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Study Of The Export Trade Of Chinese Wooden Furniture To America On Gray Correlation And BP Neural Network

Posted on:2018-07-06Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ZhangFull Text:PDF
GTID:2348330566955531Subject:International Trade
Abstract/Summary:PDF Full Text Request
In recent years,China’s rapid economic development,China’s exports to the United States exports of wooden furniture ushered in new opportunities.China’s exports of wooden furniture to the United States has made great progress in recent years,since China’s accession to WTO in2001 after the bilateral trade volume increased year by year trend.However,China’s furniture manufacturers to produce furniture in terms of quality or design can not meet the needs of consumers,the United States exports of wooden furniture often encounter anti-dumping case litigation,forcing Chinese exporters at a disadvantage.Wooden furniture is based on logs,lumber and other wood as raw materials,so the production of wooden furniture is entirely dependent on wood,timber reserves and quality is directly related to the quality of wooden furniture products.China is a country with low forest resources,and forest ownership is only61.3% of the world’s forest.Since the implementation of natural forest protection project,China’s domestic forest harvest area reduced,in order to alleviate the domestic demand for wooden furniture and domestic supply of resources to high prices of wood imports to become an important means to solve this problem.At the same time,the reduction of demographic dividend,the increase of labor cost and the decline of environmental carrying capacity are all more difficult problems for China to export wooden furniture to the United States.On a basis of existing research results and theoretical foundations,in this thesis,we will try to explore the future trading prospects of exporting wooden furniture to America,taking the trade volume of exporting wooden furniture to America as systematic characteristic variable.Besides,we will make qualitative analysis of principal influence factors of this trading with the method of grey relational analysis,and calculate the incidence of various influence factors,so as to explore principal influence factors and action mechanism of Sino-American wooden furniture export trading.Afterwards,we will forecast Sino-American wooden furniture export trading volume by application of BP neural network model,and then put forward feasible opinions and suggestions upon the trading development prospect,in order to promote a benign development for Sino-American wooden furniture trading.
Keywords/Search Tags:wooden furniture, export trade, gray correlation, BP Neural Network
PDF Full Text Request
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