2023-09-28 14:46:10 +00:00
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abstract: 'The analysis of inequality between migrant and non-migrant/host
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populations has been regularly undertaken within migration studies.
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However, the consideration of inequalities within migrant populations is
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much less common. A range of factors may contribute to the inequalities
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between migrant groups, including nationality, ethnicity and migration
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status, and within migrant groups, including gender, educational level
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and socio-economic status. These may originate in pre-migration factors
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such as social capital, factors related to the selectivity of the
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migration process itself and/or post-migration conditions such as `fit''
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in the labour market, reception by the host society and degree of access
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to services. Using the New Zealand case study, this chapter develops
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some methods of quantifying some of these inequalities through the use
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of measures related to income, unemployment and wage levels. The use of
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these quantitative approaches is also qualified in relation to data
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availability, data accuracy and the dangers of essentialising
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difference. Furthermore, the use of qualified information based on
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detailed case studies and other sources is also suggested. As proposed
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elsewhere in this book, migration policy itself is the source of
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inequality among migrants, but an understanding of other sources of
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inequality is also important in informing policy on migrant outcomes for
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government and non-government agencies.'
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affiliation: 'Friesen, W (Corresponding Author), Univ Auckland, Sch Environm, Auckland,
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New Zealand.
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Friesen, Wardlow, Univ Auckland, Sch Environm, Auckland, New Zealand.'
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author: Friesen, Wardlow
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author-email: w.friesen@auckland.ac.nz
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author_list:
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- family: Friesen
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given: Wardlow
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booktitle: 'INTERSECTIONS OF INEQUALITY, MIGRATION AND DIVERSIFICATION: THE POLITICS
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OF MOBILITY IN AOTEAROA/NEW ZEALAND'
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da: '2023-09-28'
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doi: 10.1007/978-3-030-19099-6\_2
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editor: SimonKumar, R and Collins, FL and Friesen, W
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files: []
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isbn: 978-3-030-19099-6; 978-3-030-19098-9
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keywords: 'Quantitative measures; Spatial clustering; Income inequality;
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Employment; Unemployment; Earnings; Gini; Coefficient; Lorenz Curve'
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keywords-plus: AUCKLAND
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language: English
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number-of-cited-references: '24'
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pages: 17-42
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papis_id: 42aaeb88fd45aa0853631ca7db3edb15
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ref: Friesen2020quantifyingqualifyin
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series: Mobility \& Politics
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times-cited: '4'
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title: Quantifying and Qualifying Inequality Among Migrants
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2023-10-01 08:15:07 +00:00
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type: article
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2023-09-28 14:46:10 +00:00
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unique-id: WOS:000487242600002
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usage-count-last-180-days: '0'
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usage-count-since-2013: '3'
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web-of-science-categories: Demography; Social Issues
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year: '2020'
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