Der heutige energetische Sanierungsbedarf des Gebäudebestands in Deutschland ist ein über Jahrzehnte qua irregeleiteter Auslegung produzierter. Inzwischen hat der technische Fortschritt erreicht, was zu erwarten war: Das Null-Energie-Haus, sogar das Plus-Energie-Haus sind heute möglich geworden. Beide sind auch "wirtschaftlich" - sofern man neu baut. Und selbstverständlich nur bei einem geklärten Verständnis von "wirtschaftlich", insbesondere im anstehenden Gebäude-Energie-Gesetz (GEG).
Addressing food waste prevention is one target of the Sustainable Development Goals (SDGs) and a major task for the UN Environmental Programme and the European Commission. It is promising in terms of its environmental saving potential. However, it also leads to consumers being able to save money, which they then are likely to spend, thus again causing a negative environmental impact. This dimension of the so-called indirect rebound effect, which prevents the desired ecological benefits from being achieved, is investigated in this paper. By using a single-region environmentally extended input-output model from a production perspective, the indirect rebound effects from food waste prevention in Germany are analysed. Any political action needs to consider not only a differentiation in income class, but also alternative concepts such as the principles of sufficiency in order to achieve all ecological benefits and specifically the third target of SDG 12.
To contribute to a better understanding of consumer food leftovers and to facilitate their reduction in out-of-home settings, our study analyzes the effects of two common intervention strategies for reducing leftovers in a holistic behavioral model. Based on a quasi-experimental baseline-intervention design, we analyzed how the display of information posters and the reduction of portion sizes take an effect on personal, social and environmental determinants in a structural equation model. Applying data from online surveys and observations among 880 guests (503 baseline, 377 intervention) during two weeks in a university canteen, the suggested model allows to assign effects from the two interventions on plate leftovers to specific changes in behavioral determinants. Portion size reductions for target dishes are found to relate to lower levels of plate waste based on conscious perception, represented in smaller portion size ratings. Effects from seeing information posters are found to base on changed personal attitudes, subjective norms and perceived behavioral control. However, depending on how an individual reacts to the information (by only making an effort to finish all food or by making an effort and additionally choosing a different dish in the canteen) there are opposite effects on these determinants and consequently also on plate leftovers. Overall, the differentiated results on intervention effects strongly support the benefits of more holistic and in-depth analyses of interventions to reduce plate leftovers and therefore to contribute to more sustainable food consumption in out-of-home settings.
With the introduction of the Roadmap to a Resource Efficient Europe (2011) and the more recent commitment of The Action Plan towards the Circular Economy (2015), the European Commission (EC) has expressed its fundamental interest to substantially improve the resource efficiency of the European economy and enable the transition towards the Circular Economy (CE). This policy push has meanwhile been complemented by some quite ambitious national programmes for RE and CE and institutional advances but it is not yet bound to targets or mandatory reporting.
Against this background, the objective of this paper is to give a comprehensive overview of the current policy frameworks at EU and a selection of MSs and provide insights into the elements shaping policy processes. The analytical framework relies on three essential interconnected components: the policy framework, the economic incentive system and economic side policies which are relevant in the context of RE and CE and actor constellations. The paper does this looking at the interface between EU-MSs. The analysis is based on different empirical surveys in which the policy development is observed and discussed (EEA 2011, 2016a, 2016b, EIO 2013, 2014, 2016) and a comprehensive review of legislative and policy frameworks at the EU and selected MSs, undertaken as part of the project POLFREE (Policy option for a Resource-Efficient Economy) (Domenech et al., 2014, Bahn-Walkowiak et al., 2014). The analysis reveals that policy frameworks for RE/CE are complex and fragmented as competing goals and visions reduce effectiveness of measures. The paper makes recommendations as to how EU and MS policies could improve RE in a coordinated way, but recognizes that achieving such coordination will be challenging in the current political context.
The "fuzzy front end" of innovation is argued to be crucial for the success and sustainability impact of a final product. Indeed, it is a promising area of focus in efforts to achieve the United Nations' 2015 Sustainable Development Goals (SDGs), which provide a globally accepted framework for sustainability. However, the usability of the 17 goals and the large number of sub-goals represent barriers to innovation practitioners. Moreover, this early innovation stage proves to be a challenge for corporate practitioners and innovators, largely due to the concept's intangible, qualitative nature and the lack of data. To help overcome these barriers, this article proposes a four-stage approach for structuring the innovation process using an online tool called the "SDG-Check", which help assess an innovator's sustainability orientation in the early phases of product and service development. It is a semi-quantitative tool to gather and combine assessments by experts involved in innovation processes with implications for the United Nations' SDGs. Furthermore, this article presents our first experiences in applying the SDG-Check based on three living lab innovation cases. The results indicate that the tools can support and inspire a dialogue with internal and external stakeholders with regards to sustainability considerations in the early design stages of product and service development.
