摘要
规模以上工业企业科技活动是提升整个科技产业发展水平的重要组成部分。为了更加准确地测度规模以上工业企业科技活动对经济增长的支撑作用,本文使用数据分析的方法对该问题进行了量化研究与实证分析。首先,基于变量聚类分析建立了相应的指标体系,并在此基础上使用偏最小二乘回归模型刻画了规模以上工业企业科技活动与经济增长的关系;其次,对计算结果进行误差分析,验证了结果的有效性和精确性;最后,基于结果分析给出了相应的结论与建议。
The scientific and technological activities of Industrial Enterprises above the scale constitute are an important part of the development level of the whole scientific and technological industry.In order to more accurately measure the supporting role of scientific and technological activities of industrial enterprises above scale on economic growth,quantitative research and empirical analysis are carried out on this issue by using data analysis method in this paper.Firstly,the index system is established based on variable clustering analysis,and on this basis,the relationship between scientific and technological activities and economic growth of industrial enterprises above scale is depicted by using partial least squares regression model.Secondly,the error analysis of the calculation results verifies the validity and accuracy of the results.Finally,the corresponding conclusions and suggestions are given based on the result analysis.
作者
李建辉
LI Jianhui(School of Science,Xijing University,Xi'an 710123)
出处
《科技促进发展》
CSCD
2019年第12期1337-1343,共7页
Science & Technology for Development
基金
陕西省教育厅专项科研计划项目(19JK0907):分数布朗运动与Poisson过程下的随机分析及其在金融中的应用,负责人:李建辉
关键词
科技活动
聚类分析
偏最小二乘
规划问题
scientific and technological activities
cluster analysis
partial least squares
planning issues