2012
DOI: 10.1016/j.wasman.2012.05.021
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Evaluating the efficiency of municipalities in collecting and processing municipal solid waste: A shared input DEA-model

Abstract: 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' cos… Show more

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Cited by 103 publications
(29 citation statements)
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“…These results can be used to develop regulatory policy in the banking industry. Rogge and Jaeger [59] apply a DEA model to 293 municipalities in Belgium for the year 2008. They determine cost efficiency in collection and processing of municipal solid waste (MSW) and discuss policy implications.…”
Section: Efficiency Measurement Methodologymentioning
confidence: 99%
“…These results can be used to develop regulatory policy in the banking industry. Rogge and Jaeger [59] apply a DEA model to 293 municipalities in Belgium for the year 2008. They determine cost efficiency in collection and processing of municipal solid waste (MSW) and discuss policy implications.…”
Section: Efficiency Measurement Methodologymentioning
confidence: 99%
“…Using a shared input DEA methodology, the authors are also able to report estimates for the cost shares that correspond to each service. Similarly, Rogge and De Jaeger (2012) evaluate the cost efficiency of Flemish municipalities in the collection and processing of municipal solid waste by considering only one input ("waste cost") that is shared among different collection and treatment activities. In Rogge and De Jaeger (2013) this shared input DEA-model is further developed to make the partial and aggregate cost efficiency scores robust and also corrected for the impact of influences related to the operating environment and long-term policy variables.…”
Section: Resource Allocationmentioning
confidence: 99%
“…Several mathematical models have been proposed to study MSW collection differences. Data envelopment analysis (DEA), a commonly used method to study MSW collection, is designed and focused on measuring the environmental efficiency in waste generation and waste service [40][41][42][43]. A practical allocation model is applicable to treat MSW [44].…”
Section: Introductionmentioning
confidence: 99%