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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/110679


    題名: The Heterogeneous Effects of TSMC Facility Announcements on Residential Housing Prices: Evidence from Kaohsiung and Three Major Cities in Taiwan;The Heterogeneous Effects of TSMC Facility Announcements on Residential Housing Prices: Evidence from Kaohsiung and Three Major Cities in Taiwan
    作者: 蘇郁捷;SU, YU-CHIEH
    貢獻者: 產業經濟研究所
    關鍵詞: 台積電;設廠公告;住宅房價;事件研究法;城市異質性;TSMC;facility announcements;residential housing prices;event study;city heterogeneity
    日期: 2026-07-21
    上傳時間: 2026-10-20 16:18:01 (UTC+8)
    出版者: 國立中央大學
    摘要: 本研究以台積電設廠公告作為事件,探討重大科技投資消息對住宅價格之影響,
    並比較台中、台南與高雄三個城市在不同設廠型態下的差異。本文使用內政部不動產
    實價登錄資料,並以行政院主計總處公布的消費者物價指數調整住宅單價,建立公告
    前後各距離帶之住宅交易樣本。實證方法採用DiD 事件研究法,以廠區周邊距離帶作
    為處理組,並以較遠距離帶作為控制組,觀察公告後鄰近地區相對於遠距地區的房價
    變化。

    研究結果顯示,台積電設廠公告對住宅價格的影響並非在三個城市皆呈現一致的
    上漲效果,而是受到城市發展背景、設廠型態與市場預期形成時間影響。高雄作為新
    設廠案例,公告後鄰近地區房價呈現較明確且持續的正向反應,但正式公告前相關消
    息已逐漸流傳,顯示部分價格效果可能提前反映。台南屬於既有科技聚落中的先進製
    程擴張,不同距離帶房價呈現同步上升,使近區相對效果較不明顯。台中則為既有廠
    區擴廠案例,城市內部的空間房價結構較為複雜,不同距離帶受到既有都市發展與高
    價住宅區影響,因此公告後的相對房價反應較不穩定。

    本研究指出,重大產業投資對住宅價格的影響不僅取決於投資本身,也與地方既
    有產業基礎、房市發展狀態、城市特性及市場預期密切相關。因此,在分析科技投資
    與房價變化時,應納入城市異質性與事件特性,避免將不同城市視為具有相同的市場
    反應機制。;This study uses TSMC fab announcement events to examine the impact of major technology investment announcements on residential housing prices. It further compares the differences among Taichung, Tainan, and Kaohsiung under different types of fab investment. This study uses housing transaction data from the Actual Price Registration of Taiwan’s Ministry of the Interior and adjusts housing unit prices using the Consumer Price Index published by the Directorate-General of Budget, Accounting and Statistics. Based on these data, transaction samples are constructed for different distance bands before and after the announcements. The empirical analysis uses a DiD event study approach. Areas closer to the TSMC fabs are defined as the treatment group, while areas farther away are used as the control group. This study then examines changes in housing prices in nearby areas relative to farther areas after the announcements.

    The results show that TSMC fab announcements do not lead to a consistent increase in housing prices across all three cities. The effects are related to each city’s development background, the type of investment, and the timing of market expectations. In Kaohsiung, as a new fab investment case, housing prices in nearby areas show a clearer and more persistent positive response after the announcement. However, related news had already spread before the official announcement, suggesting that part of the price effect may have been reflected in the market earlier. In Tainan, the investment represents an advanced process expansion within an existing technology cluster. Housing prices across different distance bands increased in a similar pattern, making the relative effect in nearby areas less clear. In Taichung, the case is an expansion of an existing fab, and the city’s more complex spatial housing price structure leads to a less stable and less consistent estimated response after the announcement.

    This study suggests that the effect of major industrial investment on residential housing prices does not depend only on the investment itself. It is also closely related to the existing local industrial base, housing market conditions, city characteristics, and market expectations. When analyzing the relationship between technology investment and housing price changes, city-level differences and event characteristics should be taken into account, as market responses can vary across cities.
    顯示於類別:[產業經濟研究所] 博碩士論文

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