Reviewing the Scope and Thematic Focus of 100 000 Publications on Energy Consumption, Services and Social