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題名 外送經濟對餐飲業經營模式之影響 - 以臺北市為例
The Impact of the Delivery Economy on the Business Model of the Catering Industry - A Case Study of Taipei City
作者 呂宜庭
Lu, Yi-Ting
貢獻者 林左裕
呂宜庭
Lu, Yi-Ting
關鍵詞 外送經濟
餐飲業區位
疫情
外生變數向量自我迴歸模型
Delivery Economy
Restaurant’s Location
COVID-19
VARX
日期 2022
上傳時間 2-Sep-2022 15:19:29 (UTC+8)
摘要 科技及網際網路的進步改善了生活品質。過去對餐飲業而言，經營成功與否與區位選擇息息相關，好的位置可以增加能見度吸引消費者。然近年外送平台興起和疫情衝擊帶動著外送經濟的成長，讓大眾的消費模式逐漸產生改變。餐飲業者是否會改變經營模式選擇增加外送訂單而變相減少成本選擇遷往巷弄內或離主要街道較遠處設店，是否區位已不再是餐飲業之優先考量，是否區位之重要性逐漸下降。
本研究以臺北市餐飲業店面探討外送經濟與疫情爆發對餐飲業者區位選擇之變化，利用地理資訊系統(GIS)顯示餐飲業店面之空間分布有逐年擴散之現象；蒐集2014年至2021年區位及其他影響變數使用外生變數向量自我迴歸模型(VARX)發現以下兩個結果：餐飲業區位選擇與外送經濟規模呈中高度關聯亦與禁止餐飲業內用之防疫政策呈高度關係、餐飲業區位選擇與外送經濟規模存在雙向因果關係；最後衝擊反應函數反映出後兩個月至三個月短期之區位選擇趨勢與衝擊方向。本研究應證外送經濟發展及疫情均會影響餐飲業者區位之選擇，精華區位之必要性下降，亦對區位理論之延伸提供一些新發現。
Advances in technology have improved our life. In the past, for the catering industry, business success was closely related to location. However, the development of delivery platforms, spurred by the COVID-19 pandemic, has changed consumer behavior. Will the restaurant choose to focus more on delivery orders and move to alleys or locations with less traffic? Is location no longer a priority? Is location still important?
This study explores the effects of the delivery economy and COVID-19 on the location decisions of restaurants in Taipei City in Taiwan. First, we use Geographic Information System (GIS) to indicate that the spatial distribution of restaurants is spreading year by year. Then we collected the location and other macro-economic variables from 2014 to 2021 and applied a model with vector auto-regression with exogenous variables (VARX) for empirical analysis. We found two vital results in our research: 1. location selection is strongly correlated with the delivery economy and COVID-19 policy, and 2. there is a two-way causality between location selection and the delivery economy. Above all, the development of delivery economy and the COVID-19 pandemic has affected the choice of a restaurant’s location, and the importance of location has decreased. It also provides some new findings for the extension of location theory.
參考文獻 一、中文參考文獻
(一)專書
楊奕農，2009，『時間序列分析 經濟與財務上之應用』第二版，臺北:雙葉書廊有限公司。
陳旭昇，2013，『時間序列分析 總體經濟與財務金融之應用』第二版，臺北:臺灣東華書局股份有限公司。
余桂霖，2013，『時間序列分析』初版，臺北:五南圖書出版股份有限公司。
(二)期刊論文
石昌國、張金鶚、彭建文，2002，「網路購物取貨服務對便利商店店面需求之潛在影響一以統一超商為例」，臺大管理論叢，13(1)，67-95。
陳淑美、彭建文，2003，「網路購物與實體商店購物之競爭分析：以年輕學生的選擇偏好為例」，建築與規劃學報，4(1)，1-22。
(三)博、碩士論文
陳惠屏，2015，「以整合性科技接受模型探討線上訂餐外送系統的成功因素」，國立中興大學科技管理研究所碩士論文。
陳家彬，2019，「外送平台顧客滿意物之影響因素與顧客使用頻率之關係」，國立中興大學企業管理學系碩士論文。
謝易展，2018，「臺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。

二、英文參考文獻
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Melaniphy, J.C., 1992, “Restaurant and Fast Food Site Selection”, Wiley.
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Jung, S. and Jang, S.C, 2019, “To Cluster or not to Cluster? Understanding Geographic Clustering by Restaurant Segment”, International Journal of Hospitality Management, 77:448-457.
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(三)博、碩士論文
Collison, J., 2020, “The Impact of Online Food Delivery Services on Restaurant Sales”, Department of Economics, Stanford University.
