English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109956/140891 (78%)
Visitors : 46378808      Online Users : 638
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/141234


    Title: 受租賃補助家戶之政策選擇與空間分布
    Policy choice and spatial distribution of rent subsidized households
    Authors: 張智妍
    Chang, Chih-Yen
    Contributors: 江穎慧
    Chiang, Ying-Hui
    張智妍
    Chang, Chih-Yen
    Keywords: 租金補貼
    社會住宅包租代管
    居住品質
    羅吉斯模型
    Rent Subsidy
    Project of Incentive for Privately-Owned Subsidized Housing
    Living quality
    Logistic Model
    Date: 2022
    Issue Date: 2022-08-01 18:24:21 (UTC+8)
    Abstract: 貧富差距、高房價問題,家戶購買房屋之負擔逐漸增加。政府制定不同住宅政策,並逐年增加補助預算,希冀解決民眾居住需求問題,相關補助政策之實行是否有實際幫助到相對弱勢者相當重要。本研究利用實價登錄、租金補貼與社會住宅包租代管計畫三項資料,檢視家戶承租建物、租賃金額、鄰里環境等相關特徵及空間分布,藉以分析受租賃補助家戶在領有補貼後之相關特性與居住品質。本研究實證發現,租金補貼家戶空間之分布大致與未受租賃補助之一般租賃家戶、包租代管家戶相同,並主要分布於人口密度高且交通要道附近地區。建物特徵方面,租金補貼家戶與未受租賃補助之一般租賃戶以及包租代管家戶相比,相對居住在屋齡高、面積小之房屋內。顯示在獲得補助後,租金補貼與其他家戶在居住品質仍有差異。
    依受租賃補助家戶政策選擇羅吉斯模型,家戶屬社會弱勢者相對於不具任何弱勢身分之一般戶偏好包租代管;人口數2人以上之家戶相對單人家戶,以及每人租金預算越高之家戶,其選擇包租代管之可能性皆較高。顯示家戶在進行各項評估後,會選擇參與對自己最有利之政策,從而使得各類政策所服務之對象有所差異。又現行租賃補助政策之制度設計,可能無法使弱勢者獲得最合適之協助,例如經濟弱勢戶參與包租代管每坪可領有之補助大於其參與租金補貼,但包租代管中經濟弱勢戶所佔數量為低。政府於包租代管每一戶所需投入成本及資源較高,而其不具任何弱勢身分一般戶所佔比例近五成,未將資源主要分配予負擔能力相對低之弱勢族群。建議重新檢視政策之制度設計,針對不同弱勢族群,給予合適協助,以提升政策執行之效率。
    Due to the widening gap between the rich and the poor and high housing prices, the burden on households to buy a house has increased. The government has formulated different housing policies and increased the subsidy budget year by year, hoping to solve the problem. It is very important whether the implementation of the housing subsidy policy actually helps the relatively disadvantaged. This study uses three data from different policies, including Transaction Price Registration, Rent Subsidy Policy and Project of Incentive for Privately-Owned Subsidized Housing. In order to analyze characteristics and living quality of households receiving rent subsidies, we check the rental buildings, rent, neighborhood and spatial distribution of households.
    This study finds that the distribution of the space of households receiving rent subsidies is roughly the same as that of general rental households and households joining project of Incentive for Private-Owned Subsidized Housing. And they are mainly distributed in areas with high population density and near traffic arteries. In terms of building characteristics, households receiving rent subsidies are relatively living in older, smaller-sized houses. It shows that after receiving the subsidy, the rental subsidy is still different from other households in terms of living quality.
    According to the Policy Choice Logistic Model, households that are socially disadvantaged prefer to Project of Incentive for Privately-Owned Subsidized Housing. Households with a population of more than 2 people and the higher the rental budget per person households are more likely to choose Project of Incentive for Privately-Owned Subsidized Housing, too. It shows that after conducting various assessments, households will choose to participate in the policies that are most beneficial to them. In addition, the design of the current rental subsidy policy may not enable the disadvantaged to obtain the most appropriate assistance. For example, the financially disadvantaged households participating in the Project of Incentive for Privately-Owned Subsidized Housing can receive more subsidy than participating in the Rent Subsidy Policy, but the number of economically disadvantaged households in the Project of Incentive for Privately-Owned Subsidized Housing is low.
