PMID- 35390100
OWN - NLM
STAT- MEDLINE
DCOM- 20220414
LR  - 20220621
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 17
IP  - 4
DP  - 2022
TI  - A social network analysis in dynamic evaluate critical industries based on 
      input-output data of China.
PG  - e0266697
LID - 10.1371/journal.pone.0266697 [doi]
LID - e0266697
AB  - 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.
FAU - Wang, Can
AU  - Wang C
AUID- ORCID: 0000-0001-8493-9258
AD  - School of Business Administration, Zhongnan University of Economics and Law, 
      Wuhan, China.
FAU - Yang, Huipeng
AU  - Yang H
AUID- ORCID: 0000-0003-1141-309X
AD  - School of Business Administration, Zhongnan University of Economics and Law, 
      Wuhan, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220407
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - China
MH  - Entropy
MH  - *Industry
MH  - Manufacturing Industry
MH  - *Social Network Analysis
PMC - PMC8989312
COIS- The authors have declared that no competing interests exist.
EDAT- 2022/04/08 06:00
MHDA- 2022/04/15 06:00
PMCR- 2022/04/07
CRDT- 2022/04/07 17:14
PHST- 2022/01/04 00:00 [received]
PHST- 2022/03/24 00:00 [accepted]
PHST- 2022/04/07 17:14 [entrez]
PHST- 2022/04/08 06:00 [pubmed]
PHST- 2022/04/15 06:00 [medline]
PHST- 2022/04/07 00:00 [pmc-release]
AID - PONE-D-22-00330 [pii]
AID - 10.1371/journal.pone.0266697 [doi]
PST - epublish
SO  - PLoS One. 2022 Apr 7;17(4):e0266697. doi: 10.1371/journal.pone.0266697. 
      eCollection 2022.