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Investigation on Law and Economics Based on Complex Network and Time Series Analysis
The research focuses on the cooperative relationship and the strategy tendency among three mutually interactive parties in financing: small enterprises, commercial banks and micro-credit companies. Complex network theory and time series analysis were applied to figure out the quantitative evidence....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467841/ https://www.ncbi.nlm.nih.gov/pubmed/26076460 http://dx.doi.org/10.1371/journal.pone.0127001 |
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author | Yang, Jian Qu, Zhao Chang, Hui |
author_facet | Yang, Jian Qu, Zhao Chang, Hui |
author_sort | Yang, Jian |
collection | PubMed |
description | The research focuses on the cooperative relationship and the strategy tendency among three mutually interactive parties in financing: small enterprises, commercial banks and micro-credit companies. Complex network theory and time series analysis were applied to figure out the quantitative evidence. Moreover, this paper built up a fundamental model describing the particular interaction among them through evolutionary game. Combining the results of data analysis and current situation, it is justifiable to put forward reasonable legislative recommendations for regulations on lending activities among small enterprises, commercial banks and micro-credit companies. The approach in this research provides a framework for constructing mathematical models and applying econometrics and evolutionary game in the issue of corporation financing. |
format | Online Article Text |
id | pubmed-4467841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44678412015-06-25 Investigation on Law and Economics Based on Complex Network and Time Series Analysis Yang, Jian Qu, Zhao Chang, Hui PLoS One Research Article The research focuses on the cooperative relationship and the strategy tendency among three mutually interactive parties in financing: small enterprises, commercial banks and micro-credit companies. Complex network theory and time series analysis were applied to figure out the quantitative evidence. Moreover, this paper built up a fundamental model describing the particular interaction among them through evolutionary game. Combining the results of data analysis and current situation, it is justifiable to put forward reasonable legislative recommendations for regulations on lending activities among small enterprises, commercial banks and micro-credit companies. The approach in this research provides a framework for constructing mathematical models and applying econometrics and evolutionary game in the issue of corporation financing. Public Library of Science 2015-06-15 /pmc/articles/PMC4467841/ /pubmed/26076460 http://dx.doi.org/10.1371/journal.pone.0127001 Text en © 2015 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yang, Jian Qu, Zhao Chang, Hui Investigation on Law and Economics Based on Complex Network and Time Series Analysis |
title | Investigation on Law and Economics Based on Complex Network and Time Series Analysis |
title_full | Investigation on Law and Economics Based on Complex Network and Time Series Analysis |
title_fullStr | Investigation on Law and Economics Based on Complex Network and Time Series Analysis |
title_full_unstemmed | Investigation on Law and Economics Based on Complex Network and Time Series Analysis |
title_short | Investigation on Law and Economics Based on Complex Network and Time Series Analysis |
title_sort | investigation on law and economics based on complex network and time series analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467841/ https://www.ncbi.nlm.nih.gov/pubmed/26076460 http://dx.doi.org/10.1371/journal.pone.0127001 |
work_keys_str_mv | AT yangjian investigationonlawandeconomicsbasedoncomplexnetworkandtimeseriesanalysis AT quzhao investigationonlawandeconomicsbasedoncomplexnetworkandtimeseriesanalysis AT changhui investigationonlawandeconomicsbasedoncomplexnetworkandtimeseriesanalysis |