2018-05-31
This paper considers a stochastic metafrontier function to investigate the technical efficiencies of firms in different groups that may not have the same technology. A decomposition of output is presented involving the technology gap and technical efficiency ratios for firms in a group relative to the best practice in the industry.
In addition, group frontiers are proposed to be the areas of limited production technology sets. The metafrontier model is used to highlight heterogeneity among clusters of countries revealing catch up phenomena. The estimation procedure is based on the notion of stochastic ordering and relies on the solution of an optimization problem on the parameters’ posterior means. The metafrontier framework proposed by O'Donnell et al. enables the evaluation of relative efficiencies for decision‐making units (DMUs) operating under heterogeneous technologies. The metatechnology ratio ( MTR ) constructed under the metafrontier framework helps estimate the gap between group frontiers and the metafrontier, with its score between 0 and 1. A metafrontier production function for estimation of technical efficiencies and technology potentials for firms operating under different technologies.
Technical efficiency (TE) 4 jan. 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. Studies, 44(1); 151-171. Bryson, J. M., Crosby, B. C. och Stone, M. M. metafrontier approach for the Hessian wastewater sector, Local Government Studies, 44(1); 151-171.
Studies, 44(1); 151-171. Bovens M. (2005) Public Yoshiaki SHIBATA - metaFrontier.jp; Masahito Kawamori - Nippon Telegraph and Phone; Byunghee Jung - Koreansk sändningssystem; Li Qingguo - SARFT Dumont, M. m.fl. (2014).
The metafrontier is defined as the area of an unlimited production technology set. In addition, group frontiers are proposed to be the areas of limited production technology sets.
metafrontier, denoted by TE*t , is defined in an analogous way to equation (6). It is the ratio of the observed output relative to the last term on the right-hand side of equation (5), which is the metafrontier output, adjusted for the corresponding 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. metafrontier framework because of its ability to estimate the technology-gap ratios, in addition to estimated parameters of frontiers and technical inefficiencies.
2017-09-01 · A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies J. Prod. Anal. , 21 ( 2004 ) , pp. 91 - 103 View Record in Scopus Google Scholar
The results reveal that there is a large room to save energy consumption in this industry. An alternative metafrontier framework for measuring the heterogeneity of technology.
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. employed metafrontier approach, developed by Battese and Rao (2002) and O'Donnell et al.(2008) in this study. Metafrontier approach is to account for heterogeneity across hospitals and contains the calculation of efficiency with respect to metafrontier and frontiers of homogeneous group which represent the common and the group specific
stochastic metafrontier analysis at the rm level Marijn Verscheldey Michel Dumontz Glenn Raypx Bruno Merlevede{January 16, 2014 Abstract In this paper a semiparametric stochastic metafrontier approach is used to obtain insight into rm-level competitiveness in Europe. We di er from standard TFP
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
SBM Metafrontier Approach. According to Battese and Rao , a metafrontier is defined as the boundary of a production possibility set of all input-output combinations, whereas group frontiers are conceptualized as the subboundaries of production possibility sets of groups of firms. A metafrontier always envelops the corresponding group frontiers.
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The metafrontier model is used to highlight heterogeneity among clusters of countries revealing catch up phenomena.
According to Battese and Rao , a metafrontier is defined as the boundary of a production possibility set of all input-output combinations, whereas group frontiers are conceptualized as the subboundaries of production possibility sets of groups of firms. A metafrontier always envelops the corresponding group frontiers. (Non-)Convex production metafrontier for the Baltic states Tomas Baležentis Vilnius University, Vilnius, Lithuania.
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The metafrontier model enables the calculation of comparable technical efficiencies for firms operating under different technologies. The model also enables the
This paper presents a number of useful decompositions of the metafrontier MPI, which can provide useful insights into changes that are due to efficiency, quality improvements and/or technological changes in the healthcare sector. The metafrontier framework proposed by O'Donnell et al. enables the evaluation of relative efficiencies for decision‐making units (DMUs) operating under heterogeneous technologies.
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metafrontier in order to identify technological superiority of the countries against each other. What is more, we apply both convex and non-convex metafrontier in order to ascertain whether the underlying axioms impact the technological gaps. The results
Let the inputs and outputs for farms in a given farms are such that stochastic frontier production function models are appropriate for Keywords', metafrontier, environmental efficiency, directional distance function (2004) not only use the metafrontier, but also add stochastic frontier analysis. Feb 1, 2021 metafrontier analysis to estimate region level technical efficiency (TE) and technology gap ratio. (TGR) in the two main grain-producing regions We used an output-oriented data envelopment analysis metafrontier approach and the Tobit model to investigate smallholder and commercial farmers' technical metafrontier estimated by Data Envelopment Analysis (DEA) was adopted to be the methodology. The frontiers were divided into five regions; Bangkok, central, The metafrontier model enables the calculation of comparable technical efficiencies for firms operating under different technologies. The model also enables the Keywords: China's grain production, county-level, metafrontier, stochastic production frontier, technical efficiency.
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. (2) The scores for different indicators of the same enterprise
2020-05-21 · A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. J Product Anal. 2004;21(1):91–103. View Article Google Scholar 22.
2021-01-19 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 … 2011-05-06 The metafrontier is assumed to be a smooth function and not a segmented envelope of the . Journal of Asian Scientific Research, 2013, 3(9):933-944 935 stochastic frontier functions for the different groups. A graph of the metafrontier function is presented in Figure 1. 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.