The DOI matches its Crossref record; 228 of the 228 references it cites were found in a registry or an index.
From Divergence to Convergence: Reevaluating the History Behind China's Economic Boom
Open accessAbstract
China's long-term economic dynamics pose a formidable challenge to economic historians. The Qing Empire (1644–1911), the world's largest national economy before 1800, experienced a tripling of population during the seventeenth and eighteenth centuries with no signs of diminishing per capita income. While the timing remains in dispute, a vast gap emerged between newly rich industrial nations and China's lagging economy in the wake of the Industrial Revolution. Only with an unprecedented growth spurt beginning in the late 1970s did this great divergence separating China from the global leaders substantially diminish, allowing China to regain its former standing among the world's largest economies. This essay develops an integrated framework for understanding that entire history, including both the divergence and the recent convergent trend. We explain how deeply embedded political and economic institutions that contributed to a long process of extensive growth before 1800 subsequently prevented China from capturing the benefits associated with the Industrial Revolution. During the twentieth century, the gradual erosion of these historic constraints and of new obstacles erected by socialist planning eventually opened the door to China's current boom. Our analysis links China's recent development to important elements of its past, while using recent success to provide fresh perspectives on the critical obstacles undermining earlier modernization efforts, and their eventual removal. (JEL N15, N45, O11, O47, P21, P24, P26)
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.
Integrity signals
Registry
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.
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
Cites
Filders, R. (1992) · International Journal of Forecasting · doi:10.1016/0169-2070(92)90130-2 · Cited by 16,165
Capitalism, Socialism and Democracy
Fukuyama, F., & Schumpeter, J. A. (1997) · Foreign Affairs · doi:10.2307/20048211 · Cited by 15,264
The Logic of Collective Action: Public Goods and the Theory of Groups.
Sufrin, S. C., & Olson, M. (1966) · Industrial and Labor Relations Review · doi:10.2307/2521228 · Cited by 11,518
(2019) · AEA Papers and Proceedings · doi:10.1257/pandp.109.612 · Cited by 10,902
Polanyi, K. (2002) · Readings in Economic Sociology · doi:10.1002/9780470755679.ch4 · Cited by 6,208
Economic Backwardness in Historical Perspective.
Nove, A., & Gerschenkron, A. (1963) · Economica · doi:10.2307/2601558 · Cited by 4,183
Misallocation and Manufacturing TFP in China and India*
Hsieh, C.-T., & Klenow, P. J. (2009) · Quarterly Journal of Economics · doi:10.1162/qjec.2009.124.4.1403 · Cited by 4,175
Political turnover and economic performance: the incentive role of personnel control in China
Li, H., & Zhou, L.-A. (2005) · Journal of Public Economics · doi:10.1016/j.jpubeco.2004.06.009 · Cited by 3,668
Why nations fail: the origins of power, prosperity, and poverty
(2012) · Choice Reviews Online · doi:10.5860/choice.50-0390 · Cited by 3,643
Institutions as the Fundamental Cause of Long-Run Growth
Acemoglu, D., Johnson, S., & Robinson, J. (2004) · National Bureau of Economic Research · doi:10.3386/w10481 · Cited by 3,101
Cited by
The Fundamental Institutions of China's Reforms and Development
Xu, C. (2011) · Journal of Economic Literature · doi:10.1257/jel.49.4.1076 · Cited by 2,623
The China Shock: Learning from Labor-Market Adjustment to Large Changes in Trade
Autor, D. H., Dorn, D., & Hanson, G. H. (2016) · Annual Review of Economics · doi:10.1146/annurev-economics-080315-015041 · Cited by 1,305
Understanding China's Growth: Past, Present, and Future
Zhu, X. (2012) · Journal of Economic Perspectives · doi:10.1257/jep.26.4.103 · Cited by 586
Metadata
- Authors
- Brandt, L., Ma, D., & Rawski, T. G.
- Venue
- Journal of Economic Literature
- Publisher
- American Economic Association
- Published
- 2014-03-01
- Volume
- 52
- Issue
- 1
- Pages
- 45-123
- ISSN
- 0022-0515 (ISSN-L)
- 2328-8175
- OpenAlex
- W2146979256
- Cited by
- 286
- References
- 228
- FWCI
- 66.39
- Type
- journal article
- 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: From Divergence to Convergence: Reevaluating the History Behind China's Economic Boom. https://app.cochat.ai/papers/10.1257/jel.52.1.45
- The paper
- Brandt, L., Ma, D., & Rawski, T. G. (2014). From Divergence to Convergence: Reevaluating the History Behind China's Economic Boom. Journal of Economic Literature. https://doi.org/10.1257/jel.52.1.45
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.