Next Article in Journal
Energy Storage Capacity Planning Method for Improving Offshore Wind Power Consumption
Previous Article in Journal
The Effect of Environmental Consciousness on Environmental Management
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sustainability
Volume 14
Issue 21
10.3390/su142114588
sustainability-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

by
Yanling Jin
1,
Yi Xu
2,
Rui Li
3,
Changping Zhao
1 and
Zhenghui Yuan
4,*
1
Economics and Management, Yan’an University, Yan’an 716000, China
2
Department of School of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, China
3
School of Economics and Management, Wuhan University, Wuhan 430072, China
4
Research Center for Belt & Road Financial and Economic Development Center, Xiamen National Accounting Institute, Xiamen 361013, China
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(21), 14588; https://doi.org/10.3390/su142114588
Submission received: 19 September 2022 / Revised: 27 October 2022 / Accepted: 2 November 2022 / Published: 6 November 2022
Browse Figures
Versions Notes

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 industry sector status; input–output tables; social network analysis method; entropy weight method

Share and Cite

MDPI and ACS Style

Jin, Y.; Xu, Y.; Li, R.; Zhao, C.; Yuan, Z. Comprehensive Evaluation of China’s Input–Output Sector Status Based on the Entropy Weight-Social Network Analysis Method. Sustainability 2022, 14, 14588. https://doi.org/10.3390/su142114588

AMA Style

Jin Y, Xu Y, Li R, Zhao C, Yuan Z. Comprehensive Evaluation of China’s Input–Output Sector Status Based on the Entropy Weight-Social Network Analysis Method. Sustainability. 2022; 14(21):14588. https://doi.org/10.3390/su142114588

Chicago/Turabian Style

Jin, Yanling, Yi Xu, Rui Li, Changping Zhao, and Zhenghui Yuan. 2022. "Comprehensive Evaluation of China’s Input–Output Sector Status Based on the Entropy Weight-Social Network Analysis Method" Sustainability 14, no. 21: 14588. https://doi.org/10.3390/su142114588

APA Style

Jin, Y., Xu, Y., Li, R., Zhao, C., & Yuan, Z. (2022). Comprehensive Evaluation of China’s Input–Output Sector Status Based on the Entropy Weight-Social Network Analysis Method. Sustainability, 14(21), 14588. https://doi.org/10.3390/su142114588

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop