ETC/ATNI Report 04/2020: Costs of air pollution from European industrial facilities 2008–2017
The calculated marginal damage cost dataset covers impacts on health, agriculture and forests, building materials and ecosystems. It differs to the dataset in the EEA report (2014) due to the amendments made:
- to the source-receptor matrices;
- to the year of reference for the prices used;
- to the updating of unit values used to monetise mortality;
- and the inclusion of additional health impacts (specifically mortality due to heavy metals and organic pollutants).
This is the first time that a complete set of sectorial adjustment factors has been calculated for exposure to PM2.5s and NO2 for each country and business sector, making it possible to take into account the differences in emission dispersion and distance to the population among different emission sources(2).
The study estimates that the aggregate cost of the damages, caused by the industrial emissions declared by industrial entities to E-PRTR, has reduced between 2008 and 2017, by:
- 54 % for the main atmospheric pollutants;
- 19 % for greenhouse gases;
- 43 % for heavy metals;
- 60 % for organic pollutants.
A limited number of facilities are the originators of the majority of the damage. For example, in 2017, 1.8 % of facilities that declared their emissions represented 50% of the estimated damage for the main atmospheric pollutants and greenhouse gases.
It should be noted that the estimated damages in this report remain lower than the total damages caused by the total emissions of the countries studied, as all entities are not obligated to declare their emissions to E-PRTR.
The cost of damages caused by industrial facilities are also shown by individual pollutant, by country and by sector. The classification of countries by absolute damage, produced by ETC/ATNI, is affected by the number of industrial sites located there and by the level of output. This can skew the analysis in terms of reduction of industrial emissions for a country that has a large number of sites, or has large-scale sites. To counter this bias, we have weighted the costs of damage by the Gross Domestic Product (GDP) in order to represent the country’s industrial output. This is an imperfect proxy, but it makes it possible to achieve a different ranking of countries, and thereby demonstrates the sensitivity of the conclusions that can be drawn from the study.
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Authors: Simone Schucht, Elsa Real, Laurent Létinois, Augustin Colette, Mike Holland, Joseph V. Spadaro, Laurence Opie, Rosie Brook, Lucy Garland, Mark Gibbs