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Cited by 166

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Trust and Networking in Inter-firm Relations: the Case of Eco-industrial Development

Gibbs, David·2003·Local Economy: The Journal of the Local Economy Policy Unit

Abstract

Despite much rhetoric concerning the implementation of sustainable development within local and regional economic development strategies, very few concrete examples exist of projects that combine economic, social and environmental aims. However, recently, a number of developments have occurred, based around ideas drawn from industrial ecology. These ecoindustrial parks seek to reduce environmental impacts, while at the same time improving business competitiveness and creating jobs. Eco-industrial parks rely upon creating networks of material and by-product flows between participating firms. However, it is frequently assumed that the trust and cooperation between firms that this involves will arise automatically. In this paper it is argued that a much more nuanced approach is needed, drawing upon work in economic geography and regional economics on trust, networking and untraded interdependencies.

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Crossref · 10.1080/0269094032000114595

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Metadata

Authors
Gibbs, D.
Venue
Local Economy: The Journal of the Local Economy Policy Unit
Published
2003-08
Volume
18
Issue
3
Pages
222-236
ISSN
  • 0269-0942 (ISSN-L)
  • 1470-9325
OpenAlex
W2167558890
Cited by
166
References
1
FWCI
8.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Trust and Networking in Inter-firm Relations: the Case of Eco-industrial Development. https://app.cochat.ai/papers/10.1080/0269094032000114595
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Gibbs, D. (2003). Trust and Networking in Inter-firm Relations: the Case of Eco-industrial Development. Local Economy: The Journal of the Local Economy Policy Unit. https://doi.org/10.1080/0269094032000114595

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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.