Brain drain or economic gain? Untangling the global migration-growth puzzle through causality and time-frequency lenses

Q1 Economics, Econometrics and Finance
Pramoda Dissanayake, Lucius Chloe, Yusra Azmi, Shamen Landersz, Ruwan Jayathilaka
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引用次数: 0

Abstract

This study investigates the complex causal relationships between net migration and economic growth at the global, income group, and country levels, framing these dynamics within the evolving landscape of global economic integration and disparities, thereby addressing the enduring “brain drain or economic gain” debate. The analysis is conducted employing the latest available panel data from 1990 to 2023 for 154 countries. Additionally, several advance analytical techniques including Juodis, Karavias and Sarafidis non-causality test and Wavelet Transform Coherence is utilised to investigate relationships across multiple scales and time frequencies. To the best of the authors’ knowledge, no prior research has examined these dynamics using these methods. Additionally, a novel visualisation technique called Lucius Jesper Chloe heatmap, was utilised to depict the Granger causalities. The findings confirm a relationship between migration and economic growth on a global scale. Further analysis reveals bidirectional and unidirectional relationships within income groups and countries. Finally, implications are made for policymakers to develop economic policies that leverage the economic potential of migration and vice versa.
人才流失还是经济收益?通过因果关系和时频透镜解开全球移民增长之谜
本研究探讨了净移民与全球、收入群体和国家层面的经济增长之间复杂的因果关系,并在全球经济一体化和差异的不断演变的格局中构建了这些动态,从而解决了长期存在的“人才流失还是经济收益”的争论。该分析采用了154个国家1990年至2023年的最新可用面板数据。此外,几种先进的分析技术,包括Juodis, Karavias和Sarafidis非因果检验和小波变换相干性,用于研究跨多个尺度和时间频率的关系。据作者所知,之前没有研究使用这些方法检查这些动态。此外,一种名为卢修斯·杰斯珀·克洛伊热图的新颖可视化技术被用来描述格兰杰因果关系。研究结果证实了全球范围内移民与经济增长之间的关系。进一步的分析揭示了收入群体和国家之间的双向和单向关系。最后,本文为政策制定者制定利用移民经济潜力的经济政策提供了启示,反之亦然。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Research in Globalization
Research in Globalization Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
8.00
自引率
0.00%
发文量
31
审稿时长
79 days
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