Print Email Facebook Twitter Multi-scale Inequality and Segregation Title Multi-scale Inequality and Segregation: Theory and Estimation Author Owen, Gwilym (University of Sheffield) Manley, D.J. (TU Delft Urban Studies; University of Bristol) Johnston, Ron (University of Bristol) Birabi, Tim (University of Sheffield) Song, Hui (Hebei Institute of Statistical Science, Hebei) Wang, Bifeng (Ningbo University of Technology, Zhejiang) Contributor Pryce, G. (editor) Date 2021 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. Subject Index of dissimilarityIntersectionalityMultilevel segregationSegregation measurementSegregation theoryShijiazhuang, China To reference this document use: http://resolver.tudelft.nl/uuid:cfe09d4c-4486-4656-9fdd-497130378e1b DOI https://doi.org/10.1007/978-3-030-74544-8_11 Publisher Springer ISBN 978-3-030-74544-8 Source Urban Inequality and Segregation in Europe and China Series Urban Book Series, 2365-757X Part of collection Institutional Repository Document type book chapter Rights © 2021 Gwilym Owen, D.J. Manley, Ron Johnston, Tim Birabi, Hui Song, Bifeng Wang Files PDF Owen2021_Chapter_Multi_sc ... Segreg.pdf 539.38 KB Close viewer /islandora/object/uuid:cfe09d4c-4486-4656-9fdd-497130378e1b/datastream/OBJ/view