受过教育的流动人口与研发支出对创新的影响

Elena-Alexandra Sinoi
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引用次数: 4

摘要

移民已经成为21世纪的一个重要话题,因为它对个人和社区都有多重好处和坏处,这取决于相关的政策。国际移徙不应被视为一个需要解决的问题,而应被视为一种全球现象,可以在原籍国和目的地国减少贫困,促进包容性增长和可持续发展。技术水平最高的移民是促进创新和技术变革进程的关键因素,而这是社会和经济发展的重要方面。本研究的目的是分析高学历移民(包括受过高等教育的移民雇员和外国博士生)以及研发投资对创新活动的影响(以专利申请数量为代表),以2004年加入欧盟的十个国家为例。评估的时间框架为2011年至2017年。对于面板数据的计量经济学分析,我们在国家层面上开发了固定效应线性回归模型。所计算的指标与创新活动有关。计量经济学估计强调,在所有十个国家中,受过教育的移民与专利申请数量之间存在正相关关系。当我们考虑到其他相关的影响因素,如研发投资和人力资本,这种联系甚至会得到加强。因此,对研发和高学历人员投入的努力和投资越多,创新的可预测性就越强。
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The impact of educated migrants and R&D expenditures on innovation
Abstract Migration has become a topic of great interest of the 21st century, as it triggers multiple advantages and downsides, both for the people and communities implicated, depending on the policies in place. International migration should not be perceived as an issue that needs to be solved, but rather a global phenomenon that can reduce poverty and foster inclusive growth and sustainable development, both in origin and destination countries. The most highly-skilled immigrants represent a key factor in enhancing innovation and technological change processes, which are essential aspects of social and economic development. The purpose of the study is to analyse the impact of highly educated immigrants (with tertiary-educated immigrant employees and foreign PhD students) together with R&D investments on innovative activity (proxied by the number of patents applications), in the case of the ten countries which joined the EU in 2004. The evaluated time frame is from 2011 to 2017. For the econometric analysis of the panel data, we developed fixed-effects linear regression models, at the country-level. The indicators computed are relevant to the innovative activity. The econometric estimations highlight a positive correlation between educated migrants and the number of patent applications in all ten countries. This nexus is even strengthened when we take into consideration other relevant impact factors, such as investments in R&D and human capital. Therefore, the more efforts and investments are devoted to R&D and highly educated individuals, the more predictable the innovation is.
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来源期刊
CiteScore
6.20
自引率
2.70%
发文量
25
审稿时长
10 weeks
期刊最新文献
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