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    題名: 臺北市公共住宅對周圍住宅價格之影響
    The impact of public housing on nearby residential property values in Taipei city
    作者: 黃怡潔
    Huang, Yi Jie
    貢獻者: 張金鶚
    江穎慧

    Chang, Chin Oh
    Chiang, Ying Hui

    黃怡潔
    Huang, Yi Jie
    關鍵詞: 公共住宅
    房價
    空間迴歸模型
    分量迴歸模型
    差異中之差異法
    Public housing
    Property values
    Spatial regression
    Quantile regression
    Difference in difference method
    日期: 2017
    上傳時間: 2017-07-24 12:12:22 (UTC+8)
    摘要: 近年臺北市政府試圖藉由興建品質良好的公共住宅,解決住宅價格高漲影響人民居住的問題,然附近居民往往認為公共住宅會造成周圍住宅生活環境品質低落及房價下跌,反對其於住家鄰近興建。過去國內缺乏以實證方式計算公共住宅對周圍住宅價格之影響,亦尚未針對新推出的公營出租住宅個案深入分析;而國外相關研究雖有利用量化實證公共住宅與周圍房價關係,然多針對個別公共住宅社區為研究對象,對不同類型公共住宅及其對不同高低房價住宅之影響與差異,缺乏更全面的探討分析,且亦未釐清住宅價格的空間自相關特性及公共住宅設立的不同階段等,對周圍房價影響效果的差異。
    本文應用特徵價格理論傳統迴歸模型、空間迴歸模型及分量迴歸模型,以2012年7月至2015年9月之臺北市不動產實價登錄交易資料為對象,研究整建住宅、出售國宅、出租國宅、公營出租住宅等四類不同時期公共住宅,於100~300公尺不同影響範圍下,分別對周圍住宅價格的影響效果。另外並選取興隆公共住宅作為個案研究對象,以臺北市文山區不動產實價登錄交易資料為對象,應用差異中之差異法結合空間迴歸模型,分析興隆公共住宅的興建完工與住戶入住對於周圍住宅價格之外溢效果。實證結果顯示,附近有早期興建之整建住宅及出租國宅者,其住宅總價皆呈現顯著下跌現象,分別下跌約1.7%至8.9%及1.5%至7.7%;附近有出售國宅之住宅總價漲跌情形不顯著;而近期興建之公營出租住宅則造成周圍住宅價格顯著上漲約1.7%至7.7%;又前述影響程度皆隨影響範圍擴大而隨之減輕。進一步分析不同影響範圍下對周圍高低房價住宅的影響,公營出租住宅對周圍低價住宅正向提升效果為6.2%至7.1%,皆大於高價住宅之無顯著影響至3.2%。而興隆公共住宅的興建完工確實能使周圍住宅價格較外圍地區多提升約6.5%至15.8%,惟住戶入住興隆公共住宅則未具顯著正向的價格外溢效果。由新興辦的公營出租住宅對周圍房價造成正面影響的實證結果,應可釐清公共住宅外部性之正向效果,有助後續公共住宅的興建。
    In recent years, government has tried to build the public housing with high quality to solve the living problems caused by the soaring of the house price. However, residents beside the public housing often regard them as Nimbys that will detrimentally affect property values and oppose public housing to be built nearby. There were short of empirical studies that focus on the effects of public housing on nearby property, as well as the case study of social housing newly built in Taiwan. Besides, the empirical studies in foreign only select a specific public housing as their subject, which few of them analyze different effects caused by different types of public housing, ignore different effects on nearby property with different values, and have not clarify whether the spatial autocorrelation of property values as well as the construction and operation of the social housing leads to different results.
