| As the north-eastern neighbor countries of China, Russia, Japan, South Korea areexperiencing differently in the import and export trades field with China. The economicbackgrounds, the different historical backgrounds, cultural backgrounds, make thetrades between China to these three countries experienced very different traces.This paper is a combination of qualitative and quantitative analysis. The mainconcept is to calculate and compare the China-Russia, China-Japan, and China-SouthKorea’s single industry intra trade indexes, general intra-industry trade indexes and therevised intra-industry trade indexes. Applied the methods of regressions andcomparisons on the revised intra-industry trade indexand other chosen macroeconomicfactors, to reflect the influence and significance. Finally, same analysis conclusions canbe contributed.Intra-industry trade is the trades between two nations within the same industry.Single intra-industry trade index can measure the intra-industry trade level of onesingle industry; General intra-industry trade can measure the intra-industry trade levelof two nations. However, intra-industry trade index can’t absolutely reflect the accurateintra-industry trade, only can reflect via the distance between import and export values.Calculated by the GL indexes’ general and revised formulate, the China-Russia,China-Japan, and China-South Korea’s general and revised industry intra trade indexesare influenced significantly by the economic circles and unbalance trade, particularly,the China-South Korea’s industry intra trade indexes. Therefore, the revised indexesare0.3263、0.6055、0.8116, which make rank the China-Russia, China-Japan, andChina-South Korea from the low to high.GDP growth rate, inflation rate, exchange rate, and the revised intra-industry tradeindexes can both be regarded to be the factors that influent the international trades.Therefore, after compare the correlations among these factors, we get the relationshipsof them. Firstly, the intra-industry trade index has negative relationship with the China’sexport. The Japan、Korea’s GDP growth can’t influent China’s export much, however, Russia’s can. The Russia、 Japan、 Korea’s inflations can strongly influentintra-industry trade indexes, however, don’t impact China’s export so much. Obviously,the motivations of China’s export can’t only be the economic factors, but also someother factors, like FDI-motivated, resource-motivated, culture-motivated internationaltrade need.The Export regression models can be got via the selections of GDP growth rate,inflation rate, exchange rate, and the revised intra-industry trade indexes as the factors.Combine with the analysis results of the correlation, we can get some conclusions. Wecan see, the China-Japan, and China-South Korea’s trades are very similar. Besides, theintra industry trades make the traded products to be similar, which makes the productsneeds declined. Once, these traded products become the same, the carriage cost willdecline the product needs, against the international trade. Government policy caninfluent China-Russia’s trades very strongly, however, the changing exchange ratedoesn’t.Japan and Korea’s markets are very similar, so positively expand the Russia’smarket can explore the investment risks, while enjoy the trade growth without thepressure of the increasing value of RMB. Besides, innovations and brands operationcan maintain the trade growth when the intra industry trades become strong. Lastly,China-Japan, and China-South Korea’s trades can be influent vary strongly by theexchange rate, so same international finance methods should be considered during thetrades.Quantitative analysis can directly show some economic problems and analysisideas. Recently, the researches on the trade model regressions are focus on the factorsselections. Therefore, the ideas to compare China-Russia, China-Japan, andChina-South Korea’s trades via the intra industry trades indexes are the new point ofthis paper. |
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