Abstract
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.
Highlights
This paper mainly focuses on how industrial sectors compete for their production resources from mutual providers and how they collaborate to facilitate the production for mutual consumers
This paper aims to scale the degree of competition/collaboration on the global value chain from the perspective of econophysics
Input-Output (IO) data were adopted to establish industrial complex network models, in order to carry out detailed analyses on the Global Value Chain (GVC) from the perspective of econophysics
Summary
This paper mainly focuses on how industrial sectors compete for their production resources from mutual providers and how they collaborate to facilitate the production for mutual consumers. Input-Output (IO) data were adopted to establish industrial complex network models, in order to carry out detailed analyses on the Global Value Chain (GVC) from the perspective of econophysics. Followed is review of relevant literature of the research. The industrial complex network is a kind of social network, in which product sectors are intricately interrelated by the products and services they both provide and consume.
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