Qing is a final year PhD candidate and a Research Fellow at the School of Demography, Australian National University. Her research focuses on the integration of China-born immigrants in Australia. In her PhD thesis, Qing examined the distribution and migration of recent mainland Chinese immigrants in relation to their socioeconomic, political, and linguistic integration in Australia. Qing’s research interests are in the Chinese population in Australia, international migration to Australia and in the Asia Pacific region, demographic modelling, migration theory and modelling, population spatial analysis, and internal migration in China.
On the media:
Chinese immigration to Australia ABC Rear Vision
Australia reached a population milestone [in Mandarin] ABC Chinese News
- Migration theory and modelling
- Immigrants’ settlement and integration in the destination country (intermarriage, spatial patterns)
- Spatial analysis
- Multistate life table
- Chinese in Australia and Chinese diaspora
Spatial Integration of the China-born Immigrants in Australia: 1981-2016
Research assistant (2017-2019) in ARC Discovery project: Overcoming the problems of inconsistent migration data in the Asia Pacific
Research assistant (2015-2017) in ARC Discovery project: The demographic consequences of migration to, from and within Australia
Research assistant (2017) in NHMRC project: Accountable fertility treatment: An evidence-based framework for the provision of cost-effective, patient-centred fertility treatment in Australia
Research assistant (2015-2018) in three ACT Education Directorate consultancy projects: School Enrolment Feasibility Study for Molonglo and North Gungahlin, Review of School Enrolment Projection Methodology, and Demographic and mobility assessment for East Gungahlin.
Guan, Q. (2021) ‘Resettlement of China-born immigrants in Australia: Age, duration of stay and interstate migration’. Population, Space and Place, 27(3), e2388.
Raymer, J., Guan, Q., Norman, R., Ledger, W. and Chambers, G.M. (2020) ‘Projecting future utilization of medically assisted fertility treatments’, Population Studies, 74(1): 23-38.
Raymer, J., Guan, Q. and Ha, J. T. (2019) ‘Overcoming data limitations to obtain migration flows for ASEAN countries’, Asian and Pacific Migration Journal, 28(4): 385-414.
Abel, G., Raymer, J. and Guan, Q. (2019) ‘Driving Factors of Asian international migration flows’, Asian Population Studies, 15(3): 243-265.
Guan, Q. (2019) ‘Measuring the spatial integration of the China-born population in Australia, 1981-2016’, Journal of Population Research, 36(4): 319-346.
Raymer, J., Shi, Y., Guan, Q., Baffour, B. and Wilson, T. (2018) ‘The sources and diversity of migrant population change in Australia, 1981-2011’, Demography, 55(5): 1777-1802.
Raymer, J., Biddle, N. and Guan, Q. (2017) ‘A multiregional sources of growth model for school enrolment projections’, Australian Population Studies, 1(1): 26-40.
Qing is currently working on the ANU School of Demography - ACT Education Directorate joint research project "Integrated School Enrolment Modelling".
Grants and Scholarships:
2020 Australian Population Association Borrie Prize (best student paper), PhD category
2018 ANU Vice-Chancellor Higher Degree Research Travel Grant
2018 IUSSP travel grant for Asian Population Association conference workshop: Bayesian small-area estimation
2017 The Australian Population W.D. Borrie Prize, PhD category
2017 XXVIII IUSSP International Population Conference IPC2017 travel grant
2017-2020 Australian Government Research Training Program Scholarship
2008 Excellent Student Scholarship (top 10%), the University of International Relations
2020 - 2021 Guest lecturer, DEMO2020 Migration in the Modern World (undergraduate level), School of Demography
2018 - 2019 Guest lecturer and Computer Lab Instructor, DEMO8092 Life Course Analytics (postgraduate level), School of Demography
2017 Guest lecturer and Computer Lab Instructor, DEMO8092 Demographic Modelling (postgraduate level), School of Demography
2016 - 2018 Tutor, School of Demography
- 2018 - DEMO8063 Spatial Population Data Analysis (postgraduate level), one Computer Lab
- 2017 - DEMO8008 Principles of Population Analysis (postgraduate level), Computer Labs
- 2016 - tutorial help for postgraduate students in DEMO8008 Principles of Population Analysis and DEMO8091 Population Dynamics and Aging