[HTML][HTML] A geometric aggregation of performance indicators considering regulatory constraints: An application to the urban solid waste management
DC Ferreira, P Caldas, M Varela… - Expert Systems with …, 2023 - Elsevier
There are several ways of aggregating partial performance indicators into composites, each
of them with advantages but also shortcomings and caveats. The objectivity demanded for
policy-making and regulation of utilities leads many researchers to build their analyses over
the so-called Benefit-of-Doubt (BoD), which, in turn, results from the well-known Data
Envelopment Analysis (DEA). In a compensatory manner, these models construct piecewise
linear frontiers containing the benchmarks, but they disregard increasing marginal products …
of them with advantages but also shortcomings and caveats. The objectivity demanded for
policy-making and regulation of utilities leads many researchers to build their analyses over
the so-called Benefit-of-Doubt (BoD), which, in turn, results from the well-known Data
Envelopment Analysis (DEA). In a compensatory manner, these models construct piecewise
linear frontiers containing the benchmarks, but they disregard increasing marginal products …
[PDF][PDF] A Geometric Aggregation of Performance Indicators Considering Regulatory Constraints: An Application to the Urban Solid Waste Management
DC Ferreira, P Caldas, M Varela… - Available at SSRN …, 2022 - papers.ssrn.com
There are several ways of aggregating partial performance indicators into composites, each
of them with advantages but also shortcomings and caveats. The objectivity demanded for
policy-making and regulation of utilities leads many researchers to build their analyses over
the so-called Benefit-of-Doubt (BoD), which, in turn, results from the well-known Data
Envelopment Analysis (DEA). In a compensatory manner, these models construct piecewise
linear frontiers containing the benchmarks, but they disregard increasing marginal products …
of them with advantages but also shortcomings and caveats. The objectivity demanded for
policy-making and regulation of utilities leads many researchers to build their analyses over
the so-called Benefit-of-Doubt (BoD), which, in turn, results from the well-known Data
Envelopment Analysis (DEA). In a compensatory manner, these models construct piecewise
linear frontiers containing the benchmarks, but they disregard increasing marginal products …
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