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題名 我國租金補貼政策對租賃住宅租金之影響
The Impact of Taiwan's Rental Subsidy Policy on Rental Housing Rent作者 范碩光
Fan, Shuo-Kuang貢獻者 林左裕
Lin, Tso-Yu
范碩光
Fan, Shuo-Kuang關鍵詞 租金補貼政策
租賃住宅市場
租金
ARDL共整合分析法
Rent Subsidy Policy
Rental Housing Market
Rent
ARDL Cointegration Analysis日期 2025 上傳時間 3-Mar-2025 15:17:06 (UTC+8) 摘要 本文旨在探討我國於2007年起實施之租金補貼政策對全國租賃住宅平均租金的影響，研究期間1986年至2021年，採用ARDL共整合分析法，並分別以政策虛擬變數及租金補貼金額作為補貼政策的代理變數進行分析。研究結果顯示，我國租金補貼政策對全國租賃住宅平均租金具有長期顯著的正向影響，但並未觀察到實質租金顯著上漲的現象，顯示2007年政策實施後對實質租金的影響相當有限。換言之，現階段的租金補貼政策可在維持租賃住宅市場穩定的同時，達成減輕家庭生活負擔的政策目標，並未引發明顯的所得效果。
This study aims to examine the impact of Taiwan’s rental subsidy policy, implemented since 2007, on the national average rent for rental housing. The research period covers 1986 to 2021, employing the ARDL cointegration analysis. The policy is analyzed using both a policy dummy variable and the rental subsidy amount as proxy variables. The empirical results indicate that Taiwan’s rental subsidy policy has a significant long-term positive effect on the national average rent. However, no substantial increase in real rent has been observed, suggesting that the policy’s influence on real rent remains limited. In other words, the current rental subsidy policy helps stabilize the rental housing market while achieving its goal of alleviating household financial burdens, without triggering a noticeable income effect.參考文獻 中文參考文獻 一、期刊論文 1.吳彥葶、張金鶚、江穎慧，2022，「租屋市場之租金與住宅品質知多少？」，『都市與計劃』，49(3)：317-339。 2.林祖嘉、林素菁，1994，「台灣地區住宅需求價格彈性與所得彈性之估計」，『住宅學報』，(2)：25-48。 3.陳奕任、李瑞彬，2021，「我國CPI房租指數編製介紹」，『主計月刊』，790期：60-63。 4.曹志弘，2023，「CPI的事實與想像」，『主計月刊』，806期：66-72。 5.彭建文、張金鶚，2000，「預期景氣與宣告效果對房地產景氣之影響」，『管理學報』，17(2)：343-368。 6.彭建文，2004，「台灣出租住宅市場與自有住宅市場價格調整關係之研究」，『都市與計劃』，31(4)：391-412。 7.曾建穎、張金鶚、花敬群，2005，「不同空間、時間住宅租金與其房價關聯性之研究—台北地區之實證現象分析」，『住宅學報』，14(2)：27-49。 8.簡嘉嫺、江穎慧，2018「影響住宅租金指數總體性變數之研究」，『土地問題研究季刊』，17(1)：99-110。 二、博、碩士論文 1.李祖福，2022，「使用民間大數據租屋資料估算消費者物價指數」，國立臺灣大學經濟學研究所碩士論文：臺北。 2.呂佳臻，2021，「分析影響租金的總體經濟變數與政府相關政策」，國立中正大學國際經濟學碩士在職專班碩士論文：嘉義。 3.簡嘉嫺，2018，「住宅租屋市場預警系統之研究」，國立政治大學地政學系研究所碩士論文：臺北。 英文參考文獻 一、專書 1.Pesaran, M.H. and Pesaran, B., 1997, Working with Microfit 4.0: Interactive Econometric Analysis, Oxford: Oxford University Press. 二、期刊論文 2.Breusch, T. S., and Pagan, A. R., 1979, “A Simple Test for Heteroscedasticity and Random Coefficient Variation”, Econometrica, 1287-1294. 3.Brewer, M., Browne, J., Emmerson, C., Hood, A., and Joyce, R., 2019, “The Curious Incidence of Rent Subsidies: Evidence of Heterogeneity from Administrative Data”, Journal of Urban Economics, 114: 103198. 4.Dickey, D. A., and Fuller, W. A., 1979, “Distribution of the Estimators for Autoregressive Time Series with a Unit Root”, Journal of the American Statistical Association, 74(366a): 427-431. 5.Dickey, D. A., and Fuller, W. A., 1981, “Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root”, Econometrica, 49(4): 1057–1072. 6.Engle, R.F. and C.W.J. Granger, 1987, “Co-Integration and Error Correction: Representation, Estimation and Testing”, Econometrica, 55: 251-276. 7.Eriksen, M. D., and Ross, A., 2015, “Housing Vouchers and the Price of Rental Housing”, American Economic Journal: Economic Policy, 7(3): 154-176. 8.Fack, G., 2006, “Are Housing Benefit an Effective Way to Redistribute Income? Evidence from a Natural Experiment in France”, Labour Economics, 13(6): 747-771. 9.Gibbons, S., and Manning, A., 2006, “The Incidence of UK Housing Benefit: Evidence from the 1990s Reforms”, Journal of Public Economics, 90(4-5): 799-822. 