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The environmental load from consumption can be reduced by changing consumption patterns. For an effective consumer policy to reduce the environmental
load from society, we need insight into the environmental load from consumption patterns. This requires detailed accurate quantitative environmental
information about many consumer products. Current methods for establishing this information about many consumer products do not combine process data
with multiregional data. This paper aims to give more insight into the added value of using multiregional data and process data. It also proposes to
combine both kinds of data into one application. The use of multiregional inputoutput data appears to be important to establish the total
environmental load from consumption. Using multiregional data and process data both result in substantial changes in the estimated environmental
load of consumption products on a more detailed level. The results indicate that using both multiregional and process data will improve the
estimates of the environmental impacts of consumption patterns. Therefore we propose a hybrid multi-region (HMR) method, which is successfully
applied for the Netherlands.
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