Data/hora: 15/06/2024 22:33:09

Provedor de dados: | 31
País: | United States
Título: | An Integrated Assessment approach to linking biophysical modelling and economic valuation tools
Autores: | Kragt,   Marit Ellen; Bennett,   Jeffrey W.; Jakeman,   Tony.
Data: | 2010-10-20
Ano: | 2010
Palavras-chave: | Bayesian networks; Bio-economic modelling; Catchment management; Cost-benefit analysis; Environmental values; Integrated assessment and modelling; Non-market valuation; Riparian vegetation; Environmental Economics and Policy; Research Methods/ Statistical Methods.
Resumo: | Natural resource management (NRM) typically involves complex decisions that affect a variety of stakeholder values. Efficient NRM, which achieves the greatest net environmental, social and financial benefits, needs to integrate the assessment of environmental impacts with the costs and benefits of investment. Integrated assessment (IA) is one approach that incorporates the several dimensions of catchment NRM, by considering multiple issues and knowledge from various disciplines and stakeholders. Despite the need for IA, there are few studies that integrate biophysical modelling tools with economic valuation.  In this paper, we demonstrate how economic non-market valuation tools can be used to support an IA of catchment NRM changes. We develop a Bayesian Network model that integrates: a process-based water quality model; ecological assessments of native riparian vegetation; estimates of management costs; and non-market (intangible) values of changes in riparian vegetation. This modelling approach illustrates how information from different sources can be integrated in one framework to evaluate the environmental and economic impacts of NRM actions. It also shows the uncertainties associated with the estimated welfare effects. By estimating the marginal social costs and benefits, a cost-benefit analysis of alternative management intervention can be gained and provides more economic rationality to NRM decisions.
Tipo: | Report
Idioma: | Inglês

Identificador:

ISSN 1835-9728

http://purl.umn.edu/94949

Relação:

Australian National University&gt;Environmental Economics Research Hub&gt;Research Reports

Environmental Economics Research Hub Research Report

53

Formato: | 27