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Research On The Network Structure And Influencing Factors Of Global Worn Clothing Trade Preference

Posted on:2024-09-05Degree:MasterType:Thesis
Country:ChinaCandidate:L TangFull Text:PDF
GTID:2569307088456654Subject:International Business
Abstract/Summary:PDF Full Text Request
With the decrease of global resources and the enhancement of environmental protection awareness,the recycling of waste materials has been paid more and more attention.The international trade of recyclable resources has been increasing,and its influence has gradually expanded.Due to the dual characteristics of resources and environment,the international trade of recyclable resources is different from that of general products,which is reflected in the flow direction of trade,mainly export from developed countries to developing countries.Taking worn clothing as an example,by observing the data of the structure of countries involved in the trade of worn clothing,it is found that developed countries are the main exporters of worn clothing,while developing countries are the main importers of worn clothing.To a certain extent,this indicates that there is a preference for location choice in worn clothing trade between countries.Therefore,by building a global preference network for worn clothing trade,this paper tries to explore the following questions: What are the structural characteristics of the preference network for worn clothing trade? What is the evolution trend? What factors influence the formation of network structure?On the basis of comprehensive analysis of relevant literatures,this paper collects global worn clothing trade data from CEPII and UN Comtrade database from 2002 to 2021 to construct a preference network of worn clothing trade among countries.This paper systematically analyzes the overall pattern and local characteristics of the worn clothing trade preference network among countries from the overall,community and individual levels of the network,and specifically analyzes the status and role of China in the network.Secondly,ERGM is used to simulate the evolution of global worn clothing trade network structure,and the factors affecting the evolution of worn clothing trade network structure are analyzed.Through the research,this paper draws the following conclusions: First,the development and evolution of the global worn clothing trade preference network takes 2018 as the watershed,showing different structural features.Before 2018,the worn clothing trade preference network has a higher degree of closeness,stronger trade accessibility and more obvious phenomenon of internal collectivization.After 2018,the scale of worn clothing trade preference network has also been reduced,and the closeness of network connection has also decreased.Second,USA and other countries are in the core position in the worn clothing trade network,playing the role of exporters,while the most important importers of worn clothing are some African countries.As one of the major exporters of worn clothing in the world,China has a large export volume,but it does not play a central role in the preference network of worn clothing trade.Third,countries with common trading partners are more likely to establish a preference relationship for worn clothing trade;Secondly,countries with similar population size are more likely to establish worn clothing trade relations,and the larger the population size,the more attractive other countries are to establish preference relations.It is more difficult for countries with similar economic development level to establish worn clothing trade preference relationship.Countries with high economic development level are more inclined to take the initiative to establish worn clothing trade relationship with other countries.Finally,countries with colonial relations,shared geographical boundaries and official languages,and signed regional trade agreements are more likely to establish preference relations for worn clothing trade,and colonial relations have the most obvious effect.Finally,the paper puts forward some policy suggestions.First,China should further enhance its influence in the worn clothing trade preference network,especially its position in the high-grade preference network.Second,we should give full play to the role of institutional agreement to create a good environment for the development of worn clothing trade.Third,we should rationally distribute the worn clothing export market in the global scope.
Keywords/Search Tags:Worn Clothing, Trade Preference Network, Exponential Random Graph Model, Complex Networks
PDF Full Text Request
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