跳到主要內容

臺灣博碩士論文加值系統

(98.82.140.17) 您好!臺灣時間:2024/09/12 21:53
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:賴怡璇
研究生(外文):LAI, YI-HSUAN
論文名稱:大學招生對周邊房價的影響:以臺灣中部兩間私立大學為例
論文名稱(外文):The Impact of University Admissions on Surrounding Housing Prices: A Case Study of Two Private Universities in Central Taiwan
指導教授:楊茜文楊茜文引用關係
指導教授(外文):YANG, CHIEN-WEN
口試委員:陳珮瀅楊尚穎
口試委員(外文):CHEN, PEI-YINGYANG, SHANG-YIN
口試日期:2024-06-24
學位類別:碩士
校院名稱:逢甲大學
系所名稱:財務金融學系
學門:商業及管理學門
學類:財務金融學類
論文種類:學術論文
論文出版年:2024
畢業學年度:112
語文別:中文
論文頁數:64
中文關鍵詞:大學招生招生缺額私立大學房價傾向分數配對方法
外文關鍵詞:University enrollmentEnrollment vacanciesPrivate universitiesHousing pricesPropensity score matching method
相關次數:
  • 被引用被引用:0
  • 點閱點閱:19
  • 評分評分:
  • 下載下載:8
  • 收藏至我的研究室書目清單書目收藏:0
教育被視為培養人力資本的重要基石,學區品質與附近房價表現突顯了國民義務教育對學習環境的關鍵性。不同於國民義務教育,大專院校並沒有「以校擇房」的問題,使得大學招生結果成為衡量學校表現及未來發展的重要指標,甚至影響周邊房價。本文以臺灣 111 學年度的大專院校新入學方案與分發結果 (如缺額) 為背景,旨在探討大學招生對附近房價的影響。本研究採用臺灣內政部實價登錄平台所提供臺灣不動產成交案件實際資訊資料供應系統 (opendata) 提供的不動產交易數據,聚焦於台中市西屯區兩所類似私立大學 (逢甲大學、東海大學)。兩間大學歷年招生幾近滿招,惟在 111 學年度東海大學招生出現明顯下滑,甚至有29系組未達五成,因此提供一自然實驗來分析大學招生結果對附近房價的影響。研究運用傾向分數配對 (Propensity Score Matching, PSM) 找出兩校周邊類似房屋交易的匹配樣本,並採用差異中之差異法 (Difference-in-Differences, DID) 進行分析。結果顯示,招生結果不佳 (即缺額率高) 並未對周邊房價產生顯著負面影響;相反地,在招生結果公布後的短期內,東海大學周邊房價顯著高於逢甲大學。然而,這種影響隨著時間的推移逐漸消失,在長期內未能維持顯著性。推測,東海大學在招生不佳時,由於其良好聲譽和地理位置優勢,可能減緩了短期招生波動對房價的影響。
Education is considered a crucial cornerstone for cultivating human capital, and the quality of school districts and the performance of nearby housing prices highlight the criticality of compulsory education for the learning environment. In contrast to compulsory education, tertiary institutions do not face the issue of "school district choice," making university admission outcomes a significant indicator for measuring school performance and future development, potentially influencing surrounding property values. This study examines the impact of university admissions on nearby housing prices, using the context of the 111 academic year in Taiwan, focusing on the new enrollment schemes and distribution outcomes (such as number of enrollment vacancies) of private universities in Taichung's Xitun District, specifically Feng Chia University and Tunghai University. Both universities have nearly reached full enrollment in past years. However, in the 111th academic year, Tunghai University's enrollment significantly declined, with 29 departments not reaching 50% capacity, thus providing a natural experiment. The research utilizes real estate transaction data provided by Taiwan's Ministry of the Interior's Real Price Registration Platform, through the Open Data system, to analyze housing transactions near the two similar private universities. Propensity Score Matching (PSM) is employed to identify matched samples of housing transactions, and Difference-in-Differences (DID) analysis is conducted. The results indicate that unfavorable admission outcomes (i.e., higher enrollment vacancies) do not significantly negatively affect nearby housing prices; instead, in the short term following admission announcements, housing prices around Tunghai University are significantly higher than those around Feng Chia University. However, this effect diminishes over time. It is inferred that Tunghai University's good reputation and advantageous geographic location may mitigate the adverse impact of enrollment decreasing on housing prices.
