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    政大機構典藏 > 商學院 > 財務管理學系 > 學位論文 >  Item 140.119/146284


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    題名: 中央銀行於特定地區實施LTV上限政策對房市價格之影響
    The Impact of Selective Credit Controls on House Price Implemented by the Central Bank of Taiwan on the Specific Policy Area
    作者: 朱冠穎
    Chu, Kuan-Ying
    貢獻者: 陳明吉
    Chen, Ming-Chi
    朱冠穎
    Chu, Kuan-Ying
    關鍵詞: 針對性總體審慎政策
    選擇性信用管制
    貸款成數
    斷點迴歸設計
    外溢效果
    Targeted Macroprudential Policy
    Selective Credit Controls
    Loan-to-Value
    Regression Discontinuity Design
    Spillover effect
    日期: 2023
    上傳時間: 2023-08-02 12:59:08 (UTC+8)
    摘要: 本研究旨在探討央行對特定地區所實施的選擇性信用管制政策（即貸款成數上限緊縮政策）是否為有效的管制政策，本研究所包含之樣本地區遍及全台，並依據政策形式將樣本地區劃分成政策實施區以及非政策實施區。研究期間為2010年1月至2016年12月，一共84期。
    從房市管制政策是否有效而言，針對政策實施區之分析結果顯示，央行對特定地區之管制會對房市價格產生壓制作用。延伸探討政策發布對非政策實施區房價的外溢效果則發現，政策的發布的確會使房價產生外溢效果，然而影響之方向則不一定。此次央行於2010年至2014年間的打炒房政策，有擴大管制區域之舉，故本研究亦延伸探討央行擴大政策實施範圍的背後動機為未雨綢繆或是亡羊補牢。結果顯示，即將被擴大納入的政策實施區，皆在前一期政策發布後產生房價上漲的外溢情形，因此判定央行擴大政策實施區之舉為亡羊補牢。
    綜合上述實證分析，央行於2010年至2014年針對特定地區之房市所進行的貸款成數上限緊縮政策，對政策實施區之房價皆呈現顯著的向下斷點，意即打炒房政策存在一定程度的房價壓制效果。同時也發現，只針對特定地區進行房價管制，會對鄰近地區甚至是非政策實施區產生房價外溢之現象，在方向性上則不一定。
    The aim of this study is to investigate whether the selective credit controls on house price implemented by the central bank of Taiwan in specific regions are effective. The sample areas included in this study span across Taiwan and are divided into policy areas, non-policy areas, and quasi-policy areas based on the form of policies. The study period is from January 2010 to December 2016.
    In terms of the effectiveness of housing market control policies, results of the policy areas show that there are suppressing effect on house prices. When examining the spillover effects of house prices in non-policy areas, the results indicate the presence of spillover effect. This study also extends to explore the motives behind the expansion of the implementation area, whether it is a proactive measure or a remedial action. Since the house prices in the areas rose before being included in the implementation zone, it can be concluded that the expansion of the implementation area in both cases was a remedial action.
    Based on the empirical analysis above, the tightening of loan-to-value （LTV） limits implemented from 2010 to 2014 showed a statistically significant downward break on house prices in the policy areas. At the same time, it was also observed that when only specific areas were subjected to housing price controls, the spillover effects of house prices existed, although the direction of the effects was not necessarily the same.
    參考文獻: 英文參考文獻
    Alam, Z., Alter, M. A., Eiseman, J., Gelos, M. R., Kang, M. H., Narita, M. M., Nier, E., and, Wang, N. (2019). Digging Deeper--Evidence on the Effects of Macroprudential Policies from a New Database. International Monetary Fund.
    Auffhammer, M., and Kellogg, R. (2011). Clearing the Air? The Effects of Gasoline Content Regulation on Air Quality. American Economic Review, 101(6), 2687-2722.
    Bento, A., Kaffine, D., Roth, K., and Zaragoza-Watkins, M. (2014). The Effects of Regulation in the Presence of Multiple Unpriced Externalities: Evidence from the Transportation Sector. American Economic Journal: Economic Policy, 6(3), 1-29.
    Boone, A. L., and White, J. T. (2015). The Effect of Institutional Ownership on Firm Transparency and Information Production. Journal of Financial Economics, 117(3), 508-533.
    Bruneau, G., Christensen, I., and Meh, C. (2018). Housing Market Dynamics and Macroprudential Policies. Canadian Journal of Economics/Revue canadienne d`économique, 51(3), 864-900.
    Cantoni, E., Gazzè, L., and Schafer, J. (2021). Turnout in Concurrent Elections: Evidence from Two Quasi-Experiments in Italy. European Journal of Political Economy, 70, 102035.
    Calonico, S., Cattaneo, M. D., and Farrell, M. H. (2020). Optimal Bandwidth Choice for Robust Bias-Corrected Inference in Regression Discontinuity Designs. The Econometrics Journal, 23(2), 192-210.
