中国和印度出生的移民与美国本地人的经济表现比较

IF 1.4 4区 社会学 Q3 DEMOGRAPHY Asian and Pacific Migration Journal Pub Date : 2022-12-01 DOI:10.1177/01171968231152621
B. Potnuru, B. Khadria
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引用次数: 0

摘要

以往对美国移民经济表现的研究表明,连续移民的技能水平较低,工资增长缓慢,因此几乎不可能与本地人的工资趋同。然而,使用2010-2019年美国社区调查(ACS)对中国和印度出生的移民的数据进行方差分析(ANOVA)事后检验显示,情况并非如此。与所有外国出生的移民和本地人相比,这两个移民群体的教育水平、职业水平和收入都明显更高。在2010-2019年期间,中国和印度出生的移民由于受教育程度更高,收入增长速度快于本土移民。因此,所有外国出生的人相对于本国人的一般特征和经历不能一概而论地适用于特定的移民群体。不同原籍国的移民具有不同的技能水平和能力,与本地人相比,他们的收入差异也不同。随着时间的推移,一些移民群体的生产力甚至会提高,因为他们的最新群体的人力资本的可移植性增加了。
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Comparison of the economic performance of the China- and India-born immigrants with US natives
Previous studies on the economic performance of immigrants in the United States of America showed that successive immigrants possess lower skills and experience sluggish wage growth, thereby making the wage convergence with the natives almost impossible. However, analysis of variance (ANOVA) post hoc tests using data from the American Community Survey (ACS) 2010–2019 on China- and India-born immigrants revealed otherwise. Both immigrant groups have significantly higher levels of education, better occupation and higher earnings compared to all foreign-born immigrants and natives. During 2010–2019, the earnings of China- and India-born immigrants increased faster than the natives’ due to their higher educational attainment. Thus, the general characteristics and experiences of all foreign-born vis-a-vis natives cannot be generalized across specific immigrant groups. Immigrants from different origin countries who have different skill levels and competencies show different earning differentials compared with the natives. Some immigrant groups even become more productive over time due to the increased portability of the human capital of their latest cohorts.
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来源期刊
CiteScore
1.20
自引率
11.10%
发文量
22
期刊介绍: The Asian and Pacific Migration Journal (APMJ) was launched in 1992, borne out of the conviction of the need to have a migration journal originating from the region that would provide a regional perspective of migration. Users will be able to read any article published from 1992 to 2006, to search all the articles by words or keywords and to copy or print partially or fully any article.
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