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pgt  

Data Envelopment Analysis for Pollution-Generating Technologies
View on CRAN: Click here


Download and install pgt package within the R console
Install from CRAN:
install.packages("pgt")

Install from Github:
library("remotes")
install_github("cran/pgt")

Install by package version:
library("remotes")
install_version("pgt", "0.7.0")



Attach the package and use:
library("pgt")
Maintained by
Erik Enstad
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-28
Latest Update: 2026-07-28
Description:
Nonparametric efficiency analysis for pollution-generating technologies under the materials-balance principle. Implements the weak-G-disposability model of Rodseth (2025) <doi:10.1007/s11123-025-00768-0> and its factorially determined multi-output representation, the by-production intersection technology of Murty, Russell and Levkoff (2012) <doi:10.1016/j.jeem.2012.02.005>, the materials-balance cost model of Coelli, Lauwers and Van Huylenbroeck (2007) <doi:10.1007/s11123-007-0052-8> and a weak-disposability reference model, with an enforced materials-balance identity, a pre-estimation feasibility audit, metafrontier decompositions, bad-output shadow prices, marginal abatement cost curves, a cross-axiom comparison harness, a global Malmquist-Luenberger productivity index and subsampling inference. Estimators are solved with 'lpSolveAPI'.
How to cite:
Erik Enstad (2026). pgt: Data Envelopment Analysis for Pollution-Generating Technologies. R package version 0.7.0, https://cran.r-project.org/web/packages/pgt. Accessed 13 Oct. 2026.
Previous versions and publish date:
(2026-09-22 16:40), 0.5.0 (2026-07-28 17:50), 0.6.1 (2026-08-19 13:30)
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Complete documentation for pgt
Functions, R codes and Examples using the pgt R package
Full pgt package functions and examples
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