Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 318

The DOI matches its Crossref record.

What Difference Do Polarisation Measures Make? An Application to China

Zhang, X., Kanbur, R.·2001·Journal of Development Studies

Abstract

In recent years there has been much discussion of the difference between inequality and polarisation. The vast literature on inequality is held to miss out key features of distributional change, which are better described as changes in polarisation. Axioms have been proposed which capture some of these differences, and measures of polarisation, as distinct from inequality, have been suggested. The theoretical distinctions proposed in this literature are indeed interesting. But do the newly proposed measures of polarisation give different results in comparing societies over time? We address these questions for China, where dramatic increases in inequality and polarisation have been much discussed in the literature. We find that, contrary to theoretical expectation, the new measures of polarisation do not generate very different results from the standard measures of inequality. The paper ends by considering a different approach to polarisation which might better conform to the policy concerns expressed in the specific context of China.

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 · 10.1080/00220380412331321981

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 318

Metadata

Authors
Zhang, X., & Kanbur, R.
Venue
Journal of Development Studies
Published
2001-02
Volume
37
Issue
3
Pages
85-98
ISSN
  • 0022-0388 (ISSN-L)
  • 1743-9140
OpenAlex
W1978011186
Cited by
318
References
0
FWCI
35.36
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: What Difference Do Polarisation Measures Make? An Application to China. https://app.cochat.ai/papers/10.1080/00220380412331321981
The paper
Zhang, X., & Kanbur, R. (2001). What Difference Do Polarisation Measures Make? An Application to China. Journal of Development Studies. https://doi.org/10.1080/00220380412331321981

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.