2020
DOI: 10.1007/s11187-019-00314-x
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Understanding the gender gap in immigrant entrepreneurship: a multi-country study of immigrants’ embeddedness in economic, social, and institutional contexts

Abstract: Given the rising rate of migration across the globe, immigrant entrepreneurship is more than ever a topic of high theoretical and practical relevance. Immigrant entrepreneurship can offer host societies a win-win situation, generating incomes for immigrant entrepreneurs and contributing to knowledge transfer, innovativeness, and economic growth within the host economy. However, studies reveal that immigrant entrepreneurship is primarily male dominated and our understanding of the drivers and contextual factors… Show more

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Cited by 70 publications
(70 citation statements)
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References 110 publications
(177 reference statements)
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“…Moreover, given that some of these variables change employers' happiness without employees, could it be generating employment that makes this group happier? This question is supported by the literature [96,97].…”
Section: Discussionmentioning
confidence: 63%
“…Moreover, given that some of these variables change employers' happiness without employees, could it be generating employment that makes this group happier? This question is supported by the literature [96,97].…”
Section: Discussionmentioning
confidence: 63%
“…At the individual level, we control for respondent's age, household income, education, employment status, and personal attributes associated with entrepreneurial perceptions (Brieger and Gielnik 2020). Education is an ordinal variable based on the United Nations seven stages of schooling.…”
Section: Control Variablesmentioning
confidence: 99%
“…The other variables (gender, entrepreneurship course, entrepreneurship faculty, entrepreneurship competition, entrepreneurship practice, entrepreneurship policy, and entrepreneurship education performance of medical students) are all taken from the questionnaire. Datas were nested analyzed with the approach of mixed embeddedness (Deng et al, 2020;Brieger and Gielnik, 2021).…”
Section: Research Variables System Construction and Data Sourcesmentioning
confidence: 99%