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    Title: 電子商務對店面租金的影響—以台北市為例
    The Impact of E-Commerce on Store Rent in Taipei
    Authors: 林預
    Lin, Yu
    Contributors: 林左裕
    Lin, Tso-Yu
    林預
    Lin, Yu
    Keywords: 店面租金
    電子商務
    新冠肺炎
    ARDL
    Store Rent
    E-commerce
    COVID-19
    ARDL
    Date: 2022
    Issue Date: 2022-08-01 18:24:08 (UTC+8)
    Abstract: 於近年快速崛起的電子商務，乃一革命性的新型態購物模式，毋須親自採買便能取得商品的優勢也使電子商務成為少數倖免甚至受益於新冠肺炎疫情之佼佼者。然而，電子商務的成長是否會對實體店面租金造成影響，眾說紛紜。
    為辨認電子商務與店面租金之關聯性，本研究使用ARDL模型，對台北市的東區、西門與公館三處性質迥異的商圈店面租金進行量化分析，實證結果因商圈特性而各有差異：在電子商務方面，西門與公館商圈租金均受其負面影響，僅東區商圈未明顯受衝擊；於新冠肺炎疫情方面，東區商圈租金受其負向衝擊，公館商圈、西門商圈則未見源自疫情的顯著影響；在總體經濟方面，失業率與消費者信心指數可預測東區商圈店租，失業率亦可用以獲悉西門商圈店租走勢。有鑑於電子商務的成長乃是必然，對投資者、零售業者而言，辨認電子商務對店面租金的影響實屬必要，本研究之成果期能提供零售業者與投資人予以參考。
    The rapidly emerging E-commerce has been recognized as a revolutionary consumption pattern over the past few years. One of its major advantages is to relieve consumers from the need for physical presence to a brick-and-mortar store, making E-commerce able to survive or even thrive in the aftermath of COVID-19.
    However, there are still conflicting opinions about whether the significant expansion of E-commerce has brought impacts on store rent. Therefore, with the aim of exploring the relationship between these two variables, “Auto Regression Distributed Lag” (ARDL) is adopted to carry out a quantitative analysis of three shopping areas with varying store rent – Eastern district, Ximen and Gongguan. The results show that significant differences can in fact be observed among these selected areas due to their own features. Firstly, in terms of E-commerce, its development is negatively correlated to the store rent in Ximen and Gongguan, while no significant influence in Eastern district is found. Secondly, even though the pandemic has not yielded serious influences on the store rent in Ximen and Gongguan, it has tremendously impacted that in Eastern district. Lastly, viewing the economic development as a whole, the changes of store rent in Ximen can be predicted by the unemployment rate, and that in Eastern district can also be predicted by both the unemployment rate and consumer confidence index.
    Given that the growth of E-commerce is inevitable, it is of paramount importance for investors and retailers to recognize its impacts on store rent. Hence, the findings of this study can provide evidence-based references for practitioners in relevant fields.
    Reference: 一、 中文參考文獻
    （一）專書
    林左裕，2018，『不動產投資管理』第六版，台北：智勝文化事業有限公司。
    孫思源、黃照貴、方建生、楊清雲、邱碧珍，2016，『電子商務』第一版，台北：新月圖書股份有限公司。
    楊奕農，2017，『時間序列分析：經濟與財務上之應用』第三版，台北：雙葉書廊有限公司。
    劉文良，2012，『電子商務與網路行銷』第四版，台北：碁峰資訊股份有限公司。
    （二）期刊論文
    陳治綸，2019，「台灣落後指標構成項目修正與探討」，『經濟研究』，19（3）：176-199。
    黃名義，2008，「電子商務對辦公室租金、區位與空間需求影響之研究－以台北都會區為例」，『住宅學報』，17（1）：1-22。http://dx.doi.org/10.6375/JHS.200806.0001

    （三）會議論文
    林宗弘，2012，「新興市場對台灣失業與所得分配的衝擊」。論文發表於〈台灣國家經濟發展研討會〉，財團法人李登輝基金會：新北，民國101年6月3日。
     

    （四）博、碩士論文
    洪柏歆，2011，「網路購物對都市空間發展的影響初探」，國立成功大學都市計劃研究所碩士論文：台南。
    謝易展，2018，「台北捷運旅客人次與周邊店面租金的動態關聯研究」，國立交通大學經營管理研究所碩士論文：新竹。

    二、 英文參考文獻
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    De Kare-Silver, M., 2001, E-shock: the new rules: e-strategies for retailers and manufacturers, Basingstoke: Palgrave.
    Haynes, T., 1995, The Electronic Commerce Dictionary: The Definitive Terms for Doing Business on the Information Superhighway, California: Robleda Company.
    Kalakota, R., and Whinston, A.B., 1996, Frontiers of Electronic Commerce, Boston: Addison-Wesley.
    Thrall, G.I., 2002, Business geography and new real estate market analysis, New York: Oxford University Press.
     
    （二）期刊論文
    Akinsomi, O., Mkhabela, N., and Taderera, M., 2018, “The role of macro-economic indicators in explaining direct commercial real estate returns: evidence from South Africa”, Journal of Property Research, 35（1）: 28-52.
    Baen, J., 2000, “The Effects of Technology on Retail Sales, Commercial Property Values and Percentage Rents”, Journal of Real Estate Portfolio Management, 6（2）: 185-201.DOI: 10.1080/10835547.2000.12089607
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    Burt, S., and Sparks, L., 2003, “E-commerce and the retail process: a review”, Journal of Retailing and Consumer Services, 10(5): 275-286.
    Currah, A., 2002, “Behind the web store: the organisational and spatial evolution of multichannel retailing in Toronto”, Environment and Planning A, 34（8）: 1411-1441.
    D’Arcy, É., McGough, T., and Tsolacos, S., 1997, “An empirical investigation of retail rents in five European cities”, Journal of Property Valuation & Investment, 15（4）: 308-322.
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    Dixon, T., and Marston, A., 2002, “U.K. Retail Real Estate and the Effects of Online Shopping”, Journal of Urban Technology, 9（3）:19-47.
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    Granger, C.W.J., and Newbold, P., 1974, “Spurious regressions in econometrics”, Journal of Econometrics, 2（2）: 111-120.
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    Hartzell, D., Hekman, J.S., and Miles, M.E., 1987, “Real Estate Returns and Inflation”, AREUEA Journal, 15（1）: 617-637.
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    Ho, K. H. D., and Faishal bin Ibrahim, M., 2010, “Explaining the macro-economy and retail real estate sector dynamic interaction between prime and suburban retail real estate sectors”, Journal of Property Investment & Finance, 28（2）: 77-108.
    Hu., Y., and Tiwari, P., 2021, “Examining the Macroeconomic Determinants of Property Cycles in Australia”, International Real Estate Review, 24（2）: 293-322.
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    （三）博、碩士論文
    Karakozova, O., 2005, Modelling and forecasting property rents and returns, doctoral thesis, Swedish School of Economics and Business Administration, Helsinki.
    McGowan, J., 2019, How Has the Growth of E-commerce Sales Affected Retail Estate?, master`s thesis, Claremont Graduate University, State of California.

    三、 網頁參考文獻
    孫曉筠，2020，「由臺北捷運客運量解析商圈人流變化」，台北市政府捷運工程局統計專題分析。
    Description: 碩士
    國立政治大學
    地政學系
    109257021
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0109257021
    Data Type: thesis
    DOI: 10.6814/NCCU202201073
    Appears in Collections:[Department of Land Economics] Theses

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