    This study analyzes the effect of social housing, resettled tenement, public housing for rent and for sale on nearby property values in different ranges separately by using hedonic price theory OLS, spatial and quantile regression as model, and selecting the sale price of real estate in Taipei City from July 2012 to September 2015 as sample. Besides, Xing-Long Social housing and sale prices of real estate in Wenshan district of Taipei City are also selected for case study applying Difference in Difference method with spatial regression, in order to analyze the nearby property values changes after the construction and the move in of the residents of Xing-Long social housing. The result shows that although resettled tenement and public housing for rent detrimentally affect the property values by 1.7% to 8.9% and 1.5% to 7.7% separately, public housing for sale does not affect the property values significantly, and social housing positively affects the property values by 1.7% to 7.7% on the contrary. In addition, these effects decline with distance from public housing. With regard to the impact on high and low priced property in different ranges, social housing has positive effect on low-priced property by 6.2% to 7.1% and no significant effect to 3.2% on high-priced property. The construction of Xing-Long social housing has positive spillover effect by 6.5% to 15.8%, however, the move in of the residents does not. Empirical results show that social housing newly built are able to enhance the property values nearby, which is contributed to the follow-up construction of the public housing.
    參考文獻: 一、中文參考文獻
    中華民國住宅學會,2008,「臺北市公有住宅資源運用策略規劃案總結報告書」,臺北市政府都市發展局委託研究案。
    江尚書,2011,「以社會住宅的實踐 凝聚城市的進步性」,『中華民國建築學會會刊』,63:31-34。
    米復國,1988,「台灣的公共住宅政策」,『台灣社會研究季刊』,1(2、3):97-147。
    行政院,2014,「社會住宅中長期推動方案暨第一期實施計畫(第一次修正)」,臺北市。
    行政院內政部,2011,「社會住宅短期實施方案」,臺北市。
    宋豐荃,2013,「鄰近公園有助提升房價嗎?—大小公園對高低房價影響程度之研究」,國立政治大學地政研究所碩士論文:臺北。
    沈孟穎、傅朝卿,2015,「台灣「國民」住宅設計與現代住居空間再現」,住宅學報,24(1):55-88。
    周心怡,2004,「拔靴法(Bootstrap)之探討及其應用」,國立中央大學統計研究所碩士論文:桃園。
    林祖嘉、林素菁,1993,「台灣地區環境品質與公共設施對房價與房租影響之分析」,『住宅學報』,1:21-45。
    林祖嘉、馬毓駿,2007,「特徵方程式大量估價法在台灣不動產市場之應用」,『住宅學報』,16(2):1-22。
    林祖嘉、黃麗蓉,2014,「嫌惡性風水對商用不動產價格影響之研究」,『住宅學報』,23(1):51-72。
    林素菁,2004,「台北市國中小明星學區邊際願意支付之估計」,『住宅學報』,13(1):15-34。
    林萬億,2003,「論我國的社會住宅政策與社會照顧的結合」,『國家政策期刊』,2(4):55-82。
    林萬億,2012,『台灣的社會福利:歷史經驗與制度分析』二版,臺北:五南圖書出版股份有限公司。
    洪幸妙、張金鶚,1993,「住宅管理維護對住宅品質之影響研究」,『都市與計劃』,20(1):1-22。
    紀凱婷,2009,「台北市新推個案定價之時間與空間相依性分析」,國立政治大學地政研究所碩士論文:臺北。
    胡志平、林帝佑,2013,「住宅標籤化與社區意識及維護績效路徑分析-結構方程模型應用」,『住宅學報』,22(1):81-105。
