Shan Yu

Doctor of Philosophy (DPhil) in Geography and the Environment

Supervisors: Professor Danny Dorling and Professor Anna Lora-Wainwright

Spatiotemporal dynamics of wealth inequality in China and the UK, geographical and demographic reshaping

Academic Profile

Shan Yu is a DPhil candidate at the School of Geography and the Environment and St Antony’s College. Her academic background spans geography, urban studies, economics and management. Before joining Oxford, she completed an MPhil in Land Economy at the University of Cambridge.

Her research takes an interdisciplinary and spatial approach to understanding how economic and urban development shape social inequalities across places and populations. Drawing on quantitative analysis, large-scale datasets and spatial methods, she examines the uneven geographies of development and how social and economic processes are reflected in urban environments and household circumstances. Her research interests span urban and regional development, the built environment and public health, and housing and wealth.

Her doctoral research examines the changing geography of wealth inequality in China and the UK. By bringing geographical and demographic perspectives to the study of household wealth, she seeks to understand how inequalities evolve across different institutional and spatial contexts.

Shan has contributed to a range of national and international research projects addressing topics including urban-rural divides, housing, environmental change and social inequality. She has experience working with interdisciplinary research teams and applying quantitative and spatial methods to questions concerning cities, regions and households. At Oxford, she has worked as a teaching assistant at the Smith School of Enterprise and the Environment. She also serves as a peer reviewer for more than 20 academic journals across geography, economics and public health.

Selected Publications

The political economy of housing, wealth and inequality

Urban transformations, regional dynamics and spatial inequality

Urban analytics, built environments and public health