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Fossil independence and substantial reductions in CO2 emissions seem to be possible with 2nd generation biofuels. New technologies allow a full carbon-to-fuel conversion of non-edible plant parts such as straw or wood, and the cultivation of algae or salt-resistant plants uncouples bioenergy from food production. Nevertheless, impacts on biodiversity, global land and water use are widely unclear and their competitiveness with 1st generation biofuels and electric mobility is an open question. An interdisciplinary team of Empa, University of Zurich and the Wuppertal Institute of Climate, Environment and Energy evaluated the most sustainable production techniques and assessed their potential for our future mobility.
This study aims to investigate whether, to what extent and how a transition toward integrated flood management has taken place in the Dongting Lake area at the middle Yangtze. Accordingly, we conducted a longitudinal research of its flood management (1949–2009). We developed an analytical framework linking regime components to two societal learning types (double and triple-loop learning) that are key to a regime transition. Our study shows that the transition toward integrated flood management has already started, but the whole regime transformation will still take time to complete, due to, for example, the not-yet-ready decision-making processes that shape the structure changes as well as the incompatibilities between what is on paper and real implementation. To understand how the regime transition took place, we investigated where and how triple-loop learning was initiated as well as how so-called "informal learning processes" has contributed to the transition of Dongting flood management.
For decades, the Chinese government has been searching for solutions to cope with the increasing imbalance between the supply and demand of water in the Yellow River Basin. This paper aims at a better understanding of the development of the water allocation regime in the Yellow River Basin between 1950 and 2009, introducing a fresh perspective based on the notion of "regime transition". Accordingly, we investigated 1) whether so-called "Windows of Opportunity for Transition (WOPTs)" emerged, triggering a transition, and whether WOPT(s) resulted in a stable transition towards the new regime; 2) how informal learning processes and epistemic communities have contributed to the regime change. We adapted Kingdon's "multiple stream model" and identified four WOPTs from the 1950s, analyzing the reconfiguration process of the regime after the onset of the transition. Our examples of two types of informal learning processes demonstrate their contribution to the creation of WOPTs and the reconfiguration of the regime. Furthermore, this study indicates, in a qualitative manner, how epistemic communities contribute to the knowledge base of the regime, and thus to its development. Finally, we have provided a general insight into the further development of the water allocation regime and highlighted potential avenues for further studies.
To achieve an efficient use and allocation of limited water resources and thus resolve increasing water use conflicts due to fast rising societal water demands, in 2000, the Chinese government started a management strategy of 'Construction of a Water Saving Society (WSS)'. It is guided by the principle that socio-economic development should consider the carrying capacity of the ecosystem and focuses on institutional innovation, building on the water rights concept. This paper explores the innovation process during the transition towards WSS by investigating the development course of the innovation process during the transition towards WSS, and the adaptive capacity of the existing water management regime underlying the innovation process. Accordingly, an analysis framework consisting of three types of governance activities and factors determining a regime's adaptive capacity was developed, based on the theory of transition management and adaptive governance. The Tianjin and Zhangye WSS experiments were selected for a deep understanding of local innovations. It is revealed that co-evolution of all three types of governance activities that are claimed to be essential for transition has taken place. However, the current adaptive capacity of the regime still needs further enhancement to support the transition towards the desired WSS in China. Finally, some general insights are provided for policy innovations in other political economies.
In the past few decades, geochemically scarce metals have
become increasingly relevant for emerging technologies in
domains such as energy supply and storage, information and
communication, lighting or transportation, which are regarded as
cornerstones in the transition towards a sustainable post-fossil
society. Accordingly, the supply risks of scarce metals and possible
interventions towards their more sustainable use have been
subject to an intense debate in recent studies. In this article, we
integrate proposed intervention options into a generic life cycle
framework, taking into account issues related to knowledge
provision and to the institutional setting. As a result, we obtain
a landscape of intervention fields that will have to be further
specified to more specific intervention profiles for scarce metals
or metals families. The envisioned profiles are expected to have
the potential to reduce action contingency and to contribute to
meeting the sustainability claims often associated with emerging
technol ogies.
Measuring progress towards sustainable development requires appropriate frameworks and databases. The System of Environmental-Economic Accounts (SEEA) is undergoing continuous refinement with these objectives in mind. In SEEA, there is a need for databases to encompass the global dimension of societal metabolism. In this paper, we focus on the latest effort to construct a global multi-regional input-output database (EXIOBASE) with a focus on environmentally relevant activities. The database and its broader analytical framework allows for the as yet most detailed insight into the production-related impacts and "footprints" of our consumption. We explore the methods used to arrive at the database, and some key relationships extracted from the database.