An exponential analysis of total factor productivity

Arnaud Abad (), Paola Ravelojaona () and Zhiyang Shen
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Arnaud Abad: BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Paola Ravelojaona: UPVD - Université de Perpignan Via Domitia

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Abstract: As an important economic measure, the total factor productivity indices can be employed to evaluate the performance of decision-making units over time. These indices are usually based on multiplicative or additive distance functions estimated by either parametric or non parametric approaches. Under a non parametric analytic framework, this paper introduces a multiplicative directional productivity measure: the Directional Hicks-Moorsteen (DHM) indicator. A dynamical combination of multiplicative directional distance functions is introduced and non convex production technologies are assumed to estimate the distance functions. In an empirical illustration, the proposed model is applied to display productivity changes among Chinese provincial public hospitals over the period 2014-2018. The results indicate that a consistent outcome is obtained under the multiplicative technology and the production technology of free disposal hull while more productivity gains are observed under free disposal hull technology.

Keywords: Exponential Efficiency Index; Non Convexity; Total Factor Productivity (search for similar items in EconPapers)
Date: 2022-03-02
New Economics Papers: this item is included in nep-eff
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