Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 347

The DOI matches its Crossref record.

Spatial Inequality and Development

Open access
·2005

Abstract

Drawing on data from 25 countries from all regions of the world, this book addresses questions that have become very important in recent years, as the spatial dimensions of inequality have begun to attract considerable policy interest; what is spatial inequality? Why does it matter? And what should be the policy response to it? In China, Russia, India, Mexico, and South Africa, as well as in most other developing and transition economies, spatial and regional inequality – of economic activity, incomes, and social indicators – is on the increase. Spatial inequality is a dimension of overall inequality, but it has added significance when spatial and regional divisions align with political and ethnic tensions to undermine social and political stability. Also important in the policy debate is a perceived sense that increasing internal spatial inequality is related to greater openness of economies and to globalization in general. Despite these important concerns, there is remarkably little systematic documentation of what has happened to spatial and regional inequality over the last twenty years. Correspondingly, there is insufficient understanding of the determinants of internal spatial inequality.

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 · 10.1093/0199278636.001.0001

Cites

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

Cited by

See all 347

Metadata

Published
2005-02-03
OpenAlex
W1827586593
Cited by
347
References
0
FWCI
15.52
Type
book
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: Spatial Inequality and Development. https://app.cochat.ai/papers/10.1093/0199278636.001.0001
The paper
Spatial Inequality and Development. (2005). https://doi.org/10.1093/0199278636.001.0001

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.