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題名 銀行聚集與不動產價格之關係-以台北市辦公商圈為例
The relationship between cluster of banks and real estate price: Evidence from the office district in Taipei City作者 王群猛 貢獻者 陳奉瑤
王群猛關鍵詞 銀行聚集
商業聚集
特徵價格模型
辦公室價格日期 2013 上傳時間 14-Jul-2014 11:36:19 (UTC+8) 摘要 估價實務對於價格形成之主要因素分析,區域因素必須分析近鄰地區之公共設施概況,個別因素則要考慮公共設施之便利性,前者可以運用不動產與公共設施之距離予以客觀衡量,致於設施概況,則以定性分析為主。比較法是常被用來估計不動產價格的方法,在調整區域因素的項目時,對於勘估標的所在區域內的商業聚集程度是重要的考量因素,然而「商業聚集」不易界定,對於商業設施之種類、規模、聚集程度等之狀態,即便運用計量模型分析法,對於區域內之商業聚集這類不易量化之區域因素,仍不易分析。 都市中經常見到銀行的設立,而其分支機構之設立係由各銀行間獨立之經濟活動所決定,致使其具有其他公共設施未有之聚集特性,銀行提供金融服務,為商業活動不可或缺的一環,而各銀行選擇分行的設立區位時,受競相爭取市場的影響下,致銀行之聚集相當明顯,使其聚集現象或可作為商業聚集的替代指標;然而辦公用不動產與住宅用不動產的所有者,對於金融服務的需求應有所不同,從而銀行聚集程度與辦公室及住宅兩者間的價格應有不同程度之關係。本研究除試圖找出距銀行距離與不動產價格間之關係及商業聚集的有效替代指標外,亦嘗試以銀行聚集的量化分析方法補強區域因素分析時主觀的定性描述,提供後續研究方法之參考。 本研究實證,辦公用不動產在距銀行服務影響範圍50公尺內,其價格為顯著負向相關,而在住宅用不動產在距銀行服務影響範圍200公尺內,亦為顯著負向相關。故不動產離銀行越近,其單價越高,惟辦公用不動產的增加幅度大於住宅用不動產;而銀行聚集程度與鄰近不動產價格間的關係,則得到正向且顯著的結果。顯示在銀行服務範圍影響下,金融服務之便利性對於不動產的價格亦有明顯的正向關係,惟對住宅之影響低於對辦公用不動產價格之影響。故不動產鄰近銀行之聚集度得以反映該區域的價格關係,亦即銀行聚集度高的區域,不動產價格高於銀行聚集度低的區域,銀行聚集程度可為商業聚集之有效指標。 參考文獻 一、中文部分1. 方劭元,2013,『銷售模式對商用不動產價格之影響 ─ 以台北市辦公室為例』,國立政治大學地政學系碩士論文。2. 王秉杰,2008,『銀行分支機構設立區位評選模式之建構及其應用』,國立臺灣海洋大學航運管理學系碩士論文。3. 申軍,2002,『中小企業集群技術創新系統研究—以浙江省為例』,浙江大學碩士學位論文。4. 何友鋒、吳綱立,1993,「台中市住宅價格與住宅屬性關係之研究」,『建築學報』,8: 59-84。5. 吳明隆、張毓仁,2011,『SPSS(PASW)與統計應用分析 I』一版,台北: 五南圖書出版股份有限公司。6. 李春長、游淑滿、張維倫,2012,「公共設施, 環境品質與不動產景氣對住宅價格影響之研究─ 兼論不動產景氣之調節效果」,『住宅學報』,21(1): 67-68。7. 李馨蘋、劉代洋,1999,「租賃住宅市場租金之影響因素」,『中華管理評論』,2(1):1- 8。8. 林英彥,2006,『不動產估價』十一版,台北: 文笙書局股份有限公司。9. 林祖嘉,1992,「台灣地區房租與房價關係之研究」,『台灣銀行季刊』,43(1): 279-312。10. 林祖嘉、林素菁,1993,「台灣地區環境品質與公共設施對房價與房租影響之分析」,『住宅學報』,1: 21-45。11. 林祖嘉、馬毓駿,2007,「特徵方程式大量估價法在台灣不動產市場之應用」,『住宅學報』,16(2): 1-22。12. 林素菁,2004,「台北市國中小明星學區邊際願意支付之估計」,『住宅學報』,13(1): 15-34。13. 洪娟娟,2005,『區位因素與經營績效關係之研究—台灣銀行之實證』,國立東華大學企業管理學系碩士論文。14. 洪得洋、林祖嘉,1999,「台北市捷運系統與道路寬度對房屋價格影響之研究」,『住宅學報』,8: 47-68。15. 張金鶚、黃名義,2002,「分公司辦公室區位選擇之研究」,『中華民國住宅學會第十一屆年會論文』。16. 張嘉宇,2008,『台北市辦公大樓租金影響因素分析--以物業管理觀點為出發』,國立政治大學地政研究所碩士論文。17. 梁仁旭,2012,「不動產價值逆折舊之探討」,『住宅學報』,21(2): 71-89。18. 許慧娟,2012,『華光金融特區之可行性分析:產業群聚觀點』,淡江大學公共行政學系碩士論文。19. 陳曉蓉,2007,「台灣銀行業分行網絡之發展」,『台灣金融財務季刊』,8(4): 95-119。20. 曾翊瑋、黃名義、張金鶚,2010,「租戶結構對辦公大樓租金與空置率之影響」,『都市與計劃』,37(4): 481-500。21. 