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    政大機構典藏 > 商學院 > 財務管理學系 > 學位論文 >  Item 140.119/152068
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/152068


    Title: 台灣房市之超額購屋負擔檢視
    An Examination of Excessive Housing Affordability in Taiwan Housing Market
    Authors: 梁昱宏
    Liang, Yu-Hung
    Contributors: 陳明吉
    Chen, Ming-Chi
    梁昱宏
    Liang, Yu-Hung
    Keywords: 房價壓力
    購屋負擔極限
    購屋可負擔能力之超額水準
    Housing Price Pressure
    Maximum Home-Buying Burden
    Excessive Housing Affordability
    Date: 2024
    Issue Date: 2024-07-01 12:39:58 (UTC+8)
    Abstract: 台灣過去20餘年房價水準不斷攀升,然而薪資水準並無同步提高,進而衍生出民眾購屋負擔之議題,而過去多數討論購屋負擔議題之研究大多圍繞於房價所得比(Housing Price to Income Ratio, PIR),然而購屋負擔能力不只與房屋價格或是家戶所得有關,而是與當時之融資條件,包含利率水準、貸款之還款期限及貸款成數,以及影響所得之生活支出有關,本研究延伸並改良 Gan and Hill(2009)之研究方法,著重探討考量家戶所得與利率水準、貸款之還款期限及貸款成數,量化台灣每年購屋極限價格,並與實際房價做比較計算購屋可負擔能力之超額水準,購屋可負擔能力之超額水準探討的重點會聚焦於台灣之直轄市以及不動產因子進行分析,不動產因子包含不動產總面積(坪)、主建物占比(%)、屋齡、房價(總價)、不動產型態(透天厝、公寓、華廈及住宅大樓),最後使用行政院主計總處公布各年度家庭收支調查報告之戶數五等分位組之平均每戶可支配所得表為依據區分高中低收入級距下探討購屋極限價格之試算以及對各直轄市區分收入為高中低族群進行購屋可負擔能力之超額水準分析。實證結果顯示,購屋可負擔能力之超額水準部分與不動產因子及型態呈正向顯著,其中不動產型態與不動產因子交乘中,不動產型態為透天厝之主建物占比及住宅大樓之不動產總面積影響超額購屋負擔最大,來到1278.3萬元39.81萬元,進一步檢視直轄市之迴歸結果,顯示台北與新北市超額負擔最為嚴重,來到743.36及135.87萬元,區分高中低所得下,台北市不管高中或低收入族群皆有正向購屋可負擔能力之超額水準並於低所得族群中最嚴重。
    Over the past two decades, Taiwan has seen continuous increases in housing prices without corresponding rises in wages, raising concerns about homeownership affordability. While most prior studies on this issue focused on the Housing Price to Income Ratio (PIR), affordability isn't solely determined by housing prices and income levels. Factors like interest rates, loan terms, loan-to-value ratios, and living expenses also play crucial roles. This study builds on Gan and Hill's (2009) methodology to calculate Taiwan's annual maximum affordable housing price, considering income levels, interest rates, and other financing conditions. It compares this figure with actual housing prices to assess excess affordability, examining major municipalities and key real estate factors such as area, building ratio, age, and type (detached houses, apartments, etc.).
    Using household income data from the Directorate-General of Budget, Accounting and Statistics, different income groups (high, medium, low) are analyzed to determine maximum affordable housing prices and excess affordability levels across municipalities. The study finds significant positive correlations between excess affordability and various real estate factors and types. Notably, factors like building ratio for detached houses and total real estate area for residential buildings have substantial impacts on excess affordability, up to NT$12.783 million and NT$398.1 thousand, respectively. Regression analysis highlights Taipei and New Taipei City as having the most severe excess affordability burdens, with levels reaching NT$7.4336 million and NT$1.3587 million, respectively, especially affecting low-income households in Taipei.
    Reference: Adams, Z., and Füss, R. (2010). Macroeconomic determinants of international housing markets. Journal of Housing Economics, 19(1), 38-50.
