本研究為瞭解影響房價的實質屬性，應用特徵價格模型實證台南地區最具代表的科學工業園區為主要研究對象來分析周遭區域房價的影響因素。本研究將影響房價的因素分為房屋屬性變數與總體經濟變數兩大項，再以2015年第一季至2018年第四季之內政部地政司不動產交易實價資料進行研究。分別以迴歸模式建構善化區、新市區、安定區的房價特徵價格模型，加以進行特徵價格分析，以提供有買賣或投資需求的人做為參考。實證結果顯示，影響房價最為顯著的因素為土地的移轉面積、屋齡與距南科的距離，而影響房價的主因是土地移轉的面積越大會使房價的上升、屋齡的數值越大，也會使建物的價格越小、且不論地域為何，距離科學園區越近房價皆顯示負相關，表示科學園區的設置確實有帶動周邊房價的效果。 In order to understand the substantial attributes affecting house prices, this study applied hedonic price theory to empirically analyze the factors affecting the real estate prices of area surrounding Tainan Science Park, the most representative model among Tainan City. In this study, the factors affecting house price were divided into two items, housing attribute variables and overall economic variables. The real estate transactions from the first quarter of 2015 to the fourth quarter of 2018 compiled by Lands Department, Ministry of the Interior were downloaded for empirical analyses. The regression analysis was applied to build hedonic price model for estate prices in Districts of Shanhua, Xincheng and Anding, and run the hedonic price analysis in order to provide a reference for those doing house trading or investment. Our empirical results indicate that the most significant factors affecting housing prices were area of land transfer, house age and distance from Tainan Science Park. The major conclusions were the larger area of land transfer, the higher the house price and the older the house, the lower the building price. No matter which district, the distance nearer from Tainan Science Park positively increasing house price. Therefore, the establishment of Tainan Science Park indeed significantly raised the housing price for its neighboring areas.