第一章 緒論 8
第二章 中部私立大學與臺灣111學年度大學招生 10
第一節 逢甲大學與東海大學 10
第二節 臺灣 111 學年度大學招生 12
第三章 文獻回顧 16
第一節 不隨時間變動的固定特徵 16
第二節 隨時間變動的特徵 17
第四章 研究實證模型 20
第五章 資料說明與分析 24
第一節 資料來源說明 24
第二節 資料清理過程 26
第三節 敘述統計 29
第六章 實證結果分析 34
第一節 全樣本估計結果 34
第二節 套房估計結果 41
第三節 平行時間估計結果:公告後以每三個月為頻率 46
第四節 平行時間估計結果:公告後以每兩個月為頻率 50
第五節 穩健性測試 53
第七章 結論與建議 57
第一節 結論 57
第二節 未來研究建議 58
參考文獻 59
附錄 62
李春長, 梁志民, 簡啟珉, 和 俞錚. (2020). 高雄市環狀輕軌對鄰近地區住宅價格之影響:以差異中之差異法結合分量迴歸模型之分析. 臺灣土地研究, 23(2), 195–221.
林素菁. (2004). 台北市國中小明星學區邊際願意支付之估計. 住宅學報, 13(1), 15–34.
徐士勛, 陳琮仁, 林士淵, 和 張金鶚. (2020). 高雄氣爆後的房價被市場暴棄了?. 經濟論文, 48(1), 33–68.
Agarwal, S., Rengarajan, S., Sing, T. F., & Yang, Y. (2016). School Allocation Rules and Housing Prices: A Quasi-Experiment with School Relocation Events in Singapore. Regional Science and Urban Economics, 58, 42–56.
Bae, Hyunhoe & Chung, Il. (2013). Impact of school quality on house prices and estimation of parental demand for good schools in Korea. KEDI Journal of Educational Policy. 10. 43-61.
Barrow, L. (2002). School Choice Through Relocation: Evidence from the Washington, D.C. Area. Journal of Public Economics, 86(2), 155–189.
Barrow, L., & Rouse, cecilia Elena . (2004). Using Market Valuation to Assess Public School Spending. Journal of Public Economics, 88(8–9), 1747–1769.
Bayer, Patrick, Fernando Ferreira, and Robert McMillan (2007), A Unified Framework for Measuring Preferences for Schools and Neighborhoods, Journal of Political Economy, 115(4), 588–638.
Black, S. E. (1999). Do Better Schools Matter? Parental Valuation of Elementary Education. The Quarterly Journal of Economics, 114(2), 577–599.
Bogart, W. T., & Cromwell, B. A. (1997). How Much More Is a Good School District Worth? National Tax Journal, 70(2), 215–232.
Brasington, D. M. (1999). Which Measures of School Quality Does the Housing Market Value? The Journal of Real Estate Research, 18(3), 395–413.
Cellini, S. R., Ferreira, F., & Rothstein, J. (2010). The Value of School Facility Investments: Evidence from a Dynamic Regression Discontinuity Design. The Quarterly Journal of Economics, 125(1), 215–261.
Chen, J., & Li, R. (2023). Pay for Elite Private Schools or Pay for Higher Housing Prices? Evidence from an Exogenous Policy Shock. Journal of Housing Economics, 60, 101934.
Chin, C. H., & Foong, W. K. (2006). Influence of School Accessibility on Housing Values. Journal of Urban Planning and Development, 132(3), 120–129.
Crone, T. M. (1998). House Prices and the Quality of Public Schools: What Are We Buying? Business Review, 3–14.
Ding, K., & Itoh, R. (2022). JUE Insight: The Impact of the School Admission Restriction Policy on the Housing Market in Shanghai. Journal of Urban Economics, 136, 103568.