    Anacker, K. B. (2019). Introduction: Housing affordability and affordable housing. International Journal of Housing Policy, 19(1), 1-16.
    André, C., G-Alana, L. A., and Gupta, R. (2014). Testing for persistence in housing price-to-income and price-to-rent ratios in 16 OECD countries. Applied Economics 46(18), 2127-2138.
    Beatrice D., S-K., et al. (2013). Is the relationship between monetary policy and house prices asymmetric across bull and bear markets in South Africa? Evidence from a Markov-Switching Vector Autoregressive model. Economic Modelling 32, 161-171.
    Bramley, G. (2012). Affordability, poverty and housing need: triangulating measures and standards. Journal of Housing and the Built Environment, 27, 133-151.
    Bui, T. N. (2019b). The role of financial development in the Vietnam economy. WSEAS Transactions on Business and Economics 16(2019), 471-476.
    Bui, T. N. (2020). Impacts of interest rate on housing prices: Evidence from Ho Chi Minh city, Vietnam. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies 11(5), 1-7.
    Case, K. E., and Robert J. S. (1990). Forecasting prices and excess returns in the housing market." Real Estate Economics 18.3 (1990), 253-273.
    Chan, E. H. W., So, H. M., Tang, B. S., and Wong, W. S. (2008). Private space, shared space and private housing prices in Hong Kong: An exploratory study. Habitat International, 32(3), 336-348.
    Coleman, A. (2007). Credit constraints and housing markets in New Zealand. Reserve Bank of New Zealand (Discussion Paper), November, 1-39.
    Coulson, N. E. and Daniel P. M. (2008). Estimating time, age and vintage effects in housing prices. Journal of Housing Economics 17(2), 138-151.
    Doerner, W. M. and Ihlanfeldt, K. R. (2011). House prices and city revenues. Regional Science and Urban Economics 41(4), 332-342.
    Du, H. and Mulley, C. (2007). The short-term land value impacts of urban rail transit: Quantitative evidence from Sunderland, UK. Land Use Policy 24(1), 223-233.
    Fereidouni, H-G and Masron, A. (2013). Real estate market factors and foreign real estate investment. Journal of Economic Studies 40(4), 448-468.
    Engsted, T., and Pedersen, T. Q. (2014). Housing market volatility in the OECD area: Evidence from VAR based return decompositions. Journal of Macroeconomics 42, 91-103.
    Frew, J., and Jud, G. (2003). Estimating the value of apartment buildings. Journal of Real Estate Research 25(1), 77-86.
    Gan, Q. and Hill, R. J. (2009), Measuring housing affordability: Looking beyond the median. Journal of Housing Economics 18(2009), 115-125.
    Gasparėnienė, L., Remeikienė, R., and Skuka, A. (2016). Assessment of the impact of macroeconomic factors on housing price level: Lithuanian case. Intellectual Economics 10(2), 122-127.
    Gimeno, R. and Martínez-Carrascal, C. (2010). The relationship between house prices and house purchase loans: The Spanish case. Journal of Banking & Finance 34(8), 1849-1855.
    Goodman, A. C., and Thibodeau, T. G. (1995). Age-related heteroskedasticity in hedonic house price equations. Journal of Housing Research 6(1), 25-42.
    Green, R., and Patric, H. H. (1996). Age, housing demand, and real house prices. Regional Science and Urban Economics 26(5), 465-480.
    Haffner, M. E. and Hulse, K. (2021). A fresh look at contemporary perspectives on urban housing affordability. International Journal of Urban Sciences, 25(sup1), 59-79.
    Head, A., and Huw L‐E. (2016). Has Canadian house price growth been excessive?. Canadian Journal of Economics/Revue canadienne d'économique, 49.4 (2016), 1367-1400.
    Hei, C., and Dastane, D. O. (2017). Buying a dream home–considerations of residential property consumers in Malaysia. Singaporean Journal of Business, Economics and Management Studies (SJBEM) 5(9), 19-35.