10.Granger, C. W., and Newbold, P., 1974, “Spurious Regressions in Econometrics”, Journal of Econometrics, 2(2): 111-120. 11.Hyslop, D. R., and Rea, D., 2019, “Do Housing Allowances Increase rents? Evidence from a Discrete Policy Change”, Journal of Housing Economics, 46: 101657. 12.Johansen, S., and Juselius, K., 1990, ”Maximum Likelihood Estimation and Inference on Cointegration—with Applications to the Demand for Money”, Oxford Bulletin of Economics and Statistics, 52(2): 169-210. 13.Kangasharju, A., 2010, “Housing Allowance and the Rent of Low‐Income Households”, Scandinavian Journal of Economics, 112(3): 595-617. 14.Laferrère, A., and Le Blanc, D., 2004, “How Do housing Allowances Affect Rents? An Empirical Analysis of the French Case”, Journal of Housing Economics, 13(1): 36-67. 15.Nkoro, E., and Uko, A. K., 2016, “Autoregressive Distributed Lag (ARDL) Cointegration Technique: Application and Interpretation”, Journal of Statistical and Econometric methods, 5(4): 63-91. 16.Potepan, M. J., 1996, “Explaining Intermetropolitan Variation in Housing Prices, Rents and Land Prices”, Real Estate Economics, 24(2): 219-245. 17.Pesaran, M. H., and Shin, Y., 1995, “An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis”, Faculty of Economics, University of Cambridge, 9514: 371-413. 18.Pesaran, M. H., Shin, Y., and Smith, R. J., 2001, “Bounds Testing Approaches to the Analysis of Level Relationships”, Journal of Applied Econometrics, 16(3): 289-326. 19.Phillips, P.C.B., and Perron, P., 1988, “Testing for a Unit Root in Time Series Regression”, Biometrika, 75(2): 335–346, 20.Rydell, C. P., 1980, “Supply Response to the Housing Allowance Program”, International Regional Science Review, 5(2): 119-138. 21.Shida, J., 2022, “The Macroeconomic Determinants of House Prices and Rents”, Jahrbücher für Nationalökonomie und Statistik, 242(1): 39-86. 22.Susin, S., 2002, “Rent Vouchers and the Price of Low-Income Housing”, Journal of Public Economics, 83(1): 109-152. 23.Viren, M., 2013, “Is the Housing Allowance Shifted to Rental Prices?”, Empirical Economics, 44: 1497-1518. 24.White, H., 1980, “A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity”, Econometrica, 48: 817-838. 三、工作論文 1.Eerola, E., and Lyytikäinen, T., 2017, “Housing Allowance and Rents: Evidence from a Stepwise Subsidy Scheme”, VATT Institute for Economic Research, Working Papers 88. 2.Eerola, E., Lyytikäinen, T., Saarimaa, T., and Vanhapelto, T., 2022, “The Incidence of Housing Allowances: Quasi-Experimental Evidence”, VATT Institute for Economic Research, Working Papers 149. 四、博、碩士論文 1.Glad, K., 2019, Does Housing Allowances Raise Rents? - A Literature Review from Finnish Rental Market, Department of Economics, Aalto University School of Business, Espoo, Finland. 描述 碩士
國立政治大學
地政學系碩士在職專班
109923015資料來源 http://thesis.lib.nccu.edu.tw/record/#G0109923015 資料類型 thesis dc.contributor.advisor 林左裕 zh_TW dc.contributor.advisor Lin, Tso-Yu en_US dc.contributor.author (Authors) 范碩光 zh_TW dc.contributor.author (Authors) Fan, Shuo-Kuang en_US dc.creator (作者) 范碩光 zh_TW dc.creator (作者) Fan, Shuo-Kuang en_US dc.date (日期) 2025 en_US dc.date.accessioned 3-Mar-2025 15:17:06 (UTC+8) - dc.date.available 3-Mar-2025 15:17:06 (UTC+8) - dc.date.issued (上傳時間) 3-Mar-2025 15:17:06 (UTC+8) - dc.identifier (Other Identifiers) G0109923015 en_US dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=175603 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 地政學系碩士在職專班 zh_TW dc.description (描述) 109923015 zh_TW dc.description.abstract (摘要) 本文旨在探討我國於2007年起實施之租金補貼政策對全國租賃住宅平均租金的影響，研究期間1986年至2021年，採用ARDL共整合分析法，並分別以政策虛擬變數及租金補貼金額作為補貼政策的代理變數進行分析。