The aim of this research is to develop a rapid, and fully informative model for the systematic analysis of changes to trading competitiveness. The model is based on trading value, and uses market share, growth rates, and so on, as indices, with the final results being provided through systematic calculations. The main characteristic of this model is the way in which it functions as a combined multiple-purpose analysis tool, and thus, its ability to offer a variety of results by comparing any single commodity, or all commodities, between the two markets. Comparison types include static analysis, growth rate analysis and comparative static analysis.
Using this model, we have now completed an . artificial intelligence database for the analysis of trading competitiveness, and have applied this database to a comparison of the competitiveness, between Taiwan and mainland China in the US market, in terms of commodities. The results suggest that, irrespective of which parameters are adopted, Taiwan clearly has lower trading competitiveness than that of mainland China.
