中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/64796
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 70588/70588 (100%)
造訪人次 : 23030256      線上人數 : 1028
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋

    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/64796

    題名: 住宅補貼申請戶特徵對審查合格影響之研究;Residential subsidies in feature of applicants for influence of review qualifiers by using SIP clustering method
    作者: 陳昌義;Chen,Chang-Yi
    貢獻者: 土木工程學系
    關鍵詞: 住宅補貼;資料探勘;群啟發;分群;群聚;residential subsidies;data mining;the group inspired;clustering;swarm
    日期: 2014-07-24
    上傳時間: 2014-10-15 14:25:25 (UTC+8)
    出版者: 國立中央大學
    摘要: 現有之住宅文化,受台灣近代發展歷史之波折而有很深的影響,其中最明顯的觀念即是”住者有其屋”。受此思考影響,即使房價自1987年後持續上漲,住宅自有率仍持續上升;但在此同時,相較於平均收入房價已超出合理之範圍,因此低收入戶之住宅自有率呈現負成長。也因如此,在無法強制介入住宅之自由市場或快速改善狀況的前下,住宅補貼即成為照顧弱勢族群不可或缺的政策。
    ;The existing housing situation in Taiwan –The history, development and modern changes of Taiwan’s economy have had a strong impact on Taiwan’s housing situation effecting the idea of home ownership. Although prices of homes have risen steadily since 1987, home sales have also continued to increase. At the same time average family income has risen to levels beyond the scope of reasonable pricing; and therefore home ownership rates for lower-income households has dropped. This is also the reason why a ‘free market’ system cannot be enforced during these periods of rapid expansion, so the establishment of housing policies to support the disadvantaged is essential.
    In accordance with the original structure, various policy measures were established based on occupation and the background of the applicant, with homogeneous interest rates and policy measures. These were dispersed and handled separately by several ministries, resulting in an efficient and effective use of resources and manpower; but not completely efficient. On 3 August 2006, the Council for Economic Affairs proposed that ‘Relative departments’ would conduct a professional review of the Residential Subsidy Program, since the program was based on subsidies that were approved before the year of 2005; and in the future would operate at the same level, and will be managed by the Ministry of the Interior.

    Since the inception of the subsidy program, the number of applicants exceeds 10,000 annually. This is a sizeable database. In addition to using traditional, statistical methods to analyze the basics, and also because of the vast amount of data for analyzing the results of the data mining, this study is in the use of data-mining algorithms - inspired by the group to apply for housing subsidy. Data for ‘clustering’ by individual groups reveals the unique nature of each group, and provides follow-up for operational and policy changes to each related reference.

    In its broadest scope, results can be realized regarding the economic situation of housing subsidies in a weak economy; but not necessarily aimed at ‘vulnerable’ groups. Within the program, assistance through a number of grants and benefits has existed for years without equality necessarily being directed to the economically disadvantaged groups. Finally, this research can provide data for the establishment of social benefits such as housing subsidies to the relevant authorities of the Ministry of the Interior to assist in the development of housing policy adjustments.
    顯示於類別:[土木工程研究所] 博碩士論文


    檔案 描述 大小格式瀏覽次數


    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋  - 隱私權政策聲明