基于经济因素的南亚学生移民比较分析

Yasir Khan, Taimoor Hassan, Wang Yi, Rahimullah Gulzar
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引用次数: 3

摘要

在过去十年中,经济不稳定和高失业率大大增加了来自世界各地,特别是南亚国家的学生移民人数。越来越多的国际学生移民到国外接受高等教育,寻找更好的经济机会。本研究将确定来自南亚国家,特别是巴基斯坦、印度和孟加拉国的学生移民的经济影响。对三个边境共享国家的比较分析显示了长期的经济和政治不稳定以及2008年经济和金融崩溃的结果,并讨论了这种环境如何影响来自南亚的学生移民。本研究是定量研究,以提问者为工具,从300名在中国大学学习的南亚学生的大样本中收集原始数据。本研究工作基于两个因素,1)巴基斯坦、印度和孟加拉国经济因素的恶化改变了学生对海外移民的看法;2)该研究还反映出,大多数巴基斯坦、印度和孟加拉国学生希望留在东道国。结果表明,各相关变量均显著正相关,经济不稳定、失业率高、工资低、政治不稳定、教育质量低。这些变量的logit-probit回归模型可以预测总体留学生迁移的方差值较高。研究结果对关注国际教育、学生迁移行为、比较数据以及战略政策的学术机构和政府机构具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparative Analysis Based on Economic Factors of Students Emigration from South Asia
Economic instability and higher unemployment significantly increased the number of students migration from all over the world, particularly South Asian countries in the last decade. Growing number of international student migration to abroad for higher education and search for better economic opportunity. This study will determine the economic impact of students’ emigration from South Asian countries particularly Pakistan, India, and Bangladesh. A comparative analysis of the three border sharing countries have shown the long-term economic and political instability and a result of an economic and financial collapse in 2008, and also discuss how such an environment has affected student emigration from South Asia. This study is quantitative research using questioners as a tool to collect primary data, from the large sample size of 300 South Asian students studying in Chinses universities in China. This research work is based on two factors, 1) the deterioration of economic factors in Pakistan, India, and Bangladesh have changed the students’ perception to migrate abroad; 2) the study also reflected that majority of Pakistani, Indian and Bangladeshi students want to stay in the host country. The findings indicated that all the related variables have significantly positive, economic instability, higher unemployment, lower salary, political instability, and lower quality education system. The logit-probit regression models with these variables could predict the higher value of the variance in the overall student migration to abroad. Findings are relevant for academic institutions and government agencies interested in international education, student migration behavior, comparative data as well as strategic policies.
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