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A systematic analysis of the spatial migration patterns and the linkages between market components in Greater Manchester, United Kingdom

Le-Vinh-Lam Doan (Planning Department, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam)
Adipandang Yudono (Department of Urban and Regional Planning, Faculty of Engineering, Brawijaya University, Malang, Indonesia)

International Journal of Housing Markets and Analysis

ISSN: 1753-8270

Article publication date: 16 August 2021

Issue publication date: 1 December 2022

134

Abstract

Purpose

This paper aims to bring together research on housing market area, submarket and household migration into a systems approach that helps us gain a better understanding of the structure and dynamics of a housing market and identify housing problems for a large metropolitan area.

Design/methodology/approach

The paper uses a geographic information system (GIS)-based method with simple quantitative techniques, including spatial analysis, location analysis, house price clustering and cross-tabulation. The analysis is based on migration data from the 2011 Census, house price data from the Land Registry in 2011 for Greater Manchester at the ward level and the output areas level.

Findings

The results show that different submarkets and housing market areas had different patterns of spatial migration and connections with other areas. Through a systematic analysis of migration and house price in combination, it also found a close connection between destination submarkets and the ages of migrants and identified specific problematic patterns for a large metropolitan area.

Research limitations/implications

The interactions between the owner-occupied sector and the social and private rented sectors are arguably an important omission from the analysis. Also, it is acknowledged that clustering ward units based on price differentials is subject to distortions in terms of specification, size and shape. Moreover, the use of the large samples may result in very small p-values, leading to the problem of the rejection of the predefined hypothesis.

Practical implications

A systematic analysis of migration and house price in combination may be used to gain a better understanding of the housing market dynamics and identify housing problems systematically for a large metropolitan. It may help to identify low-demand areas, high-demand areas and assist planners with decisions in allocating suitable land for new housing constructions.

Social implications

The GIS-based method introduced in the paper could be considered as an effective approach to provide a better basis for determining policy interventions and public investment designed to allocate land resources effectively and improve transport systems to change existing problematic migration patterns.

Originality/value

This paper fills a gap in the international literature in relation to adopting a systems approach that analyses migration and house price data sets in combination to systematically explore migration patterns and linkages and identify housing problems for a large metropolitan area. This systems approach can be applied in any metropolitan area where migration and house price data are available.

Keywords

Acknowledgements

Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

This paper was written based on a part of the PhD thesis.

Doan, L.V. Lam (2017) A Systems Approach to Housing Market Analysis: The Role of Search and Migration in Market Dynamics in Greater Manchester. PhD thesis, University of Sheffield.

Citation

Doan, L.-V. and Yudono, A. (2022), "A systematic analysis of the spatial migration patterns and the linkages between market components in Greater Manchester, United Kingdom", International Journal of Housing Markets and Analysis, Vol. 15 No. 5, pp. 995-1018. https://doi.org/10.1108/IJHMA-04-2021-0045

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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