A significant reduction in greenhouse gas emissions will be necessary in the coming decades to enable the global community to avoid the most dangerous consequences of man-made global warming. This fact is reflected in Germany's 7th Federal Energy Research Program (EFP), which was adopted in 2018. Direct Air Capture (DAC) technologies used to absorb carbon dioxide (CO2) from the atmosphere comprise one way to achieve these reductions in greenhouse gases. DAC has been identified as a technology (group) for which there are still major technology gaps. The intention of this article is to explore the potential role of DAC for the EFP by using a multi-dimensional analysis showing the technology's possible contributions to the German government's energy and climate policy goals and to German industry's global reputation in the field of modern energy technologies, as well as the possibilities of integrating DAC into the existing energy system. The results show that the future role of DAC is affected by a variety of uncertainty factors. The technology is still in an early stage of development and has yet to prove its large-scale technical feasibility, as well as its economic viability. The results of the multi-dimensional evaluation, as well as the need for further technological development, integrated assessment, and systems-level analyses, justify the inclusion of DAC technology in national energy research programs like the EFP.
The current global momentum for carbon pricing has lately produced innovative hybrids: carbon taxes allowing the use of offsets from emission sources not targeted by the carbon tax for compliance with the tax load. This study aims at filling the knowledge gap in existing literature by exploring the potential impacts of domestic offset components in carbon taxes on mitigation of national emissions, including the country examples Colombia, Mexico and South Africa.
The findings indicate that the use of offsets in carbon taxes may significantly influence mitigation of national emissions both positively and negatively. On the one hand, this model may result in real emission reductions from offset projects and positive spillover effects of efforts to reduce emissions from emission sources covered by the carbon tax to other emission sources. Furthermore, the offsetting component can be used as a bargaining chip in political negotiations facilitating the introduction of mitigation policies and measures and/or strengthening their ambition level. On the other hand, it also entails serious risks: Offsetting could compromise the environmental integrity of the carbon tax through low-quality offsets. Furthermore, offsets reduce incentives to curb emissions in the emission sources covered by the carbon tax, potentially leading to carbon lock-in effects. Moreover, an offsetting component could provoke opposition to further climate policies and measures for emission sources generating offsets, as replacing the offsetting component with mandatory emission reduction policies would eliminate revenues from offset credits. General opposition of stakeholder groups to the introduction of offsets may even hinder the introduction of carbon pricing instruments and offsetting altogether.
The study identifies options that could be employed to increase potential positive effects of introducing an offset component to a carbon tax and mitigate related risks, pointing to the country examples included, where appropriate.
The implementation of energy efficiency improvement actions not only yields energy and greenhouse gas emission savings, but also leads to other multiple impacts such as air pollution reductions and subsequent health and eco-system effects, resource impacts, economic effects on labour markets, aggregate demand and energy prices or on energy security. While many of these impacts have been studied in previous research, this work quantifies them in one consistent framework based on a common underlying bottom-up funded energy efficiency scenario across the EU. These scenario data are used to quantify multiple impacts by energy efficiency improvement action and for all EU28 member states using existing approaches and partially further developing methodologies. Where possible, impacts are integrated into cost-benefit analyses. We find that with a conservative estimate, multiple impacts sum up to a size of at least 50% of energy cost savings, with substantial impacts coming from e.g., air pollution, energy poverty reduction and economic impacts.
Footprint calculators are efficient tools to monitor the environmental impact of private consumption. We present the results of an analysis of data entered into an online Material Footprint calculator undertaken to identify the socioeconomic drivers of the Material Footprint in different areas of consumption, from housing to holidaymaking. We developed regression models to reveal (1) the impact of socioeconomic characteristics on Material Footprints of private households and (2) correlations between the components of Material Footprints for different arrays of consumption. Our results show that an increasing Material Footprint in one array of consumption comes with an increasing Material Footprint in all other arrays, with the exception of housing and holidaymaking. The socioeconomic characteristics of users have a significant impact on their Material Footprints. However, this impact varies by the array of consumption. Households only exhibit generally bigger Material Footprints as a result of higher incomes and larger dwellings. We conclude that indicators which strive to monitor resource efficiency should survey disaggregated data in order to classify the resource use to different population groups and arrays of consumption.
Green Information Systems in general, and footprint calculators in particular, are promising feedback tools to assist people in adopting sustainable behaviour. Therefore, a Material Footprint model for use in an online footprint calculator was developed by identifying the most important predictors of the Material Footprint of the calculator's users. By means of statistical learning, the analysis revealed that 22 of the 95 predictors identified accounted for 74% of the variance in Material Footprints. Ten predictors out of the 95, mainly from the mobility domain, were capable of showing a prediction accuracy of 61%. The authors conclude that 22 predictors from the areas of mobility, housing and nutrition, as well as sociodemographic information, accurately predict a person's Material Footprint. The short and concise Material Footprint model may help developers and researchers to enhance their information systems with additional items while ensuring the data quality of such applications.