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.

We do this by applying metafrontier analysis to measure the technical efficiency and the technology gap. The results show a range of technical efficiency from 70

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%. The community group recorded the highest efficiency score of 88.1% with respect to the group frontier, while the parish group showed highest efficiency score of 63.3% relative to the metafrontier. (2012).

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. A metafrontier approach for measuring an environmentally sensitive productivity growth index Oh, Dong-hyun KTH, School of Architecture and the Built Environment (ABE), Centres, Centre of Excellence for Science and Innovation Studies, CESIS. The group innovative provinces have set a target for resource utilization of non-innovative provinces in order to catch-up with the corresponding groups, while the metafrontier innovative provinces provide targets for the technology levels of other provinces to improve their green development performance. This paper considers a stochastic metafrontier function to investigate the technical efficiencies of firms in different groups that may not have the same technology.

Auburn University.

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.

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. The results show a range of technical efficiency from 70 Running Title: Metafrontier Frameworks.

Findings. The results obtained indicate, from a greater control of heterogeneity, through the segmentation of the sample of cities and the metafrontier methodology, that the composite index (IEC3) through the enveloping data analysis methodology (DEA) is more robust than that obtained with the arbitrary assignment of CCCM weights.

Meanwhile, this basic metafrontier framework has been ex- tended in several directions: one example is the transposition to a 2013-11-01 · A more in-depth analysis of innovative plants requires a more deliberate examination. There are two types of innovative plants: group and metafrontier innovative power plants. Group innovators refer to outstanding plants within a specific group, and metafrontier innovators can be found in innovative plants from an integrated perspective. metafrontier can be classified into two components. The first component is a distance measurement from an input ‐output point to the group frontier, namely, technical efficiency (TE).The second component is a distance measurement between the group frontier and the metafrontier, namely, Technological Gap Ratios (TGRs).

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.
Zmt bygg & ställningar

Keywords: Cross‐section data, DEA metafrontier, regional differences, technical efficiency, Thai national universities.

html. Skapa Stäng.
Fotoautomat stockholm central

metafrontier is the nonconvex piecewise frontier, 1-B-3 . However, if the three groups arenot exhaustive, then other input–output combinations may be feasi-

Anal. , 21 ( 2004 ) , pp. 91 - 103 View Record in Scopus Google Scholar (2018).

function is the meaning of the metafrontier function of firms/units (Battese, Rao, & O’ Donnell, 2004). Several studies employ the metafrontier to be the main method in their research, emphasizing on the measurement of technical efficiency (TE) and technical gap ratio (TGRs).

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. The study used the true random effect model and stochastic metafrontier analysis to estimate region level technical efficiency (TE) and technology gap ratio (TGR) in the two main grain-producing regions of Norway.

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. 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. Conf. Productivity and Efficiency, pp. 21–49.