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Modelling Spatial Variation in the Determinants of Neighbourhood Family Migration in England with Geographically Weighted Regression

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Abstract

There have been many studies which have modelled internal migration in the UK. However, most of these have used data at geographical scales that conceal the majority of migration flows between neighbourhoods. They have also tended to use Ordinary Least Squares (OLS) regression or spatial interaction models. The latter are computationally unfeasible for migration flows between a large number of neighbourhoods. This paper uses a spatial modelling technique called Geographically Weighted Regression (GWR) to model family out-migration from neighbourhoods in England. GWR can take account of the spatial variation in the relationship between migration and its associated factors which are not accounted for using OLS. The variables included in the model are derived from theory and empirical research and include housing, socioeconomic, and environmental factors. The results show that the proportion of private renting, terraced housing, worklessness and non-domestic building land space in a neighbourhood each affect out-migration at varying levels across the country. For example, the effect of worklessness on out-migration is much stronger in neighbourhoods in the South East than the North of England. Therefore, all other things held constant, a successful intervention to reduce worklessness, initiated to discourage out-migration, would have a greater effect on out-migration in neighbourhoods in the South East compared with neighbourhoods in the North.

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Notes

  1. AICc is adjusted for sample size.

References

  • Adair, A. S., Berry, J. N., & McGreal, W. S. (1996). Hedonic modelling, housing submarkets and residential valuation. Journal of Property Research, 13, 67–83.

    Article  Google Scholar 

  • Bailey, N. (2012). How spatial segregation changes over time: sorting out the sorting processes. Environment and Planning A, 44, 705–722.

    Article  Google Scholar 

  • Beatty, C., & Cole, I. (2009). Stability, residential satisfaction and the dynamics of change: evidence from the New Deal for Communities programme in England. Journal of Urban Regeneration and Renewal, 3, 141–153.

    Google Scholar 

  • Beatty, C., Lawless, P., Pearson, S., & Wilson, I. (2009). Residential mobility and outcome change in deprived areas: Evidence from the New Deal for Communities Programme. London: Department for Communities and Local Government.

    Google Scholar 

  • Boheim, R., & Taylor, M. P. (2002). Tied down or room to move? Investigating the relationships between housing tenure, employment status and residential mobility in Britain. Scottish Journal of Political Economy, 49, 369–392.

    Article  Google Scholar 

  • Boyle, P. (1994). Metropolitan out-migration in England and Wales, 1980–81. Urban Studies, 31, 1707–1722.

    Article  Google Scholar 

  • Boyle, P., Halfacree, K., & Robinson, V. (1998). Exploring contemporary migration. Harlow: Longman.

    Google Scholar 

  • Bramley, G., & Pawson, H. (2002). Low demand for housing: Incidence, causes and UK national policy implications. Urban Studies, 39, 393–422.

    Article  Google Scholar 

  • Champion, A. G. (Ed.). (1989). Counterurbanization: the changing pace and nature of population deconcentration. London: Edward Arnold.

    Google Scholar 

  • Champion, T., Fotheringham, A. S., Rees, P., Boyle, P., & Stillwell, J. (1998). The determinants of migration flows in England: a review of existing data and evidence a report prepared for the department of the environment, transport and the regions. Newcastle upon Tyne: Department of Geography, University of Newcastle upon Tyne.

    Google Scholar 

  • Champion, T., Coombes, M., Raybould, S., & Wymer, C. (2007). Migration and socioeconomic change: a 2001 Census analysis of Britain’s larger cities. Bristol: Policy Press.

    Google Scholar 

  • Charlton, M., & Fotheringham, A. S. (2009). Geographically weighted regression: a tutorial on using GWR in ArcGIS 9.3 [online] http://ncg.nuim.ie/ncg/GWR/GWR_Tutorial.pdf (accessed 23 May 2012).

  • Congdon, P. (2010). Random-effects models for migration attractivity and retentivity: a Bayesian methodology. Journal of the Royal Statistical Society: Series A (Statistics in Society), 173, 755–774.

    Article  Google Scholar 

  • Conley, T. G., & Topa, G. (2002). Socio-economic distance and spatial patterns in unemployment. Journal of Applied Econometrics, 17, 303–327.

    Article  Google Scholar 

  • DCLG (2007). Generalised land use database statistics for England 2005. Department for Communities and 563 Local Government, [online] http://www.communities.gov.uk/documents/planningandbuilding/pdf/564154941.pdf (accessed 23 May 2012).

  • Duranton, G., & Monastiriotis, V. (2002). Mind the gaps: the evolution of regional earnings inequalities in the UK, 1982–1997. Journal of Regional Science, 42, 219–256.

    Article  Google Scholar 

  • DWP (n.d). Client group analysis statistics. Department for Work and Pensions, [online] http://research.dwp.gov.uk/asd/index.php?page=cga (accessed 23 May 2012).

