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Productivity and efficiency of state-owned enterprises in China

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Abstract

The purpose of this paper is to evaluate the variations in SOE efficiency and productivity from the perspectives of macroeconomic fluctuations and systematic reform in China during 1986–2003. We use Data Envelopment Analysis to measure SOE efficiency. Subsequently, we use the Malmquist Index of Productivity change to measure productivity growth. The empirical results show that SOE efficiency and productivity exhibited obvious improvements during periods of strong systematic reform and a prosperous economy. The systematic reform after 1998 had a clear-cut impact on SOE performance.

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Notes

  1. The research results of Jefferson and Rawski were published in (starting from 1987) the Journal of Comparative Economics, Economic Development and Cultural Change, China Quarterly, and some native Chinese journals. These articles were collected in Zheng and Rawski (1993), Jefferson and Rawski (1996), and Jefferson et al. (1996).

  2. Nevertheless, some scholars suspected that these results were affected by measurement error in the data. For instance, intermediate input deflators over-deflated inputs, which resulted in an understatement of the quantity of intermediate inputs. At the same time, actual total output was overstated. Altogether these problems caused an over-statement of TFP. In addition, the deflator index of the industrial value added had a declining tendency in several years, which was also against the norm (Woo et al. 1993, 1994). In response to these criticisms, Jefferson et al. (1996) explained that the deflator index caused minor measurement error. The deflator index had a small impact on the SOE TFP even though its impact on township enterprises was relatively large. Thus the conclusion about the SOE’s TFP should be valid.

  3. Most value-added data of 1986–1991 were taken from China Provincial Statistical Yearbook while the data of 1992–2003 were from China Statistical Yearbook.

  4. The official term is state-owned and state-holding enterprises.

  5. DEA is founded on a production possibility set derived from four axioms (Yu et al. 1996; Chen 1997, chapter 4).

  6. These reforms focused on enhancing SOEs’ independence in the process of deregulation, taking the responsibility of disposing the operating profit or loss, and distributing rewards according to productivity.

  7. Note that the value in the supplementary model did not improve (see also Table 2).

  8. Due to a minor revision in China Statistical Yearbook in 1993 and a substantial revision in 1998 that relate to firm coverage and classifications, we allow for breaks between 1992–1993 and 1997–1998.

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Correspondence to Chu-Ping C. Vijverberg.

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Fu, FC., Vijverberg, CP.C. & Chen, YS. Productivity and efficiency of state-owned enterprises in China. J Prod Anal 29, 249–259 (2008). https://doi.org/10.1007/s11123-007-0078-y

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