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Investigation on law and economics of listed companies’ financing preference based on complex network theory

In this paper, complex network theory is used to make time-series analysis of key indicators of governance structure and financing data. We analyze scientific listed companies’ governance data from 2010 to 2014 and divide them into groups in accordance with the similarity they share. Then we select...

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Detalles Bibliográficos
Autores principales: Yang, Jian, Bai, Shuying, Qu, Zhao, Chang, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5354285/
https://www.ncbi.nlm.nih.gov/pubmed/28301510
http://dx.doi.org/10.1371/journal.pone.0173514
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author Yang, Jian
Bai, Shuying
Qu, Zhao
Chang, Hui
author_facet Yang, Jian
Bai, Shuying
Qu, Zhao
Chang, Hui
author_sort Yang, Jian
collection PubMed
description In this paper, complex network theory is used to make time-series analysis of key indicators of governance structure and financing data. We analyze scientific listed companies’ governance data from 2010 to 2014 and divide them into groups in accordance with the similarity they share. Then we select sample companies to analyze their financing data and explore the influence of governance structure on financing decision and the financing preference they display. This paper reviews relevant laws and regulations of financing from the perspective of law and economics, then proposes reasonable suggestions to consummate the law for the purpose of regulating listed companies’ financing. The research provides a reference for making qualitative analysis on companies’ financing.
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spelling pubmed-53542852017-04-06 Investigation on law and economics of listed companies’ financing preference based on complex network theory Yang, Jian Bai, Shuying Qu, Zhao Chang, Hui PLoS One Research Article In this paper, complex network theory is used to make time-series analysis of key indicators of governance structure and financing data. We analyze scientific listed companies’ governance data from 2010 to 2014 and divide them into groups in accordance with the similarity they share. Then we select sample companies to analyze their financing data and explore the influence of governance structure on financing decision and the financing preference they display. This paper reviews relevant laws and regulations of financing from the perspective of law and economics, then proposes reasonable suggestions to consummate the law for the purpose of regulating listed companies’ financing. The research provides a reference for making qualitative analysis on companies’ financing. Public Library of Science 2017-03-16 /pmc/articles/PMC5354285/ /pubmed/28301510 http://dx.doi.org/10.1371/journal.pone.0173514 Text en © 2017 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yang, Jian
Bai, Shuying
Qu, Zhao
Chang, Hui
Investigation on law and economics of listed companies’ financing preference based on complex network theory
title Investigation on law and economics of listed companies’ financing preference based on complex network theory
title_full Investigation on law and economics of listed companies’ financing preference based on complex network theory
title_fullStr Investigation on law and economics of listed companies’ financing preference based on complex network theory
title_full_unstemmed Investigation on law and economics of listed companies’ financing preference based on complex network theory
title_short Investigation on law and economics of listed companies’ financing preference based on complex network theory
title_sort investigation on law and economics of listed companies’ financing preference based on complex network theory
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5354285/
https://www.ncbi.nlm.nih.gov/pubmed/28301510
http://dx.doi.org/10.1371/journal.pone.0173514
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