臺灣博碩士論文加值系統

不論是有購屋需求的年輕首購族,或是因應子女成長、學區、交通便利等考量的換屋族,均面臨相同的困境,就是在薪資短時間內漲幅不大的狀態下,除了要面對民生必需品的支出提高外,還必須負擔高房價所帶來的高房貸,造成生活品質降低、無法儲蓄等問題出現,使想要買房的人們為之卻步。
目前,台灣有台北市、新北市、桃園市、台中市、台南市以及高雄市等六直轄市,舉凡人口密度、產業經濟、交通運輸等,台北市的發展程度相對其他直轄市而言,較為成熟,因此,本研究將以台北市作為研究對象。
本研究旨在探討房屋內在條件對房屋單坪價格的影響,以台北市為主要研究對象,透過「信義房屋」網站篩選房屋型態符合住宅用途條件的資料進行分析。實證結果顯示,在各項變數當中,屋齡、成交時間、車位、臥室、客廳、樓高與房價呈現負向關係,而街道排名、土地持份、浴室、樓層與房價呈現正向關係。

Young first-time homebuyers in need of a house and individuals looking to move into a new house out of child-rearing, school district, or commute considerations are confronted with the same predicament. Without any immediate
increase in their wages, these homebuyers must confront the increased costs of
daily necessities while subjected to the burden of a high housing mortgage
resulting from high housing prices. The mentioned situations incur problems such
as reduced quality of life and inability to save money, which deter people from
purchasing houses.
There are currently six municipalities in Taiwan, namely Taipei, New Taipei,
Taoyuan, Taichung, Tainan, and Kaohsiung. Compared with other cities, Taipei is
more developed in terms of population density, industrial economics, and
transportation. Therefore, this study selected Taipei as the research subject.
This study explores how the internal conditions of a house affect the housing
price per ping (Taiwanese unit of area) in Taipei. Derived from the Sinyi Realty
website, data of houses that meet the residential use requirements were analyzed.
The empirical results demonstrated that among all variables, the age of the house, transaction time, availability of parking spaces, number of bedrooms, inclusion of a living room, and the number of stories are all negatively correlated with housing prices, whereas the neighborhood ranking, allocation of landholding, number of bathrooms, and floor layout are positively correlated with housing prices.

目錄 ......................................................... I
圖目錄 ...................................................... II
表目錄 ..................................................... III
第一章 緒論
第一節 研究背景與動機 ................................... 1
第二節 研究目的 ......................................... 8
第三節 研究範圍與步驟 .................................. 10
第二章 文獻探討
第一節 外在因素與房價之間的關係 ........................ 11
第二節 內在因素與房價之間的關係 ........................ 13
第三章 研究設計與方法
第一節 研究樣本與資料來源 .............................. 14
第二節 研究變數定義 .................................... 15
第三節 研究假說與相關統計檢定 .......................... 16
第四章 實證結果與分析 ...................................... 17
第五章 結論與建議 .......................................... 21
參考文獻 .................................................... 22