    In addition, the government requires to invest a higher cost for each household in Project of Incentive for Privately-Owned Subsidized Housing, while the proportion of households without any vulnerable statuses is nearly 50%. It shows that resources are not mainly allocated to disadvantaged groups. It is recommended to review the design of the policy and provide appropriate assistance to different disadvantaged groups to improve the efficiency of policy implementation.
    Reference: 內政部,2011a,「民國101年至民國104年整體住宅政策實施方案」,臺北市:內政部。
    內政部,2011b,「社會住宅短期實施方案」,臺北市:內政部。
    內政部,2011c,「社會住宅需求調查報告」,臺北市:內政部。
    內政部,2014,「社會住宅中長期推動方案暨第一期實施計畫」,臺北市:內政部。
    內政部,2015,「『租賃補助評點基準表合理性之研究』專業服務委託案總結報告書」,內政部營建署委託研究報告,臺北市:內政部。
    內政部,2017,「106年度社會住宅包租代管試辦計畫」,臺北市:內政部。
    內政部,2018,「106年度『租金資料價格蒐集、負擔基準及補貼金額計算方式之研究』專業服務委託案結案報告書」,內政部營建署委託研究報告,臺北市:內政部。
    內政部,2019,「社會住宅包租代管第2期計畫」,臺北市:內政部。
    內政部,2020,「108年住宅需求動向調查」,臺北市:內政部。
    內政部,2021a,「整合住宅補貼資源實施方案」,臺北市:內政部。
    內政部,2021b,「109年住宅需求動向調查」,臺北市:內政部。
    白仁德、劉人華,2014,「大眾運輸導向建成環境特性對捷運運量影響之研究-以臺北捷運為實證對象」,『建築與規劃學報』,15(2/3),111-128。
    江穎慧,2011,「社會住宅的迷思」,『新社會政策』,(15),30-31。
    花敬群、江尚書,2020,「『包租代管』如何帶動租屋市場健全發展?」,『消費者報導』,472,55-59。
    吳文傑、連賢明、林祖嘉,2004,「居住住宅所有權屬與住宅品質對於老年人健康狀態的影響」,『都市與計劃』,31(4),313-324。
    李得全、羅煊、謝一鋒,2020,「論居住正義及其解方:臺灣與臺北」,『台灣土地研究』,23(2),157-193。
    林祖嘉、華昌宜、薛立敏、張金鶚、林秋瑾、賴碧瑩、…楊宗憲,1999,「台灣地區整體住宅政策之研究」,內政部營建署委託研究報告。
    林哲宇,2009,「住宅選擇行為預測在資料不確定下的分析方法」,國立成功大學都市計畫研究所碩士論文,臺南市。
    莊孟翰,2002,「輔購住宅與租金補貼政策之比較研究」,行政院經濟建設委員會委託研究報告。
    原住民族委員會,2015,「部落介紹」,2022年1月18日,取自http://www.tipp.org.tw/tribe_detail3.asp?City_No=2&TA_No=7&T_ID=651
    袁增嘉,2016,「弱勢者對租賃補助政策選擇之研究-以臺中市為例」,逢甲大學土地管理學系碩士班,臺中市。
    翁貴貞,2014,「台灣跨縣市人口遷徙之研究-與五都升格和財政結構之關係」,國立清華大學經濟學系碩士班,新竹市。
    基隆市七堵區公所,2021,「人口結構分析」,基隆市:七堵區公所。
