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題名 臺南鐵路地下化對周遭房價之影響
The impact of Tainan Urban District Railway Underground Project on housing price作者 林家伶
Lin, Jia-Ling貢獻者 胡偉民
Hu, Wei-Min
林家伶
Lin, Jia-Ling關鍵詞 交通建設
房價
差異中之差異法
transportation infrastructure
housing price
difference-in-differences method日期 2025 上傳時間 1-Jul-2025 14:19:32 (UTC+8) 摘要 交通建設是城市發展與地方經濟成長之重要因素，不僅能有效提升交通便利性與縮短通勤時間，亦能帶動都市更新與區域繁榮。隨著交通建設的推進，周遭地區的居住環境、生活機能均可能產生顯著變化，而這些變化亦會反映於不動產市場之中。過往諸多文獻著重於交通建設完工後對房價所產生之影響，惟交通建設於漫長的施工期間所帶來之變動亦不容忽視。因此，本研究欲探討臺南鐵路地下化計畫施工期間對住宅價格之影響， 本文以臺南鐵路地下化計畫為研究主題，選定計畫路段所經過之行政區，包含臺南市北區、東區與仁德區為研究範圍，資料來源採用內政部不動產交易實價登錄資料，涵蓋2014年4月1日至2022年12月31日之不動產交易資料。研究設計上，將距離鐵路地下化路段800公尺以內者定義為實驗組，距離800公尺以外者則視為對照組，並運用特徵價格法及差異中之差異法進行實證分析，探討交通建設施工期間對不動產價格之影響。 實證結果顯示，臺南鐵路地下化計畫於第二標開始動工後即對沿線所經區域之房價產生正向影響，不動產價格均呈現上升的現象，可知交通建設於施工期間亦會對住宅價格產生正向的影響。
Transportation infrastructure plays a vital role in urban development and local economic growth. It not only improves transportation convenience and reduces commuting time, but also stimulates urban renewal and regional prosperity. As transportation infrastructure progresses, the residential environment and living functions in the surrounding areas may undergo significant changes, and these changes are also reflected in the real estate market. While most studies focus on completed transportation projects, the impact during construction should not be overlooked. Therefore, this study aims to investigate the impact of the construction period of the Tainan Railway Underground Project on housing price. This study focuses on the Tainan Railway Underground Project and selects administrative districts along the project route—including North District, East District, and Rende District of Tainan City—as the research scope. The data source is from the Ministry of the Interior, covering property transaction data from April 1, 2014, to December 31, 2022. In terms of research design, properties within 800 meters of the railway underground route are defined as the treatment group, while those outside 800 meters are regarded as the control group. The hedonic pricing method and the difference-in-differences approach are employed to conduct empirical analysis and evaluate the impact of the construction period of transportation infrastructure on property prices. The empirical results show that the second phase of the Tainan Railway Underground Project positively impacts housing price along the route, indicating that transportation infrastructure can enhance real estate values even during construction period.參考文獻 中文部分 李泓見、張金鶚、花敬群（2006）。台北都會區不同住宅類型價差之研究。台灣土地研究，9(1)，63-87。 李泳龍、黃宗誠、戴政安、李善將（2009）。醫學中心對鄰近住宅環境影響之研究。建築與規劃學報，10(2)，75-93。 李春長、梁志民、林豐文（2017）。捷運系統對鄰近住宅價格之影響-以差異中之差異法估計。台灣土地研究，20(2)，31-58。 何姍嬬、劉奕呈、許義忠（2024）。自住與非自住之房屋稅率差異對房價之影響-差異中之差異法的應用。住宅學報，33(2)，27-62。 林祖嘉、馬毓駿（2007）。特徵方程式大量估價法在台灣不動產市場之應用。住宅學報，16(2)，1-22。 洪得洋、林祖嘉（1999）。台北市捷運系統與道路寬度對房屋價格影響之研究。住宅學報，8，47-67。 胡志平（2010）。台灣高鐵通車營運對住宅價格之衝擊影響分析-以新竹車站為例。建築與規劃學報，11(2)，77-88。 彭建文、楊宗憲、楊詩韻（2009）。捷運系統對不同區位房價影響分析-以營運階段為例。運輸計劃季刊，38(3)，275-296。 楊宗憲、蘇倖慧（2011）。迎毗設施與鄰避設施對住宅價格影響之研究。住宅學報，20(2)，61-80。 蔡芷婕（2021）。交通建設施工階段對房價的影響-以淡江大橋為例（碩士論文）。國立政治大學財政學系。 英文部分 Ashenfelter, O., & Card, D. (1985). Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs. The Review of Economics and Statistics, 67(4), 648–660. Armstrong, R. J., & Rodríguez, D. A. (2006). An Evaluation of the Accessibility Benefits of Commuter Rail in Eastern Massachusetts using Spatial Hedonic Price Functions. Transportation, 33, 21–43. Bajic, V. (1983). The Effects of a New Subway Line on Housing Prices in Metropolitan Toronto. Urban Studies, 20(2), 147–158. Card, D., & Krueger, A. B. (1994). Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania. The American Economic Review, 84(4), 772–793. Churchill, S. A., Baako, K. T., Mintah, K., & Zhang, Q. (2021). Transport infrastructure and house prices in the long run. Transport Policy, 112, 1–12. Duncan, M. (2011). The Impact of Transit-Oriented Development on Housing Prices in San Diego, CA. Urban Studies, 48(1), 101–127. El-Geneidy, A., Grimsrud, M., Wasfi, R., Tétreault, P., & Surprenant-Legault, J. (2014). New evidence on walking distances to transit stops: Identifying redundancies and gaps using variable service areas. Transportation, 41(1), 193–210. Follain, J. R., & Malpezzi, S. (1980). Dissecting Housing Value and Rent. Washington, DC: The Urban Institute. Forouhar, A., & van Lierop, D. (2021). If you build it, they will change: Evaluating the impact of commuter rail stations on real estate values and neighborhood composition in the Rotterdam–The Hague metropolitan area, the Netherlands. The Journal of Transport and Land Use, 14(1), 949–973. Goodman, A. C. (1978). Hedonic Prices, Price Indices and Housing Markets. Journal of Urban Economics, 5(4), 471–484. Lancaster, K. J. (1966). A New Approach to Consumer Theory. Journal of Political Economy, 74(2), 132–157. Lee, C., Liang, C.-M., & Chen, C.-Y. (2017). The impact of urban renewal on neighborhood housing prices in Taipei: an application of the difference-in-difference method. Journal of Housing and the Built Environment, 32(3), 407–428. Liu, L., Yu, H., Zhao, J., Wu, H., Peng, Z., & Wang, R. (2022). Multiscale Effects of Multimodal Public Facilities Accessibility on Housing Prices Based on MGWR: A Case Study of Wuhan, China. International Journal of Geo-Information, 11(1), 57. Rosen, S. (1974). Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition. Journal of Political Economy, 82(1), 34–55. Sirmans, G. S., Macpherson, D. A., & Zietz, E. N. (2005). The Composition of Hedonic Pricing Models. Journal of Real Estate Literature, 13(1), 3–43. Sirmans, G. S., MacDonald, L., Macpherson, D. A., & Zietz, E. N. (2006). The Value of Housing Characteristics: A Meta Analysis. The Journal of Real Estate Finance and Economics, 33(3), 215–240. Vatcheva, K. P., Lee, M., McCormick, J. B., & Rahbar, M. H. (2016). Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies. Epidemiology: Open Access, 6(6), 227. Zhao, Q., Liu, M., & Chen, Q. (2017). The Impacts of Gasoline Stations on Residential Property Values: A Case Study in Xuancheng, China. Journal of Sustainable Real Estate, 9(1), 66–85. 描述 碩士
國立政治大學
財政學系
112255006資料來源 http://thesis.lib.nccu.edu.tw/record/#G0112255006 資料類型 thesis dc.contributor.advisor 胡偉民 zh_TW dc.contributor.advisor Hu, Wei-Min en_US dc.contributor.author (Authors) 林家伶 zh_TW dc.contributor.author (Authors) Lin, Jia-Ling en_US dc.creator (作者) 林家伶 zh_TW dc.creator (作者) Lin, Jia-Ling en_US dc.date (日期) 2025 en_US dc.date.accessioned 1-Jul-2025 14:19:32 (UTC+8) - dc.date.available 1-Jul-2025 14:19:32 (UTC+8) - dc.date.issued (上傳時間) 1-Jul-2025 14:19:32 (UTC+8) - dc.identifier (Other Identifiers) G0112255006 en_US dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/157680 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 財政學系 zh_TW dc.description (描述) 112255006 zh_TW dc.description.abstract (摘要) 交通建設是城市發展與地方經濟成長之重要因素，不僅能有效提升交通便利性與縮短通勤時間，亦能帶動都市更新與區域繁榮。隨著交通建設的推進，周遭地區的居住環境、生活機能均可能產生顯著變化，而這些變化亦會反映於不動產市場之中。過往諸多文獻著重於交通建設完工後對房價所產生之影響，惟交通建設於漫長的施工期間所帶來之變動亦不容忽視。因此，本研究欲探討臺南鐵路地下化計畫施工期間對住宅價格之影響， 本文以臺南鐵路地下化計畫為研究主題，選定計畫路段所經過之行政區，包含臺南市北區、東區與仁德區為研究範圍，資料來源採用內政部不動產交易實價登錄資料，涵蓋2014年4月1日至2022年12月31日之不動產交易資料。研究設計上，將距離鐵路地下化路段800公尺以內者定義為實驗組，距離800公尺以外者則視為對照組，並運用特徵價格法及差異中之差異法進行實證分析，探討交通建設施工期間對不動產價格之影響。 實證結果顯示，臺南鐵路地下化計畫於第二標開始動工後即對沿線所經區域之房價產生正向影響，不動產價格均呈現上升的現象，可知交通建設於施工期間亦會對住宅價格產生正向的影響。 zh_TW dc.description.abstract (摘要) Transportation infrastructure plays a vital role in urban development and local economic growth. It not only improves transportation convenience and reduces commuting time, but also stimulates urban renewal and regional prosperity. As transportation infrastructure progresses, the residential environment and living functions in the surrounding areas may undergo significant changes, and these changes are also reflected in the real estate market. While most studies focus on completed transportation projects, the impact during construction should not be overlooked. Therefore, this study aims to investigate the impact of the construction period of the Tainan Railway Underground Project on housing price. This study focuses on the Tainan Railway Underground Project and selects administrative districts along the project route—including North District, East District, and Rende District of Tainan City—as the research scope. The data source is from the Ministry of the Interior, covering property transaction data from April 1, 2014, to December 31, 2022. In terms of research design, properties within 800 meters of the railway underground route are defined as the treatment group, while those outside 800 meters are regarded as the control group. The hedonic pricing method and the difference-in-differences approach are employed to conduct empirical analysis and evaluate the impact of the construction period of transportation infrastructure on property prices. The empirical results show that the second phase of the Tainan Railway Underground Project positively impacts housing price along the route, indicating that transportation infrastructure can enhance real estate values even during construction period. en_US dc.description.tableofcontents 第一章 緒論 1 第一節 研究動機與目的 1 第二節 研究範圍與方法 4 第三節 研究架構與流程 7 第二章 文獻回顧 9 第一節 影響不動產價格之因素 9 第二節 交通建設與不動產價格相關研究 11 第三節 應用於不動產價格之理論與方法 13 第三章 研究方法與資料說明 16 第一節 研究架構 16 第二節 實證模型建立 17 第三節 資料與變數 21 第四節 敘述統計 27 第四章 實證結果與分析 31 第一節 模型檢定 31 第二節 模型一：以各施工階段看政策效果 36 第三節 模型二：逐季分析政策效果 41 第五章 結論與建議 43 第一節 結論 43 第二節 研究限制與後續研究建議 44 參考文獻 45 附錄 48 zh_TW dc.format.extent 1868510 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0112255006 en_US dc.subject (關鍵詞) 交通建設 zh_TW dc.subject (關鍵詞) 房價 zh_TW dc.subject (關鍵詞) 差異中之差異法 zh_TW dc.subject (關鍵詞) transportation infrastructure en_US dc.subject (關鍵詞) housing price en_US dc.subject (關鍵詞) difference-in-differences method en_US dc.title (題名) 臺南鐵路地下化對周遭房價之影響 zh_TW dc.title (題名) The impact of Tainan Urban District Railway Underground Project on housing price en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 中文部分 李泓見、張金鶚、花敬群（2006）。台北都會區不同住宅類型價差之研究。台灣土地研究，9(1)，63-87。 李泳龍、黃宗誠、戴政安、李善將（2009）。醫學中心對鄰近住宅環境影響之研究。建築與規劃學報，10(2)，75-93。 李春長、梁志民、林豐文（2017）。捷運系統對鄰近住宅價格之影響-以差異中之差異法估計。台灣土地研究，20(2)，31-58。 何姍嬬、劉奕呈、許義忠（2024）。自住與非自住之房屋稅率差異對房價之影響-差異中之差異法的應用。住宅學報，33(2)，27-62。 林祖嘉、馬毓駿（2007）。特徵方程式大量估價法在台灣不動產市場之應用。住宅學報，16(2)，1-22。 洪得洋、林祖嘉（1999）。台北市捷運系統與道路寬度對房屋價格影響之研究。住宅學報，8，47-67。 胡志平（2010）。台灣高鐵通車營運對住宅價格之衝擊影響分析-以新竹車站為例。建築與規劃學報，11(2)，77-88。 彭建文、楊宗憲、楊詩韻（2009）。捷運系統對不同區位房價影響分析-以營運階段為例。運輸計劃季刊，38(3)，275-296。 楊宗憲、蘇倖慧（2011）。迎毗設施與鄰避設施對住宅價格影響之研究。住宅學報，20(2)，61-80。 蔡芷婕（2021）。交通建設施工階段對房價的影響-以淡江大橋為例（碩士論文）。國立政治大學財政學系。 英文部分 Ashenfelter, O., & Card, D. (1985). Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs. The Review of Economics and Statistics, 67(4), 648–660. Armstrong, R. J., & Rodríguez, D. A. (2006). An Evaluation of the Accessibility Benefits of Commuter Rail in Eastern Massachusetts using Spatial Hedonic Price Functions. Transportation, 33, 21–43. Bajic, V. (1983). The Effects of a New Subway Line on Housing Prices in Metropolitan Toronto. Urban Studies, 20(2), 147–158. Card, D., & Krueger, A. B. (1994). Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania. The American Economic Review, 84(4), 772–793. Churchill, S. A., Baako, K. T., Mintah, K., & Zhang, Q. (2021). Transport infrastructure and house prices in the long run. Transport Policy, 112, 1–12. Duncan, M. (2011). The Impact of Transit-Oriented Development on Housing Prices in San Diego, CA. Urban Studies, 48(1), 101–127. El-Geneidy, A., Grimsrud, M., Wasfi, R., Tétreault, P., & Surprenant-Legault, J. (2014). New evidence on walking distances to transit stops: Identifying redundancies and gaps using variable service areas. Transportation, 41(1), 193–210. Follain, J. R., & Malpezzi, S. (1980). Dissecting Housing Value and Rent. Washington, DC: The Urban Institute. Forouhar, A., & van Lierop, D. (2021). If you build it, they will change: Evaluating the impact of commuter rail stations on real estate values and neighborhood composition in the Rotterdam–The Hague metropolitan area, the Netherlands. The Journal of Transport and Land Use, 14(1), 949–973. Goodman, A. C. (1978). Hedonic Prices, Price Indices and Housing Markets. Journal of Urban Economics, 5(4), 471–484. Lancaster, K. J. (1966). A New Approach to Consumer Theory. Journal of Political Economy, 74(2), 132–157. Lee, C., Liang, C.-M., & Chen, C.-Y. (2017). The impact of urban renewal on neighborhood housing prices in Taipei: an application of the difference-in-difference method. Journal of Housing and the Built Environment, 32(3), 407–428. Liu, L., Yu, H., Zhao, J., Wu, H., Peng, Z., & Wang, R. (2022). Multiscale Effects of Multimodal Public Facilities Accessibility on Housing Prices Based on MGWR: A Case Study of Wuhan, China. International Journal of Geo-Information, 11(1), 57. Rosen, S. (1974). Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition. Journal of Political Economy, 82(1), 34–55. Sirmans, G. S., Macpherson, D. A., & Zietz, E. N. (2005). The Composition of Hedonic Pricing Models. Journal of Real Estate Literature, 13(1), 3–43. Sirmans, G. S., MacDonald, L., Macpherson, D. A., & Zietz, E. N. (2006). The Value of Housing Characteristics: A Meta Analysis. The Journal of Real Estate Finance and Economics, 33(3), 215–240. Vatcheva, K. P., Lee, M., McCormick, J. B., & Rahbar, M. H. (2016). Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies. Epidemiology: Open Access, 6(6), 227. Zhao, Q., Liu, M., & Chen, Q. (2017). The Impacts of Gasoline Stations on Residential Property Values: A Case Study in Xuancheng, China. Journal of Sustainable Real Estate, 9(1), 66–85. zh_TW