研究結果顯示，我國租金補貼政策對全國租賃住宅平均租金具有長期顯著的正向影響，但並未觀察到實質租金顯著上漲的現象，顯示2007年政策實施後對實質租金的影響相當有限。換言之，現階段的租金補貼政策可在維持租賃住宅市場穩定的同時，達成減輕家庭生活負擔的政策目標，並未引發明顯的所得效果。 zh_TW dc.description.abstract (摘要) This study aims to examine the impact of Taiwan’s rental subsidy policy, implemented since 2007, on the national average rent for rental housing. The research period covers 1986 to 2021, employing the ARDL cointegration analysis. The policy is analyzed using both a policy dummy variable and the rental subsidy amount as proxy variables. The empirical results indicate that Taiwan’s rental subsidy policy has a significant long-term positive effect on the national average rent. However, no substantial increase in real rent has been observed, suggesting that the policy’s influence on real rent remains limited. In other words, the current rental subsidy policy helps stabilize the rental housing market while achieving its goal of alleviating household financial burdens, without triggering a noticeable income effect. en_US dc.description.tableofcontents 第一章 緒綸 1 第一節 研究背景 1 第二節 研究目的 10 第三節 研究方法與範圍 12 第四節 研究架構 13 第二章 理論基礎與文獻回顧 14 第一節 理論基礎 14 第二節 租金補貼政策與租賃住宅市場租金之關聯性 15 第三節 影響租賃住宅市場租金之因素 21 第三章 研究設計與資料說明 24 第一節 研究設計 24 第二節 資料說明與變數選取 35 第四章 實證結果分析 43 第一節 研究資料基本統計 43 第二節 單根檢定 45 第三節 ARDL共整合分析法 48 第五章 結論與建議 61 參考文獻 63 zh_TW dc.format.extent 3072332 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0109923015 en_US dc.subject (關鍵詞) 租金補貼政策 zh_TW dc.subject (關鍵詞) 租賃住宅市場 zh_TW dc.subject (關鍵詞) 租金 zh_TW dc.subject (關鍵詞) ARDL共整合分析法 zh_TW dc.subject (關鍵詞) Rent Subsidy Policy en_US dc.subject (關鍵詞) Rental Housing Market en_US dc.subject (關鍵詞) Rent en_US dc.subject (關鍵詞) ARDL Cointegration Analysis en_US dc.title (題名) 我國租金補貼政策對租賃住宅租金之影響 zh_TW dc.title (題名) The Impact of Taiwan's Rental Subsidy Policy on Rental Housing Rent en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 中文參考文獻 一、期刊論文 1.吳彥葶、張金鶚、江穎慧，2022，「租屋市場之租金與住宅品質知多少？」，『都市與計劃』，49(3)：317-339。 2.林祖嘉、林素菁，1994，「台灣地區住宅需求價格彈性與所得彈性之估計」，『住宅學報』，(2)：25-48。 3.陳奕任、李瑞彬，2021，「我國CPI房租指數編製介紹」，『主計月刊』，790期：60-63。 4.曹志弘，2023，「CPI的事實與想像」，『主計月刊』，806期：66-72。 5.彭建文、張金鶚，2000，「預期景氣與宣告效果對房地產景氣之影響」，『管理學報』，17(2)：343-368。 6.彭建文，2004，「台灣出租住宅市場與自有住宅市場價格調整關係之研究」，『都市與計劃』，31(4)：391-412。 7.曾建穎、張金鶚、花敬群，2005，「不同空間、時間住宅租金與其房價關聯性之研究—台北地區之實證現象分析」，『住宅學報』，14(2)：27-49。 8.簡嘉嫺、江穎慧，2018「影響住宅租金指數總體性變數之研究」，『土地問題研究季刊』，17(1)：99-110。 二、博、碩士論文 1.李祖福，2022，「使用民間大數據租屋資料估算消費者物價指數」，國立臺灣大學經濟學研究所碩士論文：臺北。 2.呂佳臻，2021，「分析影響租金的總體經濟變數與政府相關政策」，國立中正大學國際經濟學碩士在職專班碩士論文：嘉義。 3.簡嘉嫺，2018，「住宅租屋市場預警系統之研究」，國立政治大學地政學系研究所碩士論文：臺北。 英文參考文獻 一、專書 1.Pesaran, M.H. and Pesaran, B., 1997, Working with Microfit 4.0: Interactive Econometric Analysis, Oxford: Oxford University Press. 二、期刊論文 2.Breusch, T. S., and Pagan, A. R., 1979, “A Simple Test for Heteroscedasticity and Random Coefficient Variation”, Econometrica, 1287-1294. 3.Brewer, M., Browne, J., Emmerson, C., Hood, A., and Joyce, R., 2019, “The Curious Incidence of Rent Subsidies: Evidence of Heterogeneity from Administrative Data”, Journal of Urban Economics, 114: 103198. 4.Dickey, D. A., and Fuller, W. A., 1979, “Distribution of the Estimators for Autoregressive Time Series with a Unit Root”, Journal of the American Statistical Association, 74(366a): 427-431. 