Arbeitspapier
Optimal directions for directional distance functions: An exploration of potential reductions of greenhouse gases
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.
- Language
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Englisch
- Bibliographic citation
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Series: Darmstadt Discussion Papers in Economics ; No. 216
- Classification
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Wirtschaft
Semiparametric and Nonparametric Methods: General
Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
Climate; Natural Disasters and Their Management; Global Warming
- Subject
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climate policy
nonparametric frontier functions
directional distance functions
- Event
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Geistige Schöpfung
- (who)
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Hampf, Benjamin
Krüger, Jens J.
- Event
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Veröffentlichung
- (who)
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Technische Universität Darmstadt, Department of Law and Economics
- (where)
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Darmstadt
- (when)
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2013
- Handle
- Last update
-
10.03.2025, 11:42 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Hampf, Benjamin
- Krüger, Jens J.
- Technische Universität Darmstadt, Department of Law and Economics
Time of origin
- 2013
Other Objects (12)
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Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases
Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases
Fast and efficient computation of directional distance estimators
Linking Water and Climate : Greenhouse Gas Reductions in the Water Sector
Author Correction: Substantial reductions in non-CO2 greenhouse gas emissions reductions implied by IPCC estimates of the remaining carbon budget
Joint implementation of greenhouse gas reductions under consideration of fiscal and regulatory incentives
Use of NH3 fuel to achieve deep greenhouse gas reductions from US transportation
Electricity savings and greenhouse gas emission reductions from global phase-down of hydrofluorocarbons
Greenhouse gas emission reductions as a motivator of e85 purchases across market segments
A directional distance based super-efficiency DEA model handling negative data
Optimal navigation of a smart active particle: directional and distance sensing
Closing the gap? A comparison of approaches to encourage early greenhouse gas emission reductions
Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases
Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases
Fast and efficient computation of directional distance estimators
Linking Water and Climate : Greenhouse Gas Reductions in the Water Sector
Author Correction: Substantial reductions in non-CO2 greenhouse gas emissions reductions implied by IPCC estimates of the remaining carbon budget
Joint implementation of greenhouse gas reductions under consideration of fiscal and regulatory incentives
Use of NH3 fuel to achieve deep greenhouse gas reductions from US transportation
Electricity savings and greenhouse gas emission reductions from global phase-down of hydrofluorocarbons
Greenhouse gas emission reductions as a motivator of e85 purchases across market segments
A directional distance based super-efficiency DEA model handling negative data
Optimal navigation of a smart active particle: directional and distance sensing