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標題: | 影響住宅價格的因素—以淡水鎮為例 Determinants of Housing Price:Case study in Tamsui |
作者: | Bao-Ren Wu 吳寶仁 |
指導教授: | 林建甫(Chien-Fu Lin) |
關鍵字: | 住宅價格,淡水,區位影響, housing price,Tamsui, |
出版年 : | 2011 |
學位: | 碩士 |
摘要: | 淡水鎮是過去台灣發展歷史當中,扮演著舉足輕重角色的一個小鎮,由河運貿易而開始了繁榮的發展年代;而在淡水河淤積之後,因緣際會的藉著淡水河岸的美景,而成為台灣著名的觀光景點;近年來則因為淡海新市鎮的開發,又將淡水鎮的發展帶到了另一個不同的境界。自然與人為的因素,使得淡水發展成為與台北市區截然不同的型態,區內各個區域也獨自發展成為具有明顯差異性的分區。
影響住宅價格的因素有許多,包括住宅環境特色以及住宅本身的一些屬性,眾多的因素對住宅的價格有著不同的影響,那些因素具有絕對性的影響,各個因素的影響方向以及影響程度都仍未清楚,歷來研究亦無恆定性的結論。 本研究以淡水鎮為例,蒐集內政部地政司的房屋交易資料,探討淡水鎮內各項可能影響住宅價格的因素,其影響的方向以及程度;並試著將淡水鎮劃分成不同區域,以分析不同的環境因素是否會使得影響住宅價格的因素有所改變。結果發現,探討全區時,位處淡水鎮不同區域的住宅其價格亦不相同,其他如臨路寬度、是否臨路、總樓高、移轉土地面積等因素,都有正向影響且顯著;是否為鋼筋混凝土造、屋齡、移轉房屋面積則是有負向影響,同樣也顯著;所在樓高及是否為住宅區的影響則並不顯著。 而分區的探討發現影響住宅價格的因素的確會受到環境所影響,房屋結構在各區域間影響方向相同,但顯著程度不同;臨路寬度、所在樓高、總樓高、是否為住宅區等因素,影響的方向以及顯著程度都不盡相同;僅有是否臨路、屋齡、移轉土地面積、以及移轉房屋面積的影響方向相同且顯著程度類似。 Tamsui played a important role in Taiwan's history of past development. It started its era of prosperity and development by the river trade. After the siltation in the Tamsui River, it became a well-known scenic in Taiwan because of the beautiful landscape of riverbank. In recent years, due to the development of Danhai new town, it developed to a different realm. Natural and human factors makesTamsui developed into different types of Taipei. Each district in Tamsui also developed into significant different realm The determinants of housing price are many, including the residential environment as well as the home itself. Many of the determinants has a different effect. It’s not clear that which factors has bigger influence and the directions and degree of these influences. No research can make a constant conclusion. Taking Tamsui for example, collected the data from Department of Land Administration. Explore those factors which can affect the housing prices in Tamsui, finding the directions and degree of its impact. Try to divided Tamsui into different areas to analyze if different environmental factors will make the factors affecting housing price changes. The results showed that, when taking the whole town, location does matter. Other as road width, if face road, total floors, and house area have significant positive effects. But structure, housing age, housing area have significant negative impact. And height and residential areas is not significant. When taking partition, factors found to affect house prices will be influenced by the environment. Housing structures has the same impact direction across regions, but significantly level differs. Road width, height, total floor, residential area have different impact direction and degree. Only whether face road, house age, land area, and housing area have same impact direction and similar degree in the significant level. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/24733 |
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