To investigate knowledge transfer efficiency, this study applies a metafrontier epsilon‐based measure (EBM) model to survey data for 102 Chinese and African multinational enterprises (C–A MNEs). The results are as follows. (1) Only 14 of the 102 C–A MNEs have an efficiency score of 1.

(2018). A metafrontier analysis for performance evaluation of public schools in Athens city-centre. Journal of Statistics and Management Systems: Vol. 21, No. 7, pp. 1251-1272.

enables the evaluation of relative efficiencies for decision‐making units (DMUs) operating under heterogeneous technologies. 2018-02-02 The metafrontier model enables the calculation of comparable technical efficiencies for firms operating under different technologies. The model also enables the technology gaps to be estimated for firms under different technologies relative to the potential technology available to the industry as a whole. The metafrontier is assumed to employ the same technology as the individual stochastic frontiers in different groups.

Category: Management Science Letters. May 21, 2020 In the next stage, Meta-frontier analysis (MFA) is applied to compare the production function of the internet industry across the years. Technology Utmatningsformat. html, text, asciidoc, rtf. html. Skapa Stäng. A metafrontier approach for measuring an environmentally sensitive productivity growth index Sammanfattning: This study adopts the stochastic metafrontier approach to investigate the role of soil conservation in small-scale highland agriculture in Ethiopia Soil Conservation and Small Scale Food Production in Highland Ethiopia: A Stochastic Metafrontier Approach.

The results support the view that technology gap plays an important part in explaining the metafrontier framework because of its ability to estimate the technology-gap ratios, in addition to estimated parameters of frontiers and technical inefficiencies.

metafrontier framework because of its ability to estimate the technology-gap ratios, in addition to estimated parameters of frontiers and technical inefficiencies. The stochastic metafrontier framework proposed by Battese and Rao (2002) and Battese et al. (2004) is followed in this analysis.

2421-2434. severe competitiveness issues of Spanish rms, (iv) we con rm that the metafrontier is for a large part determined by Belgian rms. Second, we contribute by exposing intra-industry dynamics of competitiveness. Abstract: The metafrontier framework proposed by O'Donnell et al.

metafrontier, namely, Technological Gap Ratios (TGRs). The latter component represents the restrictive nature of the production environment [4]. Metafrontier analysis is an approach that allows comparison between different technologies [5]. The attractive feature of metafrontier …

Keywords: Stochastic Frontier Analysis, Data Envelopment Analysis, Technical. Efficiency. 1 Corresponding author.

(2004) is followed in this analysis. A metafrontier slack-based efficiency measure is presented to measure environmental efficiency for various regions in China. The objective of the new approach is to investigate the change of environmental efficiency while incorporating group heterogeneities and all variable slack and environmental pollutants into environmental efficiency analysis.
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Soil Conservation and Small Scale Food Production in Highland Ethiopia: A Stochastic Metafrontier Results indicate that male-managed sorghum plots had the highest metafrontier technical efficiencies (MTEs) (61%, 56% and 15%) and technology gap ratios (TGRs) (98%, 92% and 20%) for Lira, Serere and Kumi districts, respectively compared to female and jointly managed plots. 2017-09-01 · A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies J. Prod. Anal.

112-130. 2018-05-31 Battese, GE, DSP Rao and CJ O’Donnell [2004] A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies.
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14 dec. 2020 — Soil Conservation and Small-Scale Food Production in Highland Ethiopia A Stochastic Metafrontier Approach. 496. Risk Implications of Farm

DEA-Malmquist productivity index can be understood in terms of distance functions. The metafrontier framework proposed by O'Donnell et al.

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metafrontier, which is assumed to be a smooth function that envelopes the speciﬁc male, female and jointly managed plots' stochastic frontiers (Battese and Rao, 2002). However, metafrontier estimation requires parameters obtained from initial stochastic frontier analysis. The meta-frontier of the pooled sorghum plots’ managers is given by

2.Estimate metafrontier as FDH of country-speci c stochastic FDH frontiers 3.Obtain estimates of Metafrontier E ciency and Technology Gap Ratio Dynamics of competitiveness I Estimate TFP change by a Metafrontier Hicks-Moorsteen index Rao, DSP [2006] Metafrontier frameworks for the study of firm-level efficiencies and technology gap.

The metafrontier technique consists of enveloping the groups of frontiers estimated through another frontier, called metatechnology. This technique entails the estimation of the metatechnology and the frontiers of relatively homogenous groups (Rao et al., 2004). DEA-Malmquist productivity index can be understood in terms of distance functions.

2021 — (2) a metafrontier approach among mergers and non-mergers, and (3) a conditional difference-in-differences approach where non-merged Comparison of Global Fisheries' Efficiency Levels Using Meta-Frontier : Analyzing the Efficiency Level for Global Fisheries · Lee Sang-Go ⋅ Rahimi Midani av A Thomasson — conditional metafrontier approach for the Hessian wastewater sector, Local Government.

Keywords: Cross‐section data, DEA metafrontier, regional differences, technical efficiency, Thai national universities. metafrontier and revealed how a metafrontier could be computed using the DEA model. O'Donnell et al (2008) defined the metafrontier as two forms, convex and non convex metafrontier, and showed the specific function for the convex metafrontier model. De Witte and Marques (2009) formed a combination between the FDH model and metafrontier function.