Downes, T. A., & Zabel, J. E. (2002). The Impact of School Characteristics on House Prices: Chicago 1987–1991. Journal of Urban Economics, 52(1), 1–25
Fack, G., & Grenet, J. (2010). When Do Better Schools Raise Housing Prices? Evidence from Paris Public and Private Schools. Journal of Public Economics, 94(1–2), 59–77.
Haurin, D. R., & Brasington, D. (1996). School Quality and Real House Prices: Inter- and Intrametropolitan Effects. Journal of Housing Economics, 5(4), 351–368.
Huang, B., He, X., Xu, L., & Zhu, Y. (2020). Elite School Designation and Housing Prices-Quasi-Experimental Evidence from Beijing, China. Journal of Housing Economics, 50, 101730.
Huang, Y. (2017). A Study of Sub-Divided Units (SDUs) in Hong Kong Rental Market. Habitat International, 62, 43–50.
Jayantha, W. M., & Lam, S. O. (2015). Capitalization of Secondary School Education into Property Values: A Case Study in Hong Kong. Habitat International, 50, 12–22.
Jin, Z., Wang, X., & Huang, B. (2023). The Enrolment Reform of Schools and Housing Price: Empirical Evidence from Shanghai, China. International Review of Economics & Finance, 84, 262–273.
Jud, D. G. (1985). A Further Note on Schools and Housing Values. Real Estate Economics, 13(4), 452–462.
Leech, D., & Campos, E. (2003). Is Comprehensive Education Really Free? A Case Study of the Effects of Secondary School Admissions Policies on House Prices in One Local Area. Journal of the Royal Statistical Society Series A (Statistics in Society), 166(1), 135–154.
Li, J., Liu, S., & Wu, Y. (2021). Identifying Knowledge Spillovers from Universities: Quasi-Experimental Evidence from Urban China. Working Paper, 1–65.
Machin, S. (2011). Houses and Schools: Valuation of School Quality through the Housing Market. Labour Economics, 18(6), 723–729.
Morgan, S. L., & Winship, C. (2007). Counterfactuals and Causal Inference: Methods and Principles for Social Research. Cambridge University Press.
Oates, Wallace E. (1969), The Effects of Property Taxes and Local Public Spending on Property Values: An Empirical Study of Tax Capitalization and the Tiebout Hypothesis, Journal of Political Economy, 77, 957–971.
Rosenbaum, P. R., & Rubin, D. B. (1983). The Central Role of the Propensity Score in Observational Studies for Causal Effects. Biometrika, 70(1), 41–55.
Rubin, D. B. (1973). Matching to Remove Bias in Observational Studies. Biometrics, 29(1), 159–183.
Smith, J. A., & Todd, P. E. (2005). Does Matching Overcome LaLonde’s Critique of Nonexperimental Estimators? Journal of Econometrics, 125(1–2), 305–353.
Tchatoka, F. D., & Varvaris, V. (2021). Neighbourhood, School Zoning and the Housing Market: Evidence from New South Wales. Journal of Housing Economics, 54, 101790.
Wen, H., Xiao, Y., Hui, E. C. m., & Zhang, L. (2018). Education Quality, Accessibility, and Housing Price: Does Spatial Heterogeneity Exist in Education Capitalization? Habitat International, 78, 68–82.
Wen, H., Zhang, Y., & Zhang, L. (2014). Do Educational Facilities Affect Housing Price? An Empirical Study in Hangzhou, China. Habitat International, 42, 155–163.
Wen, H., Xiao, Y., & Zhang, L. (2017). School District, Education Quality, and Housing Price: Evidence from a Natural Experiment in Hangzhou, China. Cities, 66, 72–80.
Zhang , J., Li , H., Lin , J., Zheng , W., Li , H., & Chen , Z. (2020). Meta-Analysis of the Relationship between High Quality Basic Education Resources and Housing Prices. Land Use Policy, 99, 104843.
Zheng, S., Hu, W., & Wang, R. (2016). How Much Is a Good School Worth in Beijing? Identifying Price Premium with Paired Resale and Rental Data. The Journal of Real Estate Finance and Economics, 53(2), 184–199.

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top