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Innovation and climate change: A review and introduction to the special issue

While innovation is expected to play a major role in decarbonization, the development and diffusion of low-carbon technologies are too slow in most sectors and countries to stabilize the climate. In this introductory paper to a Special Issue on “Innovation and climate change”, we review selected innovation studies literature, reflect on historical trends and insights, and cast light on future research on innovation and climate change. To set the stage for this Special Issue we present an analysis of key research topics, most influential papers and innovation journals, highlighting contributions across four interrelated themes: fostering climate action, shaping policy, promoting experimentation and learning, and examining effectiveness. While past studies and this special issue made significant contributions, we suggest that research on innovation have not sufficiently engaged with three important topics: i) blending behavioural change with technological innovation; ii) the socio-technical drivers of accelerated low-carbon transitions, and iii) the role of digital technologies as new venues of solutions to managerial challenges in addressing climate change. The nexus of climate change and innovation calls for different disciplines and coevolutionary views, as opposed to a traditional disciplinary focused approach. It also may require the need for broader, more inclusive and interdisciplinary research teams.
- Université Côte d'Azur France
- Boston University United States
- University of Surrey United Kingdom
- University of Salford United Kingdom
- Aarhus University Denmark
Renewable energy, Low-carbon transitions, Climate change, Innovation, Sociotechnical transitions
Renewable energy, Low-carbon transitions, Climate change, Innovation, Sociotechnical transitions
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).75 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 10% 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%
