| 研究生: |
歐陽輝 OU YANG, HUI |
|---|---|
| 論文名稱: |
銀行不動產授信曝險上限壓力與價格型授信緊縮對臺灣房價指數之影響 The Impact of Bank Real Estate Lending Exposure Cap Pressure and Price-Based Credit Tightening on Taiwan's House Price Index |
| 指導教授: |
王澤世
Wang, Tse-Shih |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 財務金融研究所 Graduate Institute of Finance |
| 論文出版年: | 2026 |
| 畢業學年度: | 114 |
| 語文別: | 中文 |
| 論文頁數: | 86 |
| 中文關鍵詞: | 銀行法第 72-2 條 、授信曝險上限 、房貸利率加碼 、房價指數 、ARDL 模型 |
| 外文關鍵詞: | Banking Act Article 72-2, lending exposure cap, mortgage rate markup, house price index, ARDL model |
| 相關次數: | 點閱:3 下載:0 |
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近年臺灣房價持續上漲,銀行不動產授信集中度亦逐漸升高,使不動產授信管制與房價變動之關係受到關注。過去研究多聚焦於中央銀行選擇性信用管制等需求面政策,較少從銀行端供給面監理限制出發,探討《銀行法》第72-2條所形成之不動產授信曝險上限壓力對房價之影響。基於此,本研究以授信曝險上限壓力(Gap)與房貸利率加碼(Rate_Markup)為數量型與價格型授信條件代理變數,檢驗其對臺灣房價指數成長率之長短期影響。
本研究使用2012年第3季至2025年第2季之季資料,以內政部全國住宅價格指數之對數成長率為應變數,並納入短期利率、實質經濟成長率、消費者物價指數及貨幣供給量作為控制變數。研究方法採用自我迴歸分配落後模型(ARDL),進行單根檢定、邊界共整合檢定、長短期係數估計與誤差修正模型分析。
實證結果顯示,各變數均符合ARDL模型適用條件,且邊界檢定支持變數間存在長期共整合關係。長期估計方面,各變數係數方向具有一定經濟意涵,惟多數長期係數未達統計顯著水準,顯示銀行授信條件對房價之長期約束效果有限。短期結果顯示,授信曝險壓力變動項對房價成長率具有顯著影響,且效果落後兩期,表示授信空間變化可能透過信用供給與資金可得性,影響房價短期波動。房貸利率加碼雖短期顯著,但方向與預期不一致,顯示價格型授信調整機制較複雜。誤差修正項為負且具統計意義,修正速度約32.75%,顯示市場具動態收斂能力。
整體而言,本研究發現,銀行授信監理壓力對臺灣房價之影響主要反映於短期動態調整,而非長期價格決定效果。相較於房貸利率加碼,銀行不動產授信空間之變化更可能透過信用供給條件影響房價短期波動。此結果凸顯供給面監理限制在房市短期穩定與金融風險控管上之重要性,並補充既有文獻偏重需求面信用管制之不足。
This study examines the effects of bank real estate lending exposure cap pressure and price-based credit tightening on Taiwan’s house price growth. Unlike previous studies that mainly focus on demand-side credit controls, this study emphasizes the supply-side constraint imposed by Article 72-2 of the Banking Act. Using quarterly data from 2012Q3 to 2025Q2, this study applies the autoregressive distributed lag (ARDL) model to investigate both long-run and short-run relationships. The results indicate the existence of a long-run cointegration relationship among house price growth, bank lending conditions, and macroeconomic variables. However, most long-run coefficients are not statistically significant, suggesting limited long-run effects of bank lending conditions on house price growth. In contrast, changes in lending exposure cap pressure significantly affect house price growth with a two-quarter lag in the short run. Mortgage rate markup is also significant in the short run, although its estimated sign differs from the expected direction. The error correction term is negative and statistically significant, with an adjustment speed of approximately 32.75 percent per quarter. Overall, the findings suggest that bank lending regulatory pressure primarily affects house prices through short-run dynamic adjustments rather than long-run price determination.
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