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The European Green Deal and the German Resource Efficiency Programme both aim at decoupling resource consumption and associated environmental burdens from economic growth. Monitoring the progress of such policies requires robust estimates of environmental pressures and impacts, both from a domestic and a footprint perspective. Building on the life cycle assessment‐based consumption footprint (CoF) indicator, developed by the European Commission Joint Research Centre, we assess the environmental impacts of Germany's consumption in the areas of food, mobility, housing, household goods, and appliances during the period 2010–2018. A comparison between European and national consumption statistics revealed some differences in terms of data composition, granularity, consumption intensities, and calculated environmental impacts. Using national data sources results in slightly lower environmental impacts (e.g., due to differences in the assessment scope of national statistics) and requires some data preparation to match the CoF indicator. Emerging consumption trends can be highlighted using national data. Both data sources converge on main trends: Germany transgresses the safe operating space for several impact categories, with consumption of food, household goods, and mobility being the main drivers. Domestic impacts have decreased over time at the expense of outsourcing environmental pressures and impacts to other countries. The CoF indicator could complement resource monitoring frameworks and might be further aligned to the national context using country‐level consumption statistics and life cycle inventory data. [ABSTRACT FROM AUTHOR]

This study examines the relationship between energy security, energy equity, and environmental sustainability from the perspective of economic growth and CO 2 emissions. For this purpose, this study utilizes the energy trilemma index (ETI) 2018 of the World Energy Council (WEC) to measure, evaluate and assess the energy efficiency of the top ten best-performing countries around the world. This study formulates an interval decision matrix to apply Principal Components Analysis (PCA) by reducing a large set into a small set of underlying variables with comprehensive information. Finally, this study uses the Fuzzy-TOPSIS method to determine the comprehensive ranks of all countries. This study shows that Denmark holds overall first rank in energy efficiency with a score of one in energy security, eleven in energy equity, and seventeen in environmental sustainability. In contrast, Germany has dominated all top ten performers by energy and environmental progress, which cannot be shirker within the UK's social progress concept. Thus, with ceteris paribus, a higher energy price will indicate a higher degree of scarcity of energy sources, encouraging working for cheaper and renewable alternatives and ultimately influencing the energy supply side. Carbon valuation can reduce greenhouse emissions by paying the extra dollar to the enterprise for less emission. It will lead to changing energy consumption structures and make it a cleaner choice for profit maximization. • Energy Trilemma Index of World Energy Council 2018 has been evaluated. • Fuzzy-TOPSIS and Principal Components Analysis applied to 10 best-performing countries. • Denmark led in energy efficiency while Germany dominated in environmental progress. • A higher energy price will indicate a higher degree of scarcity of energy sources. • CO 2 valuation can reduce emissions by paying extra $ to enterprise for less emission. [ABSTRACT FROM AUTHOR]