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

Benjamin Hampf and Jens J. Krüger

American Journal of Agricultural Economics, 2015, vol. 97, issue 3, 920-938

Abstract: This article 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 approximately 20% compared with current levels.

Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (23)

Downloads: (external link)
http://hdl.handle.net/10.1093/ajae/aau035 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:ajagec:v:97:y:2015:i:3:p:920-938.

Access Statistics for this article

American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu

More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().