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研究生: 藍聖杰
Langarica Herrera, Sergio Francisco
論文名稱: 大眾捷運系統對房地產價格的影響 : 以桃園機場捷運與林口地區為例
Impact of Mass Rapid Transit System on Property Values: Taoyuan Airport MRT and Linkou Area Case
指導教授: 吳文傑
Wu, Wen-Chieh
學位類別: 碩士
Master
系所名稱: 社會科學學院 - 應用經濟與社會發展英語碩士學位學程(IMES)
International Master's Program of Applied Economics and Social Development(IMES)
論文出版年: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 34
中文關鍵詞: 捷運房地產
DOI URL: http://doi.org/10.6814/THE.NCCU.IMES.002.2018.F06
相關次數: 點閱:85下載:6
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  • The present research work uses both a hedonic pricing model regression and difference-in-differences model regression to empirically investigate the impacts that the construction of rapid transit system stations have on property values.
    It uses real estate transactions data from the Linkou area in Northern Taiwan where two stations of the recently built Taoyuan Airport MRT are located.
    The hedonic pricing approach finds several significant internal characteristics of the properties that contribute to the determination of real estate prices. It also finds that a measurement of distance to the closes MRT station, an exogenous characteristic to the property, has a significant impact. A price decrease of 1,536 New Taiwanese Dollars for every meter further away from the station was the result found.
    The difference-in-differences model found that after year 2014 those properties located within 1000 meters of the stations saw an average price increase of 709,223 New Taiwanese Dollars. This is during the construction phase of the MRT and 3 years before it commenced operations.
    These findings can back important public policy implications such as the potential taxation of the land-value increase to support the financing of large infrastructure projects, a value capture strategy.

    1. Introduction 1
    1.1 Background 1
    1.2 Statement of the problem 2
    1.3 Research goal 3
    1.4 Research approach 4
    1.5 Research limitations 4
    1.6 Framework 5
    2. Literature Review 7
    2.1 Public transportation and land value 7
    2.2 Financing public transportation through value capture 8
    2.3 Hedonic pricing model in real estate valuation 10
    3. Methodology 11
    3.1 Existing models 11
    3.1.1 Hedonic pricing model 12
    3.1.2 Difference-in-differences model 13
    3.2 Hedonic pricing econometric specification 14
    3.3 Difference-in-differences econometric specification 14
    3.3.1 Treatment group 15
    3.3.2 Treatment period 16
    3.4 Variables and expected signs 16
    4. Data collection and scope 18
    4.1 Real estate transactions 18
    4.2 Taoyuan Airport MRT data 19
    4.3 Merged data 20
    4.4 Descriptive statistics 21
    5. Empirical Results 22
    5.1 Variable correlation 22
    5.2 Hedonic pricing regression results 22
    5.3 Difference-in-differences regression results 24
    6. Conclusion 27
    6.1 Summary of findings 27
    6.2 Policy implications 27
    6.3 Future research 29
    7. References 30

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