5.Dickey, D. A., and Fuller, W. A., 1981, “Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root”, Econometrica, 49(4): 1057–1072. 6.Engle, R.F. and C.W.J. Granger, 1987, “Co-Integration and Error Correction: Representation, Estimation and Testing”, Econometrica, 55: 251-276. 7.Eriksen, M. D., and Ross, A., 2015, “Housing Vouchers and the Price of Rental Housing”, American Economic Journal: Economic Policy, 7(3): 154-176. 8.Fack, G., 2006, “Are Housing Benefit an Effective Way to Redistribute Income? Evidence from a Natural Experiment in France”, Labour Economics, 13(6): 747-771. 9.Gibbons, S., and Manning, A., 2006, “The Incidence of UK Housing Benefit: Evidence from the 1990s Reforms”, Journal of Public Economics, 90(4-5): 799-822. 10.Granger, C. W., and Newbold, P., 1974, “Spurious Regressions in Econometrics”, Journal of Econometrics, 2(2): 111-120. 11.Hyslop, D. R., and Rea, D., 2019, “Do Housing Allowances Increase rents? Evidence from a Discrete Policy Change”, Journal of Housing Economics, 46: 101657. 12.Johansen, S., and Juselius, K., 1990, ”Maximum Likelihood Estimation and Inference on Cointegration—with Applications to the Demand for Money”, Oxford Bulletin of Economics and Statistics, 52(2): 169-210. 13.Kangasharju, A., 2010, “Housing Allowance and the Rent of Low‐Income Households”, Scandinavian Journal of Economics, 112(3): 595-617. 14.Laferrère, A., and Le Blanc, D., 2004, “How Do housing Allowances Affect Rents? An Empirical Analysis of the French Case”, Journal of Housing Economics, 13(1): 36-67. 15.Nkoro, E., and Uko, A. K., 2016, “Autoregressive Distributed Lag (ARDL) Cointegration Technique: Application and Interpretation”, Journal of Statistical and Econometric methods, 5(4): 63-91. 16.Potepan, M. J., 1996, “Explaining Intermetropolitan Variation in Housing Prices, Rents and Land Prices”, Real Estate Economics, 24(2): 219-245. 17.Pesaran, M. H., and Shin, Y., 1995, “An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis”, Faculty of Economics, University of Cambridge, 9514: 371-413. 18.Pesaran, M. H., Shin, Y., and Smith, R. J., 2001, “Bounds Testing Approaches to the Analysis of Level Relationships”, Journal of Applied Econometrics, 16(3): 289-326. 19.Phillips, P.C.B., and Perron, P., 1988, “Testing for a Unit Root in Time Series Regression”, Biometrika, 75(2): 335–346, 20.Rydell, C. P., 1980, “Supply Response to the Housing Allowance Program”, International Regional Science Review, 5(2): 119-138. 21.Shida, J., 2022, “The Macroeconomic Determinants of House Prices and Rents”, Jahrbücher für Nationalökonomie und Statistik, 242(1): 39-86. 22.Susin, S., 2002, “Rent Vouchers and the Price of Low-Income Housing”, Journal of Public Economics, 83(1): 109-152. 23.Viren, M., 2013, “Is the Housing Allowance Shifted to Rental Prices?”, Empirical Economics, 44: 1497-1518. 24.White, H., 1980, “A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity”, Econometrica, 48: 817-838. 三、工作論文 1.Eerola, E., and Lyytikäinen, T., 2017, “Housing Allowance and Rents: Evidence from a Stepwise Subsidy Scheme”, VATT Institute for Economic Research, Working Papers 88. 2.Eerola, E., Lyytikäinen, T., Saarimaa, T., and Vanhapelto, T., 2022, “The Incidence of Housing Allowances: Quasi-Experimental Evidence”, VATT Institute for Economic Research, Working Papers 149. 四、博、碩士論文 1.Glad, K., 2019, Does Housing Allowances Raise Rents? - A Literature Review from Finnish Rental Market, Department of Economics, Aalto University School of Business, Espoo, Finland. zh_TW
