No abstract

No abstract

This study compares the environmental impacts of meatless and meat-containing meals in the United States according to consumption data in order to identify commercial opportunities to lower environmental impacts of meals. Average consumption of meal types (breakfast, lunch, dinner) were assessed using life cycle assessment. Retail and consumer wastes, and weight losses and gains through cooking, were used to adjust the consumption quantities to production quantities. On average, meatless meals had more than a 40% reduction in environmental impacts than meat-containing meals for any of the assessed indicators (carbon footprint, water use, resource consumption, health impacts of pollution, and ecosystem quality). At maximum and minimum for carbon footprint, meat-containing dinners were associated with 5 kgCO2e and meatless lunches 1 kg CO2e. Results indicate that, on average in the US, meatless meals lessen environmental impacts in comparison to meat-containing meals; however, animal products (i.e., dairy) in meatless meals also had a substantial impact. Findings suggest that industrial interventions focusing on low-impact meat substitutes for dinners and thereafter lunches, and low-impact dairy substitutes for breakfasts, offer large opportunities for improving the environmental performance of the average diet.

No abstract

How can private households contribute to a more resource-efficient food production system? The importance of meat consumption has previously been highlighted. Various life-cycle analysis studies suggest which products are favourable from an ecological point of view. This study uses a material flux analysis to assess material and energy fluxes of the entire system of food production and consumption. It compares different steps in production and consumption as well as different product categories. The results reveal that agricultural production and private households account for most of the system's energy requirements. The outcomes of two possible initiatives taken by private households are analysed by scenario calculation. It compares optimization of technical devices in private households with purchase decisions that favour organically produced food products. The results reveal an astonishing optimization potential of cooling devices in private households. However, it also shows the importance of specific parameters, such as the energy-mix coefficient.