Responsive image
博碩士論文 etd-0013122-091647 詳細資訊
Title page for etd-0013122-091647
論文名稱
Title
交通便利性對地區房價差異之影響- 以台中捷運為例
The impact of accessibility on the local property values and take the different location into account – Taking Taichung MRT as an example
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
60
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2021-07-23
繳交日期
Date of Submission
2022-01-13
關鍵字
Keywords
差異中差異法、三重差分法、分量迴歸、價格特徵模型、台中捷運
Difference in Difference, Triple Difference Estimator, Quantile Regression, Hedonic Model, Taichung MRT
統計
Statistics
本論文已被瀏覽 318 次,被下載 0
The thesis/dissertation has been browsed 318 times, has been downloaded 0 times.
中文摘要
當人們在購買房屋時,除了房屋本身的特徵之外,房屋周遭的交通便利性也會 是購屋者納入考量的重要因素之一;在台灣,捷運系統是被用來衡量房屋附近交通 發達與否的指標之一,除了台北和高雄已有成熟的路網系統之外,台中捷運在近幾 年也是當地人重視的議題。
捷運系統建設之目的為促進地方交通發展以及平衡都市和周圍的發展,而房 地產常被視作衡量指標之一。因此,本研究選用台中實價登錄資料作為資料來源, 因為實價登錄具備即時揭露且資訊完整的特性,所以能讓本人以更全面的角度來 分析房產市場。透過以上資料,本人先衡量捷運建設對於捷運沿線房價之影響,並 再進一步區分市區沿線和市郊沿線做更深入的探討,同時結合分量迴歸以及房屋 落後變數控制周圍鄰近效應,期望對不同價位的房產做出更準確的推論。
結果顯示,將捷運沿線視為單一區域,捷運建設對沿線房價無顯著衝擊;若將 其細分成市區沿線和市郊沿線,則捷運對市區沿線之效應為負,對市郊沿線之效應 為正,而房屋落後變數在模型中顯著為正,顯現出有一定的空間鄰近效應,且加入 此變數後,各主要係數的係數值改變不大。
為真正比較捷運對市郊沿線和市區沿線影響的差異,本研究採取三重差分法 (DIDID)。根據主要變數顯示,若混合房屋和土地交易資料,捷運對市郊沿線平 均房產價格的影響要比那些位於市區沿線的房產來得高;但若細分成土地和純住 宅樣本,以土地樣本來說,相較那些位於市區沿線的土地價格,捷運建設對市郊沿 線周圍的土地價格造成個顯著的提升;但對住宅樣本來說,差異並不顯著;最後, 當考慮分量迴歸模型後,我們也發現主要係數會隨分量而改變,顯現出主要變數對 於不同房價的影響是不相同的,而關於加入分量迴歸後的房屋落後變數,其係數值 小於多元迴歸分析得到的估計值,筆者或許可以推論,在台中房屋交易模型中,分量效應應該會是主效應。
Abstract
When purchasing real estates, except for housing features, one of the most important factor the buyers may take into account is the availability and accessibility of public transportation within neighborhood area. In Taiwan, the MRT system is the most used measure to assess the availability and convenience given in adjacent district. In addition to Taipei and Kaohsiung, which both cities have their integrated system, more and more people view the MRT system in Taichung as the important issue for this prosperous metropolitan.
Aiming to balance the development of city and surrounding suburb districts, the construction of MRT system is the first policy the local government may consider, and one of the criteria of assessment is value of real estates. Hence, in my research, I firstly explore the average effect of MRT on the surrounding area, then divide it into two subgroups, which are suburb district and city district, in order to get deeper insight. Finally, I apply both quantile method and lagged average price, which is aiming to control possible spatial correlation.
Result shows that if we view surrounding area of MRT as a treatment group, the average effect of MRT doesn’t bring any changes on local property values. However, if we further divide it into two groups, the outcome is different, it shows the average housing price in suburb district increase but that in city district suffers from decreasing trend. Furthermore, the lagged average housing price is both positive and significant. Hence, it is reasonable we capture the existing spatial effect and the main coefficients are slightly altered.
In order to compare the impact of MRT on the system-nearby area in the suburb district and that in the city district, we incorporate Triple Difference Estimator, and eventually, the main variables verify that the impact of MRT is greater in the system- nearby area in suburb district than that in system-nearby area in city district. By implementing quantile regression, we can find in all our models, the coefficients do actually vary by quantiles, indicating the quantile effect is significant, and among the quantile effect and spatial effect, the former is much more dominated.
目次 Table of Contents
論文審定書……………………………………………………………… i
誌謝……………………………………………………………………… ii
中文摘要………………………………………………………………… iii
英文摘要………………………………………………………………… iv
目錄 ……………………………………………………………………… v
圖目錄 …………………………………………………………………… vii
表目錄 …………………………………………………………………… viii
第一章 緒論 …………………………………………………………… 1
第一節 研究背景和動機…………………………………………… 1
第二節 研究目的…………………………………………………… 3
第三節 研究範圍…………………………………………………… 6
第四節 研究流程…………………………………………………… 6
第二章 文獻回顧……………………………………………………… 7
第一節 影響房價的因素…………………………………………… 7
第二節 交通建設相關文獻……………………………………………8
第三節 相關研究方法…………………………………………………9
第三章 研究方法………………………………………………………… 11
第一節 資料來源以及介紹 ………………………………………… 11
第二節 資料清洗&模型變數介紹 ………………………………… 12
一、資料清洗 ……………………………………………… 12
二、模型變數介紹 ………………………………………… 14
第三節 分析工具 …………………………………………………… 21
一、價格特徵模型 ………………………………………… 21
二、分量迴歸 ……………………………………………… 21
三、差異中差異法 ………………………………………… 22
四、三重差分法 …………………………………………… 25
第四節 模型設定 …………………………………………………… 27
第四章 模型分析和結果………………………………………………… 30
第一節 敘述統計分析 ……………………………………………… 30
第二節 初步分析結果 ……………………………………………… 33
第三節 進階分析結果 ……………………………………………… 37
第四節 本章小節 …………………………………………………… 42
第五章 結論和建議 …………………………………………………… 46
第一節 研究結論…………………………………………………… 46
第二節 建議和未來方向…………………………………………… 48
參考文獻 References
- 英文文獻
Ahlfeldt, G. M., (2011), The Train Has Left the Station: Do Markets Value Intracity