    陳怡伶、黎德星,2010,「新自由主義化、國家與住宅市場—臺灣國宅政策的演變」,『地理學報』,59,105-131。
    陳信木、陳玉華、胡力中,2020,「我國區域層級之家戶推計模擬」,國家發展委員會委託研究報告。
    陳彥仲,1997,「住宅選擇之程序性決策模式」,『住宅學報』,5,37-49。
    陳建良、李巧琳,2013,「台灣家戶住宅面積需求變化:條件分配觀點之分析
    」,『住宅學報』,22(2),1-34。
    陳麗春,2008,「住宅政策之回顧與前瞻」,『社區發展季刊』,121,4-13。
    張智元、柯貴勝、孫珮齊、張艾琳,2020,「社會發展計畫效益評估—以社會住宅興辦計畫為例」,國家發展委員會委託研究報告。
    張雅惠,2008,「住宅租金補貼政策之初探」,『土地問題研究季刊』,7(3),74-80。
    張弼超,2020,「從我國住宅政策轉變看新北市社會住宅推動成果」,新北市政府主計處。
    彭揚凱、呂秉怡、花敬群、陳美玲、黃麗玲、詹竣傑、…劉佩蓉,2015,「鼓勵民間興辦社會住宅執行策略之研究」,國家發展委員會委託研究報告。
    彭建文、李美杏、陳冠儒,2020,「台灣地區居住滿意度影響因素之實證分析」,『都市與計劃』,47(3),243-270。
    鼎漢國際工程顧問有限公司,2011,「臺中都會區大眾捷運系統後續路網橘線可行性研究」,臺中市政府委託研究報告。
    楊恭豪,2020,「包租代管政策下承租戶住宅選擇特性之研究—以臺北市為例
    」,國立政治大學地政學系碩士論文,臺北市。
    葉姿妤,2021,「社會住宅包租代管租金評定問題之研究」,國立政治大學地政學系碩士論文,臺北市。
    溫在弘,2021,「空間分析方法與應用二版」,臺北市:雙葉書廊。
    黃玉旻,2013,「從可負擔觀點探討台灣住宅政策演變之研究–1950年~2012年」,國立成功大學都市計劃研究所碩士論文,臺南市。
    黃若帆,2003,「以Logit模式分析科技人員住宅選擇之研究」,中華大學建築與都市計畫學系碩士論文,新竹市。
    黃昭閔、陳孟筠,2020,「分析租賃住宅市場租金水準之淺見」,台中市地政學會會刊,16-32。
    靳燕玲,2010,「居住調整決策中的社群關係與經濟理性」,『住宅學報』,19(1),1-27。
    許添本,2007,「人本交通運輸系統規劃及示範案例—大型都市層級」,行政院經濟建設委員會委託研究報告,臺北市:行政院。
    梁仁旭,2015,「資本化率屋齡效果之比較分析」,『台灣土地研究』,18(1),83-113。
    監察院,2019,「『我國社會住宅政策之推動成效及檢討』通案性案件調查研究報告」,臺北市:監察院。
    劉志林、王茂軍、柴彥威,2010,「空間錯位理論研究進展與方法論評述」,『人文地理』,25(1),1-6。
    劉瑞青,2019,「台北市租屋市場概況」,臺北市:臺北市政府主計處。
    顏志偉、簡文彥、賴宗裕、陳芊灼、蘇偉強、黃千倚,2012,「臺北都會區大眾捷運系統周邊土地整體開發計畫之探討」,『捷運技術半年刊』,46,143-160。
    顏嘉琪,2015,「台灣國家自主性之研究:以住宅政策為例」,國立中山大學政治學研究所碩士論文,高雄市。
    薛立敏、 曾喜鵬、陳雅君,2002,「區域人口遷入台北都會區地點選擇之實證研究」,『住宅學報』,11(2),159-178。
    謝博明、黃于禎,2021,「從家戶租屋需求觀點探討台灣租金補貼與租賃住宅政策」,『公共事務評論』,19(2),1-24。
    簡龍鳳、游建華,2011,「英美社會住宅及租金補貼政策之啟示與經濟分析」,『台灣銀行季刊』,62(3),46-172。
    Barkley, B., Higgins A., & Richter, F., 2015, “Do Tenant- and Place-Based Rental Housing Programs Complement Each Other? Evidence from Ohio”, Evidence from Ohio, 14(29).
