One of the most important contributions of the study is the establishment of a database of nine objective indicators of the 500 sample cities, an action never before tried in the world. This data enabled us to conduct analysis and comparison through a number of different approaches, and to draw valuable findings. We conducted overall analysis of the nine indicators of the 500 sample cities through dynamic clustering methods and processes. Based on the dynamic clustering theory, we used the SPSS model to conduct clustering analysis for the nine explicit indicators of the 500 sample cities, and divided the samples into ten classes (see Table 8.1). Based on the above theory, we revised the results repeatedly with SPSS, and obtained ten final cluster centers for each of the 9 explicit indicators (Table 8.2). Then the cities were classified in accordance with the absolute difference between the values of the nine indicators and those of the ten clusters by the nine indicators. The narrower the gap, the more valid the classification. Table 8.3 is the classification of the 500 sample cities by the 10 clusters. Cities of cluster 1 usually have world-leading economy size, per capita GDP, productivity, GDP per square kilometer, patent applications and number of transnational companies, as well as a relatively high employment rate and economic growth. Cities of cluster 1 are New York and London. As global economic centers, they are getting stronger and stronger, and leading other cities by increasingly clear advantages. Cluster 2 cities have...
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