Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 436

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Towards an explanation of regional specialization and industry agglomeration

Malmberg, Anders, Maskell, Peter·1997·European Planning Studies

Abstract

The main argument advanced in this paper is that proximity matters. Product innovations, new forms of organization or new skills are arrived at in interactive processes within industrial systems. Such systems are embedded in a broader cultural and institutional context. Everything else being equal, interactive collaboration will be less costly and more smooth, the shorter the distance between the participants. The benefits of proximity can be translated into a force of spatial agglomeration in relation to firms engaged in interactive learning. Thus, agglomerations of related economic activity are not just reminiscents of previously cost efficient spatial configurations, but are currently being recreated as a result of an increasing demand for rapid knowledge transfer between firms. In this finding, we argue, lies the foundation for explaining the observed durability in otherwise incomprehensible patterns of specialization and competitiveness between countries and regions.

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 · 10.1080/09654319708720382

Cites

6 of 6 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 6 references

Cited by

See all 436

Metadata

Authors
Malmberg, A., & Maskell, P.
Venue
European Planning Studies
Published
1997-02
Volume
5
Issue
1
Pages
25-41
ISSN
  • 0965-4313 (ISSN-L)
  • 1469-5944
OpenAlex
W2022722946
Cited by
436
References
6
FWCI
28.24
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: Towards an explanation of regional specialization and industry agglomeration. https://app.cochat.ai/papers/10.1080/09654319708720382
The paper
Malmberg, A., & Maskell, P. (1997). Towards an explanation of regional specialization and industry agglomeration. European Planning Studies. https://doi.org/10.1080/09654319708720382

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.