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

Konferenzbeitrag

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 e ciency 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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Beiträge zur Jahrestagung des Vereins für Socialpolitik 2013: Wettbewerbspolitik und Regulierung in einer globalen Wirtschaftsordnung - Session: Climate Policy II ; No. D04-V1

Classification and Topics

• Classification: Wirtschaft ; Semiparametric and Nonparametric Methods: General ; Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity ; Climate; Natural Disasters and Their Management; Global Warming

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Hampf, Benjamin ; Krüger, Jens J.
• Event: Veröffentlichung
• (who): ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft
• (where): Kiel und Hamburg
• (when): 2013

Further information

• Handle: http://hdl.handle.net/10419/79699
• Last update: 10.03.2025, 11:43 AM CET