曾瑞鈴、柯瓊芳,2006,「都市發展與外商企業總部區位分佈模式之變遷: 以台北市美歐日商爲例」,『研究台灣』,(1): 109-150。22. 黃名義、張金鶚,1999,「台北市辦公室市場租金之研究」,『中華民國住宅學會第八屆年會論文集』,1: 77-93。23. 黃名義、張金鶚,2000,「不同產業企業總部辦公室區位選擇之研究」,『中華民國住宅學會第九屆年會發表論文』。24. 黃幹忠、葉光毅,2000,「中心商業區業種聚集現象之研究─ 以台南市中心商業區為例」,『建築與規劃學報』,1(3): 228-243。25. 楊宗憲、蘇倖慧,2011,「迎毗設施與鄰避設施對住宅價格影響之研究」,『住宅學報』,20(2): 61-80。26. 楊謙柔,2008,『都市住環境設施評價模式之研究』,中國文化大學建築及都市計畫研究所博士論文。27. 賴碧瑩,2008,『現代不動產估價理論與實務』,台北: 智勝文化事業有限公司。28. 邊泰明,1993,「臺灣地區製造業都市化經濟及地方化經濟分析」,『國立政治大學學報』,66下: 223-248。 二、外文部分1. 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國立政治大學
地政學系碩士在職專班
99923009
102資料來源 http://thesis.lib.nccu.edu.tw/record/#G0099923009 資料類型 thesis dc.contributor.advisor 陳奉瑤 zh_TW dc.contributor.author (Authors) 王群猛 zh_TW dc.creator (作者) 王群猛 zh_TW dc.date (日期) 2013 en_US dc.date.accessioned 14-Jul-2014 11:36:19 (UTC+8) - dc.date.available 14-Jul-2014 11:36:19 (UTC+8) - dc.date.issued (上傳時間) 14-Jul-2014 11:36:19 (UTC+8) - dc.identifier (Other Identifiers) G0099923009 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/67501 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 地政學系碩士在職專班 zh_TW dc.description (描述) 99923009 zh_TW dc.description (描述) 102 zh_TW dc.description.abstract (摘要) 估價實務對於價格形成之主要因素分析,區域因素必須分析近鄰地區之公共設施概況,個別因素則要考慮公共設施之便利性,前者可以運用不動產與公共設施之距離予以客觀衡量,致於設施概況,則以定性分析為主。比較法是常被用來估計不動產價格的方法,在調整區域因素的項目時,對於勘估標的所在區域內的商業聚集程度是重要的考量因素,然而「商業聚集」不易界定,對於商業設施之種類、規模、聚集程度等之狀態,即便運用計量模型分析法,對於區域內之商業聚集這類不易量化之區域因素,仍不易分析。 都市中經常見到銀行的設立,而其分支機構之設立係由各銀行間獨立之經濟活動所決定,致使其具有其他公共設施未有之聚集特性,銀行提供金融服務,為商業活動不可或缺的一環,而各銀行選擇分行的設立區位時,受競相爭取市場的影響下,致銀行之聚集相當明顯,使其聚集現象或可作為商業聚集的替代指標;然而辦公用不動產與住宅用不動產的所有者,對於金融服務的需求應有所不同,從而銀行聚集程度與辦公室及住宅兩者間的價格應有不同程度之關係。本研究除試圖找出距銀行距離與不動產價格間之關係及商業聚集的有效替代指標外,亦嘗試以銀行聚集的量化分析方法補強區域因素分析時主觀的定性描述,提供後續研究方法之參考。 本研究實證,辦公用不動產在距銀行服務影響範圍50公尺內,其價格為顯著負向相關,而在住宅用不動產在距銀行服務影響範圍200公尺內,亦為顯著負向相關。故不動產離銀行越近,其單價越高,惟辦公用不動產的增加幅度大於住宅用不動產;而銀行聚集程度與鄰近不動產價格間的關係,則得到正向且顯著的結果。顯示在銀行服務範圍影響下,金融服務之便利性對於不動產的價格亦有明顯的正向關係,惟對住宅之影響低於對辦公用不動產價格之影響。故不動產鄰近銀行之聚集度得以反映該區域的價格關係,亦即銀行聚集度高的區域,不動產價格高於銀行聚集度低的區域,銀行聚集程度可為商業聚集之有效指標。 