DEA APPLICATION TO EVALUATE THE TECHNICAL AND ECOLOGICAL EFFICIENCY OF WATER PRICING POLICIES
Giacomo Giannoccaro,
Maurizio Prosperi and
G. Zanni
No 6499, 107th Seminar, January 30-February 1, 2008, Sevilla, Spain from European Association of Agricultural Economists
Abstract:
With the enforcement of the Water Framework Directive 2000/60/EC (WFD), policy makers are required to pursue the improvement of the use efficiency of the water resources in the agricultural sector. For this purpose, we suggest a methodology to perform an ex-ante analysis of the efficiency of water pricing policies, based on a two stage DEA technique, by which it is possible to disaggregate the technical and the ecological efficiency of the policy. According to our results, we found that, coherently with the WFD principles, the direct pricing methods show the highest levels of efficiency. However, we have also found that some indirect pricing methods show relatively high levels of efficiency. Therefore, since the high cost for the management and implementation of water measurement devices required to apply the volumetric methods, indirect pricing methods might still be preferable.
Keywords: Resource/Energy; Economics; and; Policy (search for similar items in EconPapers)
Pages: 14
Date: 2008
New Economics Papers: this item is included in nep-eff and nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ageconsearch.umn.edu/record/6499/files/cp08gi18.pdf (application/pdf)
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:ags:eaa107:6499
DOI: 10.22004/ag.econ.6499
Access Statistics for this paper
More papers in 107th Seminar, January 30-February 1, 2008, Sevilla, Spain from European Association of Agricultural Economists Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().