China’s changing internal migration: patterns, causes, policy implications. China’s massive internal migration is no longer simply rural–urban and circular but highly diversified. The project aims to unravel that transition: its patterns, causes, and effects. Using 2020 census data and major longitudinal datasets, a China variant of Zelinsky’s classic mobility transition theory will be developed and deployed to identify underlying mechanisms. Among expected outcomes are powerful methods for asse ....China’s changing internal migration: patterns, causes, policy implications. China’s massive internal migration is no longer simply rural–urban and circular but highly diversified. The project aims to unravel that transition: its patterns, causes, and effects. Using 2020 census data and major longitudinal datasets, a China variant of Zelinsky’s classic mobility transition theory will be developed and deployed to identify underlying mechanisms. Among expected outcomes are powerful methods for assessing spatio-temporal migration patterns and causes, applicable to many economies especially in the Asia–Pacific. Benefits should include a new evidence base for migration and related urban–rural policy in China; and for Australia, policy inputs to improve prosperity through better relations with our biggest trading partner.Read moreRead less
Putting death in its place. The project aims to link 890,000 population records to place of residence from 1838 to 1930, to examine the relationships between where people live, mortality, life expectancy and health. Where people live impacts their life-course outcomes. Using novel matching techniques, the project expects to identify intergenerational changes and the spatial dynamics of inequality and social mobility. Expected outcomes include the creation of a public resource of linked data and ....Putting death in its place. The project aims to link 890,000 population records to place of residence from 1838 to 1930, to examine the relationships between where people live, mortality, life expectancy and health. Where people live impacts their life-course outcomes. Using novel matching techniques, the project expects to identify intergenerational changes and the spatial dynamics of inequality and social mobility. Expected outcomes include the creation of a public resource of linked data and a better understanding of long-run health and inequality. These should provide economic and social benefits by informing policy aimed at contemporary social and health challenges, enhancing our understanding of Australian history, and developing public resources.Read moreRead less