Comprehensive Evaluation of China’s Input–Output Sector Status Based on the Entropy Weight-Social Network Analysis Method

Yanling Jin, Yi Xu, Rui Li, Changping Zhao and Zhenghui Yuan ()
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Yanling Jin: Economics and Management, Yan’an University, Yan’an 716000, China
Yi Xu: Department of School of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, China
Rui Li: School of Economics and Management, Wuhan University, Wuhan 430072, China
Changping Zhao: Economics and Management, Yan’an University, Yan’an 716000, China
Zhenghui Yuan: Research Center for Belt & Road Financial and Economic Development Center, Xiamen National Accounting Institute, Xiamen 361013, China

Sustainability, 2022, vol. 14, issue 21, 1-25

Abstract: In order to understand the source of China’s global influence, the key sectors and important connections in China’s economic and trade networks should be identified. Based on China’s 2002–2018 input–output data, this study uses the entropy weight method to determine weights, and then combines the social network analysis method in order to construct a comprehensive index system for industry status evaluation. Research results indicate that the high-risk financial industry occupies the top position among all industries. Additionally, resource-consuming industries represented by the coal mining industry and highly polluting industries still occupy an important position in China’s economy. Machinery, electronics manufacturing, and other real industries show increasing value-added products, steadily improving technology intensity, and continue to climb the industrial value chain. The conclusions of this study provide a comprehensive and detailed industrial understanding of the formulation of comprehensive and systematic national economic strategies as well as targeted industrial policies to achieve sustainable development.

Keywords: industry sector status; input–output tables; social network analysis method; entropy weight method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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