參考文獻

一、英文文獻
1. Asabere, P. K., and Huffrnan, F. E. (2013), "The Impact of Relative Size on Home Values" The Appraisal Journal
2. Chen, Ming-Chi. and Kanak, P. (1998), " JOURNAL of The Asian Real Estate Society, " Vo1.1, No 1, 101-126
3. Dennis, R. C., Patric, H. H., Charlotte, M., Christopher, J. M. (2002), "Determinants of Real House Price Dynamics," National Bureau of Economic Research NO. 9262
4. Jim, C., Norman, M. and Liang, P. (2007), "Price-Volume Correlation in the Housing Market: Causality and Co-Movements, " Manuscript submitted for publication
5. Jud , G. D. and Winkler, D. T. (2002), " The Dynamics of Metropolitan Housing Prices, " Journal of Real Estate Research, Vol. 23, No 1-2
6. Liang, P. and Thomas, G. Thibodeau (2013), "Idiosyncratic Risk of House Prices: Evidence from 26 Million Home Sales," Manuscript submitted for publication
7. Liang, P. (2011), "Risk and Returns of Commercial Real Estate: A Property Level Analysis," Manuscript submitted for publication
8. Liang, P. (2011), "Risk Segmentation of American Homes: Evidence from Denver," Manuscript submitted for publication
9. Liang, P. and Thomas, G. Thibodeau (2011), "Neighborhood Attributes and House Price Risk," Manuscript submitted for publication
10. Markus, H. and Heikki, K. (2013), "Buying a Home with a Resale Value: Location, Location, Location," The Scandinavian Journal of Economics 115(4), 1046-1083
11. Nicole, A., Martin, B. and Enzo, R. (2013), "Transaction Taxes, Capital Gains Taxes and House Prices," Swiss National Bank Working Papers
12. Robert, M. S. (1982), " American Economic Association " The American Economic Review Vol.72, No. 1, 143-153
13. Richard C.K. Burdekin and Ran Tao (2014), "Chinese Real Estate Market Performance," The Chinese Economy, Vol.47, No. 2
14. Simmons M, Tammie X.; Lubwama, C; Pan, F.S (2013), "In Retrospect: An Early 2000 Affordability Analysis of House Price in The San Francisco Bay Area," Journal of International Finance & Economic, Vol.13 Issue 4 , p49

二、中文文獻
1. 吳明倫,「台灣人口老化對房價與總體經濟的影響」,國立臺北大學經濟學研究所碩士論文,2014。
2. 洪淑娟、雷立芬,「中古屋、預售屋/新成屋房價與總體經濟變數互動關係之研究」,台灣銀行季刊,第 61 卷第 1 期,2010。
3. 陳益財,「總體經濟、金融政策與房地產市場景氣對房價影響之研究」, 南華大學財務管理碩士班碩士論文,2014。
4. 陳威榕,「影響區域房價動態相關性之因素分析:以美國東部、西部以及五大湖區分為例」,國立中山大學財務管理學系碩士論文,2014。
5. 陳隆麒、李文雄,「臺灣地區房價、股價、利率互動關係之研究-聯立方程式模型與向量自我迴歸模型之應用」,Journal of Financial Studies,Vol.5, No.4,1998。
6. 陳智鈞,「奢侈稅實施對都會地區房價之衝擊反應分析」,國立中央大學產業經濟研究所碩士論文,2014。
7. 馬先右,「房價相關因素探討-台灣 90 年至 100 年第一季的實證研究」, 國立台灣科技大學企業管理研究所碩士論文,2012。
8. 張伯群,「中央銀行的匯率政策:金融風暴前後的跨國比較」,中國文化大學經濟學系碩士論文,2012。
9. 彭建文 吳森田 吳祥華,「不動產有效稅率對房價的影響分析-以台北市大同區與內湖區為例」,台灣土地研究,第十卷第二期,2006。
10. 游淑滿,「住宅成本與總體經濟因素對房價之實證分析」,國立屏東商業技術學院不動產經營所碩士論文,2006。
11. 黃佩玲,「住宅價格與總體經濟變數關係之研究-以向量自我迴歸模式(VAR)進行實證」,國立政治大學地政研究所碩士論文,1994。
12. 趙冠樺,「消費者購買房屋行為意向之研究」,高苑科技大學經營管理,研究所碩士論文,2012。
13. 鄭銀祝,「奢侈稅實施對房地產市場影響之研究—以高雄市為例」,國立高雄應用科技大學碩士論文,2011。
14. 廖慧玲,「貨幣供給、新台幣匯率對房價指數與股價報酬率關聯性之研究」,台北大學國際財務金融碩士論文,2011。
15. 蔡松穎,「房屋以實價課稅之分析-以金融業的角度」,國立高雄應用科技大學商務經營研究所,2012。