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Transition experiments: Unlocking low-carbon transition pathways for Canada through innovation and learning

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Abstract

Discussion paper for Sustainable Canada Dialogues side event at Generation Energy in October 2017. Outlines the concept of 'transition experiments' along with the opportunities a program of experimentation might provide for the pursuit of low-carbon pathways in Canada. Potential benefits include learning, capacity building, and public education and engagement.

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... According to M&A theory, in order to overcome the lack of time for independent innovation in late-developing enterprise groups, technology acquisition has become a good supplementary way. Technology acquisition provides advanced technical knowledge resources for the secondary innovation of late-developing subsidiaries and is an essential embodiment of late-developing enterprise groups to give full play to the late-developing advantages of low-carbon technology (Rosenbloom et al. 2018;Sears 2018). From the perspective of synergetics and risk control, compared with the first mover enterprise group, one of the advantages of the second mover enterprise group in carrying out innovation activities is its stronger ability to control risk uncertainty. ...
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This paper investigates the suitability and limitations of the Strategic Niche Management framework in the context of emerging economies of South and East Asia. We explore several learning-based approaches to development projects that are part of the academic and practitioner field of development studies. The approaches show similarities with SNM but they reflect the developing-country context within which they were framed, and are also more geared towards local community development and capacity building. We apply these approaches to four biomass energy projects in rural India to identify determinants of success and failure. We then discuss how these findings compare with the insights that an SNM analysis would have offered. We arrive at the following conclusions. First, the great strengths of SNM are its explicit conceptualisation of environmental sustainability and its endogenous treatment of the larger context. Second, the learning-based development approaches hone in on the complexities of local management and stakeholder organisation. Third, they also bring out the great importance of local institutions such as traditional status and power differences. Fourth, we conclude that SNM holds considerable promise for application in a developing Asian context, but that its usefulness and relevance in that setting could be enhanced by incorporating these additional issues.
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Large-scale shifts in dominant technologies are the necessary components of a transition toward sustainability. Such shifts are difficult because, in addition to technological innovation, they require changes in the existing institutions, professional norms, belief systems and, in some cases, also lifestyles. In the languages of cognitive and policy sciences, higher order learning on a scale ranging from individuals to professional and business communities, to the society at large, is needed. Higher order learning is especially crucial in the types of innovations that depend mainly on synthesis of existing technologies and know-how to achieve radical reductions in energy and material consumption, as is the case with high performance buildings. One way to facilitate this type of learning is through experimentation with new technologies and services.Drawing on our earlier concept of a Bounded Socio-Technical Experiment, in this paper we propose a four-level conceptual framework for mapping and monitoring the learning processes taking place in a BSTE, and apply it to an empirical case study of a zero-fossil-fuel residential building in Boston. Three major conclusions are that: learning took place both on the individual and team level, that individual learning primarily (but not exclusively) involved changes in problem definitions; and that team learning consisted of participant turnover until congruence in worldviews and interpretive frames was achieved. This case study also shows that we must think of innovating in building design as both a process and a product, and that both must be considered in the future efforts to replicate this building.This study highlights that technological innovation about technology as much as about people, their perceptions, and their interactions with each other and with the material world. Sustainability will not be reached by technology alone, but by deep learning by individuals, groups, professional societies and other institutions.
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Many case studies in adaptive-management planning for riparian ecosystems have failed to produce useful models for policy comparison or good experimental management plans for resolving key uncertainties. Modeling efforts have been plagued by difficulties in representation of cross-scale effects (from rapid hydrologic change to long-term ecological response), lack of data on key processes that are difficult to study, and confounding of factor effects in validation data. Experimental policies have been seen as too costly or risky, particularly in relation to monitoring costs and risk to sensitive species. Research and management stakeholders have shown deplorable self-interest, seeing adaptive-policy development as a threat to existing research programs and management regimes, rather than as an opportunity for improvement. Proposals for experimental management regimes have exposed and highlighted some really fundamental conflicts in ecological values, particularly in cases in which endangered species have prospered under historical management and would be threatened by ecosystem restoration efforts. There is much potential for adaptive management in the future, if we can find ways around these barriers.
An urban politics of climate change: experimentation and the governing of socio-technical transitions
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Reenergizing Canada: Pathways to a low-carbon future
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