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Effectiveness and efficiency of food-waste prevention policies, circular economy, and food industry
(2020)
Künstliche Intelligenz in der Siedlungsabfallsortierung als Wegbereiter der Kreislaufwirtschaft
(2020)
A policy mix for resource efficiency in the EU : key instruments, challenges and research needs
(2019)
Against the background of an often wasteful use of natural resources, the European Union has made resource efficiency a top policy priority. Policy formulation is, however, at a very early stage in many Member States, with often vague notions of what resource efficiency means, characterised by fragmented instruments and overlapping competencies. This paper develops a conceptual framework for defining, assessing and developing resource efficiency policy mixes. It argues that a mix of policies and instruments is best suited to overcoming the complex challenges of the 21st Century. Such a mix addresses multiple resource domains at a strategic, high level and contains interacting instruments targeting multiple actors, levels of governance and sectors and life-cycle stages of resource use. This paper looks at criteria for effective resource efficiency policy instruments, presents both an indicative policy mix across 9 policy domains and case studies (on environmental harmful subsidies, supply chain efficiency in food systems and product-service systems) and identifies key challenges to overcome trade-offs in instrument design, maximise synergies, reduce conflicts, promote coherence, coordinate activities and move from theory to practice. Research needs are discussed regarding who shall devise, implement, and coordinate such a policy mix, considering negotiating power, timing and complexity.
Die ersten Stufen der Abfallhierarchie : Abfallvermeidung und Vorbereitung zur Wiederverwendung
(2018)
Digitaler Kreislauf
(2018)
Rohstoffe
(2016)
Die nachhaltigkeitsorientierte Transformation von urbanen Räumen ist eine akute Herausforderung. In den letzten Jahren haben koproduktive, experimentelle, transdisziplinäre und häufig informelle Stadtwandelprojekte als Such- und Lösungsräume hohe Sichtbarkeit erlangt. Schlüsselakteure hierfür stellen - so die These - Verwaltungsvertreter:innen einer integrierten Stadtentwicklung und -planung, Wissenschaftler:innen einer transformativen Forschung sowie zivilgesellschaftliche Stadtmacher:innen dar. Die Autor:innen, verankert in diesen drei Gruppen, kritisieren die häufig nur situative Zusammenarbeit dieser drei Akteursgruppen. Ein Modell der Zusammenarbeit im Spannungsfeld zwischen Gemeinsamkeiten, jeweiligen Potentialen und herausfordernden Eigenlogiken der Akteurssysteme wird entwickelt. Darauf aufbauend wird vorgestellt, wie durch strategischen Trialog und reflexive Lernprozesse die Zusammenarbeit verbessert und die Wirksamkeit koproduktiven und experimentellen Stadtwandels erhöht werden kann.
Ausweg aus dem Einweg? : Auswirkungen der Coronakrise auf das Verpackungsaufkommen in Deutschland
(2020)
With increasing world population and an unsettling resource scarcity in the back, sustainble consumption has moved to the foreground of political, economical and social discussions. One major school-of-thought is Circular Economy (CE), an approach summarizing various sustainable consumption activites under one roof. However, quantitative studies on the consumer are rare, yet crucial for a transfer from linear to circular consumption. This dissertation adds to literature by providing pioneer insights into consumer behavior in CE as an overarching concept, instead limiting research on singular subconcepts. Namely, four consumer activities are studied: recycling, upcycling, renting and sharing. In order to identify relevant insights for both academics and practitioners in CE, the research question ("what drives participation in CE?") is broken down into sub-hypotheses, which are addressed by three empirical studies. Using the SOR-Model (adaption Belk 1975) as overarching logic, the three studies deal with (1) the consumer (and their motivation) and situational stimuli (both (2) offline and (3) online). Respectively, three data sets are consulted to assess the sub-hypotheses and to identify overarching insights on how to accelerate consumer participation in CE, The research methodology employed ranges from a structured equation model (SEM), a random allocation field experiment during Fashion Week in Berlin to a discrete-choice model with best-worst scaling. The dissertation succeeds in revealing that (1) different activities in CE can be summarized in one latent variable, proving CE as a wholesome concept in consumer-related activities; that (2) Trust has a leveraging effect on participation in CE activities. Further, Trust can be enhanced offline via face-to-face interaction and online via third-party online attributes.; and that (3) experience in CE activities affects perception of online attributes, implying the need for adapted measures when dealing with CE-unexperienced consumers as compared to consumers with prior experience in CE activities.