A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies

By G. Battese, D. Rao, C. O'Donnell. 2004

1,288 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/8198c189f6059c64fc03e59a9a81a88cfb6d04bc

How researchers see this paper

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In Economics and Econometrics

1. Ning Zhang
2. Peng Zhou
3. Dequn Zhou
4. Chao Feng
5. Limin Du
6. Qunwei Wang
7. Aoife Hanley
8. Chu Wei

In Management Science and Operations Research

1. Ning Zhang
2. Peng Zhou
3. Dequn Zhou
4. Limin Du
5. Chao Feng
6. Chu Wei
7. Aoife Hanley
8. Qunwei Wang

Citations in the corpus

• Explaining agricultural productivity growth: an international perspective (2010, methodology): “As reported here, SFA methods show some advantages over the more commonly used DEA techniques, and other improvements could also be explored such as the use of differentiated " local " technology frontiers rather than a single global frontier (e.g., Battese and Rao, 2002; Battese et al., 2004).”
• Efficiency in education: a review of literature and a way forward (2017, neutral): “In some way, this intertemporal aspect is similar to ideas in a metafrontier framework (Battese et al, 2004).”
• Sources of production inefficiency and productivity growth in China: A global data envelopment analysis (2015, positive): “However, according to Battese et al. (2004), Huang et al.”
• Technical efficiency and metatechnology ratios for dairy farms in three southern cone countries: a stochastic meta-frontier model (2010, positive): “, Cobb-Douglas (CD) or translog (TL)) and the model can be written as (Battese et al. 2004):”
• When Is Metafrontier Analysis Appropriate? An Example of Varietal Differences in Pistachio Production in Iran (2010, methodology): “Equation (2) allows us to examine the performance of the i-th farm relative to the individual group frontier.”
• A new approach to estimating the metafrontier production function based on a stochastic frontier framework (2014, methodology): “The novelty of the new approach is in the treatment of metafrontier estimation under the framework of standard stochastic frontier analysis, which is contrary to the popular mathematical programming approach of Battese et al. (2004) and O’Donnell et al.”
• The sources of bank productivity growth in China during 2002-2009: A disaggregation view (2012, background): “Battese et al. (2004) argue that firms in different groups may”
• Are small firms less efficient? (2009, background): “Recently, the stochastic metafrontier model developed by Battese and Rao (2002) provides an alternative approach by which comparable technical efficiencies can be estimated.”
• Decomposition of the environmental inefficiency of the meta-frontier with undesirable output (2012, methodology): “Therefore, some articles employ geographical location to classify countries into different groups (Battese et al., 2004; O’Donnell et al., 2008; Oh and Lee, 2010).”
• Is There a Single Frontier in a Single European Banking Market? (2007, background): “17 We analyze banks from 15 countries, most of which are at present member 16 Estimating meta-frontiers can be precarious (cf. Battese et al. (2004).”