Restructuring, productivity and technical efficiency in China’s iron and steel industry, 1988–2000

Movshuk, Oleksandr

doi:10.1016/j.asieco.2003.12.005

Cited by 55 publications

(31 citation statements)

References 18 publications

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“…The MPI that decomposes productivity into efficiency and technological change has also been applied in Ma et al (2002) and Movshuk (2004). Studies on the productivity and efficiency performance of individual industries in China have been conducted by Jefferson (1990) and Mu and Lee (2005), while Yao et al (2007) and Sun et al (1999) agreed that SFA and DEA are the more effective approach to measure the technical efficiency of industries.…”

Section: Introductionmentioning

confidence: 99%

An analysis on technical efficiency in post-reform China

Zhou¹,

2011

China Economic Review

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Abstract:This paper employs a fully nonparametric stochastic frontier model with time and individual effects to study technical efficiency in China's post-reform economy. The panel data cover China's thirty provinces for the period of 1985-2008. The empirical results show that the average output elasticity of labor is larger than the other two inputs of capital and human capital. Based on the specified inefficiency Tobit model, the factor analysis on technical efficiency shows that the time effects of technical efficiency in China's post-reform economy are significantly contingent on the factors. There exists significant regional differences in technical efficiency in China's economic development, and a number of policy implications can be drawn.

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Section: Introductionmentioning

confidence: 99%

An analysis on technical efficiency in post-reform China

Zhou¹,

2011

China Economic Review

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“…Kalirajan and Cao (1993) look at the effect of economic reform on Chinese enterprise performance and (Wu 1995) uses a time-varying production model to measure the production efficiency of iron and steel mills. This approach is also used to evaluate the effect of major reforms on enterprise performance by Movshuk (2004). The noted literatures clearly demonstrate that the stochastic frontier approach is an important and appropriate tool for measuring technical, allocative as well as economic performance of both agriculture and industrial sectors.…”

Section: Introductionmentioning

confidence: 99%

Technical Efficiency of Agricultural Farms in Khulna, Bangladesh: Stochastic Frontier Approach

Haider

Ahmed²,

Mallick³

2011

IJEF

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This paper uses the stochastic frontier approach to measure technical efficiency level of the agricultural farms of Khulna, Bangladesh. It considers three sub-sectors: rice cultivation, fish cultivation and livestock rearing. About 76%, 81%, and 73% variations in output are due to technical inefficiency for the farms of the three sub-sectors, respectively. The highest variation in output (due to inefficiency) is found in the fish cultivation sub-sector. The sample farms are operating at an inefficient level and the inefficiency level decreases over time for the sub-sectors. The farming experience of the farmers and the availability of the credits significantly and positively affect the efficiency level of the farms. This study finds the necessity of redefining and redesigning the credit instrument for maintaining sustainability in the long run. It is also found that all the three sub-sectors have a chance to increase their production level with the same set of technology.

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“…6. Despite corporatization, the central and local governments continued to dominate production and ownership in the steel industry, with only a small percentage of shares of publicly listed companies available to outside interests and little foreign investment (Movshuk 2004;Lardy 1998;Zhang and Zhang 2001). 7.…”

Section: Discussionmentioning

confidence: 98%

Is technology acquisition enough to improve China's product quality? Evidence from firm-level panel data

Fisher‐Vanden

Terry

2009

Economics of Innovation and New Technology

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As developing countries open themselves up to trade, many industrial firms in these countries are finding it difficult to compete internationally due to poor product quality and low product variety. Although China has been the largest producer of crude steel since 1996, China's steel firms have produced an overabundance of low-quality steel while domestic purchasers of steel have increasingly demanded higher quality steel products. Many have argued that for Chinese steel firms to improve product quality they must adopt more advanced technologies. Employing firm-level panel data of steel firms in China, we econometrically test the relative importance of two possible sets of factors affecting a firm's ability to utilize technology to improve product quality: technology acquisition factors and technology absorptive capacity factors. We find that technology complements such as in-house R&D and foreign knowledge must be combined with technology for Chinese firms to improve product quality.technological change, product quality, China,

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Restructuring, productivity and technical efficiency in China’s iron and steel industry, 1988–2000

Cited by 55 publications

References 18 publications

An analysis on technical efficiency in post-reform China

An analysis on technical efficiency in post-reform China

Technical Efficiency of Agricultural Farms in Khulna, Bangladesh: Stochastic Frontier Approach

Is technology acquisition enough to improve China's product quality? Evidence from firm-level panel data

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