    師豫玲、孫淑文、陳肯玉,2008,「臺北市平價住宅問題探討、因應策略與未來發展方向」,『社區發展季刊』,121:100-119。
    徐進鈺,2011,「[社會住宅]導言」,『台灣社會研究季刊』81:463-467。
    徐韻涵,2011,「台灣可負擔住宅政策與執行方法初探─以台北市為例」,國立成功大學都市計劃學系學位論文:臺南。
    高伊葦,2014,「都市更新會造成周圍地區住宅價格上漲嗎? —台北市都市更新價格外溢之探討」,國立政治大學地政研究所碩士論文:臺北。
    張怡文、江穎慧、張金鶚,2009,「分量迴歸在大量估價模型之應用-非典型住宅估價之改進」,『都市與計劃』,36(3):281-304。
    張金鶚,1990,「住宅問題與住宅政策之研究」,內政部營建署委託研究案。
    張金鶚,2011,「當前社會住宅的期待」,『中華民國建築學會會刊』,63:10-13。
    張雅惠,2009,「國民住宅轉型社會住宅之課題分析」,『土地問題研究季刊』,8(2):79-88。
    郭敏華,2007,「台灣垃圾強制分類政策的成效實證分析」,國立政治大學財政研究所碩士論文:臺北。
    陳怡伶、黎德星,2010,「新自由主義化、國家與住宅市場 臺灣國宅政策的演變」,『地理學報』,59:105-131。
    曾菁敏,2008,「空間外部性、交易成本與市地重劃對住宅土地價格影響之研究-台南市的實證分析」,『住宅學報』,17(1):23-50。
    曾意辰,2014,「居住正義-台灣社會住宅論述與政策之分析」,國立政治大學國家發展研究所碩士論文:臺北。
    楊宗憲、蘇倖慧,2011,「迎毗設施與鄰避設施對住宅價格影響之研究」,『住宅學報』,20(2):61-80。
    溫在弘,2015,『空間分析:方法與應用』,臺北:雙葉書廊。
    廖仲仁、張金鶚,2006,「不對稱的仲介服務價格效果:分量迴歸法之檢驗」,『都市與計畫』,33(1):1-16。
    臺北市政府都市發展局,2004,『中華民國九十三年臺北市國宅統計年報』,臺北:臺北市政府都市發展局。
    臺北市政府都市發展局,2013,「公營住宅專區」,臺北市居住資訊服務網。http://210.69.61.39/h_Page.aspx?categoryId=200,取用日期:2016年6月10日。
    臺北市政府都市發展局,2014,「臺北市出租住宅行動綱領」,臺北市居住資訊服務網。http://www.housing.gov.taipei/h_download.aspx,取用日期:2016年4月13日。
    臺北市政府都市發展局,2015,「公共住宅資訊網-興隆一區」,公共住宅資訊網。http://www.housing.taipei.gov.tw/ph2/home,取用日期:2016年9月30日。
    臺北市政府都市發展局,2016a,「公共住宅專區」,公共住宅資訊網。http://www.housing.taipei.gov.tw/ph/home#,取用日期:2016年9月30日。
    臺北市政府都市發展局,2016b,「公宅不只是公宅!未來公共住宅將形塑居住新模式」,臺北市居住資訊服務網。http://www.housing.taipei.gov.tw/h_ctcontent.aspx?itemcode=h001&Contentid=bc4d72c7-6c7b-427b-b8f2-da704574b723,取用日期:2016年11月8日。
    臺北市政府都市發展局,2016c,「臺北市文山區興隆公共住宅1區新建計畫」,臺北市政府都市發展局網頁。http://www.udd.gov.taipei/pages/detail.aspx?Node=44&Page=7804,取用日期:2016年10月22日。
    臺北市政府都市發展局,2016d,「公共住宅計畫」,公共住宅計畫網頁。http://www.housing.taipei.gov.tw/ph-ae/home,取用日期:2017年3月22日。
    劉君雅、鄧志松、唐代彪,2009,「臺灣低生育率之空間分析」,『人口學刊』39:119-155。
    鄧志松,2006,「選舉的空間因素:以三次總統選舉為例」,『國家發展研究』, 6(1):89-144。
    蕭閎偉、林建元、白仁德,2013,「日本部落地區之人權社區營造:淺香町的案例」,『都市與計劃』,40(4):355-384。
    戴國正,2011,「大眾捷運系統對房價影響效果之再檢視」,國立政治大學地政研究所碩士論文:臺北。
    謝博明,2015,「住宅次市場界定及住宅價格空間分析:以新升格之台南市為例」,『住宅學報』,24(1):29-54 。
    魏郁純,2007,「健康狀態對就業影響-以癌症病人為例」,國立政治大學財政研究所碩士論文:臺北。

    二、英文參考文獻
    Albright, L., Derickson, E. S. and Massey, D. S., 2013, “Do Affordable Housing Projects Harm Suburban Communities? Crime, Property Values, and Taxes in Mount Laurel, NJ”, City & Community, 12(2): 89-112.
    Anselin, L., 1988, Spatial Econometrics: Methods and Models, Dorddrecht : Springer Netherlands.
    Basu, S. and Thibodeau, T. G., 1998, “Analysis of Spatial Autocorrelation in House Prices”, The Journal of Real Estate Finance and Economics, 17(1): 61-85.
