Moving up and down the urban hierarchy: age-articulated interregional migration flows in the Netherlands

Jong, Petra A. de; Brouwer, Aleid; McCann, Philip

doi:10.1007/s00168-016-0772-7

Cited by 20 publications

(12 citation statements)

References 39 publications

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“…Young people typically migrate to urban destinations, while counter-urban migration streams often have an overrepresentation of older adults (Plane & Jurjevich, 2009). This mobility pattern has not only been found in the US but also in various studies in Europe (see: De Jong et al, 2016;Friedrich &Warnes, 2000;Lindgren, 2003;Lundholm, 2012;Stockdale, 2006;Vollet et al, 2005).…”

Section: Introductionmentioning

confidence: 80%

Later-Life Migration in The Netherlands: Propensity to Move and Residential Mobility

Jong

2020

Journal of Aging and Environment

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Section: Introductionmentioning

confidence: 80%

Later-Life Migration in The Netherlands: Propensity to Move and Residential Mobility

Jong

2020

Journal of Aging and Environment

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“…At the later stages of urban development, alongside stronger economic diversifi cation and the growing popularity of alternative places of residence (Berry 1980), and due to the greater variety of consumer preferences (Long/Deare 1988), migration fl ows start taking other directions. People move from cities to suburbs and to rural areas, as well as between cities of different size and type (Champion et al 2014); not only up but also down the escalator (Fielding 1989(Fielding , 1992, and up and down the urban hierarchy (de Jong et al 2016). Migration trends in more densely populated territories differ from those in less populated areas (Stillwell et al 1990;Rees et al 1996).…”

Section: Previous Researchmentioning

confidence: 99%

“…The age groups are heterogeneous in terms of the reasons for and the objectives of migration: there is no common dominating motivation driving the migration of the middle-aged and the elderly. For example, de Jong et al (2016) fi nd that in the Netherlands, migrants aged 18-44 move between different levels of urban hierarchy in both directions: upwards when migrating to large cities, and downwards when going to smaller cities, and 70 percent of migrants aged 35-44 choose smaller cities as migration destinations. In France, the 23-33 age-group is the key contributor to suburbanisation, while in general, migration to the suburbs and rural areas increases with age (Détang-Dessendre et al 2008).…”

Section: Previous Researchmentioning

confidence: 99%

Age-specific Migration in Regional Centres and Peripheral Areas of Russia

Karachurina¹,

Mkrtchyan²

2020

CPoS

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Ravenstein, writing in 19th century papers, observed that migration varied with the life course. However, he did not investigate this variation in detail, as the necessary data were not then available. Age-specific migration has been a focus for researchers of migration in the 20th and 21st centuries. Building on this research, the current paper explores age-specific migration in Russia focussing on its spatial diversity. We compare age-specific migration patterns found in Russia and those observed in other developed countries. For this investigation, we mainly use Russian administrative data on residence registration for 2012-2016, together with information on populations by age in the latest census in 2010. The data are analysed using a classification of local administrative units classified by degree of remoteness from Russia’s principal cities (regional centres). The main results are as follows: In Russia, young people participate strongly in migration flows between peripheral territories and regional centres. The net migration surplus in regional centres is mostly produced by the migration of 15-19 year-olds starting further and higher education courses. Peak migration occurs in this age group. This type of migration represents upward mobility in the spatial hierarchy because institutions of higher education are located in the large cities. People aged 20-29 and 30-39 migrate in much smaller numbers, but they also replenish the population of regional centres. The inflow of middle-aged migrants and families with children was directed to the areas located closest to the regional centres, the suburbs. This type of migration is observed in regions with a well-developed middle class with high purchasing power, for example, in the city of Moscow and in the Moscow Region. Peripheral territories have similar profiles of age-specific migration, but of loss rather than gain. The farther they are from regional centres, the more significant the outflow of young people and the stronger the impact of migration on population ageing. The rural periphery and small cities attract only elderly migrants, but this inflow is far smaller than the outflow of young people. The directions and age selectivity of migration observed in other countries are thus also found in Russia, although there are important differences associated with the nature of housing in Russian cities and regions. * This article belongs to a special issue on “Internal Migration as a Driver of Regional Population Change in Europe: Updating Ravenstein”.

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“…Mobility peaks between twenty and thirty and declines steadily afterwards, with an eventual rise around retirement age and again shortly before death. Many authors consider this strong empirical regularity as almost universal, which is shown by the wide use of Tom Wilson's "age schedule of migration" [5].…”

Section: Migration Age Profile Model (Map)mentioning

confidence: 99%

Different Strategies for Modelling and Simulation of the Impact of Migration on Regional Population Development

Obermair¹,

Bicher²,

Breitenecker³

2018

SNE

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Demographic developments are not only a point of interest on national but also on sub-national level where migration rates are typically much higher compared to international movements. This article presents several models for the simulation of the impact national and international migration has on regional population development. Hereby we contribute to the research field of demographic modelling as we demonstrate pros and cons of the different modelling strategies when trying to parametrize the models with real-world data. Since the influence of an individual's age and sex on its mobility is a common feature discussed in literature, the models developed mainly focus on these influences. While the first models use decoupled migration processes, one additional approach is designed to take into account an individual's wish of moving to a particular place and not being distributed to a random region. All models are further enhanced with a region-specific external migration tool.

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Moving up and down the urban hierarchy: age-articulated interregional migration flows in the Netherlands

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Cited by 20 publications

References 39 publications

Later-Life Migration in The Netherlands: Propensity to Move and Residential Mobility

Later-Life Migration in The Netherlands: Propensity to Move and Residential Mobility

Age-specific Migration in Regional Centres and Peripheral Areas of Russia

Different Strategies for Modelling and Simulation of the Impact of Migration on Regional Population Development

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