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題名 防疫旅館對鄰近房價的影響
The Impacts of Quarantine Hotels on Housing Prices
作者 薛鈺勳
Xue, Yu-Xun
貢獻者 胡偉民<br>黃柏鈞
薛鈺勳
Xue, Yu-Xun
關鍵詞 特徵價格模型
Box-cox
防疫旅館
半嫌惡設施
鄰避設施
Hedonic price
Box-Cox
Quarantine Hotels
Semi-Obnoxious Facility
NIMBY
日期 2022
上傳時間 1-Aug-2022 18:32:01 (UTC+8)
摘要 人們購屋時,為保值增值,會考量影響房價多項因素,包含外部特徵的周遭就業就學機會、區位獨特性、生活機能良窳、交通便捷度、不同價位住宅商品之區隔性、總體經濟、政策面向;同時也會將房屋本身特質如坪數、建材、樓層等納入決策因素,外部與內部特徵皆對房價的變動皆有顯著的影響。

影響外部特徵的場所又可區分為迎毗設施與鄰避設施,過去許多文獻探討正向與負向設施對於房屋價格影響程度。然而,新冠疫情爆發,持續延燒至今,原本帶來絡繹人潮的重要商圈逐漸沒落,周邊光觀旅宿紛紛轉型為防疫旅館,因應防疫政策並支撐經濟蕭條時期。疫情的衝擊使許多設施由迎毗設施變成鄰避設施,居民避免居住於人流頻繁地區周圍,以降低確診風險。

本研究運用防疫旅館資料、實價登錄交易資料及內政部地標圖資,透過豐富資料來評估住宅交易市場的影響,考慮房屋本身特徵外也同時加入除了旅館業與其他迎毗及鄰避設施。利用特徵價格模型進行六種迴歸分析,實證結果顯示,防疫旅館具有半嫌避設施的特性。觀光旅館多位於生活機能完善地區,在轉型為防疫旅館後則成為疫情擴散設施,使得不同模型估計下,房價與距離關係呈現正負皆有的情形。
People usually want to buy a property that can keep its value over time.There are some factors that will take into consideration, including the property`s internal attributes like floors, building materials, and external surroundings location, life function, amenities.

The facilities can be categorized into positive and negative impacts on real estate. The YIMBY facilities provide benefits to the neighbor, and the NIMBY are damaging
facilities that might be detrimental to health and security. However, in the wave of the Covid-19 pandemic, many businesses, and shopping districts are vulnerable to
influence severely. Some hotels transform to quarantine hotels to help with medical resources and support their financial crunch. There were also many YIMBY facilities
converted to NIMBY since people avoid residing nearby areas with dense populations.

The study adopts the quarantine hotel data, actual transaction price registration data, and landmark location data to evaluate the impact on the real estate transaction
market. Besides, The regressions analysis is conducted in the hedonic price model. The empirical results concluded as follows: The quarantine hotels might categorize as Semi-Obnoxious Facilities. Tourist hotels were located in an area that provided great amenities and surrounding pivot transport. However, the hotels become the dispersal center of the virus after they change to the quarantine hotels. Therefore, the relationship between distances and house prices is both positive and negative under six regression models.
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張莉君(2016). 迎毗設施及鄰避設施對房屋價格影響之研究-以新北市板橋區及新莊區為例(碩士論文),國立中央大學。
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李永展(1997). 鄰避症候群之解析,都市與計劃,24(1),69 - 79。
廖仲仁(1994). 機場噪音對住宅價格之影響-以臺北松山機場附近住宅為例(碩士論文),台灣大學。
楊宗憲與蘇倖慧(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)。
楊重信、王安民(2008). 基隆河流域洪災防治效益之評估:特徵價格法之應用,都市與計劃,35(1),29-47。
楊國柱、顏愛靜(2004). 殯葬設施設置鄰避衝突之分析:以交易成本理論為觀點,中國行政評論,14(1)。
陳冠儒(2021). 民眾對社會住宅弱勢保障比率態度之影響因素分析,住宅學報。
林忠樑與林佳慧(2014). 學校特徵與空間距離對周邊房價之影響分析-以台北市為例,台灣大學。
林楨家與張佑川(2006). 台北捷運地下街店舖租金分析-特徵價格法之應用,建築與規劃學報,30(1),1-26。
林郁欽、王秋原(2005). 從環境識覺觀點分析加油站設置的鄰避效果-台北都會區的個案研究,華岡地理學報,18,3-1-3-32。
52
林茂成(2001). 鄰避型設施區位選擇與處理模式之探討-以都會區捷運系統為例(上),現代營建,22(5),67-76。
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英文部分
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描述 碩士
國立政治大學
財政學系
109255026
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0109255026
資料類型 thesis
dc.contributor.advisor 胡偉民<br>黃柏鈞zh_TW
dc.contributor.author (Authors) 薛鈺勳zh_TW
dc.contributor.author (Authors) Xue, Yu-Xunen_US
dc.creator (作者) 薛鈺勳zh_TW
dc.creator (作者) Xue, Yu-Xunen_US
dc.date (日期) 2022en_US
dc.date.accessioned 1-Aug-2022 18:32:01 (UTC+8)-
dc.date.available 1-Aug-2022 18:32:01 (UTC+8)-
dc.date.issued (上傳時間) 1-Aug-2022 18:32:01 (UTC+8)-
dc.identifier (Other Identifiers) G0109255026en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/141267-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 財政學系zh_TW
dc.description (描述) 109255026zh_TW
dc.description.abstract (摘要) 人們購屋時,為保值增值,會考量影響房價多項因素,包含外部特徵的周遭就業就學機會、區位獨特性、生活機能良窳、交通便捷度、不同價位住宅商品之區隔性、總體經濟、政策面向;同時也會將房屋本身特質如坪數、建材、樓層等納入決策因素,外部與內部特徵皆對房價的變動皆有顯著的影響。

影響外部特徵的場所又可區分為迎毗設施與鄰避設施,過去許多文獻探討正向與負向設施對於房屋價格影響程度。然而,新冠疫情爆發,持續延燒至今,原本帶來絡繹人潮的重要商圈逐漸沒落,周邊光觀旅宿紛紛轉型為防疫旅館,因應防疫政策並支撐經濟蕭條時期。疫情的衝擊使許多設施由迎毗設施變成鄰避設施,居民避免居住於人流頻繁地區周圍,以降低確診風險。

本研究運用防疫旅館資料、實價登錄交易資料及內政部地標圖資,透過豐富資料來評估住宅交易市場的影響,考慮房屋本身特徵外也同時加入除了旅館業與其他迎毗及鄰避設施。利用特徵價格模型進行六種迴歸分析,實證結果顯示,防疫旅館具有半嫌避設施的特性。觀光旅館多位於生活機能完善地區,在轉型為防疫旅館後則成為疫情擴散設施,使得不同模型估計下,房價與距離關係呈現正負皆有的情形。
zh_TW
dc.description.abstract (摘要) People usually want to buy a property that can keep its value over time.There are some factors that will take into consideration, including the property`s internal attributes like floors, building materials, and external surroundings location, life function, amenities.

The facilities can be categorized into positive and negative impacts on real estate. The YIMBY facilities provide benefits to the neighbor, and the NIMBY are damaging
facilities that might be detrimental to health and security. However, in the wave of the Covid-19 pandemic, many businesses, and shopping districts are vulnerable to
influence severely. Some hotels transform to quarantine hotels to help with medical resources and support their financial crunch. There were also many YIMBY facilities
converted to NIMBY since people avoid residing nearby areas with dense populations.

The study adopts the quarantine hotel data, actual transaction price registration data, and landmark location data to evaluate the impact on the real estate transaction
market. Besides, The regressions analysis is conducted in the hedonic price model. The empirical results concluded as follows: The quarantine hotels might categorize as Semi-Obnoxious Facilities. Tourist hotels were located in an area that provided great amenities and surrounding pivot transport. However, the hotels become the dispersal center of the virus after they change to the quarantine hotels. Therefore, the relationship between distances and house prices is both positive and negative under six regression models.
en_US
dc.description.tableofcontents 目錄
摘要 v
Abstract vi
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 3
第三節 研究流程 5
第二章 文獻回顧 6
第一節 新冠疫情與房價相關研究 6
第二節 迎毗、鄰避、半嫌惡設施 8
第三節 特徵價格相關研究 14
第三章 研究方法 17
第一節 研究目的與方法17
第四章 資料處理與變數 22
第一節 研究資料 22
第二節 變數設定與敘述統計 25
第五章 實證分析 33
第六章 結論 48
參考文獻 51
附錄 57
zh_TW
dc.format.extent 2465335 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0109255026en_US
dc.subject (關鍵詞) 特徵價格模型zh_TW
dc.subject (關鍵詞) Box-coxzh_TW
dc.subject (關鍵詞) 防疫旅館zh_TW
dc.subject (關鍵詞) 半嫌惡設施zh_TW
dc.subject (關鍵詞) 鄰避設施zh_TW
dc.subject (關鍵詞) Hedonic priceen_US
dc.subject (關鍵詞) Box-Coxen_US
dc.subject (關鍵詞) Quarantine Hotelsen_US
dc.subject (關鍵詞) Semi-Obnoxious Facilityen_US
dc.subject (關鍵詞) NIMBYen_US
dc.title (題名) 防疫旅館對鄰近房價的影響zh_TW
dc.title (題名) The Impacts of Quarantine Hotels on Housing Pricesen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 中文部分
王恭棋(2007). Box-Cox 轉換半對數特徵房價模型實證研究(碩士論文),國立中央大學大學。
張莉君(2016). 迎毗設施及鄰避設施對房屋價格影響之研究-以新北市板橋區及新莊區為例(碩士論文),國立中央大學。
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)。
李永展(1997). 鄰避症候群之解析,都市與計劃,24(1),69 - 79。
廖仲仁(1994). 機場噪音對住宅價格之影響-以臺北松山機場附近住宅為例(碩士論文),台灣大學。
楊宗憲與蘇倖慧(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)。
楊重信、王安民(2008). 基隆河流域洪災防治效益之評估:特徵價格法之應用,都市與計劃,35(1),29-47。
楊國柱、顏愛靜(2004). 殯葬設施設置鄰避衝突之分析:以交易成本理論為觀點,中國行政評論,14(1)。
陳冠儒(2021). 民眾對社會住宅弱勢保障比率態度之影響因素分析,住宅學報。
林忠樑與林佳慧(2014). 學校特徵與空間距離對周邊房價之影響分析-以台北市為例,台灣大學。
林楨家與張佑川(2006). 台北捷運地下街店舖租金分析-特徵價格法之應用,建築與規劃學報,30(1),1-26。
林郁欽、王秋原(2005). 從環境識覺觀點分析加油站設置的鄰避效果-台北都會區的個案研究,華岡地理學報,18,3-1-3-32。
52
林茂成(2001). 鄰避型設施區位選擇與處理模式之探討-以都會區捷運系統為例(上),現代營建,22(5),67-76。
李文傑、甯方璽、黃雅祺(2014). 集合式住宅房價泡沫形成之研究-以台中市為例,建築與規劃學報,15(2)(3),155-174。
李春長、童作君(2010). 住宅特徵價格模型之多層次分析,經濟論文叢刊,
38(2)。
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dc.identifier.doi (DOI) 10.6814/NCCU202200884en_US