The economic meaning of Data Envelopment Analysis: A ‘behavioral’ perspective

Cherchye, Laurens; Rock, Bram De; Hennebel, Veerle

doi:10.1016/j.seps.2013.12.002

Cited by 6 publications

(4 citation statements)

References 35 publications

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“…The economic meaning of Data Envelopment Analysis (and related techniques) has been discussed in several papers. We refer the interested reader to, amongst others,Cherchye et al (2000) andCherchye et al (2014).3 For more on the comparison between DEA and SFA, see e.g Hjalmarsson et al (1996)…”

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confidence: 99%

Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector

Fusco

Vidoli

Rogge

2020

Omega

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This paper introduces a new composite indicator method integrating the spatial dependence into the robust directional model in the case of undesirable outputs. The proposed approach is advantageous compared to the traditional and conditional robust BoD models in that it allows to compare the performance of individual units with local cluster of peers. The methodology has been tested on a very detailed database of Italian municipalities for the year 2015 in the municipal solid waste collection and processing sector and confirms the existence of strong local constraints linked to the disposal facilities planned by higher level Authorities.

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confidence: 99%

Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector

Fusco

Vidoli

Rogge

2020

Omega

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“…First, DEA is a nonparametric methodology, meaning that it does not resort to parametric or functional specifications, but rather "lets the data speak for themselves" (Cherchye et al 2013(Cherchye et al , p. 1148). Thus, DEA may be particularly useful when data and/or information is limited for any reason, as it simply compares the reported inputs and outputs of the firm being evaluated to those of other firms operating in a similar environment (Cherchye et al 2014). This is a particularly important advantage in the case of social entrepreneurship, where available data is limited and information on the idiosyncratic relative importance of objectives is scarce.…”

Section: Advantages Of Using Data Envelopment Analysis For Performance Measurement Of Social Enterprisesmentioning

confidence: 99%

Data Envelopment Analysis and Social Enterprises: Analysing Performance, Strategic Orientation and Mission Drift

Staessens¹,

Kerstens²,

Bruneel³

et al. 2018

J Bus Ethics

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This study endorses the use of data envelopment analysis, which uses benefit-of-the-doubt weighting to evaluate the social, economic and overall performance of social enterprises. This methodology is especially useful for creating composite indicators based on multiple outputs expressed in different measurement units, and allows for enterprise-specific weighting of the different objectives. Applying this methodology on a unique longitudinal dataset of Flemish sheltered workshops suggest that social enterprises may face different types of mission drift. Further, our resultsshow that top-performing social enterprises are more economically and socially efficient than low performers. These top performers also have a stronger economic orientation, which sheds new light on the balance between social and economic orientations in social enterprises.

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“…In 2014, Cherchye et al reconsidered the economic motivation of DEA by highlighting its behavioral interpretation [26].…”

Section: Theoretical Approach Of Dea Modelmentioning

confidence: 99%

“…Local Source: data retrieved from the National Institute of Statistics of Romania [26] and processed by the authors.…”

Section: Lpasmentioning

confidence: 99%

Efficiency and Sustainability of Local Public Goods and Services. Case Study for Romania

Dincă

Andronic

2016

Sustainability

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Abstract:The aim of this paper is to evaluate the efficiency and sustainability of some local publicly-provided services (social, educational, public utilities). We have measured the Romanian local administrations expenditures' efficiency in supplying public goods and services using the non-parametric model of data envelopment analysis. The appraisal of efficiency and sustainability is mandatory when studying the optimization of public sector costs born out of taxpayers' money and the increase in the quantity and quality of supplied services. The services we have selected for this article cover many aspects of citizens' life quality. We have processed data from 2011 for all 41 Romanian counties and the municipality of Bucharest. For each decision unit, we have established a technical score, either quantifying the efficiency of expenditures allocated for supplying a certain level of services or measuring results' sustainability in terms of services rendered to local collectivities, considering a constant expenditure level. Based on the analyzed data, we have concluded that only 11 counties satisfy the required conditions. Furthermore, units registering a lower level of per capita expenditures have efficiency scores above the overall average, while counties with more citizens/taxpayers provided more public services compared to others.

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The economic meaning of Data Envelopment Analysis: A ‘behavioral’ perspective

Cited by 6 publications

References 35 publications

Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector

Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector

Data Envelopment Analysis and Social Enterprises: Analysing Performance, Strategic Orientation and Mission Drift

Efficiency and Sustainability of Local Public Goods and Services. Case Study for Romania

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