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題名:家戶住宅消費調整選擇行為之研究--臺灣地區擁屋家戶的實證分析
書刊名:臺灣土地研究
作者:曾喜鵬 引用關係薛立敏
作者(外文):Tseng, Hsi-pengHsueh, Li-min
出版日期:2008
卷期:11:2
頁次:頁105-125
主題關鍵詞:居住不滿意遷移換屋現宅改善Residential dissatisfactionMovingHome improvement
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(5) 博士論文(1) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:5
  • 共同引用共同引用:23
  • 點閱點閱:61
當家戶對其現有住宅不滿意時,通常會以遷移換屋或就現宅改善的方式來加以調整,但也可能因為調整的成本大於效益,而暫時忍耐不採取行動,國內相關研究尚未對此一議題進行深入探討。基此,本研究即從住宅消費失衡與居住不滿意的觀點,建構一個解釋家戶住宅消費調整策略選擇的概念性模型,其中詳細說明了家戶調整住宅消費行為產生的原因,及其在遷移換屋、現宅改善與不調整三種策略間的選擇行為。在實證研究上,本研究利用主計處民國84 年「人口及居住調查」之原始資料,以台灣地區的擁屋家戶為對象,分別利用主成份分析、迴歸分析及多項Logit 模型來進行實證研究。主要研究發現如下:(1)當家戶對居住之便利性或安全衛生與美觀等鄰里環境之不滿意度增加時,較傾向以「遷移換屋」的方式來調整住宅消費,但因「現宅改善」無法改變鄰里環特徵,因此選擇「不調整」的可能性也較「現宅改善」高;(2)當家戶對住宅內部品質之不滿意度增加時,選擇「現宅改善」之可能性較「遷移換屋」或「不調整」來得高;(3)居住在都市化程度較高地區、戶長所得較高以及現有住宅類型屬於公寓大廈或連棟雙拼者,選擇「遷移換屋」的可能性較高。
In this paper, a conceptual framework was constructed for explaining the relationship among housing consumption disequilibrium, dissatisfaction and adjustment strategies. We hypothesize that households’ decisions on housing adjustment strategies will be influenced by dissatisfactions on housing characteristics and resources possessed by households. The “1995 Population and Housing Survey” was utilized to test the hypothesis, using the principal component analysis, regression analysis and multinomial logit model. The main findings are as follows: First, if households are dissatisfied with the neighborhood services, they are more likely to move than to demand for improvement. Second, if households are dissatisfied with the internal environment of the current dwelling unit, they are more likely to choose to improve the unit than to move or do nothing. Third, households who live in highly urbanized areas, apartment housing units and have higher income are more likely to move than to improve their dwellings.
期刊論文
1.Brummell(1979)。A Model of Intraurban Mobility。Economic Geography,55,338-352。  new window
2.Alden, Speare Jr.(1974)。Residential Satisfaction as an Intervening Variable in Residential Mobility。Demography,11(2),173-188。  new window
3.Wolpert, J.(1966)。Migration as an Adjustment to Environmental Stress。Journal of Social Issues,22,91-102。  new window
4.Weinberg, D. H.、Friedman, J.、Mayo, Stephen K.(1981)。Intraurban Residential Mobility: The Role of Transactions Costs, Market Imperfections, and Household Disequilibrium。Journal of Urban Economics,9(3),332-348。  new window
5.薛立敏、曾喜鵬(20000800)。臺灣各都市內部遷移率與住宅市場關係之實證研究。住宅學報,9(2),79-97。new window  延伸查詢new window
6.Goldfinch, Judy、Tu, Yong(1996)。A Two-stage Housing Choice Forecasting Model。Urban Studies,33(3),517-537。  new window
7.陳淑美、張金鶚(20040600)。三代同堂家庭遷移決策之研究。人文及社會科學集刊,16(2),325-349。new window  延伸查詢new window
8.Hanushek, E. A.、Quigley, J. M.(1978)。An Explicit Model of Intra-metropolitan Mobility。Land Economics,54(4),411-429。  new window
9.Seek, N. H.(1983)。Adjusting Housing Consumption: Improve or Move。Urban Studies,20,455-469。  new window
10.Clark, W. A. V.、Onaka, J. L.(1983)。Life Cycle and Housing Adjustment as Explanations of Residential Mobility。Urban Studies,20,47-57。  new window
11.Wolpert, J.(1964)。Behavioral Aspects of the Decision to Migrate。Papers and Proceedings of the Regional Science Association,15,159-169。  new window
12.Shefer, D.(1986)。Utility Changes in Housing and Neighborhood Services for Household Moving into and Out of Distressed Neighborhoods。Journal of Urban Economics,19,107-124。  new window
13.Brown, D. L.、Moore, E. G.(1970)。The Intraurban Migration Process: A Perspective。Geografiska Annaler,52,1-13。  new window
14.Baker, K.、Kaul, B.(2002)。Using Multiperiod Variables in the Analysis of Home Improvement Decisions by Homeowners。Real Estate Economics,30(4),551-566。  new window
15.Littlewood, A.、Muno, M.(1997)。Moving and Improving: Strategies for Attaining Housing Equilibrium。Urban Studies,34(11),1771-1787。  new window
會議論文
1.靳燕玲(2003)。購屋遷移計畫中的裝修需求調查。2004年中華民國住宅學會第十三屆年會學術研討會。中華民國住宅學會。447-453。  延伸查詢new window
圖書
1.Rossi, P. H.(1955)。Why Families Move: A Study in the Social Psychology of Urban Residential Mobility。Free Press。  new window
2.Liao, Tim Futing(1994)。Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models。Thousand Oaks, Calif:Sage Publication。  new window
3.Hatcher, L.(1994)。A step-by-step approach to use the SAS system for factor analysis and structural equation modeling。SAS Institute。  new window
 
 
 
 
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