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Cited by 1,424

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Regional cohesion: evidence and theories of regional growth and convergence

Open access
Sala-i-Martin, Xavier X.·1996·European Economic Review
DOI 10.1016/0014-2921(95)00029-1
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Abstract

After arguing that the concepts of β-convergence and σ-convergence are independently interesting, this paper extends the empirical evidence on regional growth and convergence across the United States, Japan, and five European nations. We confirm that the estimated speeds of convergence are surprisingly similar across data sets: regions tend to converge at a speed of approximately two percent per year. We also show that the interregional distribution of income in all countries has shrunk over time. We then argue that, among the proposed potential explanations of this phenomenon, the one-sector neoclassical growth model (with no capital mobility or with partial capital mobility) and the hypothesis of technological diffusion seem to be the ones which survive scrutiny.

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Metadata

Authors
Sala-i-Martin, X. X.
Venue
European Economic Review
Publisher
Elsevier BV
Published
1996-06
Volume
40
Issue
6
Pages
1325-1352
ISSN
0014-2921 (ISSN-L)
DOI
10.1016/0014-2921(95)00029-1
OpenAlex
W2069252930
Cited by
1,424
References
33
FWCI
71.47
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Regional cohesion: evidence and theories of regional growth and convergence. https://app.cochat.ai/papers/10.1016/0014-2921(95)00029-1
The paper
Sala-i-Martin, X. X. (1996). Regional cohesion: evidence and theories of regional growth and convergence. European Economic Review. https://doi.org/10.1016/0014-2921(95)00029-1

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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.