Technology Gap, Efficiency, and a Stochastic Metafrontier Function

By G. Battese, D. Rao. 2002

618 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ef3c1e54b35c7fb28d77d1deafbbd6ef352d5edd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Boqiang Lin
2. Qunwei Wang
3. Yue‐Jun Zhang
4. Ke Li
5. Renato A. Villano
6. Peng Zhou
7. Ching-Ren Chiu
8. Dequn Zhou

Citations in the corpus

• A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies (2004, methodology): “Battese and Rao (2002) presented a stochastic metafrontier model by which comparable technical efficiencies can be estimated.”
• When Is Metafrontier Analysis Appropriate? An Example of Varietal Differences in Pistachio Production in Iran (2010, methodology): “…gap ratio (TGR) measures the ratio of the output for the frontier production function for the k-th group relative to the potential output that is defined by the metafrontier function, given the observed inputs (Battese and Rao, 2002; Battese et al., 2004); it has values between zero and one.”
• A metafrontier approach for measuring an environmentally sensitive productivity growth index (2010, unknown): “Battese and Rao (2002) introduced the concept of the metafrontier in order to solve for the incomparability of the performances of various groups.”
• Decomposition of the environmental inefficiency of the meta-frontier with undesirable output (2012, background): “In order to take technology heterogeneity into account in an analysis framework, Battese and Rao (2002) proposed the meta-frontier production function framework, which utilizes the stochastic frontier approach (SFA) to investigate the environmental efficiency of firms in groups that have different t”
• Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment (2018, methodology): “According to Battese and Rao (2002) and O'Donnell et al. (2008), and using the case of CDM host countries (i.e., =h 1) for example, the group-frontier non-radial directional distance function can be expressed as Model.”
• Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach (2013, background): “Battese and Rao (2002), Battese et al. (2004), O'Donnell et al. (2008), Assaf et al. (2010), Tiedemann et al. (2011), Lin et al. (2012), Chiu et al. (2012), Huang et al. (2013) and Zhang et al. (2013) have started to apply themeta-frontier concept to study efficiency and productivity in a number of…”