Showing posts with label internal_migration. Show all posts
Showing posts with label internal_migration. Show all posts

Tuesday, 20 March 2018

Migration, migrants, and human security

an article by Bandana Purkayastha (University of Connecticut, USA) published in Current Sociology Volume 66 Issue 2 March 2018)

Abstract

This introductory article outlines a framework to bridge some of the current fragmentation and knowledge hierarchies in the sociological field of migration. The article builds on the insights – and epistemological roots – used in different parts of the world to reflect on 21st-century realities of migration and human security.

It considers international migrants, internally displaced persons, refugees and trafficked persons as part of a continuum of migrants who exhibit seasonal, temporary and long-term migration patterns.

The framework draws upon the scholarship of the Global South and North on political-economic processes that have historically influenced migration and migrants’ lives and continue to do so today. It considers the dominant approach used in studies of international migration and shows why it is necessary to go beyond the focus on nation-states and an emphasis on a particular group of migrants.

The framework weaves the insights of scholars who work on international, internal migration and forced migration, as well as the critical literatures on intersectionality and human rights to build an approach that centers questions of migrants’ human security. The framework emphasizes the glocal – i.e. intersecting global-national-local – terrains of migration and discusses human security within glocal terrains.


Wednesday, 8 July 2015

Why are Higher Skilled Workers More Mobile Geographically? The Role of the Job Surplus

CEP Discussion Paper No 1338 by Michael Amior (March 2015)

Abstract

The skill gap in geographical mobility is entirely driven by workers who report moving for a new job. A natural explanation lies in the large expected surplus accruing to skilled job matches. Just as large surpluses ease the frictions which impede job search in general, they also help overcome those frictions (specifically moving costs) which plague cross-city matching in particular.

I reject the alternative hypothesis that mobility differences are driven by variation in the moving costs themselves, based on PSID evidence on self-reported willingness to move. Evidence on wage processes also supports my claims.

JEL codes: J24, J61, J64

Full text (PDF 62pp)


Thursday, 3 January 2013

Does Internal Migration in Northern Ireland Increase Religious and Social Segregation? Perspectives from the Northern Ireland Longitudinal Study (NILS) 2001–2007

an article by Ian Shuttleworth, Paul James Barr and Myles Gould (Queen’s University of Belfast, UK) published in Population, Space and Place Volume 19 Issue 1 (January/February 2013)

Abstract

Internal migration, because of its selectivity, has been recognised in Britain, Europe, and the USA as a major influence on geographical patterns of ethnic and social segregation.

Despite this, and despite its history of communal division, plus accounts which have emphasised population moves as a cause of segregation, far less academic attention has been paid to dynamic migration processes in understanding the evolution of spatial population patterns in Northern Ireland (NI).

This paper attempts to address this gap by considering how far internal migration – defined as address changes – has redistributed the population with regard to (a) religion and (b) social deprivation between 2001 and 2007.

Using data from the Northern Ireland Longitudinal Study (NILS), the paper finds that Catholics and Protestants move from and to the same sorts of places with regard to deprivation but that there was some evidence of differential mobility behaviour with regard to individual community affiliation and other individual socio-demographic characteristics. However, there is no evidence for increases in either communal or social segregation.

It is suggested that this is because relatively few people move, they move only short distances, and the current net redistributive impact of migration is therefore small. It is hypothesised that a much more dynamic population with regard to migration is needed to increase or decrease segregation.

Copyright © 2012 John Wiley & Sons, Ltd.


Saturday, 24 July 2010

Estimates of internal migration flows for the UK, 2000–2007

an article by Adam Dennett and Phil Rees (University of Leeds) published in Population Trends Volume 40 Issue 1 (Summer 2010)


Abstract
Statistics on migration flows year by year within the UK are produced by the Office for National Statistics, the General Register Office for Scotland and the Northern Ireland Statistics Research Agency for migration within England and Wales, within Scotland and within Northern Ireland respectively. However, these flow statistics are not integrated across the UK. As there was a need for such integrated flow statistics at a sub-national scale known as NUTS2 for an EU sponsored project, the authors developed a synthetic estimate of migration flows for the calendar years 2000 to 2007 and the mid-year to mid-year intervals 1999–2000 to 2006–07. The estimates were controlled by the migration flows published at NUTS1 scale from the UK-wide NHS Central Register to which country-specific flows between NUTS2 regions from the various patient registers were fitted. The gaps, flows between regions in different devolved territories, were filled by adjusting comprehensive flow data from the 2001 Census to the published NHSCR flows. Age detail was added only to the total out-migration and in-migration flows from each region using a fixed national profile of migration rates by age from the 2001 Census. The resulting time series of flow data provide, therefore, the three matrix faces of an origin-destination-age array for each time period. The paper describes the details of the estimation process and reports on some of the trends that the time series show.



The PDF of the full article is available only to subscribers (individual or institutional) to the journal and does not seem to be available on the statistics.gov.uk website.