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The Characteristics Of Manufacturing Trade Network And The Promotion Of The Division Of Labor In The Global Value Chain

Posted on:2020-08-19Degree:MasterType:Thesis
Country:ChinaCandidate:P P LiuFull Text:PDF
GTID:2439330578483926Subject:International Trade
Abstract/Summary:PDF Full Text Request
With the acceleration of the tide of economic globalization,the foreign trade of the manufacturing industry has flourished,and the global manufacturing trade has gradually formed an intricate network.Each country has different characteristics in the global trade network which brings different comparative advantages to countries,and makes countries have different positions in the global value chain division of labor.Since joining the WTO,China's core position in the global manufacturing trade network has been continuously enhanced,trade intensity has increased,and trading partners have become increasingly diversified,but its position in the global value chain division is still low.Therefore,how to improve the global value chain division of labor by changing the characteristics of the trade network is a topic worthy of further study.From the perspective of “relationship”,social network analysis can more fully reflect the relative position and network characteristics of a country in the global trade network.Therefore,this paper will use the social network analysis method to start from the characteristics of the trade network and study how to improve the status of a country's global manufacturing value chain.Based on the existing literature,this paper firstly uses the bilateral trade data of manufacturing industry in 80 major countries(regions)from 2000 to 2015 in the CEPII-BACI database to construct the unweighted matrix and weighting matrix of the global manufacturing trade network.And this paper uses Ucinet software to measure the numerical values of various indicators of the manufacturing trade network.Through the portrayal of the characteristics of the global manufacturing trade network,we find that the network centrality and network connection intensity are left-biased,and the network heterogeneity is right-biased.Then,this paper draws on the research methods of some scholars and uses the export technology complexity index to measure the status of a country's global value chain.Through empirical research on the manufacturing industry and the different technical level manufacturing industries in the global sample,it is found that network centrality,network connection strength and network heterogeneity all have significant positive effects on improving the division of labor in the global value chain.And in the manufacturing industry of different technical levels,the characteristics of the trade network have a greater impact on the division of labor of the global value chain of high-tech manufacturing.After benchmarking model regression and industry-based regression estimation,considering the possible endogeneity of the model,this paper adds the lag term of network connection strength and carries out two-step GMM estimation.The results are basically consistent with the benchmark regression results.This paper also uses the panel quantile regression to carry out the robustness test,and further examines the changes in the impact strength of various indicators of the trade network characteristics in the process of the change of the global value chain's division of labor from low-end to high-end.Based on the research results above,this paper puts forward the following suggestions for the development of China's manufacturing industry: First,China should promote economic globalization and enhance the strength of network connection;Second,China should continue to expand opening up and give full play to the advantages of network centers;Third,China should strengthen the network heterogeneity and improve the ability of China's manufacturing industry to resist risks;Fourth,China should increase investment in science and technology and help China's manufacturing industry to climb to the mid-to-high end.
Keywords/Search Tags:Network Centrality, Network Connection Strength, Network Heterogeneity, Global Value Chain Division of Labor
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