    Calonico, S., Cattaneo, M. D., Farrell, M. H., and Titiunik, R. (2019). Regression Discontinuity Designs Using Covariates. Review of Economics and Statistics, 101(3), 442-451.
    Calonico, S., Cattaneo, M. D., Farrell, M. H., and Titiunik, R. (2017). Rdrobust: Software for Regression-Discontinuity Designs. The Stata Journal, 17(2), 372-404.
    Calonico, S., Cattaneo, M. D., and Titiunik, R. (2014a). Robust Data-Driven Inference in the Regression-Discontinuity Design. The Stata Journal, 14(4), 909-946.
    Calonico, S., Cattaneo, M. D., and Titiunik, R. (2014b). Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs. Econometrica, 82(6), 2295-2326.
    Cattaneo, M. D., Jansson, M., and Ma, X. (2019). Lpdensity: Local Polynomial Density Estimation and Inference. arXiv preprint arXiv:1906.06529.
    Cattaneo, M. D., Jansson, M., and Ma, X. (2018). Manipulation Testing Based on Density Discontinuity. The Stata Journal, 18(1), 234-261.
    Cerutti, M. E., Correa, M. R., Fiorentino, E., and Segalla, E. (2016). Changes in Prudential Policy Instruments—A New Cross-Country Database. International Monetary Fund.
    Chen, Y., Shi, S., and Tang, Y. (2019). Valuing the Urban Hukou in China: Evidence from a Regression Discontinuity Design for Housing Prices. Journal of Development Economics, 141, 102381.
    de Araujo, D. K. G., Barroso, J. B. R. B., and Gonzalez, R. B. (2020). Loan-to-Value Policy and Housing Finance: Effects on Constrained Borrowers. Journal of Financial Intermediation, 42, 100830.
    Dai, F., Cai, F., and Zhu, Y. (2022). Returns to Higher Education in China–Evidence from the 1999 Higher Education Expansion Using a Fuzzy Regression Discontinuity. Applied Economics Letters, 29(6), 489-494.
    Dimova, D., Kongsamut, M. P., and Vandenbussche, J. (2016). Macroprudential Policies in Southeastern Europe. International Monetary Fund.
    Duan, J., Tian, G., Yang, L., and Zhou, T. (2021). Addressing the Macroeconomic and Hedonic Determinants of Housing Prices in Beijing Metropolitan Area, China. Habitat International, 113, 102374.
    Duca, J. V., Muellbauer, J., and Murphy, A. (2011). House Prices and Credit Constraints: Making Sense of the US Experience. The Economic Journal, 121(552), 533-551.
    Grainger, C. A., and Costello, C. J. (2014). Capitalizing Property Rights Insecurity in Natural Resource Assets. Journal of Environmental Economics and Management, 67(2), 224-240.
    Haurin, D. (1988). The Duration of Marketing Time of Residential Housing. Real Estate Economics, 16(4), 396-410.
    Herland, M., Khoshgoftaar, T. M., and Bauder, R. A. (2018). Big Data Fraud Detection Using Multiple Medicare Data Sources. Journal of Big Data, 5(1), 1-21.
    Imbens, G. W., and Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635.
    Jiang, Y., Li, C., Zhang, J., and Zhou, X. (2019). Financial Stability and Sustainability under the Coordination of Monetary Policy and Macroprudential Policy: New Evidence from China. Sustainability, 11(6), 1616.
    Johnston, A. C., and Mas, A. (2018). Potential Unemployment Insurance Duration and Labor Supply: The Individual and Market-Level Response to a Benefit Cut. Journal of Political Economy, 126(6), 2480-2522.
    Kelly, R., McCann, F., and O’Toole, C. (2018). Credit Conditions, Macroprudential Policy and House Prices. Journal of Housing Economics, 41, 153-167.
    Khan, M., Srinivasan, S., and Tan, L. (2017). Institutional Ownership and Corporate Tax Avoidance: New Evidence. The Accounting Review, 92(2), 101-122.
    Kiel, K. A., and Zabel, J. E. (1996). House Price Differentials in US Cities: Household and Neighborhood Racial Effects. Journal of Housing Economics, 5(2), 143-165.
    Klingelhöfer, J., and Sun, R. (2019). Macroprudential Policy, Central Banks and Financial Stability: Evidence from China. Journal of International Money and Finance, 93, 19-41.
    Koster, H. R., Van Ommeren, J., and Volkhausen, N. (2021). Short-Term Rentals and the Housing Market: Quasi-Experimental Evidence from Airbnb in Los Angeles. Journal of Urban Economics, 124, 103356.
    Laufer, S., and Tzur-Ilan, N. (2021). The Effect of LTV-Based Risk Weights on House Prices: Evidence from an Israeli Macroprudential Policy. Journal of Urban Economics, 124, 103349.
    Lee, D. S., and Lemieux, T. (2010). Regression Discontinuity Designs in Economics. Journal of Economic Literature, 48(2), 281-355.
    McCrary, J. (2008). Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test. Journal of Econometrics, 142(2), 698-714.
