Improving Environmental Assessment:
Methodological Considerations And
Practical Solutions
Author(s)
F. Bal & J. M. Vleugel
Abstract
In an environmental-economic analysis of a nature area, many explicit and
implicit assumptions are used. Central actors, their preferences and behaviour
concerning environmental goods are described. In tools, such as cost-benefit
analysis, this framework is used to estimate the impact of environmental
management (in particular investment decisions) by governments and other
stakeholders. But, if these assumptions are not (completely) valid and if the
datasets are incomplete and internally inconsistent, then the advice to policy
makers may be incorrect. The impact of (environmental) policies may then
become significantly different from what was expected. This does not
necessarily mean, as some observers or lobbyists might argue, that such policies
itself are useless. They can be influential if their design sufficiently reflects our
knowledge of the system. As we will show, Bayesian synthetical inference is an
interesting method to estimate a function which can be used to quantify the
economic value of nature areas. In this way, possibly enhanced by some form of
standardization, we may be able to increase the reliability of the outcomes of our
analyses and broaden the application area of our tools and data. A practical
example is used to strengthen our point.
Keywords: environmental assessment, meta-analysis, Bayesian, investments.
1 Introduction
In conventional in-depth nature area valuation studies the economic value of a
site is estimated by using preferences of privies concerning the site
Keywords
environmental assessment, meta-analysis, Bayesian, investments.
Related Book
Other papers in this volume
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