 Innovative measurement of spatial segregation: Comparative evidence from Hong Kong and San FranciscoPaavo Monkkonen and Xiaohu Zhang Regional Science and Urban Economics, 2014, vol. 47, issue C, 99-111 Abstract: The spatial distribution of households of different socioeconomic groups in urban areas has drawn longstanding attention from scholars because residential location patterns have important impacts on social outcomes and the economic efficiency of cities. Recent comparative work on this topic has yielded some insight into the causes and consequences of segregation patterns, but much of this comparison is indirect. An explicitly spatial version of the entropy index has recently been developed that facilitates comparison, as it allows for the disaggregation of segregation levels by scale and income (Reardon and O'Sullivan, 2004; Reardon, 2009; Reardon and Bischoff, 2011). This paper applies these new measurement techniques to two metropolises; Hong Kong and San Francisco. Although overall segregation levels are similar, the shape of the segregation profile across geographic scales and the income distribution is quite different. The paper also includes a script for calculating spatial ordinal segregation indices in ArcGIS. Keywords: Segregation; Spatial analysis; Income inequality; Urban spatial structure; Hong Kong; China (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:regeco:v:47:y:2014:i:c:p:99-111 DOI: 10.1016/j.regsciurbeco.2013.09.016 Access Statistics for this article Regional Science and Urban Economics is currently edited by D.P McMillen and Y. Zenou More articles in Regional Science and Urban Economics from Elsevier |
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