Comparative Study On The Regional Competitiveness Of Chinese Province Based On The Old And New Methods

In this paper, a total15years of GDP data of31provinces, municipalities, autonomousregions and the country was selected to be analyzed with the methods of data mining,for thepurpose of analyzing their regional competitiveness.At first,“GDP shares method” was used to analyze the regional competitiveness of this31provinces (municipalities) with the GDP data divided into3periods. This provinces wasdescendingly divided into4categories in accordance with the size of the competitiveness.Analysis indicates that Guangdong Province,Shandong Province, Jiangsu Province wasalways in the strong competitive1class; Hebei Province, Zhejiang Province, HenanProvince, Liaoning Province was always in the regional competitiveness middle-class.Otherprovinces of the third and fourth class was not particularly large changed inclassification.Secondly, from the point of the primitive method, the country’s GDP was regarded asprimitive to analyze the GDP data of31provinces which was divided into3periods with ourown “slope method”. The provinces was also divided into four categories as the size of thecompetition from largest to smallest. The analysis indicated that the results of GDP sharesmethod was basically same as the slope method. This also indicated that our slope methodwas feasible.Thirdly, the similarities and differences of the GDP share method and the fitting slopemethod was summarized: The same point of the two methods was the same data,the samestudy items, and the similar results; The biggest difference was the data considered by theslope method was more comprehensive,and the result more comprehensive. This as wellshowed that the slope method had more advantages.Finally, changes in the classification of the three periods of the31provinces was analyzed.The reasons and the advance was suggested for the improvement.