網路的興起開啟了數位化的時代的來臨，使得資訊傳遞更加快速，而世界各國的盜版軟體問題在這幾年也是愈趨嚴重，如何以總體的角度有效降低盜版率，已是全球重要的課題。
本研究參考過去學者對盜版率的研究，以國家層級(country level)的角度，來探討世界各國盜版率問題。所使用的資料為世界各國之以社經條件指標，包含：(1)經濟、(2)人口、(3)科技、(4)文化與教育，共29個變數，所含括的時間為2004年至2008年。為減少分析上之困難，先以主成分分析方法來歸併上述四類總體指標，再以複迴歸分析建立模式，據此探討影響國家盜版率之因素。此外，本研究還使用IMD(洛桑管理學院)之全球競爭力報告，延伸討論盜版率與國家競爭力之關係。
複迴歸模式之研究結果顯示出經濟、文化教育與科技對於盜版率有顯著的影響。因此改善經濟、教育與科技或創造文化可望大幅降低盜版率；不過，教育與科技可能比經濟對於盜版率有更大的影響，而人口對於盜版率的影響則不明顯。

Extensive use of Internet builds up the digital age which makes information transfers quicker. Problems of software piracy become more and more serious in these years. “How to lower the piracy rates effectively from the overall standpoints” becomes such an important problem around the world.
Based on the previous researches regarding the piracy rates, this study uses the standpoints of “country-level” to discuss the problems of piracy rates around the world. The socio-economic conditions are used as the research indicators, including: (1) economic, (2) demography, (3) technology, (4) culture and education. There are 29 variables in research indicators from the year of 2004 to 2008. In this study, we use principal component analysis (PCA) method to merge 29 variables into four indicators in order to reduce the difficulties of analysis. Then, we develop models from multiple regression analysis to discuss the factors of national piracy rates. In addition, we also use the IMD (Lausanne Institute of Management) data of the Global Competitiveness Report and extend discussion of piracy rates and relationships between national competitiveness.
The research results of multiple regression models reveal that economy, culture, education, and technology have significant influence on piracy rates. Improving economy, education and technology or creating culture would significantly lower the piracy rates. Nevertheless, education and technology have greater impact on piracy rates than the economy; On the other hand, the demography has no significant influence on piracy rates.

壹、 中文部分
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貳、 英文部分
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