  • ESRI (2008). Natural breaks (Jenks) [online] http://webhelp.esri.com/arcgiSDEsktop/9.3/index.cfm?TopicName=Natural_breaks_%28Jenks%29 (accessed 24 June 2011).

  • Faggian, A., & McCann, P. (2009). Human capital, graduate migration and innovation in British regions. Cambridge Journal of Economics, 33, 317–333.

    Article  Google Scholar 

  • Finney, N., & Simpson, L. (2008). Internal migration and ethnic groups: evidence for Britain from the 2001 Census. Population Space and Place, 14, 63–83.

    Article  Google Scholar 

  • Fotheringham, A. S., Champion, T., Wymer, C., & Coombes, M. (2000). Measuring destination attractivity: a migration example. International Journal of Population Geography, 6, 391–421.

    Article  Google Scholar 

  • Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically weighted regression: The analysis of spatially varying relationships. Chichester: Wiley.

    Google Scholar 

  • Fotheringham, A. S., Rees, P., Champion, T., Kalogirou, S., & Tremayne, A. R. (2004). The development of a migration model for England and Wales: overview and modelling out-migration. Environment and Planning A, 36, 1633–1672.

    Article  Google Scholar 

  • Halfacree, K. (2008). To revitalise counterurbanisation research? Recognising an international and fuller picture. Population, Space and Place, 14, 479–495.

    Google Scholar 

  • Hamnett, C. (2009). Spatially displaced demand and the changing geography of house prices in London, 1995–2006. Housing Studies, 24, 301–320.

    Article  Google Scholar 

  • Holly, S., Pesaran, M. H., & Yamagata, T. (2011). The spatial and temporal diffusion of house prices in the UK. Journal of Urban Economics, 69, 2–23.

    Article  Google Scholar 

  • Jivraj, S. (2011). The effect of internal migration on the socioeconomic composition of neighbourhoods in England, Ph.D. dissertation. University of Manchester.

  • Li, W. J., Holm, E., & Lindgren, U. (2009). Attractive vicinities. Population Space and Place, 15, 1–18.

    Article  Google Scholar 

  • Martin, D. (2002). Geography for the 2001 Census in England and Wales. Population Trends, 108, 7–15.

    Google Scholar 

  • McCormick, B. (1997). Regional unemployment and labour mobility in the UK. European Economic Review, 41, 581–589.

    Article  Google Scholar 

  • Nelson, P. B. (2008). Life-course influences on nonearnings income migration in the United States. Environment and Planning A, 40, 2149–2168.

    Article  Google Scholar 

  • Pearson, S., & Lawless, P. (2012). Population mobility in regeneration areas: trends, drivers, and implications; evidence from England’s New Deal for Communities Programme. Environment and Planning A, 44, 2023–2039.

    Article  Google Scholar 

  • Pineda Jaimes, N. B., Bosque Sendra, J., Gómez Delgado, M., & Franco Plata, R. (2010). Exploring the driving forces behind deforestation in the state of Mexico (Mexico) using geographically weighted regression. Applied Geography, 30, 576–591.

    Article  Google Scholar 

  • Robson, B., Lymperopoulou, K., & Rae, A. (2008). People on the move: exploring the functional roles of deprived neighbourhoods. Environment and Planning A, 40, 2693–2714.

    Article  Google Scholar 

  • SEU. (2001). A new commitment to neighbourhood renewal: National Strategy Action Plan Social Exclusion Unit. London: Cabinet Office.

    Google Scholar 

  • Simpson, L., Marquis, N., & Jivraj, S. (2010). International and internal migration measured from the School Census in England. Population Trends, 140, 106–124.

    Article  Google Scholar 

  • South, S. J., & Crowder, K. D. (1997). Residential mobility between cities and suburbs: race, suburbanization, and back-to-the-city moves. Demography, 34, 525–538.

    Google Scholar 

  • Wheeler, D. C. (2007). Diagnostic tools and a remedial method for collinearity in geographically weighted regression. Environment and Planning A, 39, 2464–2481.

    Article  Google Scholar 

  • Wheeler, D., & Tiefelsdorf, M. (2005). Multicollinearity and correlation among local regression coefficients in geographically weighted regression. Journal of Geographical Systems, 7, 161–187.

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank Alfonso Echazarra, Paul Norman and three anonymous referees for providing useful comments on an earlier version of this paper. We also acknowledge the ESRC PhD studentship upon which this paper is based. Finally, we would like to thank the Department for Education for access to the School Census.

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Correspondence to Stephen Jivraj.

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Jivraj, S., Brown, M. & Finney, N. Modelling Spatial Variation in the Determinants of Neighbourhood Family Migration in England with Geographically Weighted Regression. Appl. Spatial Analysis 6, 285–304 (2013). https://doi.org/10.1007/s12061-013-9087-6

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