Migration of IT Specialists and Gender

Author(s):  
Elena Gapova

The purpose of this article is to analyze “after the shift,” which occurred in the second half of the 20th century, from a goods-producing society to an information or knowledge society, as information technology (IT) began to be seen as a most important asset of contemporary nations. Bell argued in 1973 that in the new social order, knowledge and information would replace industrial production, and would become the “axial principle” of social organization (Bell, 1973). By the end of the 20th century, IT has also become a truly global phenomenon, involved with the reconfiguration of the labor market and human and material resources from all over the world. Gary Becker, the 1992 Nobel laureate in economics, pointed out that the United States’ (U.S.) Silicon Valley currently employs 1 million people, of whom 40% have at least a bachelor’s degree and more than one-third are foreign-born. In the new information economy, special importance is assigned to IT researchers and developers, who belong to the global group of “knowledge workers.” In the post-industrial era, IT workers have skills that allow them to compete in the global labor market, as IT jobs, by their very nature, are not tied to any particular culture and “can work” anywhere. At the same time, IT production is labor-intensive, and many first-world nations (Britain, Germany, France, Ireland, the U.S.), which have undergone a reduction in birthrates, feel that their own human resources are not sufficient for its development. In 2000, the American Institute for Electric and Electronic Engineers (IEEE) recognized that “With declining numbers from national engineering graduate programs, the U.S. has no option but to satisfy the growing need for the engineering professionals from abroad” (Institute, 1999). To bring professionals into the country, the U.S., the biggest IT developer, introduced an employer-based H1-B visa program for specialty occupations (e.g., computer professionals, programmers or engineers).

2010 ◽  
Vol 6 (2) ◽  
pp. 286-310 ◽  
Author(s):  
Emily Skop ◽  
Wei Li

AbstractIn recent years, the migration rates from both China and India to the U.S. have accelerated. Since 2000 more than a third of foreign-born Chinese and 40% of foreign-born Indians have arrived in that country. This paper will document the evolving patterns of immigration from China and India to the U.S. by tracing the history of immigration and racial discrimination, the dramatic transitions that have occurred since the mid-20th century, and the current demographic and socioeconomic profiles of these two migrant groups.


2020 ◽  
pp. 96-116
Author(s):  
Taylor N. Carlson ◽  
Marisa Abrajano ◽  
Lisa García Bedolla

Chapter 5 examines the relationship among network characteristics, political knowledge, and policy attitudes by ethnorace, nativity, and gender. While we are unable to distinguish between selection and social influence, we uncover some interesting patterns. Network size is positively associated with political knowledge for both men and women, but we observe variation by ethnorace and nativity. Network size is not associated with political knowledge among Latinos, and discussion frequency is not associated with political knowledge among Blacks, Latinos, or Whites. Discussion frequency is positively associated with political knowledge among both the U.S. and foreign born, but network size is only associated with political knowledge among the U.S. born. For policy attitudes, we explored two issues that are important for marginalized ethnoracial group members: environmental policy and social justice policy. We find substantial variation in the relationship between network characteristics and policy preferences among the ethnoracial groups in the sample.


2020 ◽  
pp. 71-95
Author(s):  
Taylor N. Carlson ◽  
Marisa Abrajano ◽  
Lisa García Bedolla

In this chapter, we investigate the extent to which discussion network characteristics are associated with feelings of political efficacy and trust, which are essential precursors to political participation. We explore these factors by of ethnorace, nativity, and gender. We compare levels of trust and efficacy across these groups descriptively, then use ordinary least squares reg ression models to examine how network characteristics are associated with efficacy and trust. We supplement these empirical findings with evidence from our qualitative interviews. We find that network characteristics do not influence political trust and political efficacy among the foreign born as much as they do among the U.S. born. We observe limited differences in these relationships between men and women. We also find substantial variation among ethnoracial groups; for example, we find that partisan homogeneity is positively associated with political trust for Blacks and Latinos, but not for Whites or Asian Americans.


2021 ◽  
Author(s):  
Gustavo Leyva ◽  
Israel Mora

We estimate that about 10.6 percent of jobs could be done from home in Mexico, using 468 4-digit SINCO occupations and employment data in 2019. This is roughly half the estimate reported by Dingel and Neiman (2020) using teleworking criteria devised for the U.S. labor market. Owing to the peculiarities of the Mexican labor market, we report results by type of contract (formal and informal), geographical area, and gender. We validate our teleworking measure by exploiting the cross-state variation of real GDP per worker, the share of services in employment, and internet and computer access within the household. We find that the gap in teleworking possibilities favorable to females has its root in the disparate occupation structures across gender. During the pandemic, the decline in the share of non-telework jobs in females has been thrice as much as that in males


2020 ◽  
pp. 38-51
Author(s):  
Galina Sillaste

The article reveals the conceptual approaches of the methodological analysis of one of the poorly studied socio-political phenomena of globalization — a new gender order. The author offers the concept of its evolutionary development in modes of social time and integrative conceptual interaction with theories of structure and social order. The processes and forms of “substitution” of the norms of the old gender order with the new ones are analyzed on the example of the most mobile sphere of economic development: the labor market. It reveals its transformation into a three-segment economic space market: the labor market, the employment market and the market of professions as a structure with social norms, gender order and gender resources. The article analyzes dynamic gender processes and the introduction of new norms of gender order in the market of professions. The article continues a series of author’s publications that revealed the theory of the new gender order and its practical implementation in domestic social practice (see № 2 and № 3, 2019).


2019 ◽  
Vol 6 (1) ◽  
pp. 1-21
Author(s):  
Rebbeca Tesfai ◽  
Kevin J. A. Thomas

The U.S. labor market is increasingly made up of immigrant workers, and considerable research has focused on occupational segregation as an indicator of their labor market incorporation. However, most studies focus on Hispanic populations, excluding one of the fastest growing immigrant groups: foreign-born blacks. Because of their shared race, African and Caribbean immigrants may experience the same structural barriers as U.S.-born blacks. However, researchers hypothesize that black immigrants are advantaged in the labor market relative to U.S.-born blacks because of social network hiring and less discrimination by employers. Using 2011–2015 pooled American Community Survey data, this study is among the first quantitative studies to examine black immigrants’ occupational segregation in the United States. The authors use the Duncan and Duncan Dissimilarity Index to estimate black immigrants’ segregation from U.S.-born whites and blacks and regression analyses to identify predictors of occupational segregation. Consistent with previous work focusing on Hispanic immigrants, foreign-born blacks are highly overrepresented in a few occupations. African and Caribbean immigrants experience more occupational segregation from whites than the U.S.-born, with African immigrants most segregated. Africans are also more segregated from U.S.-born blacks than Caribbean immigrants. Results of the regression analyses suggest that African immigrants are penalized rather than rewarded for educational attainment. The authors find that the size of the coethnic population and the share of coethnics who are self-employed are associated with a decline in occupational segregation. Future research is needed to determine the impact of lower occupational segregation on the income of self-employed black immigrants.


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