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研究生:四拉法
研究生(外文):Vladislav Pechnikov
論文名稱:二手車價探討:以台灣拍賣網站為例
論文名稱(外文):Determinants of second-hand car price: Example of Taiwan car auctions
指導教授:孟祥民孟祥民引用關係
指導教授(外文):Shiang-Min Meng
口試委員:孟祥民
口試委員(外文):Shiang-Min Meng
口試日期:2015-06-17
學位類別:碩士
校院名稱:開南大學
系所名稱:物流與航運管理學系
學門:運輸服務學門
學類:運輸管理學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:英文
論文頁數:35
中文關鍵詞:二手車價對數線性模式最小平方法P值
外文關鍵詞:Second-hand car pricelog-linear modelordinary least squaresp-value
相關次數:
  • 被引用被引用:2
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二手車的價格,取決於很多因素,如年份、車身鈑金、內裝、行駛里程、車型、汽車製造商和其他條件,本研究利用台灣二手車拍賣市場資料來探討二手車價格的決定因素,本研究聚焦於國產二手車,其最終拍賣價格不超過一百萬新台幣,本研究不含卡車、進口車和豪華車,研究數據來自2014年台灣二手車拍賣網站。
本研究以線性模式與最小平方法來評估這些數據。研究結果顯示,所有選擇變數之p-value介於1%的信賴區間(p值<0.01),證明所選擇之變數(引擎狀況、使用年份、行駛里程、車身鈑金、內裝車型、與豐田汽車製造商變數)與二手車價具有顯著相關。但交易日在星期五與引擎數2千CC以上之變數之p-value為0.1217,不具有車輛的價格顯著相關性。

Price of the second-hand car depends on many factors, such as age, conditions of body and interior, mileage, type, manufacturer and many others. This research examines determinants of second-hand vehicle price using the example of Taiwan auctions. The research focuses on used passenger cars which were produced in Taiwan and whose final price does not exceed one million New Taiwan Dollars. Trucks, imported cars and luxury vehicles were excluded from the research. The study uses data from used cars auction website which included observations of successful transactions in 2014. The log-linear multiple regression model is applied to evaluate this data. According to the results, polynomial log-linear multiple regression model is more suitable for this research and produces better results. As the result shows, all chosen variables are statistically significant at 1% confidence interval (p-value<0.01) and all coefficient signs are as expected. Only one variable LOG(MILEAGE) is not statistically significant.
Chapter Page

I. INTRODUCTION 1

Basic understanding of second-hand car auctions 2

Taiwan second-hand cars market and used vehicles auctions 4

II. LITERATURE REVIEW 5

III. METHODOLOGY 8

Variables 8

Descriptive statistics 12

Methodology 13

IV. RESULTS 15

V. CONCLUSION 20

REFERENCES 22

APPENDICES 234


Table Page

Table 1. Descriptive statistics of the key variables 12

Table 2. Regression results of the model 1 15

Table 3. Regression results of the model 2 16

Table 4. Combined result of two models 19




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