2014
DOI: 10.1007/s10640-014-9790-z
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Policy Goals for Improved Water Quality in the Baltic Sea: When do the Benefits Outweigh the Costs?

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Cited by 33 publications
(35 citation statements)
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“…The largest body of nitrogen-related economic literature is concerned with government policies for reducing nitrogen pollution. A number of studies have quantified in monetary terms the benefits of policies to reduce nitrogen pollution (Morgan and Owens 2001;Poor et al 2007) or undertaken Benefit: Cost Analysis of pollution-reduction programs (Hyytiäinen et al 2015).…”
Section: Policy-level Economicsmentioning
confidence: 99%
“…The largest body of nitrogen-related economic literature is concerned with government policies for reducing nitrogen pollution. A number of studies have quantified in monetary terms the benefits of policies to reduce nitrogen pollution (Morgan and Owens 2001;Poor et al 2007) or undertaken Benefit: Cost Analysis of pollution-reduction programs (Hyytiäinen et al 2015).…”
Section: Policy-level Economicsmentioning
confidence: 99%
“…Additionally, the studied setup is not a cost-effective measure for reducing N and P, if one disregards sales revenue. Marginal costs are 800 €/kg N and 5 400 €/kg P, which is higher than the marginal cost of most land-based measures 23 . However, taking revenue into account, the marginal cost for N and P reductions using seaweed cultivation is negative, making this measure highly cost-effective.…”
Section: Resultsmentioning
confidence: 78%
“…Improvements in water quality have the greatest benefits on countries with the largest coastlines, such as Sweden, Finland and Estonia. However, the costs are higher for the countries whose water drains into the sub-basins that are in the poorest ecological state, and thus have the greatest nutrient abatement targets [35]. According to one study, the total cost for meeting country reduction nutrient targets are 1978 M euros, with the highest costs per GDP being borne by the poorest countries (Sweden-54, Finland-158, Russia-536, Estonia-158, Latvia-136, Lithuania-72, Poland-776, Germany-86 and Denmark-3 (M Euros).…”
Section: Trade-offs Across Users Rural and Urban Areas And Generationsmentioning
confidence: 99%