Xing Lizhi
School of Economics and Management, Beijing University of Technology, Beijing, China.
PLoS One. 2017 Sep 5;12(9):e0184055. doi: 10.1371/journal.pone.0184055. eCollection 2017.
The input-output table is comprehensive and detailed in describing the national economic system with complex economic relationships, which embodies information of supply and demand among industrial sectors. This paper aims to scale the degree of competition/collaboration on the global value chain from the perspective of econophysics. Global Industrial Strongest Relevant Network models were established by extracting the strongest and most immediate industrial relevance in the global economic system with inter-country input-output tables and then transformed into Global Industrial Resource Competition Network/Global Industrial Production Collaboration Network models embodying the competitive/collaborative relationships based on bibliographic coupling/co-citation approach. Three indicators well suited for these two kinds of weighted and non-directed networks with self-loops were introduced, including unit weight for competitive/collaborative power, disparity in the weight for competitive/collaborative amplitude and weighted clustering coefficient for competitive/collaborative intensity. Finally, these models and indicators were further applied to empirically analyze the function of sectors in the latest World Input-Output Database, to reveal inter-sector competitive/collaborative status during the economic globalization.
投入产出表在描述具有复杂经济关系的国民经济体系方面全面且详细,它体现了产业部门之间的供需信息。本文旨在从经济物理学的角度衡量全球价值链上的竞争/合作程度。通过利用国家间投入产出表提取全球经济体系中最强且最直接的产业关联,建立了全球产业最强关联网络模型,然后基于文献耦合/共被引方法将其转化为体现竞争/合作关系的全球产业资源竞争网络/全球产业生产合作网络模型。引入了三个非常适合这两种带有自环的加权无向网络的指标,包括竞争/合作能力的单位权重、竞争/合作幅度的权重差异以及竞争/合作强度的加权聚类系数。最后,将这些模型和指标进一步应用于对最新世界投入产出数据库中各部门的功能进行实证分析,以揭示经济全球化过程中部门间的竞争/合作状况。