Research on Monitoring and Early-Warning of TBT Risk in Textile and Garment
|Course||Textile Material and Textiles Design|
|Keywords||Technical Barriers to Trade Data warehouse Data Mining Early warning mechanism|
China's accession to the WTO continues to accelerate the process of economic globalization and trade liberalization, technical barriers to trade has become one of the important factors affecting China's exports. In the 1970s, the technical barriers to trade accounted for only 20% of the non-tariff barriers to trade, to has risen to 45% in the 1990s and into the present century, has surged to 80%, under the influence of foreign technical barriers to trade, our products blocked enterprises is limited, particularly serious economic damage to the textile and apparel industry. Form the main reason is the information asymmetry of the technical barriers to trade, the establishment of technical barriers to trade early warning system to solve the problem of information asymmetry has important significance to avoid the risk of technical barriers to trade in the process of China's export trade. Timely collection through early warning systems, tracking foreign technical barriers to trade information about the importing country will be or are in the form of TBT do early monitoring, early detection, early warning, export enterprises to keep abreast of foreign TBT take measures as soon as possible to avoid or minimize the loss. In order to achieve early prediction, early detection, early warning, and must be fast, efficient information processing mechanisms as support. EU Rapex website product recall information example discussed automatic acquisition, automatic processing, data warehousing, data mining technology in the early warning system of technical barriers to trade of textile and apparel. Which automatic acquisition as a tool to train collector, respectively, from the site selected site collection, content acquisition, publishing settings, task scheduling five steps designed to guide the acquisition process, the acquisition of data dispersed in a web page and generate structured data. The purpose of the automatic data processing is the collected data obtained converted to can be used directly on a computer identification, the process of a simple text information or be able to represent the magnitude of the digital information. The introduction of data warehouse technology to solve the problem of data organization, the technical barriers to trade of textile and apparel to the historical data is integrated into a data warehouse. This article to take data-driven and demand-driven combination of design ideas to January recall a number of cases, month recall growth rate, monthly deviation from the growth rate as a measure of the fact that the recall time, recall sponsors of the recall of the target country and product recall attributes, technical project data warehouse dimensions to establish a technical textile and apparel trade barriers. The data mining technology is used to discover hidden in a large amount of data behind the law, based on the data warehouse, the paper uses data mining techniques in clustering algorithm, and correlation algorithm to identify the recall of the correlation between the warning degree and other dimensions, and to determine the warning signs time to determine the weight of each factor in the risk factor to build early warning model. Early warning model can clearly see the effect of the influencing factors of police intelligence, and to facilitate the government, industry associations, enterprises effectively monitoring risks, to identify problems and take remedial measures. The paper concludes with a summary of the results achieved in the thesis, and also pointed out that there is a problem, as well as follow-up work.