Negative data in DEA: a directional distance approach applied to bank branches

Portela, Maria Conceição A. Silva; Thanassoulis, Emmanuel; Simpson, Gary

doi:10.1057/palgrave.jors.2601768

Cited by 345 publications

(213 citation statements)

References 37 publications

Supporting

Mentioning

200

Contrasting

Unclassified

Order By: Relevance

“…Moreover, due to strong convexity constraints, it can only be solved under variable returns to scale (Silva Portela et al, 2004), so our empirical analysis should be performed using the BCC model (Banker et al, 1984).…”

Section: Dealing With Undesirable Outputsmentioning

confidence: 99%

Efficiency assessment of primary care providers: A conditional nonparametric approach

Ferrera

Alonso-Morán

Nuño-Solinís

et al. 2015

European Journal of Operational Research

View full text Add to dashboard Cite

This paper uses a fully nonparametric approach to estimate efficiency measures for primary care units incorporating the effect of environmental factors. This methodology allows us to account for different types of variables (continuous and discrete) regarding the main characteristics of patients served by those providers. In addition, we use an extension of this nonparametric approach to deal with the presence of undesirable outputs in data, represented by the number of readmissions and hospitalization rates of ambulatory care sensitive condition (ASCS). The empirical results of our application show that all the exogenous variables considered have a significant and negative effect on efficiency estimates.

show abstract

Section: Dealing With Undesirable Outputsmentioning

confidence: 99%

Efficiency assessment of primary care providers: A conditional nonparametric approach

Ferrera

Alonso-Morán

Nuño-Solinís

et al. 2015

European Journal of Operational Research

View full text Add to dashboard Cite

show abstract

“…This is especially important in periods of financial crises, since in times of crisis the historical mean returns of most mutual funds are negative, and this would force the models that rely on mean returns to resort to one of the devices suggested to deal with the problem of the presence of negative data in DEA models. For example, among the models which can be used in order to tackle the problem of negative output data in the DEA analysis we may cite the additive models, which are translation invariant (see Cooper et al (2000), Ali and Seiford (1990) and Lovell and Pastor (1995)), the input oriented BCC model (see Chen and Lin (2006)), the range directional model proposed in Silva Portela et al (2004) and the semi-oriented radial measure recently proposed in Emrouznejad et al (2010).…”

Section: Introductionmentioning

confidence: 99%

Constant and variable returns to scale DEA models for socially responsible investment funds

Basso

Funari

2014

European Journal of Operational Research

View full text Add to dashboard Cite

In order to evaluate the performance of socially responsible investment (SRI) funds, we propose some models which use data envelopment analysis and can be computed in all phases of the business cycle. These models focus on the most crucial elements of an investment in mutual funds. In the literature both constant and variable returns to scale DEA models have been used to evaluate the performance of mutual funds. An empirical investigation carried out on European SRI equity funds indicates that for the funds analyzed the returns to scale are constant. Another aspect taken into account by the empirical investigation is the measurement of the degree of social responsibility of SRI equity funds in the various European countries. In addition, we have analyzed the performance of the funds considered with the different DEA models proposed, which differ in the way the ethical objective is taken into account. Moreover, the paper focuses on another crucial issue regarding socially responsible investing: the comparison of the performances between SRI and non SRI funds; the empirical study suggests that the ethical objective can be pursued without having to renounce financial rewards.

show abstract

“…V súčasnosti existuje veľké množstvo prístupov, ktoré sa zaoberajú možnosťami inkorporácie negatívnych dát pri využití DEA (napr. Portela et al, 2004;Sharp et al, 2006;Emrouznejad et al, 2010). V našom prístupe bude na kvantifikáciu vzdialeností podnikov od hranice finančnej tiesne aplikovaný ADD model Charnesa et al (1985) pre podmienku VRS.…”

Section: Meranie Vzdialenosti Od Hranice Finančnej Tiesneunclassified

Diagnosing of the Corporate Financial Health Using DEA: an Application to Companies in the Slovak Republic

Mendelová¹,

Bieliková²

2017

Politicka ekonomie

View full text Add to dashboard Cite

Diagnosing of the Corporate Financial Health Using DEA: an Application to Companies in the Slovak RepublicThe paper deals with the examining the possibilities for diagnosing the corporate financial health using Data Envelopment Analysis (DEA) technique. The main aim of the paper is to present a new proposal for diagnosing the corporate financial health by DEA, to predict financial distress of Slovak manufacturing companies using the proposed procedure, and to assess the potential of DEA as a tool for predicting financial distress of the company. Due to the special input and output variables selection and the construction of the Corporate Distress Frontier, the proposed procedure is very different from the conventional use of DEA. The proposed two-step procedure results into the identification of three zones of corporate financial health with different stage of corporate distress risk. The application of the proposed procedure to Slovak manufacturing companies and its comparison with the logistic regression model and decision tree show relatively satisfactory results of the proposed methodology in terms of correct classification of non-bankrupt firms.Keywords: data envelopment analysis, company, corporate distress, diagnosing, financial health JEL Classification: C14, G30 ÚvodZa účelom udržania prosperity a konkurencieschopnosti podniku je pre manažment a ostatné záujmové strany dôležité dôkladne poznať v akej ekonomickej a finančnej situácii sa ich podnik nachádza. Predpokladom pre detailné poznanie finančnej situácie je venovanie dostatočnej pozornosti diagnostikovaniu finančného zdravia podniku a včasné identifikovanie potenciálnych problémov ohrozujúcich jeho činnosť. Potreba včasného diagnostikovania finančných problémov podnikov podnietila vznik rôznych diagnostických modelov založených na finančných ukazovateľoch. Vo vedeckých štúdiách sa obzvlášť vysoká pozornosť venuje aplikácii variantných nástrojov na konštrukciu diagnostických modelov. K najviac využívaným nástrojom v súčasnosti patrí diskriminačná analýza (DA), logistická regresia (LR), rozhodovacie stromy (RS) a rôzne typy neuró-nových sietí (NS). Potreba splnenia viacerých štatistických predpokladov, či pomerne striktné požiadavky na veľkosť dátovej množiny týchto tradičných nástrojov sa však stali stimulom na vývoj nových prístupov, ktorých ambíciou je tieto nevýhody tradičných nástrojov čiastočne eliminovať. Nakoľko diagnostikovanie finančného zdravia podnikov je jednou z pomerne často diskutovaných tém v manažérskej praxi i v kruhoch odbornej *1 Viera Mendelová, Tatiana Bieliková (viera.mendelova@umb.sk, tatiana.bielikova@umb.sk ), Univerzita Mateja Bela v Banskej Bystrici, Ekonomická fakulta. Článok bol vypracovaný v rámci riešenia projektu VEGA 1/0647/14 -Variantné metódy predikcie finančného zdravia podnikov v podmienkach dynamického ekonomického prostredia.

show abstract

Negative data in DEA: a directional distance approach applied to bank branches

Cited by 345 publications

References 37 publications

Efficiency assessment of primary care providers: A conditional nonparametric approach

Efficiency assessment of primary care providers: A conditional nonparametric approach

Constant and variable returns to scale DEA models for socially responsible investment funds

Diagnosing of the Corporate Financial Health Using DEA: an Application to Companies in the Slovak Republic

Contact Info

Product

Resources

About