Understanding demographic and economic patterns in sparsely populated areas – a global typology approach-Reference-Cited by-同舟云学术

Understanding demographic and economic patterns in sparsely populated areas – a global typology approach

Published:2022-07-25 Issue: Volume: Page:1-20
ISSN:0435-3684
Container-title:Geografiska Annaler: Series B, Human Geography
language:en
Short-container-title:Geografiska Annaler: Series B, Human Geography

Author:

Karacsonyi David¹²,Taylor Andrew¹

Affiliation:

1. Charles Darwin University, Darwin, Australia

2. Geographical Institute Research Centre for Astronomy and Earth Sciences Hungarian Academy of Sciences, Budapest, Hungary

Funder

Australian Government, Research Training Program Scholarship

Publisher

Informa UK Limited

Subject

Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/04353684.2022.2103445

Reference85 articles.

1. ABS (Australian Bureau of Statistics). 2006. Australian Standard Geographical Classification (ASGC) Remoteness Structure (RA) Digital Boundaries. Accessed November 4, 2021 https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1259.0.30.0042006?OpenDocument.

2. null

3. ABS (Australian Bureau of Statistics). 2021. Regional Population, 2019-2020 Financial Year. Accessed December 20, 2021 https://www.abs.gov.au/statistics/people/population/regional-population/2019-20.

4. Alasia, A., F. Bédard, J. Bélanger, E. Guimond, and C. Penney. 2017. Measuring Remoteness and Accessibility - A Set of Indices for Canadian Communities. Statistics Canada.

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