Current Trend and Determinants of Intentions to Migrate: Evidence From China. (March 2021)
- Record Type:
- Journal Article
- Title:
- Current Trend and Determinants of Intentions to Migrate: Evidence From China. (March 2021)
- Main Title:
- Current Trend and Determinants of Intentions to Migrate: Evidence From China
- Authors:
- Iqbal, Kashif
Wang, Yichu
Khurshaid, Khurshaid
Haroon Shah, Muhammad
Sohaib, Muhammad - Abstract:
- The increasing pace of globalization and competition for highly skilled professionals have accelerated the international mobility across national boundaries for knowledge exchange and economic reasons. The purpose of this study was to examine the current trend and determinants of migration intentions in China. For this purpose, we carried out a survey in China from 2021 respondents by using a probability sampling technique. For empirical estimation, we employed the logistic regression estimation technique to compute and evaluate the data. In the findings of this study, several push-and-pull factors have been identified for both inflow and outflow of skilled human capital in China. The findings of this study derived that high wages outside China and low wages within China are considered as the top reasons to leave China. In addition, more opportunities and a better lifestyle in the host countries are the key factors to push skilled human capital from China. The results also indicate that better education in the host countries has a positive correlation with migration intentions in China. Therefore, it can be argued that education, wages, more opportunities and better lifestyle are the significant push factors that determine why highly educated people emigrate from China.
- Is Part Of:
- SAGE Open. Volume 11:Number 1(2021)
- Journal:
- SAGE Open
- Issue:
- Volume 11:Number 1(2021)
- Issue Display:
- Volume 11, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 11
- Issue:
- 1
- Issue Sort Value:
- 2021-0011-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03
- Subjects:
- brain drain -- China -- logistic regression -- random utility theory
Social sciences -- Periodicals
300.5 - Journal URLs:
- http://sgo.sagepub.com/ ↗
http://www.sagepublications.com/ ↗ - DOI:
- 10.1177/21582440211001371 ↗
- Languages:
- English
- ISSNs:
- 2158-2440
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15295.xml