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A review of linking models and socio-technical transitions theories for energy and climate solutions

Abstract In the last decade, a new strand of energy and climate research emerged that links quantitative models and socio-technical transitions theories or frameworks. Linking the two enables capturing the co-evolution of society, technology, the economy and the environment. We systematically review this literature (N = 44) and describe the papers’ trends, scope, temporal and spatial foci, and methodological strategies. The reviewed literature aspires to find solutions to the energy and climate challenges, to increase realism in models and theories, and to enable interdisciplinary learning between the two scholarly communities. The outcomes in this literature show benefits of interdisciplinary learning between modellers and transitions theorists. However, the literature rarely identified practical insights for energy and climate solutions or for improving realism in models and theories. We conclude by suggesting that integrative research should be continued, but redirected to provide more practical outcomes to meet energy and climate targets.
- University of Geneva Switzerland
info:eu-repo/classification/ddc/333.7-333.9, info:eu-repo/classification/ddc/550, Energy, Integrated assessment models (IAMs), Climate mitigation, Energy system models, info:eu-repo/classification/ddc/354.3, Multi-level perspective, Socio-technical transitions, info:eu-repo/classification/ddc/301, ddc: ddc:333.7-333.9, ddc: ddc:354.3, ddc: ddc:550, ddc: ddc:301
info:eu-repo/classification/ddc/333.7-333.9, info:eu-repo/classification/ddc/550, Energy, Integrated assessment models (IAMs), Climate mitigation, Energy system models, info:eu-repo/classification/ddc/354.3, Multi-level perspective, Socio-technical transitions, info:eu-repo/classification/ddc/301, ddc: ddc:333.7-333.9, ddc: ddc:354.3, ddc: ddc:550, ddc: ddc:301
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).59 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
