Regional disparities and productivity in China: evidence from manufacturing micro data
Rizov, Marian and Zhang, Xufei 
ORCID: https://orcid.org/0000-0003-4111-6782
(2014)
Regional disparities and productivity in China: evidence from manufacturing micro data.
Papers in Regional Science, 93
(2)
.
pp. 321-340.
ISSN 1056-8190
[Article]
(doi:10.1111/pirs.12051)
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Abstract
In this paper we first estimate firm-specific total factor productivities within 2-digit manufacturing industries using a semi-parametric algorithm and micro data for the period 2000–2007. Next, to characterize regional disparities in China we compute aggregate productivity by the categories of three regional typologies, based on population density, coastal-inland, and rural-urban criteria. We analyse the productivity differentials across the categories of the typologies by decomposing regional productivity level and growth into productivity effect and industry composition effect. We find clear evidence of regional convergence. Besides density of economic activity, recent policy and structural factors seem to affect regional productivity level and growth differentials.
| Item Type: | Article |
|---|---|
| Keywords (uncontrolled): | Productivity, regional disparities, inequality, convergence, China, micro data |
| Research Areas: | A. > Business School > Economics A. > School of Science and Technology > Design Engineering and Mathematics |
| Item ID: | 13849 |
| Notes on copyright: | This is the peer reviewed version of the following article: Rizov, Marian and Zhang, Xufei (2014) Regional disparities and productivity in China: evidence from manufacturing micro data. Papers in Regional Science, 93 (2). pp. 321-340, which has been published in final form at http://dx.doi.org/10.1111/pirs.12051. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. |
| Useful Links: | |
| Depositing User: | Marian Rizov |
| Date Deposited: | 13 Nov 2014 17:03 |
| Last Modified: | 29 Nov 2022 23:31 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/13849 |
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