Understanding Neighbourhood Population Dynamics for Neighbourhood Effects Research: A Review of Recent Evidence and Data Source Developments

Bailey, Nick; Barnes, Helen; Livingston, Mark; McLennan, David

doi:10.1007/978-94-007-4854-5_2

Cited by 9 publications

(12 citation statements)

References 48 publications

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“…One of the most common, from Holtermann (1975) onwards, is that the majority of those who are 'deprived' do not live in 'deprived neighbourhoods'; some would argue that this misses the point since a deprived neighbourhood is more than simply the sum of its residents. Another criticism is that the focus on deprived places obscures the extent to which the deprived population resident within them is highly dynamic, with individuals moving in and out of poverty, and moving in and out of the neighbourhood (Bailey et al 2013;Gambaro et al 2016;Fransham 2017). Aggregate levels of deprivation may mask variations between places in the extent to which they are home to individuals facing long-term poverty or a fast-changing group of people experiencing shorter-term spells.…”

Section: Neighbourhood Policy and Indices Of Multiple Deprivationmentioning

confidence: 99%

Using Linked Longitudinal Administrative Data to Identify Social Disadvantage

2019

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Administrative data are widely used to construct indicators of social disadvantage, such as Free School Meals eligibility and Indices of Multiple Deprivation, for policy purposes. For research these indicators are often a compromise between accuracy and simplicity, because they rely on cross-sectional data. The growing availability of longitudinal administrative data may aid construction of more accurate indicators for research. To illustrate this potential, we use administrative data on welfare benefits from DWP's National Benefits Database and annual earnings from employment from HMRC's P14/P60 data to reconstruct individual labour market histories over a 5-year period. These administrative datasets were linked to survey data from the Poverty and Social Exclusion UK 2012. Results from descriptive and logistic regression analyses show that longitudinal measures correlate highly with survey responses on the same topic and are stronger predictors of poverty risks than measures based on cross-sectional data. These results suggest that longitudinal administrative measures would have potentially wide-ranging applications in policy as well as poverty research.

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Section: Neighbourhood Policy and Indices Of Multiple Deprivationmentioning

confidence: 99%

Using Linked Longitudinal Administrative Data to Identify Social Disadvantage

2019

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“…Theoretically, involuntary staying is characterised by a long-term imbalance between the housing needs of a household and its current residential environment, which creates housing stress (Brown and Moore 1970; see also Bailey et al 2013). In Brown and Moore's (1970) classic relocation model, the first phase is the decision to seek a new residence, which is driven by changed demands concerning the residential environment, that is, the apartment itself and the location factors.…”

Section: Involuntary Staying and Self-rated Healthmentioning

confidence: 99%

Involuntary staying and self-rated health: A multilevel study on housing, health and neighbourhood effects

Kemppainen¹,

Elovainio

Kortteinen³

et al. 2019

Urban Studies

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Involuntary staying, or a desire to move without the possibility to do so, is an under-studied topic. In this study, we examine involuntary staying among the residents of post-Second World War Finnish housing estates; we study its frequency, association with self-rated health and role in the relationship between neighbourhood disadvantage and self-rated health. Involuntary staying and poor health are expected to be associated through long-term stress related to housing and health-based selection in inconvenient housing outcomes. Furthermore, we address the self-perceived reasons for involuntary staying and the interaction between involuntary staying and household income. Two types of involuntary staying are distinguished, depending on whether a resident wants to move within or away from the current neighbourhood. The survey data ( n = 7369) from a stratified cluster sample of the residents of 70 Finnish housing estate neighbourhoods are combined with the corresponding geo-referenced register data on these neighbourhoods’ sociodemographic characteristics. Of the residents, 35% are found to be involuntary stayers, and over half of the involuntary stayers want to move away from their current neighbourhoods. Financial concern is the most common self-perceived reason for involuntary staying. Both types of involuntary staying are associated with low self-rated health after adjusting for potential confounders. Being trapped in the current neighbourhood partially mediates the adjusted association between neighbourhood disadvantage and self-rated health. The association between self-rated health and involuntary staying is not modified by household income. In conclusion, involuntary staying is common in the study population and furthers the understanding about neighbourhood inequalities in health.

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“…This finding stems from sociological studies on the effects of neighbourhood characteristics and neighbourhood dynamics on a number of outcomes, such as crime rates, health, and work prospects (Sampson et al, 2002;Van Wilsem et al, 2003, 2006Völker et al, 2013). It has been found that although neighbourhood (dis)order clearly has an impact on its residents' assessment of the neighbourhood and whether they will move, perceived changes in neighbourhood order or reputation are also important (Feijten and van Ham, 2009;Bailey et al, 2013). We expect that local entrepreneurs are even more susceptible to changes in their neighbourhoods' social and physical order than are ordinary residents because neighbourhood conditions may affect not only entrepreneurs' social and personal lives, but also their professional success.…”

Section: Firm-external Determinants Of Firm Success At the Local Levelmentioning

confidence: 99%

Local Disorder and the Success of Firms in Residential Neighbourhoods

Mollenhorst

Schutjens

2017

ESR&P

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According to economic geography literature, the success of firms is affected by the local context, in particular when firms are socio-spatially embedded. We expect this effect to be stronger when firms face an increase in local disorder. We analysed data on 344 firms (active in retail, eating and drinking establishments, personal services and private education, business services, cultural activities, manufacturing and building) in 108 Dutch residential neighbourhoods, and data on the changes in social and physical disorder of those neighbourhoods, to examine firm success determinants. We find that it is not the degree of disorder that matters to local firms turnover, but rather recent changes in local disorder. More in particular, we find that local firm turnover is negatively affected by an increase in local disorder, but only when a firm depends on daily visits from predominantly local customers. Our results suggest that physical and social local interventions to create safe and clean public spaces will indirectly positively influence local firms and subsequently, the neighbourhood economy. This spill-over effect is promising for both residents, who benefit from local amenities and local ‘buzz’, and local entrepreneurs, whose firm success is stimulated.

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Understanding Neighbourhood Population Dynamics for Neighbourhood Effects Research: A Review of Recent Evidence and Data Source Developments

Cited by 9 publications

References 48 publications

Using Linked Longitudinal Administrative Data to Identify Social Disadvantage

Using Linked Longitudinal Administrative Data to Identify Social Disadvantage

Involuntary staying and self-rated health: A multilevel study on housing, health and neighbourhood effects

Local Disorder and the Success of Firms in Residential Neighbourhoods

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