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.
- Sprache
-
Englisch
- Erschienen in
-
Series: Darmstadt Discussion Papers in Economics ; No. 216
- Klassifikation
-
Wirtschaft
Semiparametric and Nonparametric Methods: General
Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
Climate; Natural Disasters and Their Management; Global Warming
- Thema
-
climate policy
nonparametric frontier functions
directional distance functions
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Hampf, Benjamin
Krüger, Jens J.
- Ereignis
-
Veröffentlichung
- (wer)
-
Technische Universität Darmstadt, Department of Law and Economics
- (wo)
-
Darmstadt
- (wann)
-
2013
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Hampf, Benjamin
- Krüger, Jens J.
- Technische Universität Darmstadt, Department of Law and Economics
Entstanden
- 2013
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