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作者:

Xing, Lizhi (Xing, Lizhi.) (学者:邢李志) | Guan, Jun (Guan, Jun.) | Dong, Xianlei (Dong, Xianlei.) | Wu, Shan (Wu, Shan.)

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摘要:

A new analytical framework of relatively competitive advantages of economies is established in this paper, which involves distinguishing functions of industrial sectors on the global value chain with bipartite graph theory and extracting inter-sector competitive relations through resource allocation process. Furthermore, it introduces network-based quantitative indices to measure the competitive advantage on the level of industrial sector and country respectively, taking scarcity of industrial resources into consideration. Finally, it carries out scenario simulation to analyze impacts on 13 TPP-related countries' competitiveness under four kinds of scenarios. Results show that a TPP without both the United States and China will undermine the two countries' competitiveness, and China's impact on GVC will be truly weaken if a TPP agreement led by the United States is reached and vice versa. Anyway, A TPP including both these two countries would serve the mutual interests. (C) 2018 Elsevier B.V. All rights reserved.

关键词:

Bipartite graph Competitive advantage Global value chain Inter-country input-output table Resource allocation process The Trans-Pacific Partnership agreement

作者机构:

  • [ 1 ] [Xing, Lizhi]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 2 ] [Guan, Jun]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 3 ] [Wu, Shan]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 4 ] [Dong, Xianlei]Shandong Normal Univ, Sch Management Sci & Engn, Jinan, Shandong, Peoples R China

通讯作者信息:

  • 邢李志

    [Xing, Lizhi]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China

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来源 :

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

ISSN: 0378-4371

年份: 2018

卷: 502

页码: 164-184

3 . 3 0 0

JCR@2022

ESI学科: PHYSICS;

ESI高被引阀值:76

被引次数:

WoS核心集被引频次: 5

SCOPUS被引频次: 8

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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