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.
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.
Each year, approximately one-third of the food produced for human consumption is lost or wasted worldwide. The waste of resources used for this food has significant environmental impacts in terms of land and water use as well as greenhouse gas emissions. Consequently, one of the targets of the UN sustainable development goals is to halve per capita global food waste at the retail and consumer levels and reduce food losses along production and supply chains by 2030. However, sufficient knowledge about the suitability of instruments for food waste prevention is still lacking. The purpose of this paper is therefore threefold: first, it outlines the generation and causes of food losses and waste. Second, it discusses good practices from different countries, such as laws to reduce food waste, voluntary agreements, awareness campaigns and results from behavioural economics. Finally, based on these findings, this paper identifies barriers to as well as requirements for the implementation of effective and efficient instruments.
In this paper three approaches on transitions pathways are combined to study the role of agricultural nature conservation in the Dutch land use domain for achieving internationally agreed climate and biodiversity targets. The three perspectives used are the Multilevel Perspective (MLP), Initiative Based Learning (IBL) and Integrated Assessment Modelling (IAM). The analysis provides insights in how the combination of different research approaches can lead to more comprehensive policy advice on how agricultural nature conservation could help to achieve internationally agreed sustainability goals related to climate change and biodiversity. IAM shows under which conditions agricultural nature conservation could be consistent with European and global long-term goals regarding food security, biodiversity and climate. MLP provides insight into the extent in which agricultural nature conservation has affected or changed the existing nature and agricultural regimes. IBL, finally, reveals the challenges of encouraging agricultural nature conservation with policy measures. Our analysis shows that a combined perspective provides a deeper understanding of the underlying processes, reasons and motives of agricultural nature conservation, leading to more comprehensive policy recommendations.
We conducted a random allocation experiment at fashion week in Berlin in 2017, testing how face-to-face (f2f) communication affects sales of a fashion start-up focusing on second-hand. The experiment revealed that 11% of guests of an f2f event afterwards turned paying customers with an average basket size 11.8% higher than the overall sales event average. We add insights to research on entrepreneurial practice as well as on offline operations in the context of circular consumption in fashion, exposing the leveraging effect of f2f communication for customer acquisition and revenue of start-ups in the field of sustainable fashion.
Businesses like Airbnb have shown that a successful circular economy (CE) business can operate exclusively online. Although online communication and web appearance attributes have been subject to academic research given accelerated digitization, there is still a lack of knowledge about online attributes and their role in facilitating CE. We close the portrayed knowledge gap by conducting a discrete-choice experiment with best to worst scaling and focusing on the effect of CE experience on the perception of a CE website by ranking nine online attributes, grouped in three subsets. We therefore contribute by identifying online attributes that are perceived as favorable for CE businesses and detect how participation in CE activities affects the perception of these attributes. We find that third-party associated online attributes (e.g., user reviews or third-party guarantees) rank significantly higher throughout CE consumption patterns of the sample, being always amongst the top three attributes. This novel finding on online preferences opens a new direction for further research, as well as allows practitioners to optimize online operations accordingly. Furthermore, we find that users without prior touchpoints with CE have a higher need for information about the business model as compared to CE active users who are more interested in community related attributes.
The need for a transition towards a circular economy (CE) is evident, as the current economic model is based on the exploitation of far more resources than the planet can replenish sustainably. A significant part of this economic transition is the inception of new, CE-oriented startups and business activities. While business model frameworks (BMF), such as the Business Model Canvas (BMC), were at the center of discussions about structuring business ideas in the beginning of the millennium, the conversation must now shift towards circular BMFs (CBMF). This paper follows the Design Research Methodology (DRM) for an empirical approach to devising a novel CBMF, including expert interviews as well as a first application of the framework with a startup. Throughout this process, a new and innovative tool called Circular Business Framework (CBF) was created and tested based on CE principles.
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.
Supply risks and environmental concerns drive the interest in critical raw material recycling in the European Union. Globally, waste electrical and electronic equipment (WEEE) is projected to increase by almost 40% until 2030. This waste stream can be a source of secondary raw materials. The determination of the economic feasibility of recycling and recovering specific materials is a data-intensive, time-consuming, and case-specific task. This study introduced a two-part evaluation scheme consisting of upper continental crust concentrations and raw material prices as a simple tool to indicate the potential and limitations of critical raw material recycling. It was applied to the case of light-emitting diodes (LED) lamps in the EU. A material flow analysis was conducted, and the projected waste amounts were analyzed using the new scheme. Indium, gallium, and the rare earth elements appeared in low concentrations and low absolute masses and showed only a small revenue potential. Precious metals represented the largest revenue share. Future research should confirm the validity and usefulness of the evaluation scheme.
Nowadays, high expectations are set for a digitally enabled circular economy (CE), to enhance resource efficiency. Tracing, tracking, and storing information is most important for this. In this paper, the application of Internet of Things (IoT) and Distributed Ledger Technology (Blockchain) are hence discussed by presenting the case of professional Electrical and Electronic Equipment (EEE) in Italy. Within the context of CE, prevention of electronic waste (WEEE) is extremely relevant as it is a fast-growing waste stream, and the products contain environmentally damaging substances as well as valuable and rare materials. The use of a proper combination of IoT and blockchain can help the producers to keep control on products until EEE end-of-life, while promoting CE strategies and supporting decision-making. Based on the outcomes of five interviews conducted in 2019 to companies of the EEE sector, potential improvements in the EEE end-of-use management are discussed. After providing the definition of requirements for both the technical solution and its testing are provided, three solution variations and the related business models are created and presented, as well as considerations on their environmental and economic impacts. The study shows how digital technologies can support the appropriate and circular management of EEE products and WEEE.