Multi-valued measures in DEA in the presence of undesirable outputs

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F20%3A10242779" target="_blank" >RIV/61989100:27510/20:10242779 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0305048318309873?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0305048318309873?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.omega.2019.01.010" target="_blank" >10.1016/j.omega.2019.01.010</a>

Result language

angličtina

Original language name

Multi-valued measures in DEA in the presence of undesirable outputs

Original language description

Data envelopment analysis (DEA) evaluates the relative efficiency of a set of comparable decision making units (DMUs) with multiple performance measures (inputs and outputs). Classical DEA models rely on the assumption that each DMU can improve its performance by increasing its current output level and decreasing its current input levels. However, undesirable outputs (like wastes and pollutants) may often be produced together with desirable outputs in final products which have to be minimized. On the other hands, in some real-world situations, we may encounter some specific performance measures with more than one value which are measured by various standards. In this study, we referee such measures as multi-valued measures which only one of their values should be selected. For instance, unemployment rate is a multi-valued measure in economic applications since there are several definitions or standards to measure it. As a result, selecting a suitable value for a multi-valued measure is a challenging issue and is crucial for successful application of DEA. The aim of this study is to accommodate multi-valued measures in the presence of undesirable outputs. In doing so, we formulate two individual and summative selecting directional distance models and develop a pair of multiplier- and envelopment-based selecting approaches. Finally, we elaborate applicability of the proposed method using a real data on 183 NUTS 2 regions in 23 selected EU-28 countries. (C) 2019 Elsevier Ltd

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

50202 - Applied Economics, Econometrics

Project

<a href="/en/project/GA17-23495S" target="_blank" >GA17-23495S: Economies of Scope in Network Data Envelopment Analysis Models</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Omega

ISSN

0305-0483

e-ISSN

—

Volume of the periodical

94

Issue of the periodical within the volume

July

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

102041

UT code for WoS article

000528206400004

EID of the result in the Scopus database

2-s2.0-85062937052