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Das Fortschreiten des Klimawandels und die Schädigung der Ökosysteme machen deutlich, dass die seit Jahrzehnten international geforderte nachhaltige Entwicklung zu den wichtigsten Herausforderungen gehören.
Um die von den Vereinten Nationen in der Agenda 2030 festgeschriebenen Nachhaltigkeitsziele, den sogenannten Sustainable Development Goals (SDGs), zu erreichen, sind alle relevanten Akteurinnen und Akteure - die Politik, die Wirtschaft sowie jede und jeder Einzelne - gefragt.
Eine nachhaltige Entwicklung, die zugleich Umweltschonung, stabile wirtschaftliche und gesellschaftliche Entwicklung sowie soziale Gerechtigkeit berücksichtigt, beruht damit auf der Kompetenz oder auch der "Literacy" der Einzelnen, für sich und im Kollektiv nachhaltiges Handeln auszuüben und im gegenseitigen Miteinander fördern zu können. Doch welche Fähigkeiten sind notwendig, um nachhaltig Handeln zu können? Welche Fähigkeiten brauchen insbesondere Konsumentinnen und Konsumenten, um ihre Produktions- und Konsummuster nachhaltiger (mit-)gestalten zu können?
Antworten darauf liefert die "Literacy für nachhaltigen Konsum", die in dem vorliegenden Diskussionspapier entwickelt und vorgestellt wird.
Practices and research on measuring traditionally urban sustainability abound, therefore the challenge now is related to how the urban carbon issues are included into current measuring methods, thus there is a need to develop methods for measuring urban low-carbon sustainability. In this paper, a simple method, which is based on low-carbon sustainability index, is developed. The overall urban low-carbon sustainability index is the weighted sum of 11 single indices, and each single index is defined as the indicator assessing the development level against the baseline. The baseline is often the criteria or the minimum requirement of low-carbon sustainability. Case studies in four Chinese cities have put this method into practice, and the results show that all four selected cities fail to pass the testing of sensible low-carbon sustainability rule and they are all in weakly low-carbon sustainable development. Although the four cities have made great progress in their capacity building on pollution control and their capacities on wastewater treatment, main pollutants' removal and household and hazardous wastes treatment are enough to meet the needs of local development, they are all facing the great challenges on using of sustainable energy, offsetting of CO2 emissions and adoptions of nature-based solutions. The method developed by this research is a useful tool for decision makers identifying whether the local development is not on a low-carbon sustainable path.
Energy sufficiency is one of the three energy sustainability strategies, next to energy efficiency and renewable energies. We analyse to what extent European governments follow this strategy, by conducting a systematic document analysis of all available European National Energy and Climate Plans (NECPs) and Long-Term Strategies (LTSs). We collect and categorise a total of 230 sufficiency-related policy measures, finding large differences between countries. We find most sufficiency policies in the transport sector, when classifying also modal shift policies to change the service quality of transport as sufficiency policies. Types of sufficiency policy instruments vary considerably from sector to sector, for instance the focus on financial incentives and fiscal instruments in the mobility sector, information in the building sector, and financial incentive/tax instruments in cross-sectoral application. Regulatory instruments currently play a minor role for sufficiency policy in the national energy and climate plans of EU member states. Similar to energy efficiency in recent decades, sufficiency still largely referred to as micro-level individual behaviour change or necessary exogenous trends that will need to take place. It is not treated yet as a genuine field of policy action to provide the necessary framework for enabling societal change.
On the pathway to climate neutrality, EU member states are obliged to submit national energy and climate plans (NECPs) with planned policies and measures for decarbonization until 2030 and long-term strategies (LTSs) for further decarbonization until 2050. We analysed the 27 NECPs and 15 LTSs submitted by October 2020 using an interrater method. This paper focuses on energy sufficiency policies and measures in the transport sector.
We found a total of 236 sufficiency policy measures with more than half of them (53 %) in the transport/mobility sector. Additionally, we found 41 measures that address two or more sectors (cross-sectoral measures). From the explicit sufficiency measures within the transport sector, 82 % aim at modal shift. A reduction of transport volumes is much less addressed. Countries plan to use mainly fiscal and economic instruments. Those are in many cases investments in infrastructure of low-carbon transport modes and taxation instruments. Plans on decarbonisation measures are also frequently mentioned. The majority of cross-sectoral measures are carbon taxes or tax reforms, also economic instruments.
On the one hand it is encouraging that Member States strongly emphasize the transport sector in their NECPs and LTSs - at least quantitatively and concerning sufficiency measures - because this sector has been the worst-performing in climate mitigation so far. On the other hand, the measures described seem not sufficient to reach ambitious climate targets, and we doubt that the presented set of policy instruments will get the transport sector on track to mitigate greenhouse gas emissions in the necessary extent.
