Non-compensability in Composite Indicators: A Robust Directional Frontier Method

Vidoli, Francesco; Fusco, Elisa; Mazziotta, Claudio

doi:10.1007/s11205-014-0710-y

Cited by 58 publications

(24 citation statements)

References 45 publications

(37 reference statements)

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“…This robust composite index score is constructed using the aforementioned mix of desirable and undesirable performance indicators using a robust order-m version of the directional distance function model as discussed by (Zanella et al, 2015;Rogge et al, 2017). This version of the composite score is robust in the sense that it corrects for the (potential) presence of municipalities with outlying and/or extreme performance data values (see also Vidoli et al, 2015).…”

Section: Choice Of the Measurement Modelmentioning

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

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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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Section: Choice Of the Measurement Modelmentioning

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

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“… 20 In a recent proposal, Vidoli et al ( 2015 ) suggest the use of a directional distance function to introduce reasonable weight constrains. …”

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confidence: 99%

Weight Constrained DEA Measurement of the Quality of Life in Spanish Municipalities in 2011

2016

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This paper measures quality of life (QoL) in the 393 largest Spanish municipalities in 2011. We follow recent descriptions of QoL dimensions to propose an integrated framework composed of eight dimensions: material living conditions, health, education, environment, economic and physical safety, governance and political voice, social interaction, and personal activities. Using different sources of information we construct 16 indicators, two per each of the QoL dimensions considered. Weight constrained data envelopment analysis (DEA) is then used to estimate a composite indicator of the QoL of each municipality. Robustness is checked by altering the weight ranges introduced within the DEA specification. Results show that the Northern and Central regions in Spain attain the highest levels of QoL, while the Southern and Mediterranean regions report lower scores. These figures are consistent with those obtained by González et al. (Soc Ind Res 82:111–145 2011) for the Spanish municipalities in 2001, although both the sample and the indicators used are different. The analysis also shows that, while it is important to restrict weights in DEA, the specific restrictions used are less important, since all the composite indicators computed are highly correlated. The results also show important differences between per capita gross domestic product and QoL at the provincial level.

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“…Robust Benefit of Doubt RBoD Procedure based on Vidoli et al [107]. Estimated using ci_rbod command in Compind R package [107] with M = 20, B = 20.…”

Section: Sensitivity Analysis and Robustnessmentioning

confidence: 99%

“…Estimated using ci_rbod command in Compind R package [107] with M = 20, B = 20. Applied to the same 4 PC extracted from PCA.…”

Section: Sensitivity Analysis and Robustnessmentioning

confidence: 99%

Reconciling Drought Vulnerability Assessment Using a Convergent Approach: Application to Water Security in the Elqui River Basin, North-Central Chile

Núñez

Vergara

Leyton

et al. 2017

Water

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Drought has been, is and most likely will remain one of the most significant socio-natural disasters affecting society and the environment worldwide. One priority objective in the adoption of national drought policies is to promote standardized approaches to vulnerability assessment. To reach this objective, however, there is a need to address the noticeable lack of reconciliation between the two major epistemic frameworks that have been used to determine who is vulnerable and why: the so-called outcome and contextual frameworks. This study presents a novel procedure called the convergent approach to assess drought vulnerability under an integral framework. The procedure has been applied to the study of the vulnerability of water security to drought in water-use sectors in a basin located in north-central Chile. The study is justified by the role that drought plays as the major threat to water security in a context of global water crisis. The results show that the convergent approach outperforms traditional procedures such as those based on composite indicators, showing sound robustness and reaching sufficient levels of reliability and validity. The potential expansion of this approach to other applications, such as those related to global estimations of vulnerability to drought, is also discussed.

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Non-compensability in Composite Indicators: A Robust Directional Frontier Method

Cited by 58 publications

References 45 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

Weight Constrained DEA Measurement of the Quality of Life in Spanish Municipalities in 2011

Reconciling Drought Vulnerability Assessment Using a Convergent Approach: Application to Water Security in the Elqui River Basin, North-Central Chile

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