The DOI matches its Crossref record.
The state and economic involution: Russia through a China lens
Overview
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Citations
Cited by
The Great Urban Transformation: Politics of Land and Property in China
Hsing, Y.-T. (2010) · doi:10.1093/acprof:oso/9780199568048.001.0001 · Cited by 732
Urban Transformation in China, 1949 – 2000: A Review and Research Agenda
Ma, L. J. C. (2002) · Environment and Planning A: Economy and Space · doi:10.1068/a34192 · Cited by 432
Rural‐urban migration and gender division of labor in transitional China
Fan, C. C. (2003) · International Journal of Urban and Regional Research · doi:10.1111/1468-2427.00429 · Cited by 306
(2005) · Cited by 4
Metadata
- Authors
- Burawoy, M.
- Venue
- World Development
- Publisher
- Elsevier BV
- Published
- 1996-06
- Volume
- 24
- Issue
- 6
- Pages
- 1105-1117
- ISSN
- 0305-750X (ISSN-L)
- OpenAlex
- W2140665280
- Cited by
- 209
- References
- 0
- FWCI
- 23.67
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The state and economic involution: Russia through a China lens. https://app.cochat.ai/papers/10.1016/0305-750x(96)00022-8
- The paper
- Burawoy, M. (1996). The state and economic involution: Russia through a China lens. World Development. https://doi.org/10.1016/0305-750x(96)00022-8
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.