    Hickman, P., Kemp, P. A., Reeve, K., & Wilson, I. (2017). The impact of the direct payment of housing benefit: evidence from Great Britain. Housing Studies, 32(8), 1105-1126.
    Jewkes, M. and Delgadillo, L. (2010). Weaknesses of housing affordability indices used by practitioners. Journal of Financial Counseling and Planning, 21(1), 43-52.
    Kauko, T. (2006). What makes a location attractive for the housing consumer? Preliminary findings from metropolitan Helsinki and Randstad Holland using the analytical hierarchy process. Journal of Housing and the Built Environment, 21(29), 159-176.
    Kiel, K. A. and Zabel, J. E. (2008). Location, location, location: The 3L Approach to house price determination. Journal of Housing Economics 17(2), 175-190.
    Kim, K. (2020). Payment performance and residency discounts in the rental housing market. Real Estate Economics, 48(4), 1168-1197.
    Kivedal, B. K. (2013). Testing for rational bubbles in the US housing market. Journal of Macroeconomics 38, 369-381.
    KK, N., and PK, M. (2015). Purchase decision for apartments: a closer look into the major influencing factors. Impact International Journal of Research in Applied, Natural and Social Sciences 3 (5), 105-112.
    Lee, C-C., Liang, C-M., and Chen, C-Y. (2017). The impact of urban renewal on neighborhood housing prices in Taipei: an application of the difference-in-difference method. Journal of Housing and the Built Environment 32 (2017), 407-428.
    Lee, B. S., Eui-Chul, C., and Yong, H. K. (2005). Dwelling age, redevelopment, and housing prices: The case of apartment complexes in Seoul. The Journal of Real Estate Finance and Economics 30, 55-80.
    Lens, M. C. (2018). Extremely low-income households, housing affordability and the Great Recession. Urban Studies, 55(8), 1615-1635.
    Lerman, D. L., and Reeder, W. J. (1987). The affordability of adequate housing. Real Estate Economics 15(4), 389-404.
    Li, L. (2010). Housing Choice in an Affluent Shanghai–Decision. Modern Economy, 9-17.
    Liu, L. (2023). Mortgage loan and housing market. International Review of Economics & Finance 83 (2023), 736-749.
    Li, Y., and Yang, J. (2018). House Price Dynamics and Excess Risk. International Real Estate Review, 21(2).
    Liu, Y., Fan, P., Yue, W., and Song, Y. (2018). Impacts of land finance on urban sprawl in China: The case of Chongqing. Land Use Policy 2018(72), 420-432.
    Maoludyo, F. T., and Aprianingsih, A. (2015). Factors Influencing Costumers Buying Intention for Housing Unit in Depok. Journal of Business and Management 4(4), 484-493.
    McCord, M., McGreal, S., Berry, J., Haran, M., and Davis, P. (2011). The implications of mortgage finance on housing market affordability. International Journal of Housing Markets and Analysis 4(4), 394-417.
    Md, N. (2015). Price to income ratio approach in housing affordability. J. Bus. Econ. Manag, 1190-1193.
    Meen, G. (2018). How should housing affordability be measured. UK Collaborative Centre for Housing Evidence, 3, 1-32.
    Moore, E., and Skaburskis, A. (2004). Canada's increasing housing affordability burdens. Housing studies, 19(3), 395-413.
    Murray, M. S. (1997). Low-income renter housing: Another view of the tough choice. Journal of Housing Research, 27-51.
    Osmadi, A., Kamal, E. M., Hassan, H., and Fattah, H. A. (2015). Exploring the elements of housing price in Malaysia. Asian Social Science, 11(24), 26.
    Özmen, M. U., Kalafatcılar, M. K., and Yılmaz, E. (2019). The impact of income distribution on house prices. Central Bank Review 19(2), 45-58.
    Rachmawati, D., Shukri, S., Azam, S., and Khatibi, A. (2019). Factors influencing customers’ purchase decision of residential property in Selangor, Malaysia. Management Science Letters 9(9), 1341-1348.
