Left-behind neighbourhoods in old industrial regions

Journal article

Tierney, John, Weller, Sally, Barnes, Tom and Beer, Andrew. (2023). Left-behind neighbourhoods in old industrial regions. Regional Studies. 58(6), pp. 1192-1206. https://doi.org/10.1080/00343404.2023.2234942

Publication dates
Authors	Tierney, John, Weller, Sally, Barnes, Tom and Beer, Andrew
Abstract	This article focuses on the neighbourhoods and people that have been left behind in the economic transformation of two now-diversified old industrial regions: Geelong (Victoria) in Australia and Oshawa (Ontario) in Canada. Political discontent has found expression in different ways in the two locations. This, we contend, reflects policy frameworks that dampen the extent to which socio-spatial inequality and entrenched disadvantage generate discontent within regions. In assessing the factors producing this outcome, this article clarifies both the who, what and where of ‘left behindness’ and related regional policy responses.
Keywords	left-behind places; inequality; old industrial regions; discontent
Year	2023
Journal	Regional Studies
Journal citation	58 (6), pp. 1192-1206
Publisher	Routledge
ISSN	1360-0591
Digital Object Identifier (DOI)	https://doi.org/10.1080/00343404.2023.2234942
Scopus EID	2-s2.0-85167775624
Web address (URL)	https://www.tandfonline.com/doi/full/10.1080/00343404.2023.2234942
Open access	Published as ‘gold’ (paid) open access
Research or scholarly	Research
Page range	1192-1206
Funder	Research Training Program Scholarship (RTP), Australian Government
	Australian Research Council (ARC)
Publisher's version	OA_Tierney_2023_Left_behind_neighbourhoods_in_old_industrial.pdf License CC BY-NC-ND 4.0 File Access Level Open
Output status	Published
Online	11 Aug 2023
Publication process dates
Deposited	27 Sep 2023
ARC Funded Research	This output has been funded, wholly or partially, under the Australian Research Council Act 2001
Grant ID	SR200200446
Additional information	© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
	This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

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