Technological externalities and environmental policy
Isabelle Piot-Lepetit ()
Annals of Operations Research, 2014, vol. 214, issue 1, 48 pages
Abstract:
The directional distance function defined in a DEA type non-parametric framework provides a highly flexible structure for modelling producer behaviour in the presence of polluting emissions and environmental regulations. This article presents five models describing different “command and control” type policy measures as an economic one about nitrogen pollution of agricultural origin. These measures concern the management of the mandatory constraint on the spreading of organic manure and the investment in manure treatment facilities. The study also simulates the use of an economic instrument by enforcing the individual manure constraint at an aggregated level. Using individual and aggregated DEA models, this paper provides insights into the impact of individual and collective management of environmental policy instruments. Copyright Springer Science+Business Media, LLC 2014
Keywords: Directional distance function; Data envelopment analysis; Nitrate pollution; Environmental regulation; European nitrates directive (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10479-010-0744-8 (text/html)
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:spr:annopr:v:214:y:2014:i:1:p:31-48:10.1007/s10479-010-0744-8
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1007/s10479-010-0744-8
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().