    Rathnayaka, R. M. K. B., Ariyawansa, R. G., and Endagamage, D. (2020). Factors Affecting To Buying Decision Of Middle-Income House Buyers: Study On Selected Middle-Income House Projects In Colombo. In Proceedings of International Conference on Real Estate Management and Valuation, 98-103.
    Rehm, M., Filippova, O., and Stone, J. (2006). The influence of vintage on house value. Pacific Rim Property Research Journal 12(3), 232-253.
    Rubin, G. M. (1993). Is housing age a commodity? Hedonic price estimates of unit age. Journal of Housing Research 4(1), 165-184.
    Smith, B. C. (2004). Economic depreciation of residential real estate: Microlevel space and time analysis. Real Estate Economics 32(1), 161-180.
    Stone, M. E. "What is housing affordability? The case for the residual income approach." Housing policy debate 17.1 (2006): 151-184.
    Sutton, G. D., Mihaljek, D. and Subelyte, A. (2017). Interest Rates and House Prices in the United States and Around the World. BIS Working Paper 665, 1-52.
    Tang, B. S., and Yiu, C. Y. (2010). Space and scale: A study of development intensity and housing price in Hong Kong. Landscape and Urban Planning, 96(3), 172-182.
    Thomas, G. E. (1999). Personal finance. Houghton Mifflin Harcourt, 1999.
    Tse, C-B., Rodgers, T., and Niklewski, J. (2014). The 2007 financial crisis and the UK residential housing market: Did the relationship between interest rates and house prices change? Economic Modelling 37, 518-530.
    Wang, W.-K. and Tsai, I.-C. (2022). House age and housing prices: a viewpoint of the optimal time for land redevelopment. International Journal of Strategic Property Management, 26(3), 172-187.
    Wang, Z. and Zhang Q. (2014). Fundamental factors in the housing markets of China. Journal of Housing Economics 2014(25), 53-61.
    Wadud, I. M., Bashar, O. H., and Ahmed, H. J. A. (2012). Monetary policy and the housing market in Australia. Journal of Policy Modeling 34(6), 849-863.
    Weise, K. (2014). Housing's 30-Percent-of-Income Rule Is Nearly Useless. Bloomberg Business Week.
    Wheaton, W. C., Torto, R. G., Sivitanides, P., and Southard, J. (1999). Evaluating risk in real estate. Real Estate Finance, 16, 15-22.
    Wong, T. Y. J., Hui, C. M. E., and Seabrooke, W. (2003). The impact of interest rates upon housing prices: an empirical study of Hong Kong’s market. Property Management 21(2), 153-170.
    Wu, W. (2006). Migrant intra-urban residential mobility in urban China. Housing Studies 21(5), 745-765.
    Xu, Y., Zhang, Q., Zheng, S., and Zhu, G. (2018). House age, price and rent: Implications from land-structure decomposition. The Journal of Real Estate Finance and Economics 56(2018), 303-324.
    Xu, X-E., and Chen, T. (2012). The effect of monetary policy on real estate price growth in China. Pacific-Basin Finance Journal 20(1), 62-77.
    Xu, T. (2017). The Relationship between Interest Rates, Income, GDP Growth and House Prices. Research in Economics and Management 2(1), 30-37.
    Xu, Y., Zhang, Q., and Zheng, S. et al. (2018). House Age, Price and Rent: Implications from Land-Structure Decomposition. J Real Estate Finan Econ 56, 303–324.
    Zhou, Z. and Zhang A. (2021). High-speed rail and industrial developments: Evidence from house prices and city-level GDP in China. Transportation Research Part A: Policy and Practice 2021(149), 98-113.
    Zhang, H., Li, L., Hui, E. C-M., and Li, V. (2016). Comparisons of the relations between housing prices and the macroeconomy in China’s first-, second-and third-tier cities. Habitat International 57, 24-42.
    Zhu, B., Betzinger, M., and Sebastian, S. (2017). Housing market stability, mortgage market structure, and monetary policy: Evidence from the euro area. Journal of Housing Economics 37, 1-21.
