Economic valuation of biodiversity: A comparative study
Peter Nijkamp,
Gabriella Vindigni and
Paulo Nunes ()
Ecological Economics, 2008, vol. 67, issue 2, 217-231
Abstract:
In recent years, an intensive debate on the economic valuation of biodiversity has entered the environmental-economics literature. The present paper seeks to offer first a critical review of key concepts that are essential for a proper understanding of such evaluation issues. Particular attention is given here to various monetary valuation approaches and to comparative (i.e., meta-analytical) methods from the perspective of conservation and sustainable use of biodiversity. Several illustrative examples are presented in order to highlight the usefulness of the various approaches discussed. Next, an attempt is made to infer general findings and lessons from past applied research by means of meta-analysis. In this context, a multi-dimensional technique originating from the field of artificial intelligence is deployed. It allows us to identify the most important variables responsible for changes in economic estimates of biodiversity.
Keywords: Meta-analysis; Biodiversity; values; Policy; formulation; Non-market; valuation; methods; Market; valuation; methods; Benefit; transfer (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (47)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0921-8009(08)00133-X
Full text for ScienceDirect subscribers only
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:eee:ecolec:v:67:y:2008:i:2:p:217-231
Access Statistics for this article
Ecological Economics is currently edited by C. J. Cleveland
More articles in Ecological Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().