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Cited by 335

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Demographic transition, demographic dividend, and Lewis turning point in China

Cai, Fang·2010·China Economic Journal

Abstract

The disagreements on changed stages of demographic transition and the role of a demographic dividend in a dual economy development process often lead to wide debates among scholars about China's development stages. This paper tries to reveal the nexus between demographic transition and dual economy development: the common starting point, close-related processes, and identical characteristics of stages. Based on the empirical evidence of population dynamics, the paper supports the judgment of diminishing demographic dividends and an imminent Lewis turning point in China. The paper also argues that keeping a sustainable and steady economic growth, and becoming a high-income country as early as possible is the key and only way to close the ‘aging before affluence’ gap. Accordingly, the paper concludes by proposing measures to exploit the potential of the first demographic dividend, creating conditions for a second demographic dividend, and tapping new sources of economic growth.

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Metadata

Authors
Cai, F.
Venue
China Economic Journal
Published
2010-09-23
Volume
3
Issue
2
Pages
107-119
ISSN
  • 1753-8963 (ISSN-L)
  • 1753-8971
OpenAlex
W2042636082
Cited by
335
References
2
FWCI
35.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Demographic transition, demographic dividend, and Lewis turning point in China. https://app.cochat.ai/papers/10.1080/17538963.2010.511899
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Cai, F. (2010). Demographic transition, demographic dividend, and Lewis turning point in China. China Economic Journal. https://doi.org/10.1080/17538963.2010.511899

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.