鶯歌捷運線對房價的影響

NCUIR > School of Management at National Central University > Executive Master of Industrial Economics > Electronic Thesis & Dissertation > Item 987654321/83707

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/83707

Title:	鶯歌捷運線對房價的影響
Authors:	高汀琰;Kao, Ding-Yan
Contributors:	產業經濟研究所在職專班
Keywords:	鶯歌
Date:	2020-07-09
Issue Date:	2020-09-02 16:57:14 (UTC+8)
Publisher:	國立中央大學
Abstract:	隨著鶯歌捷運線動工，帶給市民對於未來交通便利性的期待及城市發展未來性的經濟效益，是否會反應於房價上，是本文主要研究的方向。本研究資料係以內政部不動產交易實價登錄取得 101 年 10 月至 108 年 12 月間之交易資料做為研究分析的樣本，採用特徵價格法分析房地產交易價格，實證結果顯示，大部分影響因素與不動產價格之間存著顯著相關。研究結果顯示，「稅制改革」、「捷運計畫」、「離捷運站距離」、「土地面積」、「屋齡」、「建物型態」、「建物面積」以及「樓層」皆達顯示水準，表示對於房地產價格具有解釋能力，其中「捷運計畫」、「土地面積」、「樓層」、「建物型態」及「建物面積」與不動產價格呈正相關，而「稅制改革」、「離捷運站距離」及「屋齡」與不動產價格呈負相關。「容積管制」與「分區管制」雖未達顯著，但其顯著水準 t 值均不低，仍可推論與房地產價格有相當程度上之關聯性，分析結果表示大多數影響變數對於房地產價格具有解釋能力。而離捷運站距離因素對於房價影響最為顯著，意味區位因素仍是大多數人購屋最大的考量。;With the commencement of the Yingge MRT line, whether the expectations of the public for future transportation convenience and the future economic benefits of urban development will be reflected in housing prices are the main directions of this research. The study data is based on the real estate transactions price registration of the Ministry of the Interior. The data obtained from August 2012 to March 2020 was used as a sample for research analysis, discussing by the Hedonic price method. The empirical results show that most of the influencing factors are significantly related to the real estate prices. The results show that "Tax Reform", "MRT Project", "Distance from MRT Station", "Land Area", "House Age", "Building Type", "Building Area" and "Floor" are significantly related to the real estate prices that they have the ability to explain real estate prices. Among them, "MRT Project", "Land Area", "Floor", "Building Type" and "Building Area" are positively related to real estate prices, while "Tax Reform", "Distance from MRT station" and "house age" are negatively related to real estate prices. Although the "Floor Area Ratio Rule" and " Use Zoning " are not significant, but their significant level t-value is not low, that there is a considerable degree of correlation with real estate prices. It can still be inferred the analysis results show that most of the impact variables have an explanation for real estate prices. The distance factor from the MRT station has the most significant impact on house prices, which means that the location factor is still the biggest consideration for most people while buying a house.
Appears in Collections:	[Executive Master of Industrial Economics] Electronic Thesis & Dissertation

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