Evolving the latent variable model as an environmental DEA technology

Abraham Bretholt, Jeh-Nan Pan

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

This article tests several nonparametric DEA models for their ability to accurately decompose CO 2 emissions change using a Malmquist styled decomposition framework. This production oriented activity analysis involves panel data and two data sets from the literature for comparison. A new Latent Variable radial input-oriented technology is introduced that is closely associated with a Koopmans Efficient Slacks Based Model. The Latent Variable technology simultaneously reduces inputs and undesirable outputs in a single Multiple Objective Linear Program. This production theoretic methodology is adapted to preserve both scale efficiency and causality within the envelopment framework. Finally, the application studies demonstrate the internal consistency of the Latent Variable reduction coefficients, which overturns previous results and paves the way for further research into undesirable externalities.

Original languageEnglish
Pages (from-to)315-325
Number of pages11
JournalOmega (United Kingdom)
Volume41
Issue number2
DOIs
Publication statusPublished - 2013 Apr 1

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Latent variable models
Latent variables
Coefficients
Panel data
Externalities
Scale efficiency
Slacks
Linear program
Undesirable outputs
Causality
Methodology
Nonparametric test
Decomposition
Activity analysis
Multiple objectives
Internal consistency
Malmquist
DEA model

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Information Systems and Management

Cite this

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Evolving the latent variable model as an environmental DEA technology. / Bretholt, Abraham; Pan, Jeh-Nan.

In: Omega (United Kingdom), Vol. 41, No. 2, 01.04.2013, p. 315-325.

Research output: Contribution to journalArticle

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