The Circulation and Sharing of High-Tech Talents and the Transnational Social Spaces Study Based on Stata Software
- 10.2991/978-94-6463-034-3_58How to use a DOI?
- Regression analysis; Brain Drain; Brain Circulation; high-tech talents; migration; sharing
Stata is considered as an integrated and complete statistical software which offers its users to analyzing data, managing data and drawing professional diagrams. With the advent of information society, the advances and changes in science and technology are leading to growing requirements for innovation, and as a result, talents especially the high-tech talents have increasingly been contended by many countries. Nowadays, the flow of global high-tech talents has been changing from previous “Brain Drain”, which represents a unidirectional and linear model from underdeveloped countries to developed countries or regions, to “Brain Circulation”, a pattern owning bidirectional or multidirectional features. This paper will mainly use Stata software to conduct regression analysis with the aim of testing the correlation between brain drain and economic growth. In order to ensure the variable data utilized are relatively accurate, this paper has conducted stability test, multicollinearity test and correlation test. The findings are a growth in 1% in brain drain will result in 1.2% decrease in GDP per capita. It means the influence of Brain Drain is real and countries must pay adequate attention to. Combined the model of transnational social space, this paper theoretically expands the study on the influencing factors of Brain Circulation. It supplies a new perspective of migration system of talents and riches the study results of benefits-sharing mechanisms of global high-tech talents.
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Cite this article
TY - CONF AU - Xiao Yan PY - 2022 DA - 2022/12/23 TI - The Circulation and Sharing of High-Tech Talents and the Transnational Social Spaces Study Based on Stata Software BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 568 EP - 580 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_58 DO - 10.2991/978-94-6463-034-3_58 ID - Yan2022 ER -