| dc.contributor.advisor | 張金鶚 | zh_TW |
| dc.contributor.author (Authors) | 黃文祺 | zh_TW |
| dc.creator (作者) | 黃文祺 | zh_TW |
| dc.date (日期) | 2007 | en_US |
| dc.date.accessioned | 18-Sep-2009 16:20:54 (UTC+8) | - |
| dc.date.available | 18-Sep-2009 16:20:54 (UTC+8) | - |
| dc.date.issued (上傳時間) | 18-Sep-2009 16:20:54 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0095257020 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/35903 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 地政研究所 | zh_TW |
| dc.description (描述) | 95257020 | zh_TW |
| dc.description (描述) | 96 | zh_TW |
| dc.description.abstract (摘要) | 在過去文獻中多有討論遷徙行為者，但少有對家戶的居住時間進行分析，本研究首先檢視自有者與租賃者之居住時間，其次為瞭解家戶對實質住宅的經濟需求較大，還是對已建立的社會關係網絡需求較大，提出居住時間的時間相依性問題，即隨著居住時間的增加，家戶會因為對住宅需求改變而愈容易遷徙？還是在累積惰性下愈不易遷徙？最後則是探討家戶居住時間的影響因素，藉由不同的住宅與家戶特徵來瞭解家戶可能的居住時間，以作為住宅遷徙、流動性及其他住宅政策分析之參考。本研究在實證方法上採取存活分析法，並利用華人家庭動態資料庫的橫斷面跨時資料進行研究。實證結果顯示，自有者的存活函數明顯大於租賃者，且自有家戶之居住時間為租賃家戶的3.11倍。另外，家戶遷徙機率具有正時間相依性，反應出家戶隨著居住時間的增加，遷徙機率會增加，然而自有家戶模型的遷徙機率卻呈現負時間相依性。居住時間影響因素實證結果，每人坪數較大，居住時間會較短，而年齡愈大與居住人數愈多者，居住時間會較長。 | zh_TW |
| dc.description.abstract (摘要) | Although there are lots of studies exploring migration, few of them focus on analysis household duration of residence. Duration of residence is an important source of information for a variety of private and pubic decisions and for the understanding of various social and economic phenomena. This study makes a residence duration comparison between owners and tenants. Due to cumulative stress and inertia, moving probability will be increased or decreased. We attempt to describe the duration of residence is positive or negative time dependent. This study also provides the evidence that house and household characteristics determine the duration of residence. This empirical study employs the survival analysis and uses the data from Panel Study of Family Dynamics. The result indicates that the survival function of owners is larger than of tenant. Duration of owner residence is 3.11 times longer than that of tenants. Generally, household moving probability is positive while the owner’s is negative. Research finding further reveals that ping per person is negatively related to residence duration. Age and household size are positively related to residence duration. | 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 研究方法與範圍 4第三節 研究架構與流程 5第二章 相關理論與文獻回顧 7第一節 居住遷徙理論 7第二節 權屬、遷徙與居住時間關係 12第三節 居住時間影響因素 15第四節 小結 19第三章 資料處理與分析 20第一節 資料處理 20第二節 樣本資料分析 21第三節 樣本檢定分析 24第四章 實證結果分析 27第一節 模型設定與變數選取 27第二節 實證結果分析 32第三節 小結 38第五章 結論與建議 39第一節 結論 39第二節 研究限制與後續建議 41參考文獻 43附錄一 家戶生命週期類型 46附錄二 華人家庭動態資料庫問卷(節錄) 47 | zh_TW |
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| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0095257020 | en_US |
| dc.subject (關鍵詞) | 遷徙行為 | zh_TW |
| dc.subject (關鍵詞) | 居住時間 | zh_TW |
| dc.subject (關鍵詞) | 存活分析 | zh_TW |
| dc.subject (關鍵詞) | Migration | en_US |
| dc.subject (關鍵詞) | duration of residence | en_US |
| dc.subject (關鍵詞) | survival analysis | en_US |
| dc.title (題名) | 家戶住宅居住時間分析-存活模型之運用 | zh_TW |
| dc.title (題名) | The Study for Household Duration of Residence-Apply the Survival Analysis | en_US |
| dc.type (資料類型) | thesis | en |
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