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Many hope that the Global Stocktake under the Paris Agreement can become a catalyst for increased mitigation ambition over time. Based on different theories of change, this paper outlines four governance functions for the Global Stocktake. It can contribute to the Paris Agreement as a pacemaker (stimulating and synchronizing policy processes across governance levels), by ensuring accountability of Parties, by enhancing ambition through benchmarks for action and transformative learning, and by reiterating and refining the guidance and signal provided from the Paris Agreement. The paper further outlines process- and information-related preconditions that would enable an ideal Global Stocktake.
Wasting food, wasting resources : potential environmental savings through food waste reductions
(2018)
Food is needed to maintain our physical integrity and therefore meets a most basic human need. The food sector got in the focus of environmental policy, because of its environmental implications and its inefficiency in terms of the amount of food lost along the value chain. The European Commission (EC) flagged the food waste issue a few years ago and adopted since then a series of policies that partially address the problem. Among these, the Resource Efficiency Roadmap set the aspirational goal of reducing the resource inputs in the food chain by 20% and halving the disposal of edible food waste by 2020. Focusing on consumer food waste, we tested what a reduction following the Roadmap's food waste target would imply for four environmental categories in EU28 (European Union 28 Member States): greenhouse gas emissions, land use, blue water consumption, and material use. Compared to the 2011 levels, reaching the target would lead to 2% to 7% reductions of the total footprint depending on the environmental category. This equals a 10% to 11% decrease in inputs in the food value chain (i.e., around half of the resource use reductions targeted). The vast majority of potential gains are related to households, rather than the food-related services. Most likely, the 2020 target will not be met, since there is insufficient action both at Member State and European levels. The Sustainable Development Goals provide a new milestone for reducing edible food waste, but Europe needs to rise up to the challenge of decreasing its per capita food waste generation by 50% by 2030.
The transformative research approach of Real-World Laboratories (RWL) has recently attracted attention in German sustainability science. Some definitions and understandings have been published, but guidelines and procedural quality criteria for establishing and running a RWL are still missing. To address this gap, this article has two aims. First, it aims to derive key components of RWLs from the current discourse on RWLs and similar, but more elaborated research approaches. Second, it aims to transfer these key components into a comprehensive research practice. This practice is illustrated by the RWL process in the project "Well-being Transformation Wuppertal" (WTW).
Methodologically, the article builds on a review of RWL-related approaches for collaborative, intervention-oriented research. This includes transition management, transdisciplinary process models and action research. Based on this review, eight key components for RWLs are proposed. They position RWLs as a normatively framed approach that aims to contribute to local action for sustainable development and the empowerment of change agents. The approach uses transdisciplinary methods of knowledge integration and engages in cyclical real-world interventions within certain spatial and content-related boundaries.
The components are transferred into a flowchart, detailing process steps, aims, responsibilities and overall principles for putting RWLs into practice. Thus, a hitherto missing tool for designing and running RWLs is provided. Then, the RWL in the district of Mirke, Wuppertal, is used as an empirical example to illustrate the application of the flowchart and related key components. Consecutive discussions centre on the different roles of researchers and practitioners in the research process, as well as the relevance of an underlying theory of change for effective interventions. Finally, critical reflection, application and amendment of the proposed flowchart are encouraged
This study intends to provide a comprehensive overview of the water-energy nexus' relevance to the Iranian electricity sector, by illustrating key trends, analysing water-related challenges and identifying knowledge gaps. It summarises the results of a workshop, and a series of dialogues with Iranian energy and water experts, in which both the current situation and future water-related risks and impacts on the Iranian power sector were discussed. Based on those results, it highlights research needs and further options for scientific collaboration.
As part of this dissertation, a categorisation of the social costs of electricity supply is suggested. The following three main cost categories are differentiated: plant-level costs, system costs and external costs. Different types of costs are allocated to these categories and are examined and quantified (to the extent possible) for several power generation technologies. The limits of monetizing certain types of costs are also discussed. In a further step, and based on a large number of empirical studies, individual factors that have had a significant influence on the development of plant-level costs in the past, are identified and categorized. Finally, based on an online survey conducted among energy modellers, the dissertation examines to what extent the identified relevant types of costs and cost-influencing factors are taken into account in different types of energy models.
The implications of how climate funds conceptualize transformational change in developing countries
(2018)
The search for globally coordinated mitigation strategies that could contribute effectively towards bridging the gap between current emissions reduction efforts and a rapidly closing 2°C climate target remains contentious. The participation of developing countries through Nationally Appropriate Mitigation Actions (NAMAs) is emerging as a crucial feature to attain this goal. Against this background, two of the major NAMA funding agencies have embraced "transformational change (TC)" and "paradigm shifts" as policy concepts. Yet, their operationalization within aid management approaches has not been fully justified. Concurrently, academic interest in theories of sustainability transitions has been growing, out of which the Transition Management (TM) approach provides the theoretical inspiration to study, and eventually promote, systemic TCs. However, there is still limited knowledge with which to contextualize the steering of such transitions to different settings. This article engages in these debates by reviewing the theoretical grounding behind the Green Climate Fund and the NAMA Facility's conceptualizations of TC through NAMA interventions against the corresponding theoretical assumptions of TM. Based on a critical review of relevant literature, it is argued that the logical framework-based approach adopted by the funds contains implicit assumptions of causality, which do not adequately cater for the uncertainties, non-linearity and feedback loops inherent in transition processes. The incorporation of more adaptive and reflexive elements is proposed as an alternative. This paper contributes to existing knowledge by critically reflecting on the applicability of TM towards governing sociotechnical transitions in the developing world and by exposing the limitations behind the current thinking underpinning NAMA funding. In conclusion, the systems perspective adopted in sustainability transition theories is thus recommended as a more rewarding approach towards understanding how attempts at transforming paradigms through support to climate policies and actions in developing countries are played out.
The experience curve theory assumes that technology costs decline as experience of a technology is gained through production and use. This article reviews the literature on the experience curve theory and its empirical evidence in the field of electricity generation technologies. Differences in the characteristics of experience curves found in the literature are systematically presented and the limitations of the experience curve theory, as well as its use in energy models, are discussed. The article finds that for some electricity generation technologies, especially small-scale modular technologies, there has been a remarkably strong (negative) relationship between experience and cost for several decades. Conversely, for other technologies, especially large-scale and highly complex technologies, the experience curve does not appear to be a useful tool for explaining cost changes over time. The literature review suggests that when analysing past cost developments and projecting future cost developments, researchers should be aware that factors other than experience may have significant influence. It may be worthwhile trying to incorporate some of these additional factors into energy system models, although considerable uncertainties remain in quantifying the relevance of some of these factors.