ABSTRACT
Chinese high-tech industry in western regions is weaker than in the eastern regions and that the gap is gradually increasing. Wang (2007), Liang et al. (2007) and Sun et al. (2010) introduced empirical methods and came to a similar conclusion that the development in high-tech industry is very unbalanced among different regions. They also found that the size of the imbalance is increasing. Chen (2010) evaluated the competitiveness of Chinese high-tech industries based on data mining methods (specifically k-means clustering). Liu et al. (2013) combined the DEA-DA model and PLS structural model to make the empirical research on the spatial differences in Chinese construction industry competitiveness formation mechanism. Wu & Li (2008) introduced the technique called the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method and applied it to 31 Chinese provincial administrative regions and built up the concepts of core competitiveness within the industry. Later, Wang & Wang (2014) used the mahalanobis distance to improve (TOPSIS), and found that the improved TOPSIS method is consistent with practical situations.
