Decomposing the Luenberger-Hicks-Moorsteen total factor productivity indicator: an application to U.S. agriculture

DOI10.1016/j.ejor.2016.12.015zbMath1402.91569OpenAlexW2561733645MaRDI QIDQ1753445

Frederic Ang, Pieter Jan Kerstens

Publication date: 29 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2016.12.015

zbMATH Keywords

decompositiondata envelopment analysisnon-convex technologyadditive completenessLuenberger-Hicks-Moorsteen total factor productivity indicator

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) Production theory, theory of the firm (91B38) Statistical methods; economic indices and measures (91B82)

Related Items (4)

A superlative indicator for the Luenberger-Hicks-Moorsteen productivity indicator: theory and application ⋮ Decomposition of output, productivity and market structure changes ⋮ On the estimation of total factor productivity: a novel Bayesian non-parametric approach ⋮ Defining a new graph inefficiency measure for the proportional directional distance function and introducing a new Malmquist productivity index

Uses Software

• sfa
• Benchmarking

Cites Work

• On some semilattice structures for production technologies
• Benchmarking with DEA, SFA, and R.
• Infeasibility and directional distance functions with application to the determinateness of the Luenberger productivity indicator
• Exact and superlative index numbers
• New optimality principles for economic efficiency and equilibrium
• The theory of economic price and quantity indicators
• Decomposing productivity indexes into explanatory factors
• Exact nonradial input, output, and productivity measurement.
• Nonparametric frontier estimation: A robust approach.
• A Luenberger-Hicks-Moorsteen productivity indicator: its relation to the Hicks-Moorsteen productivity index and the Luenberger productivity indicator
• Selective convexity in DEA models
• Biased technical change and parallel neutrality
• Reference technology sets, free disposal hulls and productivity decompositions
• The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity
• Data Envelopment Analysis on a Relaxed Set of Assumptions
• Note—On Piecewise Reference Technologies
• DEA on Relaxed Convexity Assumptions
• NONPARAMETRIC FRONTIER ESTIMATION: A CONDITIONAL QUANTILE-BASED APPROACH
• EXACT RELATIONS BETWEEN FOUR DEFINITIONS OF PRODUCTIVITY INDICES AND INDICATORS

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