Loading...
|
Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/157863
|
| Title: | 不同層級醫院對住宅價格之影響－以臺北市為例
The Impact of Hospitals at Different Levels on Residential Property Prices: A Case Study of Taipei City |
| Authors: | 林柏辰
Lin, Po-Chen |
| Contributors: | 吳文傑
林馨怡
Wu, Wen-Chieh
Lin, Hsin-Yi
林柏辰
Lin, Po-Chen |
| Keywords: | 房價
醫院
分級醫療
特徵價格理論
門檻迴歸
Housing prices
Hospital
Hierarchical medical
Hedonic price theory
Threshold regression |
| Date: | 2025 |
| Issue Date: | 2025-07-01 15:35:20 (UTC+8) |
| Abstract: | 社會大眾對於醫院始終抱持矛盾的態度，鄰近醫院雖使就醫便利，但必須遭受各式干擾影響居家安寧。因此，本文選取民國112年臺北市不動產實價登錄資料，並採用特徵價格模型及門檻迴歸，探討醫療資源及不同層級醫院距離對住宅單價之影響。首先，本文以「醫療機構層級」衡量醫療資源，實證結果顯示，醫療資源對住宅單價有正面影響，說明民眾偏好醫療資源豐富的區域，當交易住宅二公里內設有三種層級醫院，其單價較僅有地區醫院高21.95％。不過，本文亦發現醫學中心及地區醫院皆屬於半嫌惡設施，民眾傾向保持適當距離，且醫學中心對周遭干擾更為嚴重，導致住宅至醫學中心的最佳距離較遠。前者最佳距離約880公尺至1095公尺，而後者稍顯縮短，約691公尺至695公尺。另外，區域醫院屬於迎毗設施，即便各模型估計方式不同，整體趨勢仍反映區域醫院距離與住宅單價呈現負相關，民眾期望住宅緊鄰區域醫院，以便迅速獲得醫療服務。
Public sentiment towards hospitals has long been ambivalent. While nearby hospitals offer enhanced accessibility to healthcare, they also introduce various forms of disturbance. Consequently, this study utilizes housing transaction data from Taipei City in 2023, employing the hedonic price model and threshold regression as research methods to investigate the influence of medical resources and the distance to hospitals of varying levels on residential unit prices. First, this study measures medical resources based on the "level of hospital." The empirical findings reveal a positive impact of medical resources on residential unit prices, indicating a public preference for areas with abundant medical resources. Specifically, properties located within two kilometers of medical centers, regional hospitals, and district hospitals have residential unit prices 21.95% higher than those located near only district hospitals. However, this study also reveals that medical centers and district hospitals are perceived as semi-obnoxious facilities, with residents favoring a moderate distance. The disturbances caused by medical centers are more severe, with an optimal distance estimated between approximately 880 and 1,095 meters. For district hospitals, this optimal distance is slightly reduced, ranging from about 691 to 695 meters. Conversely, regional hospitals are perceived as desirable facilities. Despite minor variations across the estimation methods employed, the overarching trend demonstrates a negative correlation between the distance to regional hospitals and residential unit prices, suggesting a public desire for residences in close proximity to regional hospitals for prompt access to medical care. |
| Reference: | 中央健康保險署（2023，7月11日）。Q1：為什麼要推「分級醫療」?。https://www.nhi.gov.tw/ch/cp-2122-b5420-3110-1.html
王乃弘（1994）。民眾就醫選擇之研究－分析層級程序法之應用。中華公共衛生雜誌，18(2)，138-151。
江穎慧、莊喻婷、張金鶚（2017）。臺北市公共自行車場站對鄰近住宅價格之影響。運輸計劃季刊，46(4)，399-428。
何怡芳（1995）。都市服務設施鄰避效果之研究〔未出版之碩士論文〕。國立政治大學中國地政研究所。
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。臺灣土地研究，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、游淑滿、張維倫（2012）。公共設施、環境品質與不動產景氣對住宅價格影響之研究─兼論不動產景氣之調節效果。住宅學報，21(2)，67-87。
林忠樑、林佳慧（2014）。學校特徵與空間距離對周邊房價之影響分析－以台北市為例。經濟論文叢刊，42(2)，215-271。
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。
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。
洪得洋、林祖嘉（1999）。臺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。
張金鶚、范垂爐（1993）。房地產真實交易價格之研究。住宅學報，1，75-97。
張炳勛、賴秀昀、林安復、洪冠予（2018）。推動分級醫療，由提升民眾健康識能開始！。臺灣醫界，61(12)，12-14。
張莉君（2016）。迎毗設施及鄰避設施對房屋價格影響之研究–以新北市板橋區及新莊區為例〔未出版之碩士論文〕。國立中央大學產業經濟研究所。
張開元（2021）。半嫌惡設施對房價的非線性影響—以台北市消防單位為例〔未出版之碩士論文〕。國立政治大學財政研究所。
彭保發、石憶邵、單玥、陳端呂（2015）。上海市三甲醫院對週邊地區住房價格的空間影響效應分析。地理科學，35(7)，860-866。
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。
黃雋智（2010）。公園綠地對住宅價格的影響--以台中市南區為例〔未出版之碩士論文〕。國立中興大學應用經濟學研究所。
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。
楊樺（2018）夜市對周遭房價有影響嗎？〔未出版之碩士論文〕。國立政治大學私立中國地政研究所。
董冠孚（2020）。區域醫療資源差異與死亡率的關係─來自台灣的實證分析〔未出版之碩士論文〕。淡江大學經濟學系經濟與財務碩士班。
賴素英（2014）。大型交通運輸系統對嘉義站區房價影響之研究〔未出版之碩士論文〕。南華大學財務金融學系財務管理碩士班。
Arimah, B. C. (1992). “An Empirical Analysis of the Demand for Housing Attributes in a Third World City.” Land Economics, 68(4), 366-379.
