Detecting the nation-based characteristics of industries in the global input-output network of networks. (1st November 2021)

• Record Type: Journal Article
• Authors: An, Feng; Wu, Sen; Gao, Xiangyun; Stanley, H. Eugene
• Is Part Of: Europhysics letters. Volume 136:Number 3(2021)
• Publication Date: 2021-11-01
• Subjects: Physics -- Periodicals; Electronic journals; 530.05
• DOI: 10.1209/0295-5075/ac34d5
• Languages: English
• ISSNs: 0295-5075

Abstract

Abstract: Under the influence of national policies, development plans, and subsidies, industries from the same nation perform similarly and inherit a part of their nations' characteristics. Unlike the one-layer input-output network that treats industries as isolated, our model treats industries from the same nation as a relative tight community. Thus, the characteristics of industries are inherited from their nation, which is defined as the nation-based characteristics. To accurately account for the nation-based contributions of each industry, we construct a global input-output NoN (network of networks) model. The global input-output NoN is transformed from the international input-output tables based on hypermatrices and the network of networks model. Based on the global input-output NoN, we propose six nation-based indexes to assess different aspects of industries' nation-based contributions. Our network model and nation-based indexes are applied on the international input-output tables from 2010 to 2015. We confirm the applicability of our model and discover several interesting findings. Overall, the most important one is that some nonmanufacturing industries ( e.g., health, education, and public administration) may be more critical than some significant manufacturing industries.