Measurement and statistical analysis of financing efficiency of listing companies —taking Shandong province as a case

DOI

10.2991/febm-17.2017.137How to use a DOI?

Keywords

financing efficiency; principal component analysis; entropy method

Abstract

The thesis adopts the principal component analysis and entropy method to set up a model for calculating and carrying out a statistical analysis of the financing efficiency of listing companies within the jurisdiction of Shangdong Province. First, the thesis sets up a financing efficiency evaluation indicator system according to financing theories. Next, it adopts the principal component analysis to abstract five principal factors influencing the financing efficiency. Later, the thesis adopts the entropy method to analyze the total score of each sample. Later, it draws the conclusion that the listing companies within the jurisdiction of Shandong Province universally have a low financing efficiency. Lastly, the thesis analyzes the reason for drawing the conclusion and proposes relevant countermeasures.

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/).

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TY  - CONF
AU  - Guizhen Meng
PY  - 2017/10
DA  - 2017/10
TI  - Measurement and statistical analysis of financing efficiency of listing companies —taking Shandong province as a case
BT  - Proceedings of the Second International Conference On Economic and Business Management (FEBM 2017)
PB  - Atlantis Press
SP  - 1024
EP  - 1035
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-17.2017.137
DO  - 10.2991/febm-17.2017.137
ID  - Meng2017/10
ER  -