我國輸美紡織品服裝技術(shù)貿(mào)易壁壘預(yù)警系統(tǒng)研究
[Abstract]:Textile and garment industry has been developed for thousands of years in our country. It has a long history, strong production capacity and obvious comparative advantage. It has always occupied a large proportion in the trade between China and the United States. However, in recent years, with the weakening of tariff barriers in China's textile and clothing exports to the United States, the situation of technical barriers to trade, which mainly includes technical regulations, technical standards, conformity assessment procedures, health and quarantine measures and so on, has become more and more serious. The textile and clothing industry is in the forefront among the industries which are greatly affected by the technical trade measures of the United States. Therefore, it is of realistic economic and social significance to deeply understand the technical barriers to trade of the United States in the field of textiles and clothing, to establish a corresponding early warning system, to avoid and reduce losses, and to have practical economic and social significance. This paper introduces the development of China's textile and clothing industry and the status quo of its export to the United States, analyzes the establishment of technical barriers to trade in the United States, the main export target of China, and the root causes of the establishment, and on the basis of drawing lessons from domestic and foreign research results on early warning theory, The BP artificial neural network model is applied to set up the early warning system of China's textile and clothing technical barriers to import into the United States by selecting the appropriate index of economic trade and technology gap. Through calculation and verification, it is proved that the system has good prediction effect and good reliability. At the end of the paper, the conclusion is given, and the countermeasures and suggestions based on the early warning model are put forward.
【學(xué)位授予單位】:南京理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:F426.86;F752.7
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