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Dynamic Models of Environmental Data Envelopment Analysis with Stock and Flow Variables

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An Erratum to this article was published on 01 December 2020

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Abstract

The paper devoted to the elaboration of methodological approach to the solution of dynamic problems of Environmental Data Envelopment Analysis for production facilities, whose activities are characterized by a set of variables of two different types—stock variables and flow variables. The limitations that are additionally imposed on the Production Possibility Set are studied. A task is set for assessing the comparative effectiveness of regional systems of environmental management that operate at a certain time interval. A computational example is given for assessing the comparative effectiveness of environmental management systems in the regions of the Central Federal District in the period from 2010 to 2014. The possibilities of using the developed method in practice are discussed.

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Notes

  1. The acronym CCR is widely used in the data envelopment analysis literature to refer to a class of constant scale effect models. It is introduced by the first letters of the developers’ names—Chames, Cooper, Rhodes.

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  1. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

    S.V. Ratner

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Ratner, S. Dynamic Models of Environmental Data Envelopment Analysis with Stock and Flow Variables. Autom Remote Control 81, 1330–1344 (2020). https://doi.org/10.1134/S0005117920070139

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  • DOI: https://doi.org/10.1134/S0005117920070139

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