Open Access

Sustainable Development Goal 12 (SDG 12) requires sustainable production and consumption. One indicator named in the SDG for resource use is the (national) material footprint. A method and disaggregated data basis that differentiates the material footprint for production and consumption according to, e.g., sectors, fields of consumption as well as socioeconomic criteria does not yet exist. We present two methods and its results for analyzing resource the consumption of private households based on microdata: (1) an indicator based on representative expenditure data in Germany and (2) an indicator based on survey data from a web tool. By these means, we aim to contribute to monitoring the Sustainable Development Goals, especially the sustainable management and efficient use of natural resources. Indicators based on microdata ensure that indicators can be disaggregated by socioeconomic characteristics like age, sex, income, or geographic location. Results from both methods show a right-skewed distribution of the Material Footprint in Germany and, for instance, an increasing Material Footprint with increasing household income. The methods enable researchers and policymakers to evaluate trends in resource use and to differentiate between lifestyles and along socioeconomic characteristics. This, in turn, would allow us to tailor sustainable consumption policies to household needs and restrictions.

Die Umweltauswirkungen von Teil-, Miet- oder Tauschangeboten aus dem Bereich der Sharing Economy werden zumeist aus einer Nachhaltigkeitsperspektive betrachtet und dementsprechend mit einer Verminderung des Ressourcenverbrauchs sowie einer gesteigerten Ressourceneffizienz verbunden. Handelt es sich bei Sharing Economy tatsächlich um eine ressourcenschonende, energieeffiziente und für den "Massenmarkt" geeignete Konsumalternative oder haben wir es vielmehr mit einer kurzzeitigen Nischeninnovation einzelner Lifestyle-Communities zu tun?