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

机译:基于面板数据模型 - 贵州省的大数据产业融资效率影响因素研究

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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.
机译:本文主要研究贵州大数据产业融资效率的影响因素,从2010年至2016年选择贵州大数据企业的金融和宏观数据。利用DEA模型获得贵州大数据企业的融资效率。构建面板数据模型以选择面板数据分析的六个宏和微量影响因素。结果表明,外部经济环境,企业总资产的营业额增加,营业收入的增加,每股股份收入的收入增加对融资效率产生积极影响贵州大数据产业。提高贵州大数据企业融资效率的关键是提高。

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