| The United States is a major textile trade country. In order to protect local textile industry, itestablishs trade barriers. Barriers lead to non-liberalized trade. The international trade barriersinclude non-tariff and tariff barriers. The health and quarantine measures (SPS), export subsidies,service barriers, barriers to investment, government procurement, trade restrictions, technicalbarriers to trade (labeling and certification requirements), import policies, intellectual propertyrights and other aspects of barriers and so on are non-tariff barriers.Trade barriers are diverse and each trade barrier involves with large amount of products.According to the data of Global trade friction research report released by the State Administrationof Quality Supervision in2012,23.9percent of China’s export enterprises are subjected to foreigntechnical trade measures. The amount of direct loss for export trade is$68.5billion. The amountof textile and shoes products accounts for6.1percent, exceed$6.24billion than2011. It accountsfor3.34%of the export trade,0.07percentage points higher than2011. Hence the data mining isused to quantify the textile-related barriers and relevant early warning indicators system isestablished.Tariff barriers to trade are more intuitive and easier to quantify. Non-tariff barriers to trade arerecessive, targeted and more difficult to quantify. The quantificated methods of non-tariff barriersto trade include the stock index method, the tariff equivalent method, gravity model method andtrade restrictions coefficient method. But the problem is the result is different when the hypothesisis different and value of indicators is difficult to collect.Data mining techniques is used to find the development law of things from a lot of data moreaccurately. Therefore, in order to excavate the relationship between non-tariff barriers to trade andrelated textiles, the locoyspider is used to collect the documents of national bureau of economicresearch and federal register from1994to2013. The indicators are extracted from the documentsof national bureau of economic research by text analysis software. The indicators include product,economy, polity, industry and rule indicators, then form the indicators library. Frequency analysisand association rules (one kind of data mining algorithm) is used to analyze the relationshipbetween product indicators (fiber, yarn and apparel) and non-tariff barriers to trade such as trade restrictions, recall measures and other kinds of special protection (illegal transshipment, customsdelay etc). It can be concluded that when growth rate of the major trade indicators of relatedcountry and product have increased, the non-tariff barriers to trade occurs. As for the upstreamproducts of upland cotton, HS code5208and5209,the trade indicator is the difference betweenthe growth rate of import and export trade. When it increases, the documents related to farmer’sincome and loan subsidy program, cotton research and promotion plan increase; as for staple fiber,the trade indicator is the growth rate of import trade. When it increases, the documents related toantidumping increase; as for japan, the trade indicator is the growth rate of import trade to USA,when it decreases, the documents increase; the non-tariff barriers to trade, related product andcountry is included in the index system. For example, the related product and country of technicalbarriers to trade is sweatshirt and China. It leads to the decrease of the growth rate of import trade.!... |
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