臺灣博碩士論文加值系統

本研究探討豪宅興建與興建完成後所產生的空間外溢效果，能否有助於其鄰近地區之住宅價格的提升，並探討鄰近住宅所存在空間相依性(spatial dependence)。以臺北市已完工之豪宅案例為分析對象。以差異中之差異法(difference in difference, DD)結合空間計量做為研究方法。本研究利用地理資訊系統(geographic information system, GIS)和空間統計分析軟體GEODA進行空間計量經濟學的空間落遲模型(spatial lag model)和空間誤差模型(spatial error model)之估計。實證結果顯示，以空間誤差模型配適度最佳，將距離劃分為300、500、800公尺，並將豪宅取得建造與使用執照前後設立虛擬變數，開工興建之距離300、500、800公尺空間誤差模型，其差異中差異法互動變數係數分別為0.099、0.153、0.173，均達1%顯著水準，表示離豪宅越遠住宅價格越高，300公尺價格會增加約9.9%，到500公尺增加15.3%，800公尺上漲到17.3%。興建完成，差異中差異法互動變數係數為0.093、0.083、0.076，均達1%顯著水準，表示離豪宅越近住宅價格越高，300公尺價格會增加約9.3%，到500公尺增加8.3%，800公尺增加7.6%。豪宅開工興建與興建完成後對豪宅鄰近範圍內之住宅價格具有正向的影響效果。

This study investigated the spatial spillover effects of luxury housing during and after construction in regards to increases in housing prices in neighboring areas as well as the spatial dependence of neighboring housing. This study focused on already completed luxury housing in Taipei, Taiwan. The difference-in-difference (DD) method was used along with spatial metrics. A geographic information system and the spatial statistical analysis software GeoDa were used to conduct spatial econometrics estimations including the spatial lag model and spatial error model. The results indicated that the spatial error model had the best goodness of fit. At distances of 300, 500, and 800 meters and using building and occupancy permits as dummy variables, the spatial error model DD interaction variable coefficients for construction distances of 300, 500, and 800 meters were 0.099, 0.153, and 0.173, respectively, each reaching the 1% level of significance. This indicated that housing prices farther from luxury housing were higher; housing prices at 300 meters increased 9.9%, those at 500 meters increased 15.3%, and those at 800 meters increased 17.3%. After construction was completed, the spatial error model DD interaction variable coefficients were 0.093, 0.083, and 0.076, respectively, each reaching the 1% level of significance. This indicated that housing prices closer to luxury housing were higher; housing prices at 300 meters increased 9.3%, those at 500 meters increased 8.3%, and those at 800 meters increased 7.6%. The influences of luxury housing construction and completion had positive effects on neighboring housing prices.

誌謝 I
摘要 II
ABSTRACT III
目錄 IV
表目錄 V
圖目錄 VI

一、前言 1
(一) 研究動機與目的 1
(二) 研究內容與範圍 3
(三) 研究流程 3

二、文獻回顧 5

三、實證模型建構 9
(一)差異中之差異法 9
(二)差異中之差異法結合空間計量模型 12
(三)變數選取說明 14

四、台北市豪宅發展現況 21
(一)豪宅定義 21
(二)豪宅發展現況 22

五、資料來源說明與樣本描述統計量 24
(一)資料來源說明 24
(二)樣本統計量描述與母體平均數檢定 30

六、實證結果 33

七、討論 46

八、結論與建議 56
(一)理論意涵 56
(二)實務意涵 57
(三)研究限制與後續研究建議 58

參考文獻 59
中文部分 59
英文部分 60
附錄 67

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