TU Darmstadt / ULB / TUbiblio

Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases

Hampf, Benjamin and Krüger, Jens (2013):
Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases.
Darmstadt, In: Darmstadt Discussion Papers in Economics, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/4710],
[Report]

Abstract

This study explores the reduction potential of greenhouse gases for major pollution emitting countries of the world using nonparametric productivity measurement methods and directional distance functions. In contrast to the existing literature we apply optimization methods to endogenously determine optimal directions for the efficiency analysis. These directions represent the compromise of output enhancement and emissions reduction. The results show that for reasonable directions the adoption of best-practices would lead to sizable emission reductions in a range of about 20 percent compared to current levels.

Item Type: Report
Erschienen: 2013
Creators: Hampf, Benjamin and Krüger, Jens
Title: Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases
Language: English
Abstract:

This study explores the reduction potential of greenhouse gases for major pollution emitting countries of the world using nonparametric productivity measurement methods and directional distance functions. In contrast to the existing literature we apply optimization methods to endogenously determine optimal directions for the efficiency analysis. These directions represent the compromise of output enhancement and emissions reduction. The results show that for reasonable directions the adoption of best-practices would lead to sizable emission reductions in a range of about 20 percent compared to current levels.

Series Name: Darmstadt Discussion Papers in Economics
Volume: 216
Place of Publication: Darmstadt
Uncontrolled Keywords: climate policy, nonparametric frontier functions, directional distance functions
Divisions: 01 Department of Law and Economics
01 Department of Law and Economics > Volkswirtschaftliche Fachgebiete
01 Department of Law and Economics > Volkswirtschaftliche Fachgebiete > Emprical Economics
Date Deposited: 31 Jan 2016 20:56
Official URL: http://tuprints.ulb.tu-darmstadt.de/4710
URN: urn:nbn:de:tuda-tuprints-47100
Additional Information:

JEL classification: C14, D24, Q54

Export:

Optionen (nur für Redakteure)

View Item View Item