第五章 結論與建議
第二節 建議
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(三) 加入深度訪談
本研究以問卷調查方式取得分析數據,進行量化研究,以曾申請都市 更新概要計畫之實施者為研究對象,並未控制實施者之規模、成立時間…
等因素,建議可加入相關控制因素,增加不同條件背景實施者之比較,並 建議加入深度訪談,進一步了解較具規模之實施者其與土地權利人之合作 經驗。
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參考文獻
一、中文參考文獻
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吳明隆,2009,「結構方程模式: SIMPLIS 的應用」,五南文化事業機構。
邱皓政,2011,「結構方程模式」,雙葉書廊。
黃泳涵,2010,「信任與都市更新參與整合意願之研究」,國立政治大學地 政學系碩士班論文:台北。
張陳基,2010,「Perceived Social Loafing and Community Cohesion in Virtual Communities: a Perspective of Social Capital」,國立中央大學資訊管理 學系博士論文。
卓輝華,2010,「都市更新權利變換制度的委託代理、產權結構與契約關係 之研究」,國立政治大學地政學系博士班論文:台北。
羅浚杰,2008,「以賽局理論探討民間土地整合開發之地主拿翹行為」,國 立臺北大學不動產與城鄉環境學系碩士班論文:台北。
楊松齡、卓輝華,2011,「從產權分離探討都市更新之激勵機制」,台灣土 地研究,第 14 卷第 1 期。
內政部營建署,2008,都市更新作業手冊。http://twur.cpami.gov.tw/,取用 日期:2012 年 12 月 7 日。
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in Business and Social Sciences,2(1):470-486
三、網頁參考文獻
營建署都市更新入口網,2011,http://twur.cpami.gov.tw/invest/i-index.aspx,
取用日期:2011 年 11 月 1 日。
聯合新聞網,2012,http://udn.com/NEWS/mainpage.shtml,取用日期:2012 年 12 月 7 日。
蘋果日報,2012,http://www.appledaily.com.tw,取用日期:2012 年 12 月 7 日。
台北市政府都市更新處,2011,http://www.uro.taipei.gov.tw,取用日期:2011 年 11 月 1 日。
新北市政府城鄉發展局,2011,http://www.planning.ntpc.gov.tw,取用日期:
2011 年 11 月 1 日。
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電話:(02)29393091#50609 傳真:(02)29369227 信箱:99257011@nccu.edu.tw‧
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定 □如土地權利人之利益與公司本身利益無衝突時,則同意
4、與土地權利人進行協商,遇有不同意見時,通常花多少時間進行溝通?
□一周內完成 □一個月內完成 □待時間緊迫時,才密集溝通
□待土地權利人主動詢問時溝通 □盡量不溝通 第五部分:實施者本身資訊
1、貴公司之經營行業屬性?
□建設公司 □開發公司 □營造公司 □其他組織 2、貴公司是否為上市(櫃)公司?
□上市公司 □籌備上市中 □上櫃公司 □籌備上櫃中 □非上市(櫃)公司 3、貴公司過去建築個案之獲獎經歷如何
(包括國家建築金質獎、國家卓越建設獎…等,請以最近一次獲獎經驗回答)?