    Briggs, X. de S., Darden, J. T. and Aidala, A., 1999, “In the Wake of Desegregation: Early Impacts of Scattered-Site Public Housing on Neighborhoods in Yonkers, NY”, Journal of the American Planning Association, 65: 27-49.
    Cameron, C. and Trivedi, P. K., 2010, Microeconometrics Using Stata, College Station: Stata Press.
    Cebula, R. J., 2009, “The Hedonic Pricing Model Applied to The Housing Market of The City of Savannah and Its Savannah Historic Landmark District”, Review of Regional Studies, 39(1): 9-22.
    Chang, C. O. and Yuan, S. M., 2013, “Public Housing Policy in Taiwan.” pp.85-101 in The Future of Public Housing: Ongoing Trends in The East and The West, edited by Chen, J., Stephens, M., and Man, J. Y., Heidelberg: Springer.
    Chau, K. W., Wong, S. K., Leung, A. Y. T. and Yiu, C. Y., 2003, “Estimating the Value Enhancement Effects of Refurbishment”, Facilities, 21(1/2): 13-19.
    Chiang, Y. H., Peng, T. C. and Chang, C. O., 2015, “The Nonlinear Effect of Convenience Stores on Residential Property Prices: A Case Study of Taipei, Taiwan”, Habitat International, 46: 82-90.
    Cliff, A. and Ord, J. K., 1973, Spatial Autocorrelation, London: Pion.
    Cummings, P. M. and Landis, J. D., 1993, “Relationships Between Affordable Housing Developments and Neighboring Property Values.” Working paper, No. 599 ed, University of California at Berkeley, Institute of Urban and Regional Development.
    De Salvo, J., 1974, “Neighborhood upgrading effects of middle-income housing projects in New York City”, Journal of Urban Economics, 1(3): 269-277.
    Du Preez, M. and Sale, M., 2013, “The Impact of Social Housing Developments on Nearby Property Prices: A Nelson Mandela Bay Case Study”, South African Journal of Economics, 81(3): 451-466.
    Dubin, R. A., 1998, “Predicting House Prices Using Multiple Listing Data”, Journal of Real Estate Finance and Economics, 17: 35-59.
    Ellen, I. G., Schill, M. H., Susin, S. and Schwartz, A. E., 2001, “Building Homes, Reviving Neighborhoods: Spillovers from Subsidized Construction of Owner-Occupied Housing in New York City”, Journal of Housing Research, 12(2): 185-216.
    Fischel, W. A., 2001, “Why are There Nimbys?”, Land Economics, 77(1): 144-152.
    Freeman, L. and Botein, H., 2002, “Subsidized Housing and Neighborhood Impacts: A Theoretical Discussion and Review of The Evidence”, Journal of Planning Literature, 163: 359-378.
    Galster, G. C., Tatian, P. and Smith, R., 1999, “The Impact of Neighbors Who Use Section 8 Certificates on Property Values”, Housing Policy Debate, 10(4): 879-918.
    Galster, G. and Williams, Y., 1994, “Dwellings for the Severely Mentally Disabled and Neighborhood Property Values”, Land Economics, 70: 466-477.
    Goetz, E., Lam, H. K. and Heitlinger, A., 1996, There Goes The Neighborhood? The Impact of Subsidized Multi-Family Housing on Urban Neighborhoods, Minneapolis-St. Paul: University of Minnesota, Center for urban and regional affairs.
    Haggett, P., Cliff, A. D. and Frey, A., 1977, Locational Models, London: Edward Arnold.
    Halvorsen, R. and Palmquist, R., 1980, “The Interpretation of Dummy Variables in Semilogarithmic Equations”, American Economic Review, 70: 474–475.
    Heintzelman, M. D., 2010, “The value of land use patterns and preservation policies”, The B.E. Journal of Economic Analysis and Policy, 10(1): 1-26.
    Imbens, G. W. and Wooldridge, J. M., 2009, “Recent Developments in The Econometrics of Program Evaluation”, Journal of Economic Literature, 47: 5–86.
    Kiel, K. A. and McClain, K. T., 1995, “House Prices during Siting Decision Stages: The Case of an Incinerator from Rumor through Operation”, Journal of Environmental Economics and Management, 28: 241–255.
