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Evaluating environmental questions is a crucial issue in today’s economic research and policy making. The Green-SÖP offers a comprehensive data base to enrich an empirically led scientific discourse as a survey data set on environmental and energy-related topics in Germany. The data set on more than 6000 households was collected by RWI – Leibniz Institute for Economic Research and partners between 2012 and 2016. The questions are very diverse and range from personal attitudes to environmental policy issues with a special focus on the consequences of climate change and individual behaviors as well as opinions on ecologically related matters.

Empirical evidence on households’ awareness of electricity prices and potentially divergent demand responses to price changes conditional on price knowledge is scant. Using panel data originating from Germany’s Residential Energy Consumption Survey (GRECS), we fill this void by employing an instrumental-variable (IV) approach to cope with the endogeneity of the consumers’ tariff choice. By additionally exploiting information on the households’ knowledge about power prices, we combine the IV approach with an Endogenous Switching Regression Model to estimate price elasticities for two groups of households, finding that only those households that are informed about prices are sensitive to price changes, whereas the electricity demand of uninformed households is entirely price-inelastic. Based on these results, to curb the electricity consumption of the household sector and its environmental impact, we suggest implementing low-cost information measures on a large scale, such as improving the transparency of tariffs, thereby increasing the saliency of prices.

Discusses the relevance of soy beans in the diet of dogs. Nutritional components of dog foods; Determination of the quality of protein in pet food; Vitamin content of soy beans.