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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/32022

    Title: 從貿易型態分析產業內貿易之決定因素
    Other Titles: The determinant of intra-industry trade from the analysis of trade pattern.
    Authors: 宋惠娟;Sung, Hui-chuan
    Contributors: 淡江大學國際貿易學系國際企業學碩士班
    蔡政言;Tsai, Jeng-yan
    Date: 2005
    Issue Date: 2010-01-11 01:33:05 (UTC+8)
    Abstract: 本文主要是探討台灣和貿易國的產業內貿易現象,採用混合資料的最小平方法為實證方法,並分為基本模型及區域虛擬變數模型,以探討不同貿易型態的產業內貿易決定因子,並觀察區域對各產業的產業內貿易之影響。



    This thesis mainly investigates phenomenon of intra-industry trade between Taiwan and its trade partners. The thesis adopts pooling least squares method as empirical method, including a basic model and a regional dummy variable model, to investigate key factors of intra-industry trade from different trade pattern, and to observe regional influence on intra-industry trade of every different industry.

    We find that, according to basic model, difference in national income and difference in per capita national income present negative correlations to intra-industry trade of consuming-goods industries, average national income and average per capita national income present positive correlations to intra-industry trade of nonconsuming-goods industries, and foreign direct investment presents positive correlations to intra-industry trade of consuming-goods and value-added manufactuing industries. However, Exchange rate change rate presents negative correlations to intra-industry trade of consuming-goods, and non-consuming-goods industries; distance presents negative correlations to intra-industry trade of most industries. Finally, all prove that different variables have different influences on every industry.

    According to regional dummy variable model, every variable does not roughly change across industries. However, regional variables of America, Europe and Australia present negative correlations to intra-industry trade most nonconsuming-goods industries, and regional variables of Europe presents negative correlation to intra-industry trade of all consuming-goods industries. We also prove that different regional factors impact every industry and that Asia is higher than any other area.

    Although our empirical result shows progressive knowledge of the key factors of all industries, the empirical result seems not reflect what the theory is expected to. It relies on the further studies to find supplementary evidence and a formal proof. Finally, based on our finding, further research regarding to trade policy is worthy of exploring.
    Appears in Collections:[國際企業學系暨研究所] 學位論文

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