TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Buhl, Johannes
A1  - Liedtke, Christa
A1  - Schuster, Sebastian
A1  - Bienge, Katrin
T1  - Predicting the material footprint in Germany between 2015 and 2020 via seasonally decomposed autoregressive and exponential smoothing algorithms
N2  - Recent research on the natural resource use of private consumption suggests a sustainable Material Footprint of 8 tons per capita by 2050 in industrialised countries. We analyse the Material Footprint in Germany from 2015 to 2020 in order to test whether the Material Footprint decreases accordingly. We studied the Material Footprint of 113,559 users of an online footprint calculator and predicted the Material Footprint by seasonally decomposed autoregressive (STL-ARIMA) and exponential smoothing (STL-ETS) algorithms. We find a relatively stable Material Footprint for private consumption. The overall Material Footprint decreased by 0.4% per year between 2015 and 2020 on average. The predictions do not suggest that the Material Footprint of private consumption follows the reduction path of 3.3% per year that will lead to the sustainable consumption of natural resource
T2  - Resources
VL  - 9
Y1  - 2020
UN  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bsz:wup4-opus-76227
U6  - https://dx.doi.org/10.3390/resources9110125
DO  - https://dx.doi.org/10.3390/resources9110125
IS  - 11
ER  -