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Productivity growth and convergence across China's industrial economy
Abstract
Using a firm-level data set for 1998 and 2005 including all of China's ‘above designated size’ enterprises that together account for more than 85% of China's industrial output, this paper investigates three issues. One key issue in China's industrial system is the extent to which growth has been driven by productivity change. A second issue is the relative productivity performance of enterprises of different ownership types, including a comparison of state-owned versus various forms of non-state ownership. The third issue is whether productivity across China's key regions–coast, northeast, central, and west–exhibits convergence or divergence. One key finding that cuts across all three issues is the exceptional contribution to productivity growth made by exiting and entering firms, much of which is associated with restructuring. During 1998–2005, the phenomenon of firm exit and entry contributed substantially to China's overall industrial productivity growth, to the relatively rapid growth of state industry productivity, and to substantial productivity catch-up with the coastal region by many of the interior provinces.
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Citations
Cited by
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
Qiu, S., Wang, Z., & Geng, S. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.112282 · Cited by 299
Metadata
- Authors
- Jefferson, G. H., Rawski, T. G., & Zhang, Y.
- Venue
- Journal of Chinese Economic and Business Studies
- Publisher
- Informa UK Limited
- Published
- 2008-05
- Volume
- 6
- Issue
- 2
- Pages
- 121-140
- ISSN
- 1476-5284 (ISSN-L)
- 1476-5292
- OpenAlex
- W2025333992
- Cited by
- 202
- References
- 0
- FWCI
- 23.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jefferson, G. H., Rawski, T. G., & Zhang, Y. (2008). Productivity growth and convergence across China's industrial economy. Journal of Chinese Economic and Business Studies. https://doi.org/10.1080/14765280802028237
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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.