Environmental benefits and social cost: an example of combining Bayesian networks and economic models for analysing pesticide management instruments

H.J. Henriksen; J. Kjær; W. Brüsh; Lars-Bo Jacobsen; Jørgen Dejgård Jensen; D. Grinderslev; P. Andersen

doi:10.2166/nh.2007.017

Environmental benefits and social cost: an example of combining Bayesian networks and economic models for analysing pesticide management instruments

H.J. Henriksen, J. Kjær, W. Brüsh, Lars-Bo Jacobsen, Jørgen Dejgård Jensen, D. Grinderslev, P. Andersen

4 Citations (Scopus)

Abstract

There is a need for introducing interdisciplinary tools and approaches in water management for participatory integrated assessment of water protection costs and environmental benefits for different management scenarios. This is required for the Water Framework Directive. Bayesian belief networks (BN) are one example of a possible tool for participatory integrated assessment. BNs allow knowledge and data from economic, social and hydrological domains to be integrated in a transparent, coherent and equitable way. The paper reports on the construction of a BN to assess impacts of pesticide management actions on agricultural economics and groundwater and drinking water quality, with the overall aim of exploring complexity and uncertainties

Original language	English
Journal	Hydrology Research
Volume	38
Issue number	4-5
Pages (from-to)	351-371
Number of pages	21
ISSN	0029-1277
DOIs	https://doi.org/10.2166/nh.2007.017
Publication status	Published - 2007

Keywords

Former LIFE faculty
Bayesian belief networks
cost-benefit
groundwater contamination
integrated water resource management
pesticides

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.2166/nh.2007.017

Cite this

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title = "Environmental benefits and social cost: an example of combining Bayesian networks and economic models for analysing pesticide management instruments",

abstract = "There is a need for introducing interdisciplinary tools and approaches in water management for participatory integrated assessment of water protection costs and environmental benefits for different management scenarios. This is required for the Water Framework Directive. Bayesian belief networks (BN) are one example of a possible tool for participatory integrated assessment. BNs allow knowledge and data from economic, social and hydrological domains to be integrated in a transparent, coherent and equitable way. The paper reports on the construction of a BN to assess impacts of pesticide management actions on agricultural economics and groundwater and drinking water quality, with the overall aim of exploring complexity and uncertainties",

keywords = "Former LIFE faculty, Bayesian belief networks, cost-benefit, groundwater contamination, integrated water resource management, pesticides",

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T2 - an example of combining Bayesian networks and economic models for analysing pesticide management instruments

AU - Henriksen, H.J.

AU - Kjær, J.

AU - Brüsh, W.

AU - Jacobsen, Lars-Bo

AU - Jensen, Jørgen Dejgård

AU - Grinderslev, D.

AU - Andersen, P.

N1 - JEL Classification: Q25, Q53

PY - 2007

Y1 - 2007

N2 - There is a need for introducing interdisciplinary tools and approaches in water management for participatory integrated assessment of water protection costs and environmental benefits for different management scenarios. This is required for the Water Framework Directive. Bayesian belief networks (BN) are one example of a possible tool for participatory integrated assessment. BNs allow knowledge and data from economic, social and hydrological domains to be integrated in a transparent, coherent and equitable way. The paper reports on the construction of a BN to assess impacts of pesticide management actions on agricultural economics and groundwater and drinking water quality, with the overall aim of exploring complexity and uncertainties

AB - There is a need for introducing interdisciplinary tools and approaches in water management for participatory integrated assessment of water protection costs and environmental benefits for different management scenarios. This is required for the Water Framework Directive. Bayesian belief networks (BN) are one example of a possible tool for participatory integrated assessment. BNs allow knowledge and data from economic, social and hydrological domains to be integrated in a transparent, coherent and equitable way. The paper reports on the construction of a BN to assess impacts of pesticide management actions on agricultural economics and groundwater and drinking water quality, with the overall aim of exploring complexity and uncertainties

KW - Former LIFE faculty

KW - Bayesian belief networks

KW - cost-benefit

KW - groundwater contamination

KW - integrated water resource management

KW - pesticides

U2 - 10.2166/nh.2007.017

DO - 10.2166/nh.2007.017

M3 - Journal article

SN - 1998-9563

VL - 38

SP - 351

EP - 371

JO - Hydrology Research

JF - Hydrology Research

IS - 4-5

ER -

Environmental benefits and social cost: an example of combining Bayesian networks and economic models for analysing pesticide management instruments

Abstract

Keywords

UN SDGs

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