    Koenker, R. and Bassett, G. W., 1978, “Regression Quantiles”, Econometrica, 46(1): 33-50.
    Koenker, R. and Bassett, G., 1982, “Robust Tests for Heteroscedasticity Based on Regression Quantiles”, Journal of Derivatives, 50(1): 43-62.
    Koschinsky, J., 2009, “Spatial Heterogeneity in Spillover Effects of Assisted and Unassisted Rental Housing”, Journal of Urban Affairs, 31(3): 319-347.
    Kuan, C. M., 2007, An Introduction to Quantile Regression, lecture notes, Institute of Economics, Academia Sinica.
    Lechner, M., 2010, “The Estimation of Causal Effects by Difference-in-Difference Methods”, Foundations and Trends in Econometrics, 4(3): 165-224.
    Lee, C. M., Culhane, D. P. and Wachter, S. M., 1999, “The Differential Impacts of Federally Assisted Housing Programs on Nearby Property Values: A Philadelphia Case Study”, Housing Policy Debate, 10(1): 75-93.
    Leung, T. C. and Tsang, K. P., 2012, “Love Thy Neighbor: Income Distribution and Housing Preferences”, Journal of Housing Economics, 21(4): 322-335.
    Li, L. H., 2005, “The Impact of Social Stigma: An Examination of The Public and Private Housing Markets in Hong Kong”, Appraisal Journal, 73(3): 305-317.
    Liao, W. C. and Wang, X., 2012, “Hedonic House Prices and Spatial Quantile Regression”, Journal of Housing Economics, 21: 16-27.
    Lin, Y. J., Chang, C. O. and Chen, C. L., 2014, “Why Homebuyers Have a High Housing Affordability Problem: Quantile Regression Analysis”, Habitat International, 43: 41-47.
    Linden, L. and Rockoff, J. E., 2008, “Estimates of the Impact of Crime Risk on Property Values from Megan`s Laws”, The American Economic Review, 98(3): 1103-1127.
    Malpezzi, S., 2003, “Hedonic Pricing Models: A Selective and Applied Review.” pp.67-89 in Housing economics and public policy: Essays in honor of Duncan Maclennan, edited by Sullivan, T. O. and Gibbs, K., Oxford: Blackwell Science Ltd.
    Nguyen, M. T., 2005, “Does Affordable Housing Detrimentally Affect Property Values? A Review of The Literature”, Journal of Planning Literature, 20(1): 15-26.
    Nourse, H., 1963, “The effect of public housing on property values in St. Louis”, Land Economics, 39 (4): 433-441.
    Rabiega, W. A., Lin, T. W. and Robinson, L. M., 1984, “The Property Value Impacts of Public Housing Projects in Low and Moderate Density Residential Neighborhoods”, Land Economics, 60(2): 174-179.
    Rosen, S., 1974, “Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition”, Journal of Political Economy, 82(1): 34-55.
    Rosenthal, S. S., 2008, “Old Homes, Externalities, and Poor Neighborhoods. A Model of Urban Decline and Renewal”, Journal of Urban Economics, 63(3): 816-840.
    Santiago, A. M., Galster, G. C. and Tatian, P., 2001, “Assessing the Property Value Impacts of the Dispersed Housing Subsidy Program in Denver”, Journal of Policy Analysis and Management, 20: 65-88.
    Sirmans, G. S., Macpherson, D. A., and Zietz, E. N., 2005, “The Composition of Hedonic Pricing Models”, Journal of Real Estate Literature, 13(1): 3-44.
    Snow, J., 1855, On the Mode of Communication of Cholera, London: John Churchill, 2nd ed.
    Tighe, J. R., 2010, “Public Opinion and Affordable Housing: A Review of The Literature”, Journal of Planning Literature, 25(1): 3-17.
    Tighe, J. R., 2012, “How Race and Class Stereotyping Shapes Attitudes Toward Affordable Housing”, Housing Studies, 27(7): 962-983.
    Wooldridge, J. M., 2012, Introductory Econometrics: A Modern Approach, South Western College Publications, 5th ed.
    描述: 碩士
    國立政治大學
    地政學系
    103257017
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0103257017
    資料類型: thesis
    顯示於類別:[地政學系] 學位論文

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