Metatechnology frontier and convexity: A restatement

This article reconsiders the way metafrontiers and associated measures of efficiency are obtained from nonparametric estimates of underlying group-specific frontiers. Both convex and non-convex metasets have been applied, but the large majority of articles applying this popular methodology assume that the metafrontier envelops a convex metaset. We argue that associated estimates of efficiency are potentially unreliable. We develop a refined methodology for nonparametric envelopment of non-convex metasets. We apply our methodology to a secondary data set to illustrate the potential errors associated with the currently established methods. Anticipating our main conclusion, we find that the convexification strategy consisting in assuming a convex metaset generally leads to erroneous results.

[1]  Susanne Warning,et al.  Performance Differences in German Higher Education: Empirical Analysis of Strategic Groups , 2004 .

[2]  María Molinos-Senante,et al.  Comparing the efficiency of wastewater treatment technologies through a DEA metafrontier model , 2011 .

[3]  Marijn Verschelde,et al.  Semiparametric stochastic metafrontier efficiency of European manufacturing firms , 2016 .

[4]  S. Kittelsen,et al.  Decomposing the productivity differences between hospitals in the Nordic countries , 2015 .

[5]  Hans Mundlak Yair Yang Maw-Cheng Bowers Alan Binswanger On the determinants of cross-country aggregate agricultural supply , 1987 .

[6]  S. Afriat Efficiency Estimation of Production Function , 1972 .

[7]  D. Prior,et al.  On the determinants of local government performance: A two-stage nonparametric approach , 2007 .

[8]  Boris E. Bravo-Ureta,et al.  Technical efficiency and metatechnology ratios for dairy farms in three southern cone countries: a stochastic meta-frontier model , 2010 .

[9]  Vernon W. Ruttan,et al.  Factor Prices and Technical Change in Agricultural Development: The United States and Japan, 1880-1960 , 1970, Journal of Political Economy.

[10]  Wilbur John Coleman,et al.  The World Technology Frontier , 2000 .

[11]  Tsu-Tan Fu,et al.  An examination of the cost efficiency of banks in Taiwan and China using the metafrontier cost function , 2013 .

[12]  Kristiaan Kerstens,et al.  Total factor productivity growth and convergence in the petroleum industry : empirical analysis testing for convexity , 2012 .

[13]  Carlos Pestana Barros,et al.  Hotel efficiency: A bootstrapped metafrontier approach , 2010 .

[14]  Qi Li Nonparametric testing of closeness between two unknown distribution functions , 1996 .

[15]  Konstantinos Kounetas,et al.  Efficiency decompositions for heterogeneous technologies , 2009, Eur. J. Oper. Res..

[16]  Kristiaan Kerstens,et al.  Infeasibility and Directional Distance Functions with Application to the Determinateness of the Luenberger Productivity Indicator , 2009 .

[17]  B. Casu,et al.  Regulatory Reform and Productivity Change in Indian Banking , 2009, Review of Economics and Statistics.

[18]  Michael A. Trueblood Agricultural Production Function Estimates from Aggregate Intercountry Observations: A Selected Survey , 1991 .

[19]  S. Kumbhakar,et al.  Efficiency measurement using a latent class stochastic frontier model , 2004 .

[20]  Qi Li,et al.  A nonparametric test for equality of distributions with mixed categorical and continuous data , 2009 .

[21]  R. Färe,et al.  The Structure of Technical Efficiency , 1983 .

[22]  Tammo Francksen,et al.  Assessing the performance of German Bundesliga football players: a non-parametric metafrontier approach , 2011, Central Eur. J. Oper. Res..

[23]  Junseok Hwang,et al.  Network neutrality and difference in efficiency among Internet application service providers: A meta-frontier analysis , 2011 .

[24]  K. Tsekouras,et al.  Are cooperatives the weakest link in European banking? A non-parametric metafrontier approach , 2010 .

[25]  Christopher J. O'Donnell,et al.  Using information about technologies, markets and firm behaviour to decompose a proper productivity index , 2016 .

[26]  A. Athanassopoulos Strategic Groups, Frontier Benchmarking and Performance Differences: Evidence from the UK Retail Grocery Industry* , 2003 .

[27]  Scott E. Atkinson,et al.  Feasible Estimation of Firm-Specific Allocative Inefficiency through Bayesian Numerical Methods , 2009 .

[28]  Hervé Leleu,et al.  A linear programming framework for free disposal hull technologies and cost functions: Primal and dual models , 2006, Eur. J. Oper. Res..

[29]  G. Battese,et al.  A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies , 2004 .

[30]  Mohsen Afsharian,et al.  Metafrontier efficiency analysis with convex and non-convex metatechnologies by stochastic nonparametric envelopment of data , 2017 .

[31]  Michael G. Pollitt,et al.  Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry , 2014 .

