Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 955

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Who's right, Marshall or Jacobs? The localization versus urbanization debate

Open access
Beaudry, Catherine, Schiffauerova, Andrea·2009·Research Policy

Abstract

A large amount of literature provides empirical evidence in support of Marshall or Jacobs theories regarding the specialization or diversity effects on the economic performance of regions. This paper surveys these scholarly contributions and summarizes their results according to their similarities and differences. The reviewed empirical work presents a diverse picture of possible conditions and circumstances under which each kind of externalities could be at work. The wide breadth of findings is generally not explained by differences in the strength of agglomeration forces across industries, countries or time periods, but by measurement and methodological issues. The levels of industrial and geographical aggregation together with the choice of performance measures, specialization and diversity indicators are the main causes for the lack of resolution in the debate. The 3-digit industrial classification seems to be the level at which MAR and Jacobs effects are undistinguishable from one another, and this is often exacerbated by a high level of geographical aggregation.

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 · 10.1016/j.respol.2008.11.010

Cites

59 of 59 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 59 references

Cited by

See all 955

Metadata

Authors
Beaudry, C., & Schiffauerova, A.
Venue
Research Policy
Publisher
Elsevier BV
Published
2009-03
Volume
38
Issue
2
Pages
318-337
ISSN
0048-7333 (ISSN-L)
OpenAlex
W2164320561
Cited by
955
References
59
FWCI
44.74
Type
journal article
Language
en
Open access
green

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: Who's right, Marshall or Jacobs? The localization versus urbanization debate. https://app.cochat.ai/papers/10.1016/j.respol.2008.11.010
The paper
Beaudry, C., & Schiffauerova, A. (2009). Who's right, Marshall or Jacobs? The localization versus urbanization debate. Research Policy. https://doi.org/10.1016/j.respol.2008.11.010

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.