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題名 路邊停車收費政策對房價之影響–以臺北市文山區為例
The impact of on-street parking policy on housing prices — Case Study of Wenshan District
作者 王承勳
Wang, Cheng-Hsun
貢獻者 江穎慧
CHIANG, YING-HUI
王承勳
Wang, Cheng-Hsun
關鍵詞 路邊停車收費政策
停車位
房價
差異中之差異法
Parking policy
Parking
Housing prices
Difference-in-differences
日期 2023
上傳時間 9-Mar-2023 18:50:11 (UTC+8)
摘要 臺北市政府首創我國全面性路邊停車收費政策,於2015年核定實施「全市
路邊停車收費計畫」,過去幾年探討該政策的影響研究,多在於對停車行為、停車特性以及停車供需的影響,尚未有研究針對房價進行完整影響分析。
本論文以文山區作為實證地區,整理不動產交易實價登錄資料,將有停車位
的房地交易案例拆分停車位價格,以詳實反應停車位變數,利用傳統迴歸模型最小平方法(OLS),觀察停車位變數於政策實施前後對房價的影響效果;繼而以差異中之差異法(DID),觀察房屋價格在全市路邊停車收費政策公布前後的變化,分析政府政策實施對房價的影響效果;最後基於前述方法,進一步加入超前及滯後變數進行分析。
前者實證結果顯示,依車位型態差異,有車位房屋較無車位房屋每坪價格高
出4.48%到6.35%,且該效果並未受全市路邊停車收費政策影響;後者實證結果發現,由於事前宣傳以及市民支持,實施全面性路邊停車收費政策,並未對房價造成顯著影響;此外以超前及滯後變數,涵蓋整體政策推動期程進行分析,其結果亦顯示並未觀察到明顯的房價變化趨勢。
Taipei City is the first to initiate a comprehensive parking policy in Taiwan, most of the impact studies of parking policy has focused on parking behavior, parking characteristics, and parking supply and demand. However, a complete impact analysis on housing prices still await investigation.
This study takes Wenshan District as an empirical area, based on real price registration data, using the ordinary least squares model (OLS), observe the impact of parking variables on housing prices before and after the implementation of the policy; then use the difference-in-differences method (DID) to observe the changes in housing prices before and after the implementation of the policy; finally, based on the aforementioned method, use the lags and leads of the treatment variables instead of using a single treatment variable.
The former empirical results show that, depending on the types of parking spaces, the price per ping of houses with parking spaces is 4.48% to 6.35% higher than houses without parking spaces, and this effect is not affected by parking policy; the latter empirical results show that, the implementation of a comprehensive parking policy has
no significant impact on housing prices; in addition, the analysis of the lags and leads of the treatment variables also shows that no obvious changes.
參考文獻 一、 中文參考文獻
(一) 專書
梁仁旭、陳奉瑤,2018,不動產估價,中國地政研究所。
臺北市停車管理處,2006,當我們停在一起 1999~2006 停車管理施政典藏,臺北市停車管理工程處。
(二) 期刊論文
杜宇璇、宋豐荃、曾禹瑄、葛仲寧、陳奉瑤,2013,「臺灣特徵價格模型之回顧分析」,『土地問題研究季刊』,12(2):44-57。
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』,16:1-22。
林祖嘉、黃麗蓉,2014,「嫌惡性風水對商用不動產價格影響之研究」,『住宅學報』,23:51-72。
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。
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』,20:61-80。
毛麗琴,2009,「影響房價變動因素之探討-以高雄市區爲例」,『商業現代化學刊』,5(2):141-156。
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」,『臺灣土地研究』,20(2):31-58。
徐士勛、陳琮仁、林士淵、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。
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。
溫福星,2013,「社會科學研究中使用迴歸分析的五個重要觀念」,『管理學報』,30(2):169-190。
(三) 學位論文
林筱涵,2016,「台北市巷道停車格收費對停車行為與特性之影響-以文山內湖為例」,國立交通大學運輸與物流管理學系碩士論文。
林彥竹,2015,「停車供需實證研究:以工具變數法分析臺北市路邊停車空間變化對停車行為的影響」,國立臺灣大學經濟學系碩士論文。
蔡孟秦,2020,「臺北市路邊停車研究:以空間分析探討停車收費政策影響」,國立政治大學地政學系碩士論文。
劉智偉,2021,「都市更新與都市危險及老舊建物重建對於周邊住宅價格影響之比較研究-以新北市為例」,國立政治大學地政學系碩士論文。
陳映如,2006,「消費者行為與消費空間關係之研究-以台北市商圈為例」,國立政治大學地政學系碩士論文。
張少綺,2020,「生活機能對住宅價格的影響-以臺北市大安區為例」,國立政治大學地政學系碩士論文。
林雅菁,2002,「從消費者觀點探討台南市傳統與新興商圈之競合關係-以中正與新光三越兩商圈的發展為例」,國立成功大學建築學系碩士論文。
宋豐荃,2013,「鄰近公園有助提升房價嗎?-大小公園對高低房價影響程度之研究」,國立政治大學地政學系碩士論文。
陳昌顯,1994,「混合土地使用之都市活動、運輸與停車需求整合模式之研究」,國立臺灣大學土木學系博士論文。
林雋修,2021,「房價與停車位價格之綜效分析-以臺北市為例」,國立政治大學地政學系碩士論文。
二、 外文參考文獻
Adelman, Irma, and Zvi Griliches. 1961. `On an index of quality change`, Journal of the American statistical Association, 56: 535-48.
