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    Title: 廣告行銷文字對不動產價格之影響
    The Advertisement Effect of Marketing Text on Real Estate Price
    Authors: 吳欣怡
    Wu, Xin-Yi
    Contributors: 陳奉瑤
    梁仁旭

    Chen, Feng-Yao
    Liang, Jen-Hsu

    吳欣怡
    Wu, Xin-Yi
    Keywords: 廣告行銷文字
    中文斷詞
    特徵價格理論
    分量迴歸模型
    Advertising Marketing Text
    Chinese Text Segmentation
    Hedonic Price Theory
    Quantile Regression Model
    Date: 2020
    Issue Date: 2020-08-03 18:09:14 (UTC+8)
    Abstract: 廣告有助於資訊的傳遞並改變人們對產品的認知、態度,進而影響其購買行為;而在眾多研究方法中,特徵價格法專以研究不動產各特質與其價格間關聯為核心概念,故而常作為建立不動產價格模型之理論基礎,不過觀察過往不動產價格研究使用之變數以數值型態居多。那麼,同樣來自不動產特徵之房屋仲介公司網站的廣告行銷文字,是否亦為影響不動產價格之重要變數?
    本研究整理過往文字分析之研究方法,利用斷詞系統將房屋仲介公司網站上的行銷文字轉換成有效變數,藉由特徵價格模型進行價格影響之分析,實證結果顯示,行銷文字確實會對不動產價格產生影響,增減幅度2.3%~4.9%不等,且多為正向影響,而每種行銷文字各自有其影響範圍及強度;另外,同一個特徵於不同分區或建物類型等之關係亦不盡相同,為了探討行銷文字對價格之影響差異,將使用交乘項之方式納入實證,結果顯示住宅區相較於商業區更容易受到行銷文字影響,而對建物類型之影響差異則取決於行銷文字是否為該建物類型之建築特色或者為不同價格水準之不動產所著重的需求。
    Advertisement aims at spreading product information and changing people`s perceptions toward products, which in turn affects their purchasing behavior. In many research methods, the Hedonic Price Method is designed to study the relationship between property features and its price, which is often used as the theoretical basis for the establishment of real estate price model. It is observed that the model variables used in the past are mostly numerical. The product descriptions on housing agency websites can be regarded as one of the property features. Are these descriptions used as important variables in the real estate price model?
    This study analyzes how marketing texts (product descriptions) of advertisement affect the real estate price by cutting them with the Chinese text segmentation system. These marketing texts are converted into effective variables in the real estate price model. The empirical results show that different marketing texts have various affecting scopes and intensity on real estate price, ranging approximately from 2.3% to 4.9%, and most of them are positive effects. In addition, by using cross multiplication and quantile regression, the study also finds that residential zone are more sensitive to marketing texts compared to commercial zone. The effect of marketing texts also vary with building types caused by different building characteristic and demand in different price standard.
    Reference: 一、中文文獻
    1.毛麗琴,2009,「影響房價變動因素之探討一以高雄市區為例」,『商業現代化學刊』,5(2):141-156。

