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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 雷立芬 | zh_TW |
dc.contributor.advisor | LI-FEN LEI | en |
dc.contributor.author | 鄭智翔 | zh_TW |
dc.contributor.author | CHIH-HSIANG CHENG | en |
dc.date.accessioned | 2024-03-04T16:14:21Z | - |
dc.date.available | 2024-03-05 | - |
dc.date.copyright | 2024-03-04 | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-02-06 | - |
dc.identifier.citation | 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。
Billings, S. B. (2011). Estimating the value of a new transit option. Regional Science and Urban Economics, 41, 525–536. Black, S. (1999) Do better schools matter? Parental valuation of elementary Education. The Quarterly Journal of Economics,114(2), 577-599 Bowes, D., & Ihlanfeldt, K. (2001). Identifying the Impacts of Rail Transit Stations on Residential Property Values, Journal of Urban Economics, 50(1),1-25. Diao, M., Leonard, D., & Sing, T. (2017). Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values. Regional Science and Urban Economics, 67, 64–77. Gatzlaff, D., & Haurin,D.(1997). Sample selection bias and repeat-sales index estimates. The Journal of Real Estate Finance and Economics,14, 33-50. Ghosh, C., Panchapagesan, V., & Venkataraman M.(2023). On the impact of infrastructure improvement on real estate property values: Evidence from a quasi-natural experiment in an emerging market. The Journal of Real Estate Finance and Economics.,68,103-137 Keeler, Z., & Stephens, H. (2022). The capitalization of metro rail access in urban housing markets. Real Estate Economics,51(3), 686-720. Linden, L., & Rockoff, J. (2008). Estimates of the impact of crime risk on property values from Megan’s Laws. American Economic Review. 98(3), 1103-1127. Mohammad, S. I., Graham, D. J., Melo, P. C., & Anderson, R. J. (2013). A meta-analysis of the impact of rail projects on land and property values. Transportation Research Part A: Policy and Practice, 50, 158–170. Phillips, D., & Sandler, D. (2015) Does public transit spread crime? Evidence from temporary rail station closures. Regional Science and Urban Economics, 52,13-26. Pilgram, C., & West, S. (2018). Fading premiums: The effect of light rail on residential property values in Minneapolis, Minnesota. Regional Science and Urban Economics, 69, 1–10. Rosen, S. (1974). Hedonic prices and implicit markets: Product differentiation in pure competition. Journal of Political Economy, 82(1), 34-55. Simlai, P. (2013). Estimation of variance of housing prices using spatial conditional heteroskedasticity (SARCH) model with an application to Boston housing price data, The Quarterly Review of Economics and Finance,54(1),17-34 Song,Y., & Knaap, G. (2003). New urbanism and housing values: a disaggregate assessment. Journal of Urban Economics,54(2), 218-238. Wagner, G., Komarek, T., & Martin, J. (2017). Is the light rail “tide” lifting property values? Evidence from Hampton Roads, VA. Regional Science and Urban Economics, 65, 25–37. Walker, J. (2016). Silence is golden: railroad noise pollution and property values. The Review of Regional Studies, 46 (1), 75–89. | - |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/92040 | - |
dc.description.abstract | 本研究使用桃園捷運(或稱機場捷運)A21環北站附近住宅大樓數據以研究交通建設對附近房價的影響。使用2013年至2022年資料,本研究先以局部多項式迴歸找出機場捷運影響範圍,以便更準確區分實驗組與對照組,其次運用差異中差異特徵價格模型(Hedonic Difference in Differences model)探討在2017年3月2日機場捷運開通後,捷運站附近實驗組每平方公尺房價趨勢是否產生變化。本研究同時探討了房價對交通建設資本化的空間擴散,以及至機場捷運站距離對每平方公尺房價的影響。
實證發現在控制房屋特徵、與附近重要建設距離、年固定效果及行政區里固定效果後,實驗組在開通後每平方公尺房價增加1,888元,並且在空間擴散模型中,開通效果使500公尺內住宅大樓每平方公尺房價增加3,460元,800至500公尺內住宅大樓每平方公尺房價則增加2,915元。但也發現與機場捷運站距離並不會對住宅房價造成影響,因此認為A21環北站不是因為給附近住宅交通便利,而使房價提升,而是作為當地發展經濟的工具,而使附近區域房價提升。 在實施交通建設政策時,應考慮交通建設對當地的影響及交通建設的目的是為當地居民帶來便利性,抑或是對促進當地經濟發展,以免雖然對附近居民影響為正面,但政策目的卻沒有達到。 | zh_TW |
dc.description.abstract | This study examines the impact of transportation infrastructure on nearby property prices using data from residential buildings near the A21 Huanbei Station of the Taoyuan Metro. Data from 2013 to 2022 are utilized, and a Hedonic Difference in Differences model (Hedonic DID model) is employed to investigate whether there is a change in the per square meter property price trend in the treatment group near the MRT station after its opening on March 2, 2017. Local polynomial regression is used to identify the impact range of the airport MRT more accurately, distinguishing between the treatment and control groups.
