Migration and innovation: a survey of recent studies

Breschi, Stefano; Lissoni, Francesco; Temgoua, Claudia Noumedem

doi:10.4337/9781784710774.00041

Cited by 10 publications

(4 citation statements)

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“…1 The number of papers studying migration and innovation increases rapidly. A set of recent excellent surveys provides a full coverage of the topic: Breschi et al (2016); Lissoni (2017); Rashidi-Kollmann and Pyka (2016); Kemeny (2017); Kerr (2016). 2 Bosetti et al (2015), using a panel of twenty European countries, find that skilled migrants contribute positively to the number of patents and citations of scientific publications.…”

Section: The Direct Impact Of Skilled Migration On Innovationmentioning

confidence: 99%

Skilled migration and innovation in European industries

2019

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This paper studies the effects of skilled migration on innovation in European industries between 1994 and 2005, using the French and the UK Labour Force Surveys and the German Microcensus. We tackle the endogeneity of migrants with a set of external and internal instruments (GMM-SYS). Our results show that highly-educated migrants have a positive effect on innovation and the effect is about one third the one of the skilled natives. The effect of skilled migrant is stronger in industries with high R&D intensity, high FDIs and openness and in industries with higher ethnical diversity at industry level. The estimated coefficient for migrants within Europe is more than twice the one of the non European migrant.

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Section: The Direct Impact Of Skilled Migration On Innovationmentioning

confidence: 99%

Skilled migration and innovation in European industries

2019

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“…For Italy, it is hard to find complete statistical data or reports detailing labor market outcomes for highly skilled migrants (e.g., ISTAT, 2015), especially distinguishing between men and women and accounting for STEMM versus non-STEMM educational backgrounds (cf. Breschi et al, 2016). Our study builds on and reports evidence collected through interviews and focus groups, which allowed us to describe life histories that cannot be considered paradigmatic but that can still be envisaged as examples of a twofold process.…”

Section: Discussionmentioning

confidence: 99%

Highly skilled, yet invisible. The potential of migrant women with a STEMM background in Italy between intersectional barriers and resources

Bolzani

Crivellaro

Grimaldi

2021

Gender Work & Organization

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Despite increasing numbers of vacancies for highly skilled jobs in innovative sectors of the economy, highly skilled migrants are often discriminated against despite their qualifications. This discrimination represents a relevant issue, especially for women with a background in male‐dominated and highly regulated fields, such as science, technology, engineering, mathematics, and medicine (STEMM). We draw on qualitative data collected in Northern Italy from in‐depth interviews and focus groups with women from different countries and STEMM qualifications. Adopting an intersectionality approach, we illuminate the macro‐, organizational‐, and individual‐level barriers that prevent highly skilled migrant women from finding a job that measures up to their qualification level and sector, and we highlight the resources available to them to overcome these barriers. By emphasizing the intersectional ties of being a woman, a migrant, and a STEMM professional, we identify relevant areas for policy intervention to valorize migration in support of innovation and labor outcomes in Italy and in other countries.

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“…Therefore, it is worth considering the importance of gender and the year of graduation in the context of their impact on innovativeness. In the literature, there are also other factors indicated, which influence innovation, such as unemployment, remuneration [5], and population migration [6]. Those, in turn, linked with the profile of job candidates, may contribute to discovering the potential and location of people with innovative work competences.…”

Section: 1mentioning

confidence: 99%

Human resources optimization with MARS and ANN: Innovation geolocation model for generation Z

Graczyk-Kucharska

Olszewski

Goliński

et al. 2022

JIMO

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<p style='text-indent:20px;'>Human resources (HR) have a key impact on the creation and implementation of modern products, solutions and concepts. Relatively new and rarely undertaken research challenge in enterprise is optimization of HR in the context of their location and requirements for working conditions. A great challenge here is the transparency and reliability of the collected data. In the article, we present a modern approach to knowledge extraction based on Artificial Intelligence (AI) and Multivariate Adaptive Regression Splines optimizing the availability of HR with a high innovation rate, taking into account their availability time and location. This study was conducted on a group of 5095 young people from the Z generation. A total of 11 variables were analyzed in the context of innovation and presented in this article. The effect of research using machine learning methods is the analysis of the characteristics of generation Z representatives, whose desire is to work in innovative companies. Research results indicate that some regions offer candidates with a higher level and commitment to innovation, and thus make HR more available for the development of innovative products. Chosen models designed by using AI and Operational Research Analytics were presented in the graphic visualization, which is a novelty in the presentation of similar issues in relation to HR.</p>

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Migration and innovation: a survey of recent studies

Cited by 10 publications

References 0 publications

Skilled migration and innovation in European industries

Skilled migration and innovation in European industries

Highly skilled, yet invisible. The potential of migrant women with a STEMM background in Italy between intersectional barriers and resources

Human resources optimization with MARS and ANN: Innovation geolocation model for generation Z

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