Research on the influencing factors of financing efficiency of big data industry based on panel data model--Empirical evidence from Guizhou province

2017 International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Li, Chenggang^1,2 ; Feng, Yujia^1

Faculty of Finance, Guizhou University of Finance and Economics, Guiyang, China^1

Faculty of Science, National University of Singapore, Singapore, Singapore^2

关键词: Economic environment;    Guizhou Province;    Industry based;    Operating Income;    Panel data analysis;    Panel data models;    Positive impacts;    Turnover rate;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/322/5/052061/pdf
DOI  :  10.1088/1757-899X/322/5/052061

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

This paper mainly studies the influence factors of financing efficiency of Guizhou big data industry, and selects the financial and macro data of 20 Guizhou big data enterprises from 2010 to 2016. Using the DEA model to obtain the financing efficiency of Guizhou big data enterprises. A panel data model is constructed to select the six macro and micro influencing factors for panel data analysis. The results show that the external economic environment, the turnover rate of the total assets of the enterprises, the increase of operating income, the increase of the revenue per share of each share of the business income have positive impact on the financing efficiency of of the big data industry in Guizhou. The key to improve the financing efficiency of Guizhou big data enterprises is to improve.