Berman, O. and Q. Wang (2008). “Locating a semi-obnoxious facility with expropriation.” Computers & Operations Research, 35(2), 392-403.
Chen, L., X. Yao, Y. Liu, Y. Zhu, W. Chen, X. Zhao, and T. Chi (2020). “Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China.” ISPRS International Journal of Geo-Information, 9(2), 106.
Cheng, T. M. (2003). “Taiwan's new national health insurance program: genesis and experience so far.” Health Aff, 22(3), 61-76.
Duan, J., G. Tian, L. Yang, and T. Zhou (2021). “Addressing the macroeconomic and hedonic determinants of housing prices in Beijing Metropolitan Area, China.” Habitat International, 113, 102374.
Dziauddin, M. F. (2014). “The Determinants of House Prices in the Klang Valley, Malaysia.” Journal of Social Sciences and Humanities, 6(1), 70-80.
Fong, Y., Y. Huang, P. B. Gilbert, and S. R. Permar (2017). “chngpt: threshold regression model estimation and inference.” BMC Bioinformatics, 18, 454.
Forrest, D., J. Glen, and R. Ward (1996). “The Impact of a Light Rail System on the Structure of House Prices: A Hedonic Longitudinal Study.” Journal of Transport Economics and Policy, 30(1), 15-29.
Geng, B., H. Bao, and Y. Liang (2015). “A study of the effect of a high-speed rail station on spatial variations in housing price based on the hedonic model.” Habitat International, 49, 333-339.
Lancaster, K. J. (1966). “A New Approach to Consumer Theory.” Journal of Political Economy, 74(2), 132-157.
Li, H., Y. D. Wei, Y. Wu, and G. Tian (2019). “Analyzing housing prices in Shanghai with open data: Amenity, accessibility and urban structure.” Cities, 91, 165-179.
McCue, T. E. and J. L. Kling (1994). “Real Estate Returns and the Macroeconomy: Some Empirical Evidence from Real Estate Investment Trust Data, 1972–1991.” The Journal of Real Estate Research, 9(3), 277-287.
Melachrinoudis, E. (1999). “Bicriteria location of a semi-obnoxious facility.” Computers & Industrial Engineering, 37(3), 581-593.
Muggeo, V. M. R. (2008). “Segmented: An R Package to Fit Regression Models with Broken-Line Relationships.” R News, 8(1), 20-25.
Nelson, J. P. (2004). “Meta-Analysis of Airport Noise and Hedonic Property Values: Problems and Prospects.” Journal of Transport Economics and Policy, 38(1), 1-28.
O'Byrne, P. H., J. P. Nelson, and J. J. Seneca (1985). “Housing values, census estimates, disequilibrium, and the environmental cost of airport noise: A case study of Atlanta.” Journal of Environmental Economics and Management, 12(2), 169-178.
Otoo, D., C. Sebil, J. A. Kessie, and E. Larbi (2019). “Probabilistic Distance, Capacity Clustering Location Model of a Semi-Obnoxious Facility, a Real Case of Tafo, Kumasi, Ghana.” American Journal of Operations Research, 9(3), 146-160.
Peng, T. C. and Y. H. Chiang (2015). “The non-linearity of hospitals’ proximity on property prices: experiences from Taipei, Taiwan.” Journal of Property Research, 32(4), 341-361.
Rosen, S. (1974). “Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition.” Journal of Political Economy, 82(1), 34-55.
Seo, K., A. Golub, and M. Kuby (2014). “Combined impacts of highways and light rail transit on residential property values: a spatial hedonic price model for Phoenix, Arizona.” Journal of Transport Geography, 41, 53-62.
Soderberg, B. (2002). “A Note on the Hedonic Model Specification for Income Properties.” Real Estate Valuation Theory, 157-180.
Song, Y. and Y. Zenou (2012). “Urban villages and housing values in China.” Regional Science and Urban Economics, 42(3), 495-505.
Teran-Somohano, A. and A. E. Smith (2019). “Locating multiple capacitated semi-obnoxious facilities using evolutionary strategies.” Computers & Industrial Engineering, 133, 303-316.
World Health Organization (2016). “Global diffusion of eHealth: making universal health coverage achievable: report of the third global survey on eHealth.” World Health Organization. https://iris.who.int/bitstream/handle/10665/252529/9789241511780-eng.pdf
Yang, L., B. Wang, J. Zhou, and X. Wang (2018). “Walking accessibility and property prices.” Transportation Research Part D, 62, 551-562.
Yu, C. M. and P. F. Chen (2018). “House Prices, Mortgage Rate, and Policy: Megadata Analysis in Taipei.” Sustainability, 10(4), 926.
Zhang, M., X. Meng, L. Wang, and T. Xu (2014). “Transit development shaping urbanization: Evidence from the housing market in Beijing.” Habitat International, 44, 545-554. |
| Description: | 碩士
國立政治大學
經濟學系
112258025 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0112258025 |
| Data Type: | thesis |
| Appears in Collections: | [經濟學系] 學位論文
|
Files in This Item:
| File |
Description |
Size | Format | |
|---|
| 802501.pdf | | 2540Kb | Adobe PDF | 0 | View/Open |
|
All items in 政大典藏 are protected by copyright, with all rights reserved.
|
