Integrated environmental-economic modelling for cross sectoral water policy evaluation

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Integrated environmental-economic modelling for cross sectoral water policy evaluation. / Filippelli, Raphael; Termansen, Mette; Hasler, Berit; Holbach, Andreas; Timmermann, Karen; Konrad, Maria; Levin, Gregor.

I: Water Resources and Economics, Bind 47, 100245, 07.2024.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Filippelli, R, Termansen, M, Hasler, B, Holbach, A, Timmermann, K, Konrad, M & Levin, G 2024, 'Integrated environmental-economic modelling for cross sectoral water policy evaluation', Water Resources and Economics, bind 47, 100245. https://doi.org/10.1016/j.wre.2024.100245

APA

Filippelli, R., Termansen, M., Hasler, B., Holbach, A., Timmermann, K., Konrad, M., & Levin, G. (2024). Integrated environmental-economic modelling for cross sectoral water policy evaluation. Water Resources and Economics, 47, [100245]. https://doi.org/10.1016/j.wre.2024.100245

Vancouver

Filippelli R, Termansen M, Hasler B, Holbach A, Timmermann K, Konrad M o.a. Integrated environmental-economic modelling for cross sectoral water policy evaluation. Water Resources and Economics. 2024 jul.;47. 100245. https://doi.org/10.1016/j.wre.2024.100245

Author

Filippelli, Raphael ; Termansen, Mette ; Hasler, Berit ; Holbach, Andreas ; Timmermann, Karen ; Konrad, Maria ; Levin, Gregor. / Integrated environmental-economic modelling for cross sectoral water policy evaluation. I: Water Resources and Economics. 2024 ; Bind 47.

Bibtex

@article{866a035541bf4617b179669a0691b080,
title = "Integrated environmental-economic modelling for cross sectoral water policy evaluation",
abstract = "The Water Framework Directive (WFD) has set a deadline for 2027 to reach at least good ecological status (GES) in coastal waters in the EU. As nutrient pollution (eutrophication) is one of the main pressures in most EU coastal waters, and Danish waters in particular, significant nutrient reductions are required. In this paper, we take an integrated environmental-economic modelling approach to assess alternative strategies to mitigate non-point source nutrient pollution. A spatially explicit optimization model, TargetEconN, is implemented at the Danish national scale and extended to include mussel production as a marine water quality improvement measure. Different eutrophication mitigation strategies investigated in the model are characterized by whether nitrogen emissions are reduced at the source, between the source and the recipient e.g., by establishing wetlands, or in the recipient itself. We run scenarios exploring the uncertainty in baseline load assumptions and the effects of mussel farming. The results show that the potential for marine measures depends on the baseline load assumptions and that marine measures have a limited impact on the overall costs of achieving GES. The results also show that including marine measures has a significant indirect impact through the influence on the spatial distribution of land-based measures. We conclude that including mussel farming in policy initiatives to meet WFD targets has potential, but that the distributional effects across sectors and spillover effects to other policy targets should be a central part of the ex-ante policy discussions. We argue therefore that spatially explicit integrated modelling, as the model developed for this paper, can offer useful insights to manage the unescapable trade-offs in effective policy design to meet the WFD.",
keywords = "Environmental-economic modelling, Mussel farming, Spatially targeted regulation, Water quality",
author = "Raphael Filippelli and Mette Termansen and Berit Hasler and Andreas Holbach and Karen Timmermann and Maria Konrad and Gregor Levin",
note = "Publisher Copyright: {\textcopyright} 2024",
year = "2024",
month = jul,
doi = "10.1016/j.wre.2024.100245",
language = "English",
volume = "47",
journal = "Water Resources and Economics",
issn = "2212-4284",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Integrated environmental-economic modelling for cross sectoral water policy evaluation

AU - Filippelli, Raphael

AU - Termansen, Mette

AU - Hasler, Berit

AU - Holbach, Andreas

AU - Timmermann, Karen

AU - Konrad, Maria

AU - Levin, Gregor

N1 - Publisher Copyright: © 2024

PY - 2024/7

Y1 - 2024/7

N2 - The Water Framework Directive (WFD) has set a deadline for 2027 to reach at least good ecological status (GES) in coastal waters in the EU. As nutrient pollution (eutrophication) is one of the main pressures in most EU coastal waters, and Danish waters in particular, significant nutrient reductions are required. In this paper, we take an integrated environmental-economic modelling approach to assess alternative strategies to mitigate non-point source nutrient pollution. A spatially explicit optimization model, TargetEconN, is implemented at the Danish national scale and extended to include mussel production as a marine water quality improvement measure. Different eutrophication mitigation strategies investigated in the model are characterized by whether nitrogen emissions are reduced at the source, between the source and the recipient e.g., by establishing wetlands, or in the recipient itself. We run scenarios exploring the uncertainty in baseline load assumptions and the effects of mussel farming. The results show that the potential for marine measures depends on the baseline load assumptions and that marine measures have a limited impact on the overall costs of achieving GES. The results also show that including marine measures has a significant indirect impact through the influence on the spatial distribution of land-based measures. We conclude that including mussel farming in policy initiatives to meet WFD targets has potential, but that the distributional effects across sectors and spillover effects to other policy targets should be a central part of the ex-ante policy discussions. We argue therefore that spatially explicit integrated modelling, as the model developed for this paper, can offer useful insights to manage the unescapable trade-offs in effective policy design to meet the WFD.

AB - The Water Framework Directive (WFD) has set a deadline for 2027 to reach at least good ecological status (GES) in coastal waters in the EU. As nutrient pollution (eutrophication) is one of the main pressures in most EU coastal waters, and Danish waters in particular, significant nutrient reductions are required. In this paper, we take an integrated environmental-economic modelling approach to assess alternative strategies to mitigate non-point source nutrient pollution. A spatially explicit optimization model, TargetEconN, is implemented at the Danish national scale and extended to include mussel production as a marine water quality improvement measure. Different eutrophication mitigation strategies investigated in the model are characterized by whether nitrogen emissions are reduced at the source, between the source and the recipient e.g., by establishing wetlands, or in the recipient itself. We run scenarios exploring the uncertainty in baseline load assumptions and the effects of mussel farming. The results show that the potential for marine measures depends on the baseline load assumptions and that marine measures have a limited impact on the overall costs of achieving GES. The results also show that including marine measures has a significant indirect impact through the influence on the spatial distribution of land-based measures. We conclude that including mussel farming in policy initiatives to meet WFD targets has potential, but that the distributional effects across sectors and spillover effects to other policy targets should be a central part of the ex-ante policy discussions. We argue therefore that spatially explicit integrated modelling, as the model developed for this paper, can offer useful insights to manage the unescapable trade-offs in effective policy design to meet the WFD.

KW - Environmental-economic modelling

KW - Mussel farming

KW - Spatially targeted regulation

KW - Water quality

U2 - 10.1016/j.wre.2024.100245

DO - 10.1016/j.wre.2024.100245

M3 - Journal article

AN - SCOPUS:85196307847

VL - 47

JO - Water Resources and Economics

JF - Water Resources and Economics

SN - 2212-4284

M1 - 100245

ER -

ID: 398720292