摘要
科技产出作为体现科技实力的主要指标,其发展水平对我国科技水平的提高尤为重要。因此,为了较为有效地评价我国科技产出水平,本文采用因子分析来对我国科技产出发展水平进行评价,但考虑到传统因子分析的不稳健性,本文通过Fast-Mcd算法来改进传统因子分析从而构建稳健因子分析,并通过比较传统和稳健因子分析的结果发现,稳健因子分析的结果更为贴近实际,最后利用2012～2016年稳健因子综合得分来进行空间相关性检验发现,我国各省份之间的科技产出水平在空间上存在着集聚现象。
Scientific and technological output is the main index to reflect scientific and technological strength and its development is ifof importance to the improvement of technology.To evaluate the scientific and technological output effectively,this paper uses factor analysis to evaluate the science and technology output development level.But Considering that the traditional factor analysis is not robust,this paper utilizesthe Fast-Mcd algorithm to construct a method ofrobust factor analysis,with the aim toimprove the traditional factor analysis.Compared with the traditional analysis,the robust factor analysis is more close to reality.Finally,this paper makes use of the robust factor score from 2012 to 2016 to perform spatial correlation test and finds that there exists a phenomenon of agglomeration of scientific and technological output level between provinces.
作者
李雄英
孔荫莹
梁伟琪
LI Xiongying;KONG Yinying;LIANG Weiqi(School of Statistics and Mathematics,Guangzhou 510320,China;School of Accounting Guangdong University of Finance and Economics,Guangzhou 510320,China)
出处
《南昌大学学报（理科版）》
CAS
北大核心
2018年第5期490-494,共5页
Journal of Nanchang University(Natural Science)
基金
广东省自然科学基金资助项目(2018A030313954)
广东省普通高校基础研究重大基金资助项目(2017KZDXM038)
广州市社会科学界联合会2018年度"羊城青年学人"基金资助项目(18QNXR35)
广东财经大学粤港澳大湾区资本市场与审计治理研究院基金资助项目(2018A08)
关键词
科研产出水平
稳健因子分析
Greary’s
C检验
集聚
scientific and technological output level
robust factor analysis
Greary's C test
agglomeration
