Proceedings of the 2017 International Conference on Management, Education and Social Science (ICMESS 2017)

The Path of Optimization in Asset Structure-Empirical analysis on comprehensive-class listing companies based using panel data model

Authors
He Chen, Baifang Liu, Xinyu Liu
Corresponding Author
He Chen
Available Online June 2017.
DOI
10.2991/icmess-17.2017.97How to use a DOI?
Keywords
Path Dependence; Asset Structure Optimization; Panel Data; Empirical Analysis
Abstract

Based on the financial data selected from 77 companies during four quarters in 2009 in the comprehensive-class listing companies, two methods, including normal analysis and panel-data model analysis are used to analyze deeply the path of optimization in corporate asset structure. The empirical analysis comes to a memorable conclusion that path-dependence is the character of asset structure optimization. Enterprise asset structure is not only dynamic, but also depended on the balance of profitability and mobility made by managers of enterprise.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 International Conference on Management, Education and Social Science (ICMESS 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2017
ISBN
10.2991/icmess-17.2017.97
ISSN
2352-5398
DOI
10.2991/icmess-17.2017.97How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - He Chen
AU  - Baifang Liu
AU  - Xinyu Liu
PY  - 2017/06
DA  - 2017/06
TI  - The Path of Optimization in Asset Structure-Empirical analysis on comprehensive-class listing companies based using panel data model
BT  - Proceedings of the 2017 International Conference on Management, Education and Social Science (ICMESS 2017)
PB  - Atlantis Press
SP  - 415
EP  - 422
SN  - 2352-5398
UR  - https://doi.org/10.2991/icmess-17.2017.97
DO  - 10.2991/icmess-17.2017.97
ID  - Chen2017/06
ER  -