Agarwal, Sumit, Satyanarain Rengarajan, Tien Foo Sing, and Yang Yang. 2016. `School allocation rules and housing prices: A quasi-experiment with school relocation events in Singapore`, Regional Science and Urban Economics, 58: 42-56.
Anderson, Simon P., and André de Palma. 2004. `The economics of pricing parking`, Journal of Urban Economics, 55: 1-20.
Arnott, Richard. 2006. `Spatial competition between parking garages and downtown parking policy`, Transport policy, 13: 458-69.
Arnott, Richard, and Eren Inci. 2006. `An integrated model of downtown parking and traffic congestion`, Journal of Urban Economics, 60: 418-42.
Arnott, Richard, and John Rowse. 2009. `Downtown parking in auto city`, Regional Science and Urban Economics, 39: 1-14.
Athey, Susan, and Guido W Imbens. 2006. `Identification and inference in nonlinear difference‐in‐differences models`, Econometrica, 74: 431-97.
Bakis, Ozan, Eren Inci, and Rifat Ozan Senturk. 2019. `Unbundling curbside parking costs from housing prices`, Journal of Economic Geography, 19: 89-119.
Court, A. T. 1939. `Hedonic price indexes with automotive examples`, The Dynamics of Automobile Demand: 98-119.
De Groote, Jesper, Jos Van Ommeren, and Hans RA Koster. 2018. `The impact of parking policy on house prices`, Journal of Transport Economics and Policy (JTEP), 52: 267-82.
Efthymiou, Dimitrios, and Constantinos Antoniou. 2013. `How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece`, Transportation Research Part A: Policy and Practice, 52: 1-22.
Follain, James R, and Stephen Malpezzi. 1980. Dissecting housing value and rent: Estimates of hedonic indexes for thirty-nine large SMSAs (Urban Institute Press).
Gabbe, CJ, and Greg Pierce. 2017. `The hidden cost of bundled parking`, ACCESS Magazine.
Gertler, P. J., et al. 2016. `Impact evaluation in practice`, World Bank Publications.
Hoshino, T. and K. Kuriyama. 2010). `Measuring the benefits of neighbourhood park amenities: Application and comparison of spatial hedonic approaches`,Environmental and Resource Economics, 45(3): 429-444.
Imbens, Guido W, and Jeffrey M Wooldridge. 2009. `Recent developments in the econometrics of program evaluation`, Journal of economic literature, 47: 5-86.
Inci, Eren. 2015. `A review of the economics of parking`, Economics of Transportation, 4: 50-63.
Jia, W. and M. Wachs. 1998. `Parking Requirements and Housing Affordability: Case Study of San Francisco`, Transportation Research Record, 1685(1): 156-160.
Kodransky, Michael, and Gabrielle Hermann. 2010. Europe`s parking U-Turn: From accomodation to regulation (Institute for Transportation and Development Policy).
Lancaster, Kelvin J. 1966. `A new approach to consumer theory`, Journal of political economy, 74: 132-57.
Litman, Todd. 2006. Parking management: strategies, evaluation and planning (Victoria Transport Policy Institute Victoria, BC).
Rosen, Sherwin. 1974. `Hedonic prices and implicit markets: product differentiation in pure competition`, Journal of political economy, 82: 34-55.
