Stochastic non-smooth envelopment of data for multi-dimensional output

Schaefer, Julia; Clermont, Marcel

doi:10.1007/s11123-018-0539-5

Cited by 8 publications

(2 citation statements)

References 42 publications

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“…Likewise, another possible limitation could be that, like the SFA models, this approach was originally designed for a production process with a single output. Nevertheless, it can be adapted to a multiple output framework using directional distance functions (Kuosmanen and Johnson, 2017) or ray production functions (Schaefer and Clermont, 2018).…”

Section: Stochastic Semi-nonparametric Envelopment Of Datamentioning

confidence: 99%

Assessing Panamanian hospitals' performance with alternative frontier methods

Ferrera

García-García

Lau-Cortés

et al. 2021

Int Trans Operational Res

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In the last decades, there has been a growing interest in measuring the efficiency of hospitals using different methodological approaches, mainly represented by data envelopment analysis (DEA) and stochastic frontier analysis (SFA). In this study, we estimate efficiency measures of performance for a sample of Panamanian public hospitals over an 11-year period (2005-2015) using both traditional methods (DEA and SFA) and compare them with efficiencies estimated with an alternative approach, the so-called StoNED (stochastic semi-nonparametric envelopment of data), which combines the virtues of those methods in a unified framework. One of the most interesting features of the public health system in Panama is that it is segmented, as hospitals are operating under two parallel management schemes (the Ministry of Health and the Social Security Fund), thus in our empirical analysis we will also focus on exploring the differences between hospitals operating under each regime. Our results show that there are certain divergences in the efficiency scores estimated with different methodologies, but for all of them it is possible to detect that Panamanian hospitals experienced a clear decrease in their efficiency levels throughout the period evaluated, being this much higher in the hospitals belonging to the Social Security Fund.

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Section: Stochastic Semi-nonparametric Envelopment Of Datamentioning

confidence: 99%

Assessing Panamanian hospitals' performance with alternative frontier methods

Ferrera

García-García

Lau-Cortés

et al. 2021

Int Trans Operational Res

View full text Add to dashboard Cite

show abstract

“…Mientras que los métodos semi-paramétricos son una mezcla de las técnicas paramétricas y no paramétricas. Tal es el caso del método envolvente estocástico no lineal de datos (StoNED, por sus siglas en inglés: Stochastic Non-smooth Envelopment of Data), que combina propiedades de DEA y SFA, puesto que no precisa ninguna forma de la función de producción y las desviaciones de la frontera se descomponen en ineficiencia y ruido, respectivamente (Schaefer & Clermont, 2018).…”

Section: Enfoques Para Estimar La Eficiencia Y La Productividadunclassified

La productividad del sector manufacturero: caso Colombia 2005-2016

Becerra-Peña

Mejía

2021

REMEF

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El objetivo de este trabajo es analizar empíricamente la evolución de la productividad total de los factores (PTF) en la industria manufacturera colombiana de 2005 a 2016, a través de la estimación del Índice de Malmquist (IM), con un panel de veintinueve subsectores productivos. Los resultados muestran una caída promedio en la PTF de la manufactura colombiana de 1.1%, derivado de un retroceso en el componente tecnológico. Se recomienda a los hacedores de política promover el uso de Tecnologías de la Información y la Comunicación, así como innovaciones tecnológicas. La limitación encontrada corresponde a la falta de información desagregada a nivel empresa de la totalidad de unidades económicas del sector durante el período de análisis. La originalidad de la investigación recae en el monitoreo de los cambios en la productividad de la manufactura y su descomposición en eficiencia y tecnología a lo largo del tiempo. En conclusión, durante el período de estudio se vislumbra una desindustrialización temprana del sector manufacturero, donde los componentes de eficiencia y de tecnología no fueron en la misma dirección.

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Proper modelling of industrial production systems with unintended outputs: a different perspective

Dyckhoff

2023

J Prod Anal

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The question of how to properly model production systems with unintended outputs has proven both controversial and of particular interest to the productivity and efficiency community. The paper explains why some of the arguments put forward in these controversies are hardly convincing for industrial and other processes. Among other things, there is a lack of clear conceptual labelling of the different types of joint production, especially coupled production, which is the main source of undesirable and other unintended outputs, unless neglected. It is largely ignored that the desirability of such by-products may depend on the quantity produced. This is also true for reduction processes such as waste incineration or end-of-life vehicle dismantling, which in turn generate new unintended outputs. As a rule, industrial material and energy balances are modelled implicitly. Koopmans’ activity analysis is the standard approach in modelling production systems with undesirable outputs in the literature of business economics on sustainable production and supply chain management. With data envelopment analysis (DEA), instead of entire production possibilities, it is sufficient to know only certain local properties in the relevant range of input and output quantities of the observed activities. This lowers the challenge to verify their empirical validity.

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Stochastic non-smooth envelopment of data for multi-dimensional output

Cited by 8 publications

References 42 publications

Assessing Panamanian hospitals' performance with alternative frontier methods

Assessing Panamanian hospitals' performance with alternative frontier methods

La productividad del sector manufacturero: caso Colombia 2005-2016

Proper modelling of industrial production systems with unintended outputs: a different perspective

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