產資訊平臺、行政院主計處及各縣市主計處的公開資訊資料,以臺灣各縣市(排除金馬、馬祖)2011年至2020年各項經濟社會變數(調整物價指數後之家戶可支配所得、人口增加率、犯罪人口率、就業者之行業結構-工業、服務業)來研究對房屋價格的影響。實證結果指出,臺灣在各縣市的房屋價格確實存在空間相關性,扶幼比及犯罪人口率與房價呈現負向影響關係,扶老比、家戶可支配所得、就業者之行業結構呈現正向影響關係,人口增加率與房價無影響關係。
    The increase in the elderly population and the decline in the young population are the population problems that Taiwan urgently needs to face at present, and Taiwan is now also facing the social problem of high housing prices, the impact of changes in Taiwan`s population structure on housing prices is more or less serious, according to the results of this study, the increase in the elderly population and the decline in the young population will indeed affect the problem of housing prices, this study uses the data of the ratio of children to the elderly and the ratio of the elderly and uses the spatial measurement model to conduct empirical research to understand the impact of demographic changes on housing prices, and to use the Ministry of the Interior`s movable property information platform, The public information data of the Comptroller`s Office of the Executive Yuan and the Comptroller`s Office of each county and city studied the impact on housing prices based on the economic and social variables of Taiwan`s counties and cities (excluding Kinmen, Malaysia and Matsu) from 2011 to 2020 (disposable income of households after adjusting the price index, population increase rate, crime population rate, industry structure of employed persons - industry, service industry). The empirical results point out that there is indeed a spatial correlation between housing prices in Taiwan`s counties and cities, and the ratio of child support and crime to housing prices show a negative impact relationship, the ratio of supporting the elderly, the disposable income of households, and the industry structure of the employed show a positive influence relationship, and the population increase rate has no influence relationship with housing prices.
    Reference: 壹、中文部分
    王于齊(2020)。臺灣人口老化對房價影響之實證分析。國立中興大學應用經濟學系學碩士論文,未出版,臺中市。
    江幸芬(2014)。臺灣家庭部門在金融機構借款與房價指數、利率、失業率之關聯性研究。國立中正大學國家經濟係國際經濟研究所碩士論文,未出版,臺北市。
    李佳珍、盧永祥、丁安正(2012)。臺北市各區人口、家庭所得與房屋價格關聯性之研究。商業現代化學刊,6(3),243-254。
    李鴻英、賴宗裕(2017)。人口結構變遷對房地產價格的影響。土地問題研究季刊,16(3),69-82。
    林左裕(2020)。少子化及高房價下的住宅政策。消費者報導雜誌,472,62 -67。
    胡海豐(2015)。以條件評價法估算土地使用變更的外部性對房地產價格之影響程度與作用範圍。住宅學報,24(2)1-26。
    張金鶚、高國峰、林秋瑾(2001)。台北市合理房價-需求面分析。住宅學報,10(1),51-66。
    曹淑琳、謝仁和(2017)地方產業與經濟發展指標關聯性分析-以高雄為例。城市學學刊,8(2),53-108。
    彭建文、蔡怡純(2017)。臺灣人口結構變遷對房價之影響分析。經濟論文叢刊,45(1),163-192。
    陳文意、周美伶、林玉惠、陳明吉(2013)。抑制房價以提高生育率:以臺北都會區為例。都市與計畫,40(2),191-216。
    鄭惠如(2016)。人口結構變遷對房地產價格之研究。東吳大學國際貿易學系碩士班論文。
    Dent , Jr .H.S著,莊安祺、胡亦瑜譯(2005),大投資潮:如何從史上最大的榮景(2005-2009)獲利。初版,聯經出版事業公司,107-158。
    貳、英文部分
    Burnell, J.D. (1988), “Crime and Racial Composition in Contiguous Communities as Negative Externalities.” American Journal of Economics and Sociology, 47(2), 177-193.
    Li, W.L. and Yao R. (2007), “The Life-Cycle Effects of House Price Changes.” American Journal of Money, 39(6), 1375–1409.
    Malmberg, B. (2010), “Low Fertility and the Housing Market: Evidence from Swedish Regional Data.” European Journal of Population, (26), 229–244.
    Mankiw, N Gregory and Weil, David N. (1989), “The Baby Boom, The Baby Bust, and The Housing Market.” Regional Science and Urban Economics, 19(2), 235–258.
    Megbolugbe, I.F., J. Sa-Aadu, and J. Shilling (1997), “Oh, Yes, the Elderly will Reduce Housing Equity under the Right Circumstances.” Journal of Housing Research, 8(1), 53–74.
    Pan, L. and J. Xu (2013), “Housing Price and Fertility Rate.” China Economic Journey, 5(2), 97–111.
    Rappaport, J. (2013), “The Demographic Shift from Single Family to Multifamily Housing.” Economic Review, 2013(4), 29–58.
    Venti, S. F. and Wise D.A (2000),” Aging and Housing Equity.” NBER working Paper, 7882.
    三、網路資料
    中華民國資訊網,取用日期:111年3月10號,取自網址:https://www.stat.gov.tw/np.asp?ctNode=509&mp=4 。
    內政部戶政司,取用日期:111年3月10號,取自網址:https://www.ris.gov.tw/app/portal/346。
    內政部不動產資訊平台,取用日期:111年3月10號,取自網址:https://pip.moi.gov.tw/V3/E/SCRE0401.aspx。
    行政院主計處「縣市重要統計指標查詢系統」,取用日期:111年3月10號,取自網址: https://statdb.dgbas.gov.tw/pxweb/Dialog/statfile9.asp。
    國家發展委員會,取用日期:111年3月10號,取自網址: https://www.ndc.gov.tw/。
    Description: 碩士
    國立政治大學
    行政管理碩士學程
    107921029
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0107921029
    Data Type: thesis
    DOI: 10.6814/NCCU202201044
    Appears in Collections:[行政管理碩士學程(MEPA)] 學位論文

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