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Journal of Systems Science and Complexity

, Volume 31, Issue 6, pp 1554–1570 | Cite as

A Method to Visualize the Skeleton Industrial Structure with Input-Output Analysis and Its Application in China, Japan and USA

  • Xiuli Liu
Article
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Abstract

The paper established a double filtering method (DFM) to visualize the skeleton industrial structure (SIS) of one economy and find its evolution rule. Different with the previous researches, this method is from a new view of industrial conjunctions combined by leading sectors to depict the industrial structure. It was proved that the leading sector selected by DFM must be key sector selected by Hirschman-Rasmussen method. Applied DFM to input-output tables of China, Japan and USA and MFA to Japan and USA, the results analysis showed that DFM could overtake the two main shortcomings of minimum flow analysis (MFA), scratch SIS of each economy with its own characteristics, visualize the general evolution rules of the industrial structure with crisscrossed conjunctions among leading sectors.

Keywords

Double filtering method economic growth evolution rule input-output analysis skeleton industrial structure 

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Notes

Acknowledgements

The author is extremely grateful to the editor and anonymous reviewers for their insightful comments and suggestions. The author also thank Professor Xikang Chen at Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Professor Geoffrey Hewings at University of Illinois at Urbana-Champaign and Professor Erik Dietzenbacher at University of Groningen for their helpful comments and suggestions on the paper.

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Copyright information

© Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijingChina
  2. 2.Center for Forecasting ScienceChinese Academy of SciencesBeijingChina
  3. 3.University of Chinese Academy of SciencesBeijingChina

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