摘要(英) |
This study explores factors that affect Taiwan’s domestic car sales from a macroeconomic point of view. After conducting correlation analysis between domestic car sales and each of the nine presumed macroeconomic variables, the study selected four variables that showed greater significant correlation – Taiwan’s industrial production, consumer price index (CPI), composite index of leading indicators, and gross domestic product (GDP). Following that, with the addition of a dummy variable – commodity tax reduction – the study employs these five explanatory variables for analysis using the method of least squares and fixed effects models.
Analysis results suggest that the method of least squares is not the suitable choice for this research. On the other hand, application of fixed effects models yielded more reliable estimation results compared to when applying the method of least squares. Aside from the dummy variable (commodity tax reduction), which had a significance level of 10%, the other four explanatory variables (industrial production, consumer price index, composite index of leading indicators, and gross domestic product) all had significance levels that fell between 1-5%. This suggests that commodity tax reduction bears no significant effect on the sales of domestic cars, prompting the study to urge decision-making authorities to carefully evaluate before carrying out policies. As for the other variables, industrial production has positive impact on Taiwan’s domestic car sales; the consumer price index has negative effect on Taiwan’s domestic car sales, contrary to the study’s anticipation; the composite index of leading indicators has negative effect on Taiwan’s domestic car sales, also contrary to anticipation; last nut not least, the gross domestic product has positive effect on Taiwan’s domestic car sales. |
參考文獻 |
中文部分
1.陳木在 (1972),「台灣地區汽車需求預測」,<<台灣銀行季刊>>,第23卷。
2.鍾福源(1983),「台灣地區小汽車市場需求分析」,<<台北市銀行月刊>>,第14卷。
3.康信鴻、陳水蓮 (1996),「中國大陸汽車市場之需求預測 迴歸分析之應用」,台大管理論叢,第7卷第1期,P31-48。
4.呂學慶(2002),「台灣地區汽車市場銷售預測之探討」,國立中央大學管理學院高階主管企管碩士班碩士論文。
5.黃俊穎(2008) ,「油價、汽車股價指數及總體經濟指標關聯性之研究」,屏東科技大學財務金融研究所碩士論文。
6.余金雄(2010) ,「汽車產業股價影響因素之探討-以和泰、裕隆、中華股價為例」,東海大學管理碩士在職專班研究所碩士論文。
7.吳佳龍(2012),「影響台灣地區汽車銷售量因素之探討」,東吳大學管理碩士在職專班(研究所)碩士論文。
8.洪煙平(2011),「台灣汽車銷售量與經濟因素關聯之研究」,萬能科技大學經營管理研究所在職專班碩士論文。
9.中華民國統計資訊網 http://www.stat.gov.tw/mp.asp?mp=4
10.台灣區車輛同業工會 http://www.stat.gov.tw/mp.asp?mp=4
11.張振邦(1999),台灣汽車工業發展的政治經濟分析:一個歷史結構的觀點,中山大學政治研究學系所碩士論文。
12.張家銘、吳政財(1997),奇蹟與幻象:台灣汽車產業的發展經驗,東吳社會學報,第 6 期,頁 1-8。
13.車訊網,http://www.carnews.com/detail/17189。
14.蔡美金(2001),「台灣汽車零組件業發展策略—國際技術引進與市場拓展」清華大學工業工程與工程管理研究所碩士論文。
15.劉盛男(1976),「台灣地區自用小轎車需求之研究」,台灣銀行季刊第27卷第2期。
16.曾連通(1987),「我國汽車製造產業成功關鍵因素與競爭能力之研究」,國立中興大學企業管理研究所。
17.柳育林(2011),燃油效率與汽車需求─以國產新車市場為例,國立中央大學產業經濟研究所碩士論文。
18.汪志忠(2007),「台灣地區汽車持有需求預測之研究」,國立成功大學交通管理科學系博士論文。
19.劉怡吟(2009),汽油價格對台灣汽車市場需求的影響,國立中央大學產業經濟研究所碩士論文。
20.李志順(2007),台灣汽車銷售量之非線性估計:馬可夫狀態轉換模型之應用,世新大學管理學院財務金融學系,碩士學位論文。
21.陳釧瑤(2007),台灣汽車市場產品特性需求分析─以國產自用小客車為例,國立中央大學產業經濟研究所碩士論文。
22.顏月珠,「商用統計學」,三民書局 民, 87 年,pp. 411-489,pp. 61-3-703。
英文部分
1.Still, Richard R., W.C. Edward and A.P.,1988.“Govoni Norman,” Sales Management, Prentice Hall .
2.Romilly, P ., Song, H. X. Liu.1998.“Modeling and forecasting car ownership in Britain.” Transport Economics and Policy, 32 ,165–185
3.Waters, C. D. J.,1998. A Practical Introduction to Management Science, Prentice Hall.
4.Ralph, G., 1999. “Urban mobility in the developing world.” Transportation Research Part A. 33,671-689,
5.Dargay, J. and D. Gately, 1999. “Income’s. effect on car vehicle ownership worldwide 1996-2015”, Transportation Research Part A: 101-138
6.Yang, J. B. and Yau N. J., 2000. "Integrating Case Based Reasoning and Expert System Techniques for Solving Experience Oriented Problems," Journal of Chinese Institute of Engineers, Vol. 23 , No.1 , pp. 83-95.
7.Dargay, J., 2001. "The Effect of Income on Car Ownership Evidence of Asymmetry. " Transportation Research Part: A, 35, 807-821
8.Abu-Eisheh, S.A. and F.L. Mannering, 2002.“Forecasting automobile demand for-Economies in transition: a dynamic simultaneous-equation system approach. Transportation Planning and Technology, 25(4), pp.311-331.
9.Ritzman, Larry P. and Krajewski Lee J., 2003. “Foundations of Operations Management,” Prentice-Hall: Pearson Education, Inc.
10.Schrieber, Jared, 2005. ”Demand Visibility Improves Demand Forecasts,” The Journal of Business Forecasting, Vol.24, No.3, pp.32. |