Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 411

The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.

Firms in Territories: A Relational Perspective*

Dicken, Peter, Malmberg, Anders·2001·Economic Geography

Abstract

Abstract: The role of space and place in shaping the transformation of firms and industries and the impact of such transformations on the wider processes of territorial development at local, regional, national, and global scales are basic research issues in economic geography. Such analyses tend to be compartmentalized, focusing on a specific economic activity or on a specific territory, rather than on the relationships between them. It is difficult simultaneously to conceptualize economic activities (including such phenomena as firms, industries, and other types of systems of networked economic activity), on the one hand, and territorially defined economies, on the other. In this paper, we address the interconnections between economic activities and territories through an exploration of the mutually constitutive relationships between firms and territories: the firm‐territory nexus. The focus of our analysis is the nexus of three major dimensions—firms, industrial systems, and territories—embedded in turn in the overall macro dimension of governance systems.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1944-8287.2001.tb00169.x

Cites

68 of 68 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 68 references

Cited by

See all 411

Metadata

Authors
Dicken, P., & Malmberg, A.
Venue
Economic Geography
Publisher
Wiley
Published
2001-10
Volume
77
Issue
4
Pages
345-363
ISSN
  • 0013-0095 (ISSN-L)
  • 1944-8287
OpenAlex
W1969939313
Cited by
411
References
68
FWCI
31.32
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Firms in Territories: A Relational Perspective*. https://app.cochat.ai/papers/10.1111/j.1944-8287.2001.tb00169.x
The paper
Dicken, P., & Malmberg, A. (2001). Firms in Territories: A Relational Perspective*. Economic Geography. https://doi.org/10.1111/j.1944-8287.2001.tb00169.x

Data sources

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.