| Summary: | 碩士 === 國立交通大學 === 管理科學系所 === 93 === It’s common knowledge that high-tech industry plays a critical role to the development of global economy. In the national level, the patents statistics are key indicators to demonstrate the nation’s capability of development. To identify a nation’s global competitiveness, one approach is to find the relationship between patents statistics and multi-infrastructures such as basic infrastructure, technological infrastructure, science infrastructure, health and environment, and education.
This paper presents the insight gained from the use of factor analysis to identify the key components associated with national competitiveness. The six factors were common explanatory variables for both the general regression equation and the principal component analysis. In other hand, for our purposes, the most accurate position of a country can only be determined after the grouping of countries showing similarities to the evaluated country in terms of competitiveness. Based on similarity of characteristics, we now appropriately group/cluster the countries under study.
Since patents are so important to the development of high-tech industry, for Taiwan, how to improve our multi-infrastructures to increase our patents competitiveness is very important. In that way, we can make our country go into the highest competitive countries group. This thesis concludes with some important guidelines for policy formulation at the national level in both developed and developing countries as well as in multinational organizations.
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