Multi-scale Inequality and Segregation
Theory and Estimation
Gwilym Owen (University of Sheffield)
D.J. Manley (University of Bristol, TU Delft - Urban Studies)
Ron Johnston (University of Bristol)
Tim Birabi (University of Sheffield)
Hui Song (Hebei Institute of Statistical Science, Hebei)
Bifeng Wang (Ningbo University of Technology, Zhejiang)
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Abstract
This chapter explores multi-scale estimation methods as an important future direction for segregation research in China. We explain how these recently developed methods help address many longstanding problems in traditional index-based segregation research and open up new avenues of research on Chinese cities. We explain the conceptual framework underpinning multilevel analysis in the form of a series of propositions that capture the theoretical basis and outline why a multilevel approach to segregation is advantageous. We then illustrate how this approach can be applied to China using census data on Shijiazhuang, the capital city of Hebei Province. We use the model to consider segregation of different ethnic groups and of migrants versus non-migrants. We conclude with a discussion of our findings and our thoughts on future directions for research and the implications for policy.
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