基于高纬稀疏数据分析的制造型企业研发投入影响因素分析

What Influences the R&D Intensity of Manufacturing Enterprises: the Research by Using Big Data

为探索一种对大量因素同时进行定量分析的方法,尝试采用对高纬稀疏数据进行分析,对沪深两市制造型企业进行分析,以研发投入强度达到3. 5%以上为分析目标,并得到达到这一分析目标的定量优化规则,当收入熵小于0. 579 4、销售毛利率适中(17. 5%~29. 54%)、董事职能背景差异小于0. 399 5、前10大股东持股比例适中(0. 168 9~0. 665 7),企业研发投入强度达到分析目标的比例会大幅提升。这一分析方法既可以用于国有高新技术企业经营层、董事会人员配置作为参考,又可作为对企业研发投入行为的预判。

In order to explore a method of quantitative analysis of a large number of factors at the same time,this paper tries to analyze the manufacturing enterprises in stock markets of Shanghai and Shenzhen by using the analysis method of big data. The analysis target is set as more than 3. 5% RD input intensity to get quantitative optimization rules.