Analysis on regional industries based on input output table and SNA: A case of seven provinces in Eastern China

SUN Lu; XUE Bing; GENG Yong; ZHANG Li-Ming

doi:10.3969/j.issn.1000-5641.2015.01.027

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Mar. 2015

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SUN Lu, XUE Bing, GENG Yong, ZHANG Li-Ming. Analysis on regional industries based on input output table and SNA: A case of seven provinces in Eastern China[J]. Journal of East China Normal University (Natural Sciences), 2015, (1): 224-233. doi: 10.3969/j.issn.1000-5641.2015.01.027

Citation:

SUN Lu, XUE Bing, GENG Yong, ZHANG Li-Ming. Analysis on regional industries based on input output table and SNA: A case of seven provinces in Eastern China[J]. Journal of East China Normal University (Natural Sciences), 2015, (1): 224-233. doi: 10.3969/j.issn.1000-5641.2015.01.027

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Analysis on regional industries based on input output table and SNA: A case of seven provinces in Eastern China

doi: 10.3969/j.issn.1000-5641.2015.01.027

SUN Lu¹,
XUE Bing^{1
,
,},
GENG Yong^1,2,
ZHANG Li-Ming¹

1.
The Institute of Applied Ecology, Chinese Academy of Sciences/ Key Laboratory of Pollution Ecology and Environmental Engineering, Shenyang 110016, China;
2.
School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Received Date: 2014-01-01
Publish Date: 2015-01-25

Abstract

Abstract

Industrial relationship is the basis of investigating the industrial agglomeration, understanding the industrial structure and clarifying the industrial associations. By employing the methodology of Social Networking Analysis (SNA) based on the 2002 and 2007 InputOutput Table, this paper aims to carry out the quantitative study on the industrial relationship, measure the economic ties degree and identify the various functions of different industries. By taking the seven provincial regions located in Eastern China as cases, 42 industrial sectors are studied by calculating the cluster degree, nodes centrality, nodes intermediary, and closedegree to the center. The results show that, Shanghai has the highest industrial coupling degree while Anhui province is the lowest; the industries have different levels, and about 8 clusters have been formed, such a close industrial economic relationship means that the tendency of economic integration. The results of this study could provide quantitative analysis of industrial relationship and restructuring the industries.
- input output table,
- social networking analysis,
- industrial structure

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References(1)

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