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Environmental Efficiency Measurement with Translog Distance Functions: A Parametric Approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Cuesta, Rafael A. () (Departamento de Economía, Universidad de Oviedo, E-33071, Oviedo, Spain.)
Knox, C.A. () (Department of Economics, Terry College of Business, University of Georgia, Athens, GA 30602, USA)
Zofío, José Luis () (Departamento de Análisis Económico (Teoría e Historia Económica). Universidad Autónoma de Madrid.)
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We use a flexible parametric hyperbolic distance function to estimate environmental efficiency when some outputs are undesirable. Cuesta and Zofio (J. Prod. Analysis (2005), 31-48) introduced this distance function specification in conventional input-output space to estimate technical efficiency within a stochastic frontier context. We extend their approach to accommodate undesirable outputs and to estimate environmental efficiency within a stochastic frontier context. This provides a parametric counterpart to Färe et al.’s popular nonparametric environmental efficiency measures (Rev. Econ. Stat. 75 (1989), 90-98). The distance function model is applied to a panel of U.S. electricity generating units that produce marketed electricity and non-marketed SO2 emissions.
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Paper provided by Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History) in its series Working Papers in Economic Theory with number
2007/02.
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Length: 21 pages
Date of creation: Mar 2007Date of revision:
Handle: RePEc:uam:wpaper:200702Contact details of provider: Web page: http://www.uam.es/departamentos/economicas/analecon/default.html More information through EDIRC
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Keywords: Undesirable outputs ; parametric distance functions ; stochastic frontier analysis ; environmental efficiency ; Other versions of this item:
Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Zofio, Jose L. & Prieto, Angel M., 2001.
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