Predicting the Material Footprint in Germany between 2015 and 2020 via Seasonally Decomposed Autoregressive and Exponential Smoothing Algorithms

Predicting the Material Footprint in Germany between 2015 and 2020 via Seasonally Decomposed Autoregressive and Exponential Smoothing Algorithms

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....

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Bibliographic Details
Main Authors: Johannes Buhl, Christa Liedtke, Sebastian Schuster, Katrin Bienge
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Resources
Subjects:
material footprint
sustainable consumption
time series analyses
forecasting
Online Access:https://www.mdpi.com/2079-9276/9/11/125

Internet

https://www.mdpi.com/2079-9276/9/11/125

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