[32]  Kostas Tsekouras,et al.  Productive performance, technology heterogeneity and hierarchies: Who to compare with whom , 2017 .

[33]  G. Debreu The Coefficient of Resource Utilization , 1951 .

[34]  József Fogarasi,et al.  Efficiency, productivity and technology comparison for farms in Central and Western Europe: The case of field crop and dairy farming in Hungary and France , 2012 .

[35]  Yanqin Fan,et al.  On goodness-of-fit tests for weakly dependent processes using kernel method , 1999 .

[36]  Sang-Go Lee,et al.  Comparison of efficiency levels using meta-frontier analysis of global fisheries for the period 1960–2010 , 2014, Fisheries Science.

[37]  Valentin Zelenyuk,et al.  Aggregation of Malmquist productivity indexes allowing for reallocation of resources , 2014, Eur. J. Oper. Res..

[38]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[39]  Kristof De Witte,et al.  Capturing the environment, a metafrontier approach to the drinking water sector , 2008, Int. Trans. Oper. Res..

[40]  Pieter H. M. Ruys,et al.  Production Correspondences and Convex Algebra , 1974 .

[41]  Tsu-Tan Fu,et al.  Metafrontier cost Malmquist productivity index: an application to Taiwanese and Chinese commercial banks , 2015 .

[42]  J. Pastor,et al.  A global Malmquist productivity index , 2005 .

[43]  Valentin Zelenyuk,et al.  Aggregation of Malmquist productivity indexes , 2006, Eur. J. Oper. Res..

[44]  R. Perrin,et al.  Agricultural productivity in developing countries , 1998 .

[45]  N. M. Hung,et al.  Non-convex aggregate technology and optimal economic growth , 2009 .

[46]  Zhuo Chen,et al.  Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis , 2008 .

[47]  Mohsen Afsharian,et al.  A non-convex meta-frontier Malmquist index for measuring productivity over time , 2018 .

[48]  Léopold Simar,et al.  Testing Hypotheses in Nonparametric Models of Production , 2016 .

[49]  Saeideh Fallah-Fini,et al.  Measuring and analysing productivity change in a metafrontier framework , 2017 .

[50]  Mohsen Afsharian,et al.  A linear programming approach to efficiency evaluation in nonconvex metatechnologies , 2018, Eur. J. Oper. Res..

[51]  Vernon W. Ruttan,et al.  Agricultural productivity differences among countries. , 1970 .

[52]  Scott E. Atkinson,et al.  Economic Efficiency and Productivity Growth in the Post-Privatization Chilean Hydroelectric Industry , 2005 .

[53]  Tammo Francksen,et al.  ESTIMATING NON-CONCAVE METAFRONTIERS USING DATA ENVELOPE ANALYSIS , 2007 .

[54]  Mohsen Afsharian,et al.  The overall Malmquist index: a new approach for measuring productivity changes over time , 2015, Ann. Oper. Res..

[55]  George E. Battese,et al.  Technology Gap, Efficiency, and a Stochastic Metafrontier Function , 2002 .

[56]  Kristiaan Kerstens,et al.  Non-convex Technologies and Cost Functions: Definitions, Duality and Nonparametric Tests of Convexity , 2004 .

[57]  G. Battese,et al.  Metafrontier frameworks for the study of firm-level efficiencies and technology ratios , 2008 .

[58]  Jeong-Dong Lee,et al.  A metafrontier approach for measuring Malmquist productivity index , 2010 .

[59]  Claudio Thieme,et al.  A mutilevel decomposition of school performance using robust nonparametric frontier techniques ∗ , 2011 .

[60]  Léopold Simar,et al.  Unobserved heterogeneity and endogeneity in nonparametric frontier estimation , 2016 .

[61]  C.-H. Lin,et al.  Measuring non-convex metafrontier efficiency in international tourist hotels , 2013, J. Oper. Res. Soc..

[62]  Lawrence J. Lau,et al.  The meta-production function approach to technological change in world agriculture☆ , 1989 .

[63]  B. Balk,et al.  Various Approaches to the Aggregation of Economic Productivity Indices , 2016 .

[64]  B. Balk,et al.  Industrial Price, Quantity, and Productivity Indices: The Micro-Economic Theory and an Application , 1998 .

[65]  L. Simar,et al.  Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach , 2007 .

[66]  H. Schmiedel,et al.  Is There a Single Frontier in a Single European Banking Market? , 2006, SSRN Electronic Journal.

[67]  Léopold Simar,et al.  On Testing Equality of Distributions of Technical Efficiency Scores , 2006 .

[68]  Kweku-Muata Osei-Bryson,et al.  Determining sources of relative inefficiency in heterogeneous samples: Methodology using Cluster Analysis, DEA and Neural Networks , 2010, Eur. J. Oper. Res..