A social network analysis in dynamic evaluate critical industries based on input-output data of China

Can Wang and Huipeng Yang

PLOS ONE, 2022, vol. 17, issue 4, 1-19

Abstract: As the Chinese economy grows, the imbalance of industrial structure is prominent, and the optimization of industrial structure has become an urgent problem. Evaluation of industry is an important step in industry optimization. To this end, this study proposes an integrated evaluation method combining social network analysis (SNA) and the multi-criteria decision making (MCDM) method. Specifically, SNA method are used to calculate indicators, the measurement weights are calculated by the Entropy Weight (EW) Method, and the rank of each industry is determined by the TOPSIS method. Critical industries are identified based on China’s input-output data from 2002 to 2017. The results indicate that Manufacturing Industry and the Metal products have a high evaluation, but the Research and Development have a low evaluation value at all times. According to the results, we suggest that the government should optimize the allocation of resources and promote the transfer of resources to balance industrial development.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0266697

DOI: 10.1371/journal.pone.0266697

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