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描述 碩士
國立政治大學
地政學系
109257001
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0109257001
資料類型 thesis
dc.contributor.advisor 林左裕zh_TW
dc.contributor.author (Authors) 呂宜庭zh_TW
dc.contributor.author (Authors) Lu, Yi-Tingen_US
dc.creator (作者) 呂宜庭zh_TW
dc.creator (作者) Lu, Yi-Tingen_US
dc.date (日期) 2022en_US
dc.date.accessioned 2-Sep-2022 15:19:29 (UTC+8)-
dc.date.available 2-Sep-2022 15:19:29 (UTC+8)-
dc.date.issued (上傳時間) 2-Sep-2022 15:19:29 (UTC+8)-
dc.identifier (Other Identifiers) G0109257001en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/141708-
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zh_TW
dc.description (描述) 109257001zh_TW
dc.description.abstract (摘要) 科技及網際網路的進步改善了生活品質。過去對餐飲業而言，經營成功與否與區位選擇息息相關，好的位置可以增加能見度吸引消費者。然近年外送平台興起和疫情衝擊帶動著外送經濟的成長，讓大眾的消費模式逐漸產生改變。餐飲業者是否會改變經營模式選擇增加外送訂單而變相減少成本選擇遷往巷弄內或離主要街道較遠處設店，是否區位已不再是餐飲業之優先考量，是否區位之重要性逐漸下降。
本研究以臺北市餐飲業店面探討外送經濟與疫情爆發對餐飲業者區位選擇之變化，利用地理資訊系統(GIS)顯示餐飲業店面之空間分布有逐年擴散之現象；蒐集2014年至2021年區位及其他影響變數使用外生變數向量自我迴歸模型(VARX)發現以下兩個結果：餐飲業區位選擇與外送經濟規模呈中高度關聯亦與禁止餐飲業內用之防疫政策呈高度關係、餐飲業區位選擇與外送經濟規模存在雙向因果關係；最後衝擊反應函數反映出後兩個月至三個月短期之區位選擇趨勢與衝擊方向。本研究應證外送經濟發展及疫情均會影響餐飲業者區位之選擇，精華區位之必要性下降，亦對區位理論之延伸提供一些新發現。		zh_TW
dc.description.abstract (摘要) Advances in technology have improved our life. In the past, for the catering industry, business success was closely related to location. However, the development of delivery platforms, spurred by the COVID-19 pandemic, has changed consumer behavior. Will the restaurant choose to focus more on delivery orders and move to alleys or locations with less traffic? Is location no longer a priority? Is location still important?
This study explores the effects of the delivery economy and COVID-19 on the location decisions of restaurants in Taipei City in Taiwan. First, we use Geographic Information System (GIS) to indicate that the spatial distribution of restaurants is spreading year by year. Then we collected the location and other macro-economic variables from 2014 to 2021 and applied a model with vector auto-regression with exogenous variables (VARX) for empirical analysis. We found two vital results in our research: 1. location selection is strongly correlated with the delivery economy and COVID-19 policy, and 2. there is a two-way causality between location selection and the delivery economy. Above all, the development of delivery economy and the COVID-19 pandemic has affected the choice of a restaurant’s location, and the importance of location has decreased. It also provides some new findings for the extension of location theory.		en_US
dc.description.tableofcontents 第一章 緒論 1
第一節 研究動機與目的 1
第二節 研究範圍與方法 5
第三節 研究架構與流程 7
第二章 文獻回顧 9
第一節 線上美食外送服務之發展歷程 9
第二節 美食外送經濟與餐飲市場之關係 13
第三節 影響餐飲業區位選擇之因素 16
第四節 小結 19
第三章 研究設計與資料處理 21
第一節 研究設計 21
第二節 實證模型建立 23
第三節 資料說明與變數選取 29
第四章 實證結果分析 37
第一節 餐飲業經營範圍空間分布 37
第二節 變數檢定 41
第三節 外生變數向量自我迴歸模型分析 46
第四節 Granger因果關係檢定 51
第五節 衝擊反應函數 53
第五章 結論與建議 57
第一節 結論 57
第二節 後續研究建議 60
參考文獻 61		zh_TW
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dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0109257001en_US
dc.subject (關鍵詞) 外送經濟zh_TW
dc.subject (關鍵詞) 餐飲業區位zh_TW
dc.subject (關鍵詞) 疫情zh_TW
dc.subject (關鍵詞) 外生變數向量自我迴歸模型zh_TW
dc.subject (關鍵詞) Delivery Economyen_US
dc.subject (關鍵詞) Restaurant’s Locationen_US
dc.subject (關鍵詞) COVID-19en_US
dc.subject (關鍵詞) VARXen_US
dc.title (題名) 外送經濟對餐飲業經營模式之影響 - 以臺北市為例zh_TW
dc.title (題名) The Impact of the Delivery Economy on the Business Model of the Catering Industry - A Case Study of Taipei Cityen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 一、中文參考文獻
(一)專書
楊奕農，2009，『時間序列分析 經濟與財務上之應用』第二版，臺北:雙葉書廊有限公司。
陳旭昇，2013，『時間序列分析 總體經濟與財務金融之應用』第二版，臺北:臺灣東華書局股份有限公司。
余桂霖，2013，『時間序列分析』初版，臺北:五南圖書出版股份有限公司。
(二)期刊論文
石昌國、張金鶚、彭建文，2002，「網路購物取貨服務對便利商店店面需求之潛在影響一以統一超商為例」，臺大管理論叢，13(1)，67-95。
陳淑美、彭建文，2003，「網路購物與實體商店購物之競爭分析：以年輕學生的選擇偏好為例」，建築與規劃學報，4(1)，1-22。
(三)博、碩士論文
陳惠屏，2015，「以整合性科技接受模型探討線上訂餐外送系統的成功因素」，國立中興大學科技管理研究所碩士論文。
陳家彬，2019，「外送平台顧客滿意物之影響因素與顧客使用頻率之關係」，國立中興大學企業管理學系碩士論文。
謝易展，2018，「臺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。

二、英文參考文獻
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(三)博、碩士論文
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(四)網路報導資料
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dc.identifier.doi (DOI) 10.6814/NCCU202201155en_US