    Miles, W. (2014). The Housing Bubble: How Much Blame Does the Fed Really Deserve?. Journal of Real Estate Research, 36(1), 41-58.
    Richter, B., Schularick, M., and Shim, I. (2019). The Costs of Macroprudential Policy. Journal of International Economics, 118, 263-282.
    Sun, W., Zheng, S., Geltner, D. M., and Wang, R. (2017). The Housing Market Effects of Local Home Purchase Restrictions: Evidence from Beijing. The Journal of Real Estate Finance and Economics, 55, 288-312.
    Thistlethwaite, D. L., and Campbell, D. T. (1960). Regression-Discontinuity Analysis: An Alternative to the Ex Post Facto Experiment. Journal of Educational Psychology, 51(6), 309.
    Wang, Y., and Zhao, Y. (2021). Is Collaborative Governance Effective for Air Pollution Prevention? A Case Study on the Yangtze River Delta Region of China. Journal of Environmental Management, 292, 112709.
    Wilhelmsson, M. (2022). What is the Impact of Macroprudential Regulations on the Swedish Housing Market? Journal of Housing Economics, 57, 101840.
    Wong, E., and Hui, C. H. (2010). Loan-To-Value Ratio As A Macro-Prudential Tool–Hong Kong Experiences. mimeo, Research Department, Hong Kong Monetary Authority.
    Xiao, Y., Hui, E. C., and Wen, H. (2019). Effects of Floor Level and Landscape Proximity on Housing Price: A Hedonic Analysis in Hangzhou, China. Habitat International, 87, 11-26.
    Yinger, J. (1977). Prejudice and Discrimination in the Urban Housing Market. Discussion Paper D77-9.
    Zhang, L., and Zoli, E. (2016). Leaning Against the Wind: Macroprudential Policy in Asia. Journal of Asian Economics, 42, 33-52.
     
    中文文獻
    中央銀行（2010a），中央銀行網站（99）新聞發布第123號，取自https://www.cbc.gov.tw/tw/cp-302-37946-A070A-1.html
    中央銀行（2010b），中央銀行網站（99）新聞發布第269號，取自https://www.cbc.gov.tw/tw/cp-302-37946-A070A-1.html
    中央銀行（2012），中央銀行網站（101）新聞發布第101號，取自https://www.cbc.gov.tw/tw/cp-357-40738-56BF5-1.html
    中央銀行（2014)，中央銀行網站（103)新聞發布第130號，取自https://www.cbc.gov.tw/tw/cp-302-44416-35811-1.html
    中央銀行（2015)，中央銀行網站（104）新聞發布第191號，取自https://www.cbc.gov.tw/tw/cp-302-51122-E2B82-1.html
    中央銀行（2016），中央銀行網站（105）新聞發布第058號，取自https://www.cbc.gov.tw/tw/cp-302-56212-6EB7A-1.html
    中央銀行（2020），中央銀行網站（109）新聞發布第206號，取自https://www.cbc.gov.tw/tw/cp-357-124848-b6248-1.html
    中央銀行（2023），中央銀行網站（112）新聞發布第099號，取自https://www.cbc.gov.tw/tw/cp-302-158073-47ce0-1.html
    王鴻仁、陳南光、林姿妤（2017），房貸成數（LTV）對台灣房地產價格與授信之影響。中央銀行季刊，第3卷第3期，5-39。
    李榮謙、黃麗綸（2010），總體審慎政策之意涵、工具與策略。中央銀行國際金融參考資料，第59輯，48-55。
    胡志平（2005），新竹科學園區設置之環境風險認知分析與價值評估。建築與規劃學報， 6（1），63-80。
    紀鈞哲（2022），房貸成數政策之房貸供需影響與外溢效果。財團法人台灣票據交換所110年度委託計畫，未出版。
    唐松林、周文兵、王國成（2021），房價變動, 產業轉移與區域協調發展——以京津冀地區為例。中國管理科學，29（3），14-23。
    陳柏如（2018），總體審慎政策工具與臺灣房價的關係-特定目標信用工具與房市相關租稅工具的影響。經濟研究 （Taipei Economic Inquiry），54（2），287-330。
    陳柏如（2015），臺灣房價與貸款成數，房屋使用者成本相關性的檢驗。經濟研究 （Taipei Economic Inquiry），51（2），225-256.
    游舜德（2022），商品多樣性指標之空間資料探勘分析: 以臺北市多核心商圈為例. 都市與計劃，49（1），35-70.
    郭振雄、何怡澄、林咸劭（2020），斷點迴歸方法論之法人持股與企業租稅規避。 經濟論文，48（1），105-149。
    黃富櫻（2012），總體審慎政策與實務：近年的台灣經驗。中央銀行：國際金融參考資料，第 64 輯，92-116。
    描述: 碩士
    國立政治大學
    財務管理學系
    110357021
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0110357021
    資料類型: thesis
    顯示於類別:[財務管理學系] 學位論文

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