检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王高峰 杨浩东 汪琛 Wang Gaofeng;Yang Haodong;Wang Chen(School of Humanities and Social Sciences,University of Science and Technology of China,Hefei 230026,China)
机构地区:[1]中国科学技术大学人文与社会科学学院,安徽合肥230026
出 处:《科技进步与对策》2022年第15期119-128,共10页Science & Technology Progress and Policy
摘 要:激发女性研发人员创造活力,对于中国创新经济发展具有重要意义。然而,科研领域性别结构失衡是长期以来科学共同体内外所面临的问题。基于2010-2019年中国内地30个省份面板数据,围绕企业、研发机构、高校等创新主体,在对创新全要素生产率指数(以下简称创新TFP)进行测度的基础上,运用核密度估计对三大创新主体的性别结构、创新TFP分布的演进进行描绘。其次,采用半参数核回归法探析科研人员性别结构与创新投入、产出和创新TFP间的关联。最后,选用Oaxaca分解法探究STEM研究生性别差异对R&D人员性别差异的解释程度。结果表明:相比研发机构和高校,企业研发人员性别失衡更为严重,相比人口大省、经济发展落后地区,发达地区对研发人员性别结构的“兜底作用”更显著;创新投入、产出与性别结构之间存在非对称关系,在研发人员女性占比越高的地区,区域全要素生产率指数越高;STEM领域研究生数量上的性别差异可以解释约6成的研发人员性别差异,且解释程度呈逐渐增提升势。In recent years,although domestic and foreign governments,academia and media have called for more support for female scientists in various ways,and policy formulation has also changed from"system neutrality"to"being inclined and mainstreamed"in order to bridge academic and educational gender gaps.However,problems such as the missing of top female researchers in the scientific research field and the gender gap in the number of labor force in professional fields are still prominent.There is a big differences between female researchers and men in terms of the number of papers,patent achievements and academic influence.The disadvantaged status tends to be further aggravated.Most of the existing research focuses on the causes of the gap,the impact of gender factors on enterprise-level innovation output and performance improvement.In fact,there is also an"influence paradox"between gender differences and organizational innovation performance in scientific research.Therefore,it is necessary to explore the relationship between the gender structure of R&D personnel and innovation.Secondly,according to the order of time evolution,the sources of difference can be divided into theeducation system and the external labor market.Meanwhile there is also a lack of investigation into the difference in the numbers of male and female R&D personnel in China,based on the dichotomy of time between education and work.This paper focuses on the innovation subjects such as enterprises,R&D institutions,and universities.Based on the panel data of 30 provinces in China from 2010 to 2019,it measures the innovation total factor productivity index(hereinafter referred to innovation TFP).The gender structure of major innovation entities and the evolution of innovation TFP distribution are described.Second,the semi-parametric kernel regression method is used to explore the relationship between the gender structure of scientific researchers and innovation input,output and innovation TFP.Finally,the Oaxaca decomposition method is used to explore the
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.222.94.214