    Zumpano, L.V., Elder, H.W., and Baryla, E.A. (1996). Buying a house and the decision to use a real estate broker. J Real Estate Finan Econ 13, 169–181.
    內政部營建署 (2011). 房價負擔能力計算方式與國際各國比較. 中華民國政府委託研究計劃.
    毛麗琴 (2009). 影響房價變動因素之探討-以高雄市區爲例. 商業現代化學刊, 5(2), 141-156.
    王健安 (2004). 如何解讀政府發佈之房價負擔能力的統計資訊? 貨幣觀測與信用評等110(11), 34-53.
    林左裕 (1999). 東西五國住宅經驗之比較與臺灣住宅政策之前瞻. 台灣土地金融季刊, 36(3), 9-30.
    林佑儒 (2021).臺灣七大都市地區房價所得比之差異與迷思—購屋者擁屋數與主觀因素分析. Journal of housing 30(1), 1-22.
    林家興 (2003). 應用 [華人家庭動態資料庫] 建立台灣家戶之住宅權屬選擇模型. 國立成功大學博士班畢業論文.
    邱琳 (2024). 人均收入、房屋竣工面積及貨幣政策對重慶房價影響的VAR模型分析——基於重慶1999~2018年度數據. 社會科學前沿, 13(2), 1232-1241.
    高國峰 (2000). 台北市合理房價之研究-從住宅負擔能力之角度分析. 國立政治大學地政系碩士論文.
    胡誌芳 (1989). 台北市民住宅選擇與購屋能力之研究. 國立政治大學地政系碩士論文.
    薛立敏 (1996). 臺灣地區的住宅負擔能力與合理房價. 經濟前瞻 47, 118-121.
    薛立敏, 林佶賢及顏志龍 (2009). 台灣地區男性出生世代對住宅租擁選擇與住宅消費之影響—兼論住宅消費的世代公平性. 住宅學報 18(2), 69-92.
    張金鶚. (1997). 房地產投資與決策分析:理論與實務. 華泰.
    張金鶚, 高國峰及林秋瑾 (2001). 台北市合理房價-需求面分析. 住宅學報 10(1), 51-66.
    張金鶚, 楊宗憲及洪御仁 (2008). 中古屋及預售屋房價指數之建立, 評估與整合─ 台北市之實證分析. 住宅學報 17(2), 13-34.
    陳明吉, 蔡怡純及張金鶚 (2003). 住宅負擔能力惡化之再檢視—台北市住宅市場分析. 台大管理論叢 14(1), 47-78.
    陳彥仲及呂昭宏 (2013). 建立購屋負擔風險指數再檢視家戶住宅之購屋能力-台北與高雄地區購屋家戶之比較. 住宅學報 22(1), 107-129.
    陳慧敏及張金鶚 (1993). 由購屋能力與補貼公平探討我國購屋貸款制度. 台灣土地金融季刊, 30(1), 19-28.
    曾平毅 (1994). 都會區擁屋力之初探. 都市與計劃 21.2 (1994), 173-190.
    徐建國 (2011). 低利率推高房價:來自中國、美國和日本的證據. 上海金融2011(12), 5-13.
    馮正民 (1994). 台北都會區房價與房價支付能力之研究, 行政院國科會研究計畫.
    黃迪南 (1999). 高雄市加護對期望購屋能力之研究, 國立成功大學都市計畫研究所碩士論文.
    黃瓊瑩及林秋瑾. (2004). 購屋者住宅投資風險衡量之研究—風險值之應用. Journal of Taiwan Land Research, 7(1), 71-94.
    彭建文, 吳森田及吳祥華(2007). 不動產有效稅率對房價影響分析-以台北市大同區與內湖區為例. Journal of Taiwan Land Research 10(2), 49-66.
    曹証鈞(2010). 購屋負擔能力與住宅政策:以台北市為例, 國立政治大學財政研究所碩士論文, 1-69.
    Description: 碩士
    國立政治大學
    財務管理學系
    111357019
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0111357019
    Data Type: thesis
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