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THE NETWORK-BASED IDENTIFICATION OF KEY SECTORS IN INDUSTRIAL STRUCTURES
被引:0
|作者:
Zhao, Shangmei
[1
]
Hu, Fei
[1
]
Xuan, Yucai
[1
]
机构:
[1] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
关键词:
Network analysis;
Input-output tables;
eigenvector centrality;
industrial structure;
CENTRALITY;
D O I:
暂无
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
The identification of key sectors plays a crucial role in stabilizing the economy, especially during economic recession. This paper proposes a network-based model to measure the importance of sectors. The advantage of this approach is that, both the network effect formed by the process of intermediate consumption between sectors, and individually idiosyncratic effect resulted from final output of each sector, can be taken into account. Further, we analyze the importance of industrial network itself to the whole economic system, and make it a bridge to couple network effect and idiosyncratic effect. We illustrate our methodology through two case studies: the industrial structures of China and U.S., which lead to some interesting insights.
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页码:302 / 306
页数:5
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