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Rogge N.,Hogeschool University Brussel russel | Rogge N.,Catholic University of Leuven
Ecological Indicators | Year: 2012

The non-parametric Data Envelopment Analysis approach is increasingly used to construct composite indicators for country performance monitoring, benchmarking, and policy evaluation in a large variety of fields. The flexibility in the definition of aggregation weights is praised as the method's most important advantage: DEA allows each evaluated country to look for its own optimal weights that maximize the composite indicator relative to the other countries. However, this flexibility also carries a potential disadvantage as it may allow countries to appear as a brilliant performer in a manner that is hard to justify: by ignoring or overemphasizing one or multiple of the judiciously selected performance indicators. To illustrate this issue of undesirable specialization in DEA-based evaluations, this paper compares the Environmental Performance Index (EPI) as computed by the optimistic and pessimistic version of the DEA-model as proposed by Zhou et al. (2007). Based on both computed composites, undesirable specialization in performance is identified. © 2012 Elsevier Ltd. All rights reserved. Source

Rogge N.,Hogeschool University Brussel russel | Rogge N.,Catholic University of Leuven | De Jaeger S.,Catholic University of Leuven | De Jaeger S.,Hogeschool University Brussel russel
Waste Management | Year: 2012

This paper proposed an adjusted "shared-input" version of the popular efficiency measurement technique Data Envelopment Analysis (DEA) that enables evaluating municipality waste collection and processing performances in settings in which one input (waste costs) is shared among treatment efforts of multiple municipal solid waste fractions. The main advantage of this version of DEA is that it not only provides an estimate of the municipalities overall cost efficiency but also estimates of the municipalities' cost efficiency in the treatment of the different fractions of municipal solid waste (MSW). To illustrate the practical usefulness of the shared input DEA-model, we apply the model to data on 293 municipalities in Flanders, Belgium, for the year 2008. © 2012 Elsevier Ltd. Source

Cherchye L.,Catholic University of Leuven | Cherchye L.,University of Tilburg | Moesen W.,Catholic University of Leuven | Rogge N.,Catholic University of Leuven | And 3 more authors.
Expert Systems with Applications | Year: 2011

This paper focuses on the construction of a composite indicator for the knowledge based economy, using imprecise data. Specifically, for some indicators we only have information on the interval within which the true value is believed to lie. The proposed approach is based on the Data Envelopment Analysis literature. Given the setting of evaluating countries, this paper discerns a 'strong country in weak environment' and 'weak country in strong environment' scenario resulting in respectively an upper and lower bound on countries' performance. Accordingly, we derive a classification of 'benchmark countries', 'potential benchmark countries', and 'countries open to improvement'. We illustrate our method with data on the knowledge economy. © 2011 Elsevier Ltd. All rights reserved. Source

De Jaeger S.,Hogeschool University Brussel russel | De Jaeger S.,Catholic University of Leuven | Eyckmans J.,Hogeschool University Brussel russel | Eyckmans J.,Catholic University of Leuven | And 4 more authors.
Waste Management | Year: 2011

We study the impact of some local policies aimed at municipal solid waste (MSW) reduction on the cost efficiency of MSW collection and disposal. We explicitly account for differences between municipalities in background conditions by using a bootstrapped version of the Data Envelopment Analysis methodology in combination with a matching technique. Using data on 299 municipalities in Flanders, Belgium, for the year 2003, our results indicate that municipalities that are member of a waste collection joint venture, or that subscribe to a voluntary agreement to reduce MSW at the highest ambition level, collect and process MSW more efficiently than other municipalities. Weekly instead of two-weekly waste collection, or using a weight-based pricing system appears to have no impact on efficiency. Our results show that aiming at MSW reduction does not lead to lower efficiency of public service provision, even on the contrary. © 2011 Elsevier Ltd. Source

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