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Cited by 329

The DOI matches its Crossref record; 167 of the 167 references it cites were found in a registry or an index.

The boundaries of urban metabolism: Towards a political–industrial ecology

Newell, Joshua P., Cousins, Joshua J.·2015·Progress in Human Geography

Abstract

This paper considers the limits and potential of ‘urban metabolism’ to conceptualize city processes. Three ‘ecologies’ of urban metabolism have emerged. Each privileges a particular dimension of urban space, shaped by epistemology, politics, and model-making. Marxist ecologies theorize urban metabolism as hybridized socio-natures that (re)produce uneven outcomes; industrial ecology, as stocks and flows of materials and energy; and urban ecology, as complex socio-ecological systems. We demarcate these scholarly islands through bibliometric analysis and literature review, and draw on cross-domain mapping theory to unveil how the metaphor has become stagnant in each. To reinvigorate this research, the paper proposes the development of political–industrial ecology, using urban metabolism as a boundary metaphor.

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Crossref · 10.1177/0309132514558442

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Metadata

Authors
Newell, J. P., & Cousins, J. J.
Venue
Progress in Human Geography
Published
2014-12-05
Volume
39
Issue
6
Pages
702-728
ISSN
  • 0309-1325 (ISSN-L)
  • 1477-0288
OpenAlex
W2068398532
Cited by
329
References
167
FWCI
12.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The boundaries of urban metabolism: Towards a political–industrial ecology. https://app.cochat.ai/papers/10.1177/0309132514558442
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Newell, J. P., & Cousins, J. J. (2015). The boundaries of urban metabolism: Towards a political–industrial ecology. Progress in Human Geography. https://doi.org/10.1177/0309132514558442

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.