The DOI matches its Crossref record.
The Distribution of Income in China
Abstract
Based on original data obtained from a purpose-designed nationwide household sample survey, the volume contains studies of the overall distribution of income, inequality and poverty in rural areas, wa
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Citations
Cited by
Poverty and Inequality in India: A Re-Examination*
Deaton, A., & Drèze, J. (2005) · Reflections on the Right to Development · doi:10.4135/9788132102144.n7 · Cited by 560
Economic transformation and the gender earnings gap in urban China
Gustafsson, B., & Li, S. (2000) · Journal of Population Economics · doi:10.1007/s001480050140 · Cited by 337
Trends in the Gender Earnings Differential in Urban China, 1988–2004
Zhang, J., Han, J., Liu, P.-W., & Zhao, Y. (2008) · ILR Review · doi:10.1177/001979390806100205 · Cited by 147
Metadata
- Venue
- Palgrave Macmillan UK eBooks
- Publisher
- Palgrave Macmillan UK
- Published
- 1993
- OpenAlex
- W2055290123
- Cited by
- 295
- References
- 0
- FWCI
- 16.43
- Type
- book
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: The Distribution of Income in China. https://app.cochat.ai/papers/10.1007/978-1-349-23026-6
- The paper
- The Distribution of Income in China. (1993). Palgrave Macmillan UK eBooks. https://doi.org/10.1007/978-1-349-23026-6
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.