| 研究生: |
陳忠彥 Chen, Chung-Yen |
|---|---|
| 論文名稱: |
以決策樹與迴歸分析法預測嘉義科學園區周邊的房價 Decision Tree and Regression Analysis for Forecasting the House Prices nearby the Chiayi Science Park |
| 指導教授: |
潘南飛
Pan, Nang-Fei |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 土木工程學系 Department of Civil Engineering |
| 論文出版年: | 2025 |
| 畢業學年度: | 114 |
| 語文別: | 中文 |
| 論文頁數: | 184 |
| 中文關鍵詞: | 決策樹 、線性回歸 、科學園區 、台積電 、房價預測 |
| 外文關鍵詞: | Decision Tree, Linear Regression, Science Park, TSMC, Housing Price Forecast |
| 相關次數: | 點閱:5 下載:0 |
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嘉義縣向來以傳統農業發展為主,然自民國109年12月19日,時任行政院長蘇貞昌正式宣布於嘉義縣設立科學園區後,地方產業結構迎來重大轉折。其後,於民國113年3月18日,時任行政院副院長鄭文燦宣布,台灣積體電路製造股份有限公司(簡稱台積電,俗稱「護國神山」)將於嘉義科學園區設立先進封裝廠(CoWoS),此舉被視為嘉義縣房市發展的重要里程碑。
台積電過去於新竹科學園區及台南科學園區設廠,已為地方帶來顯著的經濟效益與房價成長。另於2021年10月14日之財報會議中,台積電亦宣布赴日本熊本設立半導體工廠。日本政府為配合投資計畫,積極推動相關公共建設,包括學校、車站、道路與住宅等設施。熊本原為日本典型農業縣市,因高科技產業進駐,當地薪資水平快速提升,並帶動地區房價與物價上漲,顯示半導體產業落腳能有效促進區域經濟與房市發展。對照臺灣新竹及台南的經驗,嘉義科學園區未來是否能重現類似榮景,亦備受期待。
另一方面,內政部自民國101年8月起推動不動產交易實價登錄制度,並設立「不動產交易實價查詢服務網」,提供透明化資訊予社會大眾。本研究所蒐集之資料,均來源於該平台或其他公開數據,並運用決策樹與線性迴歸模型建構嘉義科學園區周邊房價之預測模式。
然而,自民國109年疫情爆發以來,營建材料、土地成本及人力價格逐步攀升,並伴隨政府自民國110年12月起陸續實施多波「打炒房」政策,至民國113年9月更推動被稱為「史上最嚴」的第七波管制措施,導致房市交易量明顯萎縮,較113年度同期下降約六至八成。綜上,本研究將以嘉義科學園區為核心,探討其對周邊地區房價的影響,並透過統計模型預測未來發展趨勢。
Chiayi County has traditionally been characterized by an agriculture-based economy. However, a major industrial transformation was initiated on December 19, 2020 (Minguo 109), when then-Premier Su Tseng-chang officially announced the establishment of a science park in Chiayi County. Subsequently, on March 18, 2024 (Minguo 113), then–Vice Premier Cheng Wen-tsan declared that Taiwan Semiconductor Manufacturing Company (TSMC), widely known as the “guardian of the nation,” would set up an advanced packaging plant (CoWoS) in the Chiayi Science Park. This announcement marked a milestone in the development of the local housing market.
TSMC has previously established plants in both the Hsinchu Science Park and the Tainan Science Park, generating significant economic benefits and considerable increases in housing prices in these regions. In addition, during its quarterly earnings call on October 14, 2021, TSMC announced plans to build a semiconductor plant in Kumamoto, Japan. In response, the Japanese government actively supported the investment by developing schools, railway stations, roads, housing, and other infrastructure. Kumamoto, originally an agriculture-oriented prefecture, quickly experienced rising wage levels and housing prices due to the influx of high-tech industries. This phenomenon mirrors the experiences of Hsinchu and Tainan in Taiwan, and raises expectations that the Chiayi Science Park may follow a similar developmental trajectory.
Meanwhile, since August 2012 (Minguo 101), the Ministry of the Interior has implemented the “Actual Price Registration” system for real estate transactions and has established a public online platform to improve market transparency. The data used in this study are obtained from this platform and other publicly available sources. Decision tree and linear regression models are employed to construct prediction frameworks for housing prices surrounding the Chiayi Science Park.
However, since the outbreak of the COVID-19 pandemic in 2020 (Minguo 109), the costs of construction materials, land, and labor have steadily increased. Beginning in December 2021 (Minguo 110), the government has successively launched multiple waves of housing market cooling measures, culminating in the seventh and most stringent round of regulations in September 2024 (Minguo 113). As a result, transaction volumes have sharply declined, dropping by approximately 60–80% compared with the same period in 2024. In this context, this study focuses on analyzing the impact of the Chiayi Science Park on local housing prices and employs statistical modeling to forecast future housing market trends.
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