Understanding the ‘region’ in COVID-19-induced regional migration: mapping Cairns across classification systems

Dadpour, Rana, and Law, Lisa (2022) Understanding the ‘region’ in COVID-19-induced regional migration: mapping Cairns across classification systems. Australian Geographer, 53 (4). pp. 425-443.

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This paper unpacks the notion of ‘region’ in the current COVID-19 migration debate to understand how the city of Cairns, Queensland fits into a wider geography of internal urban-rural migration in Australia. It unpacks different constructions of ‘region’, showing how they often articulate ‘access’, ‘rural’ and ‘remote’ and a general sense of non-urban entities. We discuss the imagined geographies of different Australian regional classification systems such as the Australian Statistical Geography Standard (ASGS), Rural, Remote and Metropolitan Area (RRMA) and Modified Monash Model (MMM). We show how definitions and classifications of ‘region’ are constructed in particular ways to address political and social issues such as economic development, health, immigration and wider policy-making agendas. The analysis deployed develops a framework for understanding key dimensions of regionality relevant to migration to Cairns in the COVID-19 moment. A critical interpretive analysis helps shed light on the importance of place/context in relation to Australia’s recent urban--rural internal migration debate, but also provides insights to the counter-urbanisation debate in terms of displacing notions of the ‘rural idyll’.

Item ID: 73719
Item Type: Article (Research - C1)
ISSN: 1465-3311
Keywords: migration; region; regional migration; Cairns; COVID-19; regional classifications
Copyright Information: © 2022 Geographical Society of New South Wales Inc.
Date Deposited: 14 Jun 2022 02:10
FoR Codes: 44 HUMAN SOCIETY > 4406 Human geography > 440601 Cultural geography @ 50%
44 HUMAN SOCIETY > 4406 Human geography > 440609 Rural and regional geography @ 50%
SEO Codes: 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280123 Expanding knowledge in human society @ 100%
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