Access to Intercity Rail Connections? German Economic Review, 12(3):312-335

Bajic, V., (1982), The Effects of a New Subway Line on Housing Prices in Metropolitan Toronto, Urban Studies, 20(2):147 -158

Bauer, T.K., S.T. Braun and M. Kvasnicka, (2017), Nuclear power plant closures and local housing values: Evidences from Fukushima and the German housing market, Journal of Urban Economics 99(3):94-106

Berck, P. and S.B. Villas-Boas, (2016), A note on the triple difference in economic models, Applied Economics Latter, 23(4):239-242

Bowes, D.R. and K.R. Ihlanfeldt, (2001), Identifying the Impacts of Rail Transit Stations on Residential Property Values, Journal of Urban Economics, 50(1):1-25

Debrezion, G., E. Pels and P. Rietveld, (2011), The Impact of Rail Transport on Real Estate Prices: An Empirical Analysis of the Dutch Housing Market, UrbanStudies, 48(5):997-1015

Djurdjevic, D., C. Eugster and R. Haase, (2008), Estimation of Hedonic Models Using Multilevel Approach: An Application for the Swiss Rental Market, Swiss Journal of Economics and Statistics, 144(4):679-701

Follain, J. R., & Malpezzi, S., (1980), Dissecting housing value and rent: Estimates of hedonic indexes for thirty-nine large SMSAs. Washington, D.C: Urban Institute

Freeman, A.M., J.A. Herriges and C.I. Kling, (2014), The measurement of Environmental and Resource Values, 3rd ed, New York, NY: REF Press

Gao, Y.Y., S.F. Song, J. Sun and L. Zang, (2020), Does high‐speed rail connection really promote local economy? Evidence from China's Yangtze River Delta, Review of Development Economics, 24(1):316-338

Im, J.H. and S.H. Hong, (2018), Impact of a new subway line on housing values in Daegu, Korea : Distance from existing line, Urban Studies, 55(15):3318-3335

Julian, D. and N. Peter, (2016), Is aid for infrastructure effective? A difference-in- difference-in-difference approach, Kile Institute for the World Economic, working paper NO. 2034

Koenker, R. and B. Gilbert, (1978), Regression Quantile, Econometrica, 46(1):33-50

Koenker, R. and K.F. Hallock, (2001), Quantile Regression, Journal of Economics Perspectives, 15(4):143-156

Levkovich, O., J. Rouwendal and R.V. Marwijk, (2015), The effects of highway development on housing prices, Transportation, 43(2):379–405

Liao, W.C. and X. Wang, (2012), Hedonic house prices and spatial quantile regression, Journal of Housing Economics, 21(1):16–27

Liqun Z., H. Matthew and F. Richard, (2017), Can Environmental Regulations Drive Firms Innovation? Evidence from Two Policies in China, working paper

Mora-Garcia, R.T., M.F. Cespedes-Lopez, V. R. Perez-Sanchez, P. Marti and J.C. Perez- Sanchez, (2019), Determinants of the Price of Housing in the Province of Alicante (Spain): Analysis Using Quantile Regression, Sustainability, 11(2):437

Newsome, B. and J. Zietz, (1992), Adjusting comparable sales using MRA—The need for segmentation. Appraisal Journal, 60(1):129–135

Olden, A. and J. Moen, (2020), The Triple Difference Estimator, Institute for foretaksokonomi, Department of Business and Management Science, working paper

Rosen, S., (1974), Hedonic prices and implicit markets : product differentiation in pure competition, Journal of political economy, 82(1):34-55

So, H.M., R. Tse and S. Ganesan, (1997), Estimating the Influence of Transportation on House prices: Evidence from Hong Kong, Journal of Property Valuation and Investment, 15(1):40-47

Tobler, W. R., (1970), A Computer Movie Simulating Urban Growth in the Detroit Region. Economic Geography, 46(1):234-240

Zhang, H.Y. and X.Y. Wang, (2016), Effectiveness of Macro-regulation Policies on Housing Prices: A Spatial Quantile Regression Approach, Housing, Theory & Society, 33(1):23-40

Zhang, L., (2016), Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis, Regional Science and Urban Economics, 60(3):12–19

Zhang, L. and T. Leonard, (2017), Flood Hazards On Neighborhood House Prices, J Real Estate Finan Econ, 58(4):656-674

Zietz, J., E.N. Zietz and G.S. Sirmans, (2007), Determinants of House Prices: A Quantile Regression Approach, J Real Estate Finan Econ, 37(4):317–333

- 中文文獻
李春長, 童作君(2010),住宅特徵價格模型之多層次分析,經濟論文叢刊 (Taiwan Economic Review), 38(2):289–325

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
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:自定論文開放時間 user define
開放時間 Available:
校內 Campus:開放下載的時間 available 2025-01-13
校外 Off-campus:開放下載的時間 available 2025-01-13

您的 IP(校外) 位址是 3.84.110.120
現在時間是 2024-03-29
論文校外開放下載的時間是 2025-01-13

Your IP address is 3.84.110.120
The current date is 2024-03-29
This thesis will be available to you on 2025-01-13.

紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 2025-01-13

QR Code