zh_TW dc.description.tableofcontents 第一章 緒 論 1第一節 研究動機與目的 1第二節 研究方法、範圍與限制 4第三節 研究架構與流程 7第二章 文獻回顧 9第一節 影響不動產價格因素 9第二節 產業聚集的外部經濟 14第三節 銀行選址與聚集 17第四節 小結 21第三章 研究設計 23第一節 特徵價格模型之建構 23第二節 銀行聚集之衡量 29第三節 資料及變數說明 36第四章 實證分析 51第一節 辦公室價格與銀行距離及銀行聚集度之關係 51第二節 住宅價格與銀行距離及銀行聚集度之關係 57第五章 結論與建議 63第一節 結論 63第二節 建議 65參考文獻 67 zh_TW dc.format.extent 3872469 bytes - dc.format.mimetype application/pdf - dc.language.iso en_US - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0099923009 en_US dc.subject (關鍵詞) 銀行聚集 zh_TW dc.subject (關鍵詞) 商業聚集 zh_TW dc.subject (關鍵詞) 特徵價格模型 zh_TW dc.subject (關鍵詞) 辦公室價格 zh_TW dc.title (題名) 銀行聚集與不動產價格之關係-以台北市辦公商圈為例 zh_TW dc.title (題名) The relationship between cluster of banks and real estate price: Evidence from the office district in Taipei City en_US dc.type (資料類型) thesis en dc.relation.reference (參考文獻) 一、中文部分1. 方劭元,2013,『銷售模式對商用不動產價格之影響 ─ 以台北市辦公室為例』,國立政治大學地政學系碩士論文。2. 王秉杰,2008,『銀行分支機構設立區位評選模式之建構及其應用』,國立臺灣海洋大學航運管理學系碩士論文。3. 申軍,2002,『中小企業集群技術創新系統研究—以浙江省為例』,浙江大學碩士學位論文。4. 何友鋒、吳綱立,1993,「台中市住宅價格與住宅屬性關係之研究」,『建築學報』,8: 59-84。5. 吳明隆、張毓仁,2011,『SPSS(PASW)與統計應用分析 I』一版,台北: 五南圖書出版股份有限公司。6. 李春長、游淑滿、張維倫,2012,「公共設施, 環境品質與不動產景氣對住宅價格影響之研究─ 兼論不動產景氣之調節效果」,『住宅學報』,21(1): 67-68。7. 李馨蘋、劉代洋,1999,「租賃住宅市場租金之影響因素」,『中華管理評論』,2(1):1- 8。8. 林英彥,2006,『不動產估價』十一版,台北: 文笙書局股份有限公司。9. 林祖嘉,1992,「台灣地區房租與房價關係之研究」,『台灣銀行季刊』,43(1): 279-312。10. 林祖嘉、林素菁,1993,「台灣地區環境品質與公共設施對房價與房租影響之分析」,『住宅學報』,1: 21-45。11. 林祖嘉、馬毓駿,2007,「特徵方程式大量估價法在台灣不動產市場之應用」,『住宅學報』,16(2): 1-22。12. 林素菁,2004,「台北市國中小明星學區邊際願意支付之估計」,『住宅學報』,13(1): 15-34。13. 洪娟娟,2005,『區位因素與經營績效關係之研究—台灣銀行之實證』,國立東華大學企業管理學系碩士論文。14. 洪得洋、林祖嘉,1999,「台北市捷運系統與道路寬度對房屋價格影響之研究」,『住宅學報』,8: 47-68。15. 張金鶚、黃名義,2002,「分公司辦公室區位選擇之研究」,『中華民國住宅學會第十一屆年會論文』。16. 張嘉宇,2008,『台北市辦公大樓租金影響因素分析--以物業管理觀點為出發』,國立政治大學地政研究所碩士論文。17. 梁仁旭,2012,「不動產價值逆折舊之探討」,『住宅學報』,21(2): 71-89。18. 許慧娟,2012,『華光金融特區之可行性分析:產業群聚觀點』,淡江大學公共行政學系碩士論文。19. 陳曉蓉,2007,「台灣銀行業分行網絡之發展」,『台灣金融財務季刊』,8(4): 95-119。20. 曾翊瑋、黃名義、張金鶚,2010,「租戶結構對辦公大樓租金與空置率之影響」,『都市與計劃』,37(4): 481-500。21. 曾瑞鈴、柯瓊芳,2006,「都市發展與外商企業總部區位分佈模式之變遷: 以台北市美歐日商爲例」,『研究台灣』,(1): 109-150。22. 黃名義、張金鶚,1999,「台北市辦公室市場租金之研究」,『中華民國住宅學會第八屆年會論文集』,1: 77-93。23. 黃名義、張金鶚,2000,「不同產業企業總部辦公室區位選擇之研究」,『中華民國住宅學會第九屆年會發表論文』。24. 黃幹忠、葉光毅,2000,「中心商業區業種聚集現象之研究─ 以台南市中心商業區為例」,『建築與規劃學報』,1(3): 228-243。25. 楊宗憲、蘇倖慧,2011,「迎毗設施與鄰避設施對住宅價格影響之研究」,『住宅學報』,20(2): 61-80。26. 楊謙柔,2008,『都市住環境設施評價模式之研究』,中國文化大學建築及都市計畫研究所博士論文。27. 賴碧瑩,2008,『現代不動產估價理論與實務』,台北: 智勝文化事業有限公司。28. 邊泰明,1993,「臺灣地區製造業都市化經濟及地方化經濟分析」,『國立政治大學學報』,66下: 223-248。 二、外文部分1. 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