    2.中華民國土地估價學會,2018,『107年建置電腦大量估價模型案期末報告書(中區)』,內政部專題研究成果報告,未出版。

    3.吳森田,1994,「所得、貨幣與房價-近二十年台北地區的觀察」,『住宅學報』,2:49-65。

    4.呂哲遠、江穎慧與張金鶚,2019,「土壤液化潛勢區公布對房價之影響」,『都市與計畫』,46(1):33-59。

    5.李尚華,2015,「不動產廣告策略與預售屋價格關係之研究」,國立政治大學地政學系碩士在職專班論文。

    6.李泓見、張金鶚與花敬群,2006,「台北都會區不同住宅類型價差之研究」,『台灣土地研究』,9(1):63-87。

    7.李春長、游淑滿與張維倫,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):67-87。

    8.杜宇璇、宋豐荃、曾禹瑄、葛仲寧與陳奉瑤,2013,「台灣特徵價格模型之回顧分析」,『土地問題研究季刊』,12(2):44-57。

    9.林子欽、林子雅,2008,「公部門不動產估價成效評估-公平性之觀點」,『住宅學報』,17(2):63-80。

    10.林子欽、許明芳,2004,「個別土地開發前的產權調整─市地重劃區個案觀察」,『台灣土地研究』,6(2):1-16。

    11.林秋瑾,1996,「穩健性住宅租金模式之探討—異常點之分析」,『住宅學報』,4:51-72。

    12.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。

    13.林祖嘉與馬毓駿,2007,「特徵方程式大量估價法在臺灣不動產市場之應用」,『住宅學報』,16(2):1-22。

    14.柳武妹, 馬增光與葉富榮,2020,「營銷領域中包裝元素對消費者的影響及其內在作用機制」,『心理科學進展』,28(6):1015-1028。

    15.張晏瑞,2017,「臺北市明星國中學區房價分析—兼論十二年國教之影響」,國立政治大學地政研究所碩士論文。

    16.梁仁旭、陳奉瑤,2018,『不動產估價』,臺北市:財團法人中國地政研究所。

    17.陳俊傑,2017,「以時間序列社群文字分析建構災情通報預警之研究:以積淹水災情為例」,國立成功大學工業與資訊管理學系碩士在職專班學位論文。

    18.彭建文、張金鶚,2000,「總體經濟對房地產景氣影響之研究」,『國家科學委員會研究彙刊:人文及社會科學』,10:330-343。

    19.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。

    20.葉鴻青、戴天時,2016,「網路財務新聞的文字分析於風險預警應用之實證研究」,國立交通大學管理學院財務金融學程論文。

    21.廖銘祥,2016,「住宅屬性與房價關係之研究-以台中市北屯區為例」,逢甲大學都市計畫與空間資訊學系學位論文。

    22.蔡仲苓,2008,「臺北市內湖區住宅屬性價格之探討」,臺灣大學建築與城鄉研究所學位論文。

    23.蔡怡純、陳明吉,2004,「台北地區住宅市場結構性轉變與價格均衡調整」,『都市與計畫』,31:365-390。 

    二、英文文獻
    1.Alonso, W., 1964, Location and Land Use, Cambridge, MA: Harvard University Press.

    2.Aune, M., 2012, “Making Energy Visible in Domestic Property Markets: The Influence of Advertisements”, Building Research and Information, 40(6): 1-11.

    3.Collins, D., Kearns, R., 2008, “Uninterrupted Views: Real-Estate Advertising and Changing Perspectives on Coastal Property in New Zealand”, Environment and Planning A, 40: 2914-2932.

    4.Eyles, J., 1987, “Housing Advertisements as Signs: Locality Creation and Meaning-Systems”, Geografiska Annaler: Series B, Human Geography, 69(2):93-105.

    5.Follain, J. R., Malpezzi, S., 1980, Dissecting Housing Value and Rent, Washington, D.C.: The Urban Institute.

    6.Halseth, G., Hall, C. M. and Müller, D., K., 2004, “The `Cottage` Privilege: Increasingly Elite Landscapes of Second Homes in Canada”, Tourism, Mobility and Second Homes: Between Elite Landscape and Common Ground, 35-54.

    7.Hulten, C. R. and Wykoff, F. C., 1981, “The Estimation of Economic Depreciation Using Vintage Asset Prices: An Application of the Box-Cox Power Transformation”, Journal of Econometrics, 15(3): 367-396.

    8.Lawson, G., 2013, “A Rhetorical Study of In-Flight Real Estate Advertisements as a Potential Site of Ethical Transformation in Chinese Cities”, Cities, 31: 85-95.

    9.Levitt, S. D. and C. Syverson, 2005, “Market Distortions when Agents are Better Informed: The Value of Information in Real Estate Transactions”, The Review of Economics and Statistics, 90 (4): 599-611.

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    11.Malpezzi, S., L. Ozanne, L., and Thibodeau, T. G., 1987, “Microeconomic Estimates of Housing Depreciation”, Land Economics, 63 (4): 372-385.

    12.Nowak, A., Smith, P., 2017, “Textual Analysis in Real Estate,” Journal of Applied Econometrics, 32 (4): 896-918.

    13.Pryce, G., Oates, S., 2008, “Rhetoric in the Language of Real Estate Marketing”, Housing Studies, 23 (2): 319-348.

    14.Rosen, S., 1974, “ Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition ”, The Journal of Political Economy, 82(1): 34-55.

    15.Shen, L., 2018, “Information Value of Property Description: A Machine Learning Approach”, Clemson University.

    16.Sirmans, G. S., Macpherson, D. A. and Zietz E. N., 2005, “The Composition of Hedonic Pricing Models”, Journal of Real Estate Literature, 13(1): 3-44.

    17.Söderberg, B., 2002, “A Note on the Hedonic Model Specification for Income Properties”, Real Estate Valuation Theory, 157-180.

    18.Stephanie, V. E., M. Yoko, and S. L. Anne. 2005, “A Hedonic Price Comparison of Manufactured and Site-Built Homes in the Non-MSA United States”, Journal of Real Estate Research, 27(1): 83-104.

    19.Taddy, M., 2010, ”Multinomial Inverse Regression for Text Analysis”, The University of Chicago Booth School of Business.
    Description: 碩士
    國立政治大學
    地政學系
    107257020
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0107257020
    Data Type: thesis
    DOI: 10.6814/NCCU202000849
    Appears in Collections:[Department of Land Economics] Theses

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