Im Zeitalter der Machine Economy ist der maschinelle Dialog allgegenwärtig - das bietet neue Chancen für Nachhaltigkeit, erhöht gleichzeitig aber durch die zugrundeliegenden Technologien auch den Druck auf unsere Umwelt. Internet of Things (IoT), Künstliche Intelligenz (KI) und Distributed Ledger Technology (DLT) sind das technologische Fundament der Machine Economy. Damit verbunden sind Infrastrukturen, Datenströme und Anwendungen, die hohe Energie- sowie Ressourcenaufwände erzeugen. Der derzeitige politische Diskurs sowie die Nachhaltigkeitsforschung fokussieren sich auf Umweltwirkungen durch digitale Infrastrukturen. Daten, Applikationen sowie die Rolle von Akteuren als Treiber der Umweltwirkung werden zu wenig beleuchtet. In diesem Papier sprechen sich die Autorinnen und Autoren für eine "Grüne Governance der Machine Economy" aus. Adressiert werden Annahmen zu systemübergreifenden Treibern von Umweltbelastungen und ihrer Wirkung. Ziel ist es, ein Gesamtsystem nachhaltiger Entscheidungen und ein ökologisches Zusammenspiel aller beteiligten Technologien in der Wertschöpfung zu ermöglichen. Zukünftige Forschung soll die hier vorgestellten Hypothesen weiter ausarbeiten und konkrete Handlungsoptionen für eine Stakeholder übergreifende Roadmap erarbeiten.
To limit global warming, the use of carbon capture and storage technologies (CCS) is considered to be of major importance. In addition to the technical-economic, ecological and political aspects, the question of social acceptance is a decisive factor for the implementation of such low-carbon technologies. This study is the first literature review addressing the acceptance of industrial CCS (iCCS). In contrast to electricity generation, the technical options for large-scale reduction of CO2 emissions in the energy-intensive industry sector are not sufficient to achieve the targeted GHG neutrality in the industrial sector without the use of CCS. Therefore, it will be crucial to determine which factors influence the acceptance of iCCS and how these findings can be used for policy and industry decision-making processes. The results show that there has been limited research on the acceptance of iCCS. In addition, the study highlights some important differences between the acceptance of iCCS and CCS. Due to the technical diversity of future iCCS applications, future acceptance research must be able to better address the complexity of the research subject.
The basic materials industries are a cornerstone of Europe's economic prosperity, increasing gross value added and providing around 2 million high-quality jobs. But they are also a major source of greenhouse gas emissions. Despite efficiency improvements, emissions from these industries were mostly constant for several years prior to the Covid-19 crisis and today account for 20 per cent of the EU's total greenhouse gas emissions.
A central question is therefore: How can the basic material industries in the EU become climate-neutral by 2050 while maintaining a strong position in a highly competitive global market? And how can these industries help the EU reach the higher 2030 climate target - a reduction of greenhouse gas emissions of at least 55 per cent relative to 1990 levels?
In the EU policy debate on the European Green Deal, many suppose that the basic materials industries can do little to achieve deep cuts in emissions by 2030. Beyond improvements to the efficiency of existing technologies, they assume that no further innovations will be feasible within that period. This study takes a different view. It shows that a more ambitious approach involving the early implementation of key low-carbon technologies and a Clean Industry Package is not just possible, but in fact necessary to safeguard global competitiveness.
Artificial intelligence in the sorting of municipal waste as an enabler of the circular economy
(2021)
The recently finalized research project "ZRR for municipal waste" aimed at testing and evaluating the automation of municipal waste sorting plants by supplementing or replacing manual sorting, with sorting by a robot with artificial intelligence (ZRR). The objectives were to increase the current recycling rates and the purity of the recovered materials; to collect additional materials from the current rejected flows; and to improve the working conditions of the workers, who could then concentrate on, among other things, the maintenance of the robots. Based on the empirical results of the project, this paper presents the main results of the training and operation of the robotic sorting system based on artificial intelligence, which, to our knowledge, is the first attempt at an application for the separation of bulky municipal solid waste (MSW) and an installation in a full-scale waste treatment plant. The key questions for the research project included (a) the design of test protocols to assess the quality of the sorting process and (b) the evaluation of the performance quality in the first six months of the training of the underlying artificial intelligence and its database.
Reuse is still seen as a "niche phenomenon" and consumers seem to waste economic opportunities linked to buying and selling second-hand products. For this reason, this paper focuses on incentives and barriers to sell and buy second-hand products, as indicated in the literature, and applies a theoretical framework of transaction costs to explain the existing consumption patterns. For this paper, a representative online survey was conducted in which 1023 consumers in Germany participated, age 16 and older. The data were analyzed for statistically significant deviations between different groups of economic actors selling or buying second-hand products. Results show that valuable unused products exist in households, but barriers such as uncertainties about the reliability of the buyer or the quality of the product hinder the transition into sustainable consumption. Different forms of transaction costs are important explanatory variables to explain why consumers nevertheless predominantly buy new products, although they are aware that second-hand would save money and make an individual contribution to climate protection.