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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

台北都會區不同住宅類型及其面積價差之研究

李泓見, Lee, Hung-Jian Unknown Date (has links)
從過去研究房價的文獻中發現,影響房價主要除了地理空間、面積、樓層外,住宅類型也是相當關鍵的一項因素,而過去文獻對此因素欠缺深入討論,因此本文從台北地區常見住宅類型─透天、套房與電梯大廈的角度出發,探討住宅類型對於單價的影響,另外從個別住宅類型下探討面積與住宅單價的關係。 本文在控制各項住宅特徵後,從住宅供需、典型住宅、非線性價格策略的角度觀察住宅類型影響單價的程度,另一方面,從不同住宅類型下檢測面積與單價關係為何?藉由台北縣市新推個案資料,實證研究結果發現:(1)在住宅品質控制下,套房每坪單價高於透天住宅6.76%,更高於電梯大廈10.72%,而透天住宅每坪單價高於電梯大廈3.7%。 (2)在不同住宅類型中,透天與電梯大廈住宅其面積顯著影響房價,且呈現邊際價格遞增的數量溢價現象。 關鍵詞:住宅類型、典型住宅、面積、單價
2

都會區房價泡沫形成之研究-以台中市獨立式及集合式住宅為例 / Research on the Bubble in Metropolitan Area-Cases of Detached Houses and Condominiums in Taichung

黃雅祺, Huang, Ya Chi Unknown Date (has links)
有鑒於以往房價泡沫文獻較少探討泡沫與房屋特徵間的關係,本文援引特徵價格法研究內外部特徵對房價泡沫的影響。藉由所建構之台中市房屋交易個案資料庫,將交易區分為獨立式住宅與集合式住宅,並考量明星學區環域的影響,全面納入「建築內部」、「教育」、「休閒」、「生活機能」、「區位」、「交通」、「安全」、「鄰避設施」八類衡量生活品質的房屋特徵,以房價泡沫取對數值作為應變數,住宅與各類設施距離取對數值為自變數,將樣本區分為六十五個學區進而實證歸納出學區環域內容易被炒作的特徵。 房地產市場中的獨立式住宅及集合式住宅兩大類商品,其在追求生活品質的同時符合Hotelling模型極小化產品差異的結果,由研究成果顯示集合式住宅渴望在繁榮的鬧區保有安靜的生活環境,而獨立式住宅則是在空曠的郊區追求生活機能,前者為「鬧中取靜」,後者為「靜中取鬧」,換言之集合式住宅與公園綠地等休閒設施距離越近泡沫越大,但對於會帶來大量車流和人潮的交通樞紐及大型遊樂場所等則是距離越遠,泡沫越大,獨立式住宅方面則是距離連鎖餐飲、便利商店等生活機能設施越近,泡沫越大。 / Since there were not many papers focusing on the topic of the relationship between bubbles and housing characteristics, this paper studies the internal as well as the external causes of housing bubble by adopting the canonical Hedonic Pricing Method. By utilizing a constructed unique database composed of Taichung housing transactions, the detailed features of transactions on the detached houses and condominiums can be investigated. The "Building Interior", "Education", "Leisure", "Living Infrastructure", "Location", "Transportation", "Security", and "NIMBY" are collected as the measurement of quality of life in housing characteristics to complement the Star School District impact in the educational buffer. Using the level of house price bubbles as dependent variable and dividing the selected area into 65 school districts, and discover what factors are used for house price speculation. The results show similar demand on the quality of life, in line with Hotelling Model, in both the transactions of detached houses and condominiums. The residents of condominium; however, prefers living in the prosperous urban area with Serene environment whereas the occupants of detached house would choose to live in the spacious suburban area with decent local living facilities. In other words, the closer the condominiums are with leisure facilities, such as public park, and the further they are with facilities that gathers crowd and traffic, such as transportation hub and entertainment facilities, the larger the bubble. The further the detached houses are with living function facilities such as chain restaurants, convenient stores, the larger the bubble.

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