□近一年內有獲獎紀錄 □近 2~3 年內有獲獎紀錄 □近 5 年內有獲獎紀錄
□近 10 年內有獲獎紀錄 □未曾獲獎
~本問卷到此結束,謝謝您的寶貴意見!~
本問卷已附上回郵,請折疊裝訂後投擲郵筒即可,非常非常感謝
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附錄二、SEM 結果之 t 檢定值
利用最大概似值法(Maximum Likelihood, ML)進行參數估算的結果,
第一行值為標準化參數值,第二行括弧內數值為標準誤(standard error),
第三行為t值。若t值大於1.645,表此估計參數達到α=0.1之顯著水準;若t 值大於1.96,表此估計參數達到α=0.05的顯著水準;若t值大於2.575,俵此 估計參數達到α=0.01之顯著水準。
一、測量模式(Measurement Equations)
Trust2 = 0.72*信任, Errorvar.= 0.86 , R2 = 0.37 (0.11) (0.13)
6.61 6.75
Trust5 = 0.75*信任, Errorvar.= 0.56, R2 = 0.50 (0.094) (0.088)
8.03 6.39
Trust6 = 0.76*信任, Errorvar.= 0.78 , R2 = 0.43 (0.11) (0.12)
7.19 6.62
Trust7 = 0.87*信任, Errorvar.= 0.23 , R2 = 0.77 (0.080) (0.052)
10.98 4.35
Trust8 = 0.86*信任, Errorvar.= 0.44 , R2 = 0.62 (0.092) (0.076)
9.35 5.81
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Recip3 = 0.79*互惠, Errorvar.= 0.33, R2= 0.66 (0.060)
5.41
Recip4 = 0.76*互惠, Errorvar.= 0.34, R2 = 0.63 (0.087) (0.061)
8.73 5.63 Recip7 = 0.58*互惠, Errorvar.= 0.30, R2 = 0.53 (0.073) (0.048)
7.84 6.18
Recip8 = 0.71*互惠, Errorvar.= 0.42, R2 = 0.55 (0.089) (0.068)
8.03 6.09
Coo2 = 0.93*Coop, Errorvar.= 0.34, R2 = 0.72 (0.080)
4.22
Coo3 = 0.90*合作, Errorvar.= 0.32, R2 = 0.72 (0.097) (0.075)
9.28 4.21 Coo4 = 0.87*合作, Errorvar.= 0.56 , R2 = 0.58 (0.10) (0.097) 8.37 5.73
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二、結構模式(Structural Equations)
互惠 = 0.82*信任, Errorvar.= 0.33, R2 = 0.67 (0.11) (0.092)
7.68 3.54
合作 = 0.56*互惠, Errorvar.= 0.68 , R2 = 0.32 (0.11) (0.15)
5.10 4.66 三、模型估計值(Estimates)
四、模型估計值(T-values)
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Degrees of Freedom = 52
Minimum Fit Function Chi-Square = 77.95 (P = 0.011)
Normal Theory Weighted Least Squares Chi-Square = 78.72 (P = 0.0098) Estimated Non-centrality Parameter (NCP) = 26.72
90 Percent Confidence Interval for NCP = (6.73 ; 54.67) Minimum Fit Function Value = 0.74
Population Discrepancy Function Value (F0) = 0.25 90 Percent Confidence Interval for F0 = (0.064 ; 0.52) Root Mean Square Error of Approximation (RMSEA) = 0.070 90 Percent Confidence Interval for RMSEA = (0.035 ; 0.10) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.15 Expected Cross-Validation Index (ECVI) = 1.24 90 Percent Confidence Interval for ECVI = (1.05 ; 1.51) ECVI for Saturated Model = 1.49
ECVI for Independence Model = 13.88
Chi-Square for Independence Model with 66 Degrees of Freedom = 1433.37 Independence AIC = 1457.37
Model AIC = 130.72 Saturated AIC = 156.00 Independence CAIC = 1501.33 Model CAIC = 225.97
Saturated CAIC = 441.75 Normed Fit Index (NFI) = 0.95 Non-Normed Fit Index (NNFI) = 0.98 Parsimony Normed Fit Index (PNFI) = 0.75 Comparative Fit Index (CFI) = 0.98 Incremental Fit Index (IFI) = 0.98 Relative Fit Index (RFI) = 0.93 Critical N (CN) = 106.89
Root Mean Square Residual (RMR) = 0.056 Standardized RMR = 0.051
Goodness of Fit Index (GFI) = 0.89
Adjusted Goodness of Fit Index (AGFI) = 0.83 Parsimony Goodness of Fit Index (PGFI) = 0.59