Söderberg, Bo. 2002. `A note on the hedonic model specification for income properties.` in, Real Estate Valuation Theory (Springer).
Shoup, D.C., and American Planning Association. 2005. The High Cost of Free Parking (Planners Press, American Planning Association).
Shoup, Donald C. 2006. `Cruising for parking`, Transport policy, 13: 479-86.
Sirmans, Stacy, David Macpherson, and Emily Zietz. 2005. `The composition of hedonic pricing models`, Journal of real estate literature, 13: 1-44.
Stephanie, Vanderford, Mimura Yoko, and Sweaney Anne. 2005. `A hedonic price comparison of manufactured and site-built homes in the non-MSA US`, Journal of Real Estate Research, 27: 83-104.
Taylor, Fred. 1916. Relation between primary market prices and qualities of cotton (US Department of Agriculture).
Tse, Raymond Y. C., and Peter E. D. Love. 2000. `Measuring residential property valuesin Hong Kong`, Property Management, 18: 366-74.
Van Ommeren, Jos, Derk Wentink, and Jasper Dekkers. 2011. `The real price of parking policy`, Journal of Urban Economics, 70: 25-31.
Waugh, Frederick V. 1928. `Quality factors influencing vegetable prices`, Journal of farm economics, 10: 185-96.
Weinberger, Rachel, John Kaehny, and Matthew Rufo. 2010. `US parking policies: An overview of management strategies`.
White, H. 1980. `A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity`, Econometrica, 48(4): 817-838.
Zheng, Xian, Wenwei Peng, and Mingzhi Hu. 2020. `Airport noise and house prices: A quasi-experimental design study`, Land Use Policy, 90: 104287.
描述 碩士
國立政治大學
地政學系碩士在職專班
108923023
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0108923023
資料類型 thesis
dc.contributor.advisor 江穎慧zh_TW
dc.contributor.advisor CHIANG, YING-HUIen_US
dc.contributor.author (Authors) 王承勳zh_TW
dc.contributor.author (Authors) Wang, Cheng-Hsunen_US
dc.creator (作者) 王承勳zh_TW
dc.creator (作者) Wang, Cheng-Hsunen_US
dc.date (日期) 2023en_US
dc.date.accessioned 9-Mar-2023 18:50:11 (UTC+8)-
dc.date.available 9-Mar-2023 18:50:11 (UTC+8)-
dc.date.issued (上傳時間) 9-Mar-2023 18:50:11 (UTC+8)-
dc.identifier (Other Identifiers) G0108923023en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/143885-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 地政學系碩士在職專班zh_TW
dc.description (描述) 108923023zh_TW
dc.description.abstract (摘要) 臺北市政府首創我國全面性路邊停車收費政策,於2015年核定實施「全市
路邊停車收費計畫」,過去幾年探討該政策的影響研究,多在於對停車行為、停車特性以及停車供需的影響,尚未有研究針對房價進行完整影響分析。
本論文以文山區作為實證地區,整理不動產交易實價登錄資料,將有停車位
的房地交易案例拆分停車位價格,以詳實反應停車位變數,利用傳統迴歸模型最小平方法(OLS),觀察停車位變數於政策實施前後對房價的影響效果;繼而以差異中之差異法(DID),觀察房屋價格在全市路邊停車收費政策公布前後的變化,分析政府政策實施對房價的影響效果;最後基於前述方法,進一步加入超前及滯後變數進行分析。
前者實證結果顯示,依車位型態差異,有車位房屋較無車位房屋每坪價格高
出4.48%到6.35%,且該效果並未受全市路邊停車收費政策影響;後者實證結果發現,由於事前宣傳以及市民支持,實施全面性路邊停車收費政策,並未對房價造成顯著影響;此外以超前及滯後變數,涵蓋整體政策推動期程進行分析,其結果亦顯示並未觀察到明顯的房價變化趨勢。
zh_TW
dc.description.abstract (摘要) Taipei City is the first to initiate a comprehensive parking policy in Taiwan, most of the impact studies of parking policy has focused on parking behavior, parking characteristics, and parking supply and demand. However, a complete impact analysis on housing prices still await investigation.
This study takes Wenshan District as an empirical area, based on real price registration data, using the ordinary least squares model (OLS), observe the impact of parking variables on housing prices before and after the implementation of the policy; then use the difference-in-differences method (DID) to observe the changes in housing prices before and after the implementation of the policy; finally, based on the aforementioned method, use the lags and leads of the treatment variables instead of using a single treatment variable.
