At the end of Chapter 1, we concluded that measuring index system and explanatory index system of GUCI are both composed of a number of indicators. Therefore, it is difficult to test the correctness of the index systems and to analyze factors affecting global urban competitiveness of specific cities and their significance in affecting the results. In this study, GUCI is integrated by a number of non-linear weighed indicators, including GDP, economic growth rate, GDP per capita, GDP per square kilometer, productivity, employment rate, price advantage indicator, patent applications and the presence of transnational companies. Specifically, the GUCI system consists of seven level-I indicators, including enterprise, human resource, industry structure, soft environment, hard environment and global connectivity (as well as 40 level-II and 105 level-III indicators). To test the rationality of the GUCI indicators, linear and non-linear F-tests and t-tests of the 152 indicators of level-I/II/III were conducted using the GUCI. Both tests got consistent results. Here we would focus on the linear test only. As the comprehensive competitiveness of each city is obtained through the combination of a number of indicators and there might be possible error in the process, linear and non-linear F-tests and t-tests of the 152 indicators of level-I/II/III were conducted again, using the nine GUCI component indicators. If any one of the 152 explanatory indicators passes the correlation test of all nine measuring indicators, that indicator is relevant to the comprehensive competitiveness of the city. The results show that, by competitiveness as a dependent variable,...
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