    Chaskin, R. J., Joseph, M. L., Voelker, S., & Dworsky, A., 2012, “Public Housing Transformation and Resident Relocation: Comparing Destinations and Household Characteristics in Chicago”, A Journal of Policy Development and Research, 14(1), 183-214.
    Cunningham, M., Galvez, M., Aranda, C. L., Santos, R., Wissoker, D., Oneto, A., …Crawford, J.,2018, A Pilot Study of Landlord Acceptance of Housing Choice Vouchers, U.S. Department of Housing and Urban Development, Office of Policy Development and Research.
    Deng, L., 2007, “Comparing the effects of housing vouchers and low-income housing tax credits on neighborhood integration and school quality”, Journal of Planning Education and Research, 27(1), 20-35.
    Eggers, F. J., 2017, Characteristics of HUD-Assisted Renters and Their Units in 2013, U.S. Department of Housing & Urban Development Office of Policy Development & Research.
    Essi, E., & Tuukka, S., 2017, “Delivering Affordable Housing and Neighborhood Quality: A Comparison of Place- and Tenant-Based Programs”, Journal of Housing Economics, 42, 44-45.
    Galvez, M. M., 2010, “What Do We Know About Housing Choice Voucher Program Location Outcomes?”, What Works Collaborative.
    Haveman, R., 2013, “Do Housing Vouchers Work?”, Pathways, 15-17.
    Horn, K. M., Ellen, I. G., & Schwartz, A. E., 2014, “Do Housing Choice Voucher holders live near good schools?”, Journal of Housing Economics, 23, 28-40.
    Kim, J., Pagliara, F., & Preston, J., 2005, “The Intention to Move and Residential Location Choice Behaviour”, Urban Studies, 42(9), 1621-1636.
    Lee, B. H., & Waddell, P., 2010, “Residential mobility and location choice: a nested logit model with sampling of alternatives”, Transportation, 37, 587-601.
    Morita, T., Matsumoto, K., & Tsukada, S., 2018, “A study on selection factors of residence focusing on personal attributes and district characteristics - a case study of regional city in Japan”, GEOMATE Journal, 14(46), 26-31.
    Midi, H., Sarkar, S. K., & Rana, S. (2010). “Collinearity diagnostics of binary logistic regression model”. Journal of Interdisciplinary Mathematics, 13(3), 253-267.
    Susin, S., 2005, “Longitudinal Outcomes of Subsidized Housing Recipients in Matched Survey and Administrative Data”, Cityscape, 189-218.
    Stacy, C., Davis, C., Docter, B., Edmonds, L., González, J., Hariharan,A.,…, & Treskon, M., 2020, “Spatial Mismatch and Federally Supported Rental Housing: Do Public Housing and Vouchers Help People Live Closer to Available Jobs”, Urban Institute.
    Turok, I., Scheba, A., & Visagie, J., 2022, “Can social housing help to integrate divided cities?”, Cambridge Journal of Regions, Economy and Society, 15(1), 93-116.
    Wang, R., Walter, R. J., Arafat, A. A., Ding, X., & Naji, A. A., 2017, “Examining Neighborhood Opportunity and Locational Outcomes for Housing Choice Voucher Recipients: A Comparative Study between Duval County, Florida, and Bexar County, Texas”, City & Community, 16(4), 421-446.
    Woo, A., 2017, “Walkable Environments for Subsidized Households: Comparing Neighborhood Environments of Housing Choice Voucher and Low-Income Housing Tax Credit Households”, International Conference of Asian-Pacific Planning Societies,64.
    Wu, N., Zhao, S., 2014, “Impact of Transportation Convenience, Housing Affordability, Location, and Schooling in Residence Choice Decisions”, Journal of Urban Planning and Development,141(4), 05014028.
    Description: 碩士
    國立政治大學
    地政學系
    109257024
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0109257024
    Data Type: thesis
    DOI: 10.6814/NCCU202200723
    Appears in Collections:[地政學系] 學位論文

    Files in This Item:

    File Description SizeFormat
    702401.pdf11695KbAdobe PDF20View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback