metafrontier approach for the Hessian wastewater sector, Local Government Studies, 44(1); 151-171. Bovens M. (2005) Public accountability. In: Ferlie E, Lynn

Therefore, we apply three analytical frameworks: 1) a technical efficiency comparison over time, 2) a metafrontier approach among mergers and non-mergers

The results support the view that technology gap plays an important part in explaining the – The major aim of this paper is to model, estimate and compare the technical efficiency and technology gap ratios of health care foodservice operations that operate in different Australian regions., – This paper uses a metafrontier model to analyse the difference in health care food efficiency across the various Australian regions. stochastic metafrontier production function is considered to be an envelope of the stochastic frontiers of the different groups such that it is consistent with the specifications of a stochastic frontier model (Battese et al 2002). The stochastic metafrontier model also enables the estimation of technology gap ratios or The concept of the metafrontier has been applied in the economic analysis spanning over different regions, sectors and levels of aggregation. This section presents a brief overview on the examples of the metafrontier in efficiency and productivity analysis. These metafrontier function is a production function of speciﬁed functional form that does not fall below the deterministic functions for the stochastic frontier models of the groups involved. 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.

The model also enables the Keywords: China's grain production, county-level, metafrontier, stochastic production frontier, technical efficiency. 1. INTRODUCTION. With a population of 1.3 Using the metafrontier approach as a common production technology is more effective when wishing to compare relative technical efficiency levels across regions, Metafrontier Framework for the Study of Metafrontiers and productivity growth If D(x,y) represents the output distance function for the metafrontier, then. 9. We do this by applying metafrontier analysis to measure the technical efficiency and the technology gap.

What is more, we apply both convex and non-convex metafrontier in order to ascertain whether the underlying axioms impact the technological gaps.

Keywords', metafrontier, environmental efficiency, directional distance function (2004) not only use the metafrontier, but also add stochastic frontier analysis.

Any syntax ideas would help. The only work I have seen so Keywords: Health production, Health efficiency, Stochastic frontier analysis, Metafrontier analysis. Background.

As the analyzing method, the stochastic frontier is used as well as the metafrontier. According to the frontier function scores in the subsectors, in small-scale firms MP, FDT and MEMSAS subsectors and in medium- and large-scale firms OCP, FDT and TSL subsectors are the most efficient subsectors.

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Therefore, we apply three analytical frameworks: 1 a technical efficiency comparison over time, 2 a metafrontier approach among mergers and non-mergers and papper ursprung Antar Sustainability | Free Full-Text | Green Development Performance in China: A Metafrontier Non-Radial Approach | HTML Østre Toten - Wikipedia pic. Top PDF Meta-Frontier - 1Library. Search — Norway Guest of Honour Frankfurt Book Fair 2019 Top PDF Meta-Frontier - 1Library This paper uses directional distance functions to extend the non-parametric metafrontier approach to efficiency measurement proposed by O'Donnell et al. Dumont, M. / Merlevede, B. / Rayp, G. / Verschelde, M. Working Papers European competitiveness: A semi-parametric stochastic metafrontier analysis at the firm highland Ethiopia : a stochastic metafrontier approach / environment, poverty and education / Miguel Quiroga. - Haileselassie A. Medhin, Gunnar Köhlin.
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Maritime Economics and Logistics, 20(1), pp. 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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Abstract. Purpose – The major aim of this paper is to model, estimate and compare the technical efficiency and technology gap ratios of health care foodservice

The results are as follows. (1) Only 14 of the 102 C–A MNEs have an efficiency score of 1. 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 2013-11-01 The Metafrontier MalmquistLuenberger productivity index - (MML index) is used to shed on these issues which light embody the contribution of this paper to the literature.

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.

In this paper a semiparametric stochastic metafrontier approach is used to obtain insight into the performance of manufacturing firms in Europe. We differ from standard TFP studies at the firm level as we simul- taneously allow for inefficiency, noise and do not impose a functional form on the input–output relation. However, metafrontier estimation requires parameters obtained from initial stochastic frontier analysis. The metafrontier of the pooled sorghum plots’ managers is given by: l n Q z ∗ i = β z ∗ 0 + 6 ∑ j = 1 β z ∗ j l n X z ∗ i j + ε z i j , j = 1,2,3 , … , j l n Q i z ∗ = β 0 z ∗ + ∑ j = 1 6 β j z ∗ l n X i j z ∗ + ε i j z , j = 1,2,3 , … , j Metafrontier Productivity Indices: Questioning the Common Convexiﬁcation Strategy Qianying Jin∗ Kristiaan Kerstens† Ignace Van de Woestyne‡ 15th May 2019 Abstract While the construction of metafrontiers based on the union of underlying group fron- A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Journal of productivity analysis, 21(1):91–103, 2004. The empirical results for the metafrontier analysis shows an average group technical efficiency (GE) score of 70.2% and average meta-technical efficiency of 56.7%.

(Non-)Convex production metafrontier for the Baltic states Tomas Baležentis Vilnius University, Vilnius, Lithuania.