Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Open Access

Correction

Correction: Complexity theory for the modern Chinese economy from an information entropy perspective: Modeling of economic efficiency and growth potential

  • Jun Yan,
  • Lianyong Feng,
  • Artem Denisov,
  • Alina Steblyanskaya,
  • Jan-Pieter Oosterom

There is an error in affiliation 4 for author Alina Steblyanskaya. The correct affiliation 4 is: Laboratory of Microanalysis and Modeling, Central Economics and Mathematics Institute, Russian Academy of Science, Moscow, Russia.

In Fig 3, the Chinese providence “Shaanxi” is misspelled. The providence “Shan’xi” should be “Shaanxi.” Please see the correct Fig 3 here.

thumbnail
Download:
Fig 3.

A) 2007 flows between China Provinces B) 2012 flows between China Provinces.

https://doi.org/10.1371/journal.pone.0230165.g001

Reference

  1. 1. Yan J, Feng L, Denisov A, Steblyanskaya A, Oosterom J-P (2020) Complexity theory for the modern Chinese economy from an information entropy perspective: Modeling of economic efficiency and growth potential. PLoS ONE 15(1): e0227206. https://doi.org/10.1371/journal.pone.0227206 pmid:31990933

Citation: Yan J, Feng L, Denisov A, Steblyanskaya A, Oosterom J-P (2020) Correction: Complexity theory for the modern Chinese economy from an information entropy perspective: Modeling of economic efficiency and growth potential. PLoS ONE 15(3): e0230165. https://doi.org/10.1371/journal.pone.0230165

Published: March 3, 2020

Copyright: © 2020 Yan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.