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Reaching the Sustainable Development Goals requires a fundamental socio-economic transformation accompanied by substantial investment in low-carbon infrastructure. Such a sustainability transition represents a non-marginal change, driven by behavioral factors and systemic interactions. However, typical economic models used to assess a sustainability transition focus on marginal changes around a local optimum, whichby constructionlead to negative effects. Thus, these models do not allow evaluating a sustainability transition that might have substantial positive effects. This paper examines which mechanisms need to be included in a standard computable general equilibrium model to overcome these limitations and to give a more comprehensive view of the effects of climate change mitigation. Simulation results show that, given an ambitious greenhouse gas emission constraint and a price of carbon, positive economic effects are possible if (1) technical progress results (partly) endogenously from the model and (2) a policy intervention triggering an increase of investment is introduced. Additionally, if (3) the investment behavior of firms is influenced by their sales expectations, the effects are amplified. The results provide suggestions for policy-makers, because the outcome indicates that investment-oriented climate policies can lead to more desirable outcomes in economic, social and environmental terms.
Discussions about the opening of science to society have led to the emergence of new fields such as sustainability science and transformative science. At the same time, the megatrend of stakeholder participation reached the academic world and thus scientific research processes. This challenges the way science is conducted and the tools, methods and theories perceived appropriate. Although researchers involve stakeholders, the scientific community still lacks comprehensive theoretical analysis of the practical processes behind their integration - for example what kind of perceptions scientists have about their roles, their objectives, the knowledge to gather, their understanding of science or the science-policy interface. Our paper addresses this research gap by developing four ideal types of stakeholder involvement in science - the technocratic, the functionalist, the neoliberal-rational and the democratic type. In applying the typology, which is based on literature review, interviews and practical experiences, we identify and discuss three major criticisms raised towards stakeholder involvement in science: the legitimacy of stakeholder claims, the question whether bargaining or deliberation are part of the stakeholder involvement process and the question of the autonomy of science. Thus, the typology helps scientists to better understand the major critical questions that stakeholder involvement raises and enables them to position themselves when conducting their research. (C) 2016 Elsevier Ltd. All rights reserved.