The former empirical results show that, depending on the types of parking spaces, the price per ping of houses with parking spaces is 4.48% to 6.35% higher than houses without parking spaces, and this effect is not affected by parking policy; the latter empirical results show that, the implementation of a comprehensive parking policy has
no significant impact on housing prices; in addition, the analysis of the lags and leads of the treatment variables also shows that no obvious changes.
en_US
dc.description.tableofcontents 第一章 緒論 1
第一節 研究動機與問題 1
第二節 研究範圍與方法 6
第三節 研究架構與流程 8
第二章 文獻回顧與整理 10
第一節 全市路邊停車收費計畫事件背景 10
第二節 路邊停車收費政策對房價的影響 14
第三節 特徵價格理論相關文獻 19
第四節 差異中之差異法相關文獻 24
第三章 研究設計與資料說明 26
第一節 研究設計 26
第二節 實證模型之建立 27
第三節 資料處理與說明 30
第四章 實證結果分析 43
第一節 臺北市全市路邊停車收費政策對車位有無對房價影響 43
第二節 臺北市全市路邊停車收費政策對房價影響 51
第五章 結論與建議 56
第一節 結論 56
第二節 建議 59
參考文獻 60
zh_TW
dc.format.extent 2460523 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0108923023en_US
dc.subject (關鍵詞) 路邊停車收費政策zh_TW
dc.subject (關鍵詞) 停車位zh_TW
dc.subject (關鍵詞) 房價zh_TW
dc.subject (關鍵詞) 差異中之差異法zh_TW
dc.subject (關鍵詞) Parking policyen_US
dc.subject (關鍵詞) Parkingen_US
dc.subject (關鍵詞) Housing pricesen_US
dc.subject (關鍵詞) Difference-in-differencesen_US
dc.title (題名) 路邊停車收費政策對房價之影響–以臺北市文山區為例zh_TW
dc.title (題名) The impact of on-street parking policy on housing prices — Case Study of Wenshan Districten_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 一、 中文參考文獻
(一) 專書
梁仁旭、陳奉瑤,2018,不動產估價,中國地政研究所。
臺北市停車管理處,2006,當我們停在一起 1999~2006 停車管理施政典藏,臺北市停車管理工程處。
(二) 期刊論文
杜宇璇、宋豐荃、曾禹瑄、葛仲寧、陳奉瑤,2013,「臺灣特徵價格模型之回顧分析」,『土地問題研究季刊』,12(2):44-57。
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』,16:1-22。
林祖嘉、黃麗蓉,2014,「嫌惡性風水對商用不動產價格影響之研究」,『住宅學報』,23:51-72。
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。
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』,20:61-80。
毛麗琴,2009,「影響房價變動因素之探討-以高雄市區爲例」,『商業現代化學刊』,5(2):141-156。
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」,『臺灣土地研究』,20(2):31-58。
徐士勛、陳琮仁、林士淵、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。
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。
溫福星,2013,「社會科學研究中使用迴歸分析的五個重要觀念」,『管理學報』,30(2):169-190。
(三) 學位論文
林筱涵,2016,「台北市巷道停車格收費對停車行為與特性之影響-以文山內湖為例」,國立交通大學運輸與物流管理學系碩士論文。
林彥竹,2015,「停車供需實證研究:以工具變數法分析臺北市路邊停車空間變化對停車行為的影響」,國立臺灣大學經濟學系碩士論文。
蔡孟秦,2020,「臺北市路邊停車研究:以空間分析探討停車收費政策影響」,國立政治大學地政學系碩士論文。
劉智偉,2021,「都市更新與都市危險及老舊建物重建對於周邊住宅價格影響之比較研究-以新北市為例」,國立政治大學地政學系碩士論文。
陳映如,2006,「消費者行為與消費空間關係之研究-以台北市商圈為例」,國立政治大學地政學系碩士論文。
張少綺,2020,「生活機能對住宅價格的影響-以臺北市大安區為例」,國立政治大學地政學系碩士論文。
林雅菁,2002,「從消費者觀點探討台南市傳統與新興商圈之競合關係-以中正與新光三越兩商圈的發展為例」,國立成功大學建築學系碩士論文。
宋豐荃,2013,「鄰近公園有助提升房價嗎?-大小公園對高低房價影響程度之研究」,國立政治大學地政學系碩士論文。
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