Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis

Chen, Zhuo; Song, Shunfeng

doi:10.1016/j.chieco.2007.03.001

Cited by 137 publications

(71 citation statements)

References 16 publications

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“…On the contrary, a positive Z-variable is interpreted as potentially having a negative influence on efficiency (Brummer and Loy, 2000;Coelli et al, 2005). In the two-stage Tobit estimation however, conventional interpretation of regression parameters is applicable because the TE measure obtained from the optimisation process in the metafrontier estimation is used as the dependent variable in the subsequent Tobit model (Chen and Song, 2008). Thus, positive signs of variables in the metafrontier-Tobit model imply that such variables would increase efficiency.…”

Section: Resultsmentioning

confidence: 99%

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Assessment of technical efficiency and its determinants in beef cattle production in Kenya

Otieno¹,

Hubbard²,

Ruto³

2014

J. Dev. Agric. Econ.

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The stochastic metafrontier method is applied to estimate technical efficiency levels in beef cattle production in Kenya. Subsequently, a Tobit model is used to assess factors that might influence efficiency. Results show that the average efficiency level is 0.69, suggesting that there is considerable scope to improve beef production in Kenya. Considering the importance of the livestock enterprise to rural livelihoods and its potential role in poverty reduction, there is need for appropriate development strategies for enhanced efficiency. In particular, livestock development policies should focus on provision of technology-related services. For instance, promoting use of controlled cattle crossbreeding methods would enhance productivity gains. Effective institutional support is also necessary in order to improve efficiency, including improved access to market contracts, better farm management skills and off-farm income opportunities.

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Section: Resultsmentioning

confidence: 99%

“…However, there is a dearth of empirical literature on application of the SMTobit method, Chen and Song (2008) being an exception. The present study contributes to the literature by applying this approach to investigate TE and its determinants in beef cattle production in Kenya.…”

Section: Introductionmentioning

confidence: 99%

Assessment of technical efficiency and its determinants in beef cattle production in Kenya

Otieno¹,

Hubbard²,

Ruto³

2014

J. Dev. Agric. Econ.

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“…It is very interesting to notice that the meta-frontier approach has not yet been applied in the automobile-industry related research though it has been employed in many fields in the past decade such as Bos & Schmiedel (2007), Chen & Song (2008), Matawie & Assaf (2008) Kontolaimou & Tsekouras (2010), Lin (2011), Mariano et al (2011), and Chen & Yang (2011. This highlights the significance of applying the meta-frontier approach to scrutinize the efficiency of global automakers from an unexplored perspective.…”

Section: Literature Reviewmentioning

confidence: 99%

Which One is More Efficient? German or Japanese Automobile Industry: A Meta-frontier with Technology Gap Comparison

Liu¹,

Chen²

2016

IBR

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The goal of this paper is to compare the cost efficiency of the automobile industry in Germany and Japan during the period of 1980-2014 by applying the Meta-Frontier Cost Function. Despite the constant competition and the global automobile industry crisis during 2008-2010, only a few existing studies compare the efficiency of the industry cross countries. However, these all fail to address various types of technology adopted and the environment faced by automakers across countries. The meta-frontier model became a recognized and useful tool to evaluate technical efficiency of firms applying dissimilar technologies. Overall, the results signify that the cost efficiency of the German automobile industry by average is better than that of the Japanese one and the German one uses more superior production technique though it was lower the Japanese one in the 1980s. The difference reversed in the 1990s and has been enlarging since the 1990s to the end of the observation period.

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“…In this study, the translog functional form is used, which includes second order of input factors. Therefore, the translog functional form is able to express all effects of input factors (Chen and Song, 2008;Kneller and Stevens, 2003;Suh, 2009;Yang et al, 2013). The translog functional form is relatively flexible and data can be expressed in the form of a curve.…”

Section: Stochastic Frontier Analysismentioning

confidence: 99%

Measuring the efficiency of standardisation policy using meta-frontier analysis: a case of mobile platform standardisation

Kim

Lee

Hwang

2016

IJMC

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While Android and iOS are now prevalent platforms in the mobile ecosystem, some still argue one standardised mobile platform is necessary to ensure the efficiency of content providers. For this reason, it is pertinent to examine whether government-led standardisation policy for mobile platform standard, WIPI, was efficient to content providers in South Korea. This study categorises content providers into three groups according to the period of mobile platform technologies and measures efficiency of each group based on stochastic frontier analysis. The results show content providers using MNO-dependent mobile platform are most efficient. However, as a hypothesis that the production function for each group is identical is rejected, additional analysis using meta-frontier production function is conducted to compare different efficiency levels for each group. In this case, content providers using a standardised mobile platform are least efficient rather, and firms using MNO-independent mobile platforms are most efficient.Keywords: standardisation policy; mobile platform; wireless internet platform for interoperability; mobile content; productivity; efficiency; stochastic frontier analysis; meta-frontier analysis.Reference to this paper should be made as follows: Kim, H., Lee, D. and Hwang, J. (2016)

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Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis

Cited by 137 publications

References 16 publications

Assessment of technical efficiency and its determinants in beef cattle production in Kenya

Assessment of technical efficiency and its determinants in beef cattle production in Kenya

Which One is More Efficient? German or Japanese Automobile Industry: A Meta-frontier with Technology Gap Comparison

Measuring the efficiency of standardisation policy using meta-frontier analysis: a case of mobile platform standardisation

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