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Cited by 304

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Regional Competitiveness and Territorial Capital: A Conceptual Approach and Empirical Evidence from the European Union

Camagni, Roberto, Capello, Roberta·2013·Regional Studies

Abstract

Camagni R. and Capello R. Regional competitiveness and territorial capital: a conceptual approach and empirical evidence from the European Union, Regional Studies. Today, a selective pattern of regional growth is emerging to differentiate single regions' growth and determine a varied mosaic of development stories. This fact calls for more stringent and selective interpretations of the different regional assets defining growth strategies for each region, city or territory: in short, what is increasingly called ‘territorial capital’, and its efficient exploitation. The paper inspects in depth the concept of territorial capital and it conceptually highlights all elements that are embedded in this concept. The novelty of the empirical exercise lies in the treatment of the entire European territory at the same time.

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Crossref · 10.1080/00343404.2012.681640

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Metadata

Authors
Camagni, R., & Capello, R.
Venue
Regional Studies
Published
2013-10
Volume
47
Issue
9
Pages
1383-1402
ISSN
  • 0034-3404 (ISSN-L)
  • 1360-0591
OpenAlex
W2149538963
Cited by
304
References
48
FWCI
61.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Regional Competitiveness and Territorial Capital: A Conceptual Approach and Empirical Evidence from the European Union. https://app.cochat.ai/papers/10.1080/00343404.2012.681640
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Camagni, R., & Capello, R. (2013). Regional Competitiveness and Territorial Capital: A Conceptual Approach and Empirical Evidence from the European Union. Regional Studies. https://doi.org/10.1080/00343404.2012.681640

Data sources

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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.