In addition to the DID model, the study also explores the spatial diffusion of property prices due to transportation infrastructure capitalization and the influence of the distance to the airport MRT station on the per square meter property price. After controlling for housing characteristics, distances to important constructions nearby, year fixed effects, and administrative district fixed effects, the study finds that the per square meter property price in the experimental group increased by 1888 NT dollars after the MRT operating. In the spatial diffusion model, the opening effect resulted in an increase of 3460 NT dollars per square meter for residential buildings within 500 meters and 2915 NT dollars per square meter for those within 500 to 800 meters. However, it was also found that the distance to the airport MRT station does not have an impact on residential housing prices. Therefore, it is believed that the A21 Huanbei Station does not contribute to the increase in housing prices in the nearby area due to improved transportation convenience. Instead, it is seen as a tool for local economic development, leading to the rise in housing prices in the surrounding region. When implementing transportation infrastructure policies, the impact of transportation construction on the local area and the purpose of the transportation construction should be considered. The purpose may be to bring convenience to the local residents or to promote local economic development. This is to prevent a situation where the impact on nearby residents is positive, but the policy objectives are not achieved. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-03-04T16:14:21Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2024-03-04T16:14:21Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 摘要 ii
Abstract iii 圖次 v 表次 vi 第一章 前言 1 第一節 研究背景與動機 1 第二節 研究目的 1 第二章 文獻回顧 3 第三章 桃園機場捷運介紹及歷史 5 第四章 研究方法與實證數據 8 第一節 局部多式項迴歸模型 8 第二節 差異中差異特徵價格模型 9 第三節 實證資料來源與敘述統計 12 第五章 實證結果與分析 22 第一節 差異中差異特徵價格模型結果 22 第二節 開通效果的空間擴散 26 第三節 與捷運站距離資本化 29 第四節 穩健性測試 31 第六章 結論 34 參考文獻 36 | - |
dc.language.iso | zh_TW | - |
dc.title | 交通建設對附近房價的影響- 以桃園機場捷運A21環北站為例 | zh_TW |
dc.title | The Impact of Transportation Infrastructure on Nearby Property Prices: A Case Study of A21 Huanbei Station on the Taoyuan Metro | en |
dc.type | Thesis | - |
dc.date.schoolyear | 112-1 | - |
dc.description.degree | 碩士 | - |
dc.contributor.coadvisor | 許耀文 | zh_TW |
dc.contributor.coadvisor | YAO-WUN SYU | en |
dc.contributor.oralexamcommittee | 歐陽利姝;簡睿哲 | zh_TW |
dc.contributor.oralexamcommittee | OUYANG Lishu;RUEI-JHE JIAN | en |
dc.subject.keyword | 桃園捷運,房屋價值,差異中差異特徵價格模型,局部多項式迴歸,交通建設, | zh_TW |
dc.subject.keyword | Taoyuan Metro,property prices,Hedonic DID model,Local polynomial regression,transportation infrastructure, | en |
dc.relation.page | 37 | - |
dc.identifier.doi | 10.6342/NTU202400599 | - |
dc.rights.note | 同意授權(全球公開) | - |
dc.date.accepted | 2024-02-16 | - |
dc.contributor.author-college | 生物資源暨農學院 | - |
dc.contributor.author-dept | 農業經濟學系 | - |
顯示於系所單位: | 農業經濟學系 |
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