Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/39744

Decomposing profit change: Konüs, Bennet and Luenberger indicators


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Title:
Decomposing profit change: Konüs, Bennet and Luenberger indicators
Authors:
Aparicio Baeza, Juan
Zofío, José L.
Editor:
Elsevier
Department:
Departamentos de la UMH::Estadística, Matemáticas e Informática
Issue Date:
2023
URI:
https://hdl.handle.net/11000/39744
Abstract:
We introduce complementary decompositions of profit change that, relying on the duality between the profit function and the directional distance function, shed light on the different sources of profit growth including measures of technical efficiency, allocative efficiency and technological change. Our decompositions extend the literature on Konüs and Bennet quantity and price indicators to profit change. The first decomposition is ‘exact’ in the sense of Diewert, by completely exhausting the sources of profit change into profit inefficiency change (including technical and allocative inefficiency change), technological change, and output and input price change. The second decomposition equates the Bennet quantity indicator to a productivity measure represented by the Luenberger indicator plus allocative inefficiency change. We deem it ‘complete’ because in contrast to the existing literature, it retains the information on allocative inefficiency change while preventing the existence of residual terms capturing price variations, whose meaningful interpretation has not been addressed until now. Our proposed solution takes advantage of the flexibility of the directional distance function when choosing a suitable directional vector. All decompositions have the same structural form and therefore their components can be compared to each other vis-à-vis, providing alternative measures of equivalent sources of profit growth.
Keywords/Subjects:
data envelopment analysis
profit change
technical inefficiency
allocative inefficiency
directional distance function
Knowledge area:
CDU: Ciencias puras y naturales: Matemáticas
CDU: Ciencias sociales: Demografía. Sociología. Estadística: Estadística
CDU: Ciencias sociales: Economía
Type of document:
info:eu-repo/semantics/article
Access rights:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI:
https://doi.org/10.1016/j.seps.2023.101573
Published in:
Socio-Economic Planning Sciences
Appears in Collections:
Artículos - Estadística, Matemáticas e Informática



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