Environmental benefits and social cost: an example of combining Bayesian networks and economic models for analysing pesticide management instruments
Research output: Contribution to journal › Journal article › peer-review
Standard
Environmental benefits and social cost : an example of combining Bayesian networks and economic models for analysing pesticide management instruments. / Henriksen, H.J.; Kjær, J.; Brüsh, W.; Jacobsen, Lars-Bo; Jensen, Jørgen Dejgård; Grinderslev, D.; Andersen, P.
In: Hydrology Research, Vol. 38, No. 4-5, 2007, p. 351-371.Research output: Contribution to journal › Journal article › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Environmental benefits and social cost
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
VL - 38
SP - 351
EP - 371
JO - Hydrology Research
JF - Hydrology Research
SN - 1998-9563
IS - 4-5
ER -
ID: 1554216