The Development of a Migration Model for England and Wales: Overview and Modelling Out-Migration

Fotheringham, A. Stewart; Rees, Phil; Champion, Tony; Kalogirou, Stamatis; Tremayne, A. R.

doi:10.1068/a36136

Cited by 48 publications

(48 citation statements)

References 6 publications

(2 reference statements)

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“…Increasing the chances of lagging is being male relative to female. This finding agrees well with those of Smallwood and Lynch (2010) and Fotheringham et al (2004). All age groups (relative to those aged 25-34) are more likely to lag in reporting.…”

Section: Resultssupporting

confidence: 82%

“…Missing or lagging reports of address changes are identified as being greater for males than females. This observation agrees with the findings of Fotheringham et al (2004) who comment that NHSCR data are likely to undercount males, and young males, in particular.…”

Section: Introductionsupporting

confidence: 82%

“…The explanatory variables used in the analysis were selected from the 2001 Census, with reference to the factors that make populations hard to enumerate in censuses and which also shape migration propensities (Fotheringham et al 2004;Champion 1998). These factors might also influence engagement with the NIHCR system, both as another administrative branch of government, but also in influencing mobility -many changes of address and transience could limit engagement with HPs too.…”

Section: Analytical Frameworkmentioning

confidence: 99%

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2011

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Address information from health service professionals is already important for the delivery of health care and population monitoring and screening. It is also important for statistical purposes such as the estimation of migration and small area populations and its importance could increase as the decade progresses and alternatives are sought to the traditional census. Because of this, it is important to understand more about the accuracy of address information provided through the health care system. This article considers the characteristics of 'laggers' -those who delay in reporting address changes -and 'non-reporters' -those who on occasion fail to report their addresses.The article finds that, as might be expected, laggers and non-reporters tend to be male and resident in urban and deprived areas. However, less expectedly, older people tend to be laggers, as are owner occupiers, those who are not ill, those who have some educational qualifications, and those who are self-employed. Some non-reporters are also more likely to be employed in professional jobs and to be unmarried (for example single, remarried and divorced). This suggests that poor address information is not just a problem associated with the socially deprived and the young but also with some more affluent groups such as those not experiencing limiting long-term illness. The article concludes by arguing that the checking of patients' address information should be collected under the Quality and Outcomes Framework (QOF) as a performance indicator.

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Section: Resultssupporting

confidence: 82%

Section: Introductionsupporting

confidence: 82%

Section: Analytical Frameworkmentioning

confidence: 99%

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2011

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“…SIMs are particularly appropriate in the context of migration where empirical studies and model experiments have demonstrated that the propensity to migrate decreases with distance (Boyle et al, 1998;Flowerdew, 2010;Fotheringham et al, 2004;He and Pooler, 2003;Singleton et al, 2010;Stillwell, 1978;Taylor, 1983). Indeed, Olsson (1970, p. 223) notes that 'Under the umbrella of spatial interaction and distance decay, it has been possible to accommodate most model work in transportation, migration, commuting and diffusion'.…”

Section: Biproportional Fitting Modelling Methodologymentioning

confidence: 99%

Estimating Inter‐regional Migration in Europe

Dennett¹,

Wilson²

2016

Global Dynamics

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“…Furthermore, the household's perceptions of the intensity of the event along with other socioeconomic aspects of everyday life, and their ability to cope and circumvent its effects, influence the adaptation strategy This model underlines the variety of mobility processes in the context of climate events through the analysis of key dimensions of spatial mobility represented by purpose, duration, frequency, composition and seasonality. These features were selected because they represent a range of characteristics that determine the nature of spatial mobility (Bell and Ward 2000;Fotheringham et al 2004). Consistent with the literature, the model identifies that mobility outcomes can be influenced by a complex interplay between exogenous factors, institutional responses and household capital.…”

Section: Towards a Conceptual Model: Integrating The Sustainable Livementioning

confidence: 79%

Living with drought: a study of spatial mobility in semi-arid Northeast Brazil

Campos¹

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This thesis examines spatial mobility in relation to livelihood portfolios and capital assets among rural households during the 2010-2013 drought in semi-arid Northeast Brazil. Spatial mobility is a strategy adopted by rural households to respond to the impacts of climatic events in marginal regions around the globe. Permanent and seasonal forms of migration have been widely documented in the African Sahel and in Southeast Asia, but less attention has been given to South America. Moreover, little consideration has been given to the way climatic events impact on local forms of temporary mobility, including diurnal activity patterns and circular mobility.The distinctive socioeconomic and physical context of Northeast Brazil provides a unique setting to explore these relationships. On the one hand, the settlement pattern provides greater spatial choice. On the other hand, a robust welfare system reduces vulnerability to external stressors such as climatic events. At the same time, semi-arid Northeast Brazil suffers from cyclical droughts, including an intense and prolonged drought for the majority of 2010-2013. Such slow-onset climatic events represent a major threat to marginal communities relying on rain-fed agricultural systems. This study presents an empirical account of the impacts of the recent drought on spatial mobility and livelihood strategies in three rural localities in the State of Ceará. The methodology is multifaceted including, analysis of aggregate regional data on migration and climate, a survey of rural households, key-informant interviews, and the application of a new toolkit designed to capture the spacetime signature of local circulation patterns. Nested within a regional case-study, these data were complemented by a macro approach which examines the broad socioeconomic and climatological context of the region. A robust conceptual model was developed to guide the research, situating household livelihood strategies in a framework defined by access to five broad groups of assets, within the wider socioeconomic and physical context, and tracing changes in the spatiotemporal dimensions of mobility resulting from the drought. At the aggregate level, the study uses census data and indirect estimates to link population dynamics to climatic events in the Northeast Region and in the State of Ceará. At the micro level, the study couples an intensive survey with field observation to examine household access to five forms of capital which mediate livelihood strategies among smallholder farmers. Analysis revealed four distinctive types of households, which differed in asset endowment and livelihood strategies:welfare-dependent, mixed livelihood, non-farming and commercial livestock-oriented.ii Differences between the four types were reflected in the way they were impacted by climatic events, and in the strategies employed to respond to the hardship.The study also sought to compare household perceptions of changes in the local climate against scientific climatological data. Respondents showed clear ...

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The Development of a Migration Model for England and Wales: Overview and Modelling Out-Migration

Cited by 48 publications

References 6 publications

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Estimating Inter‐regional Migration in Europe

Living with drought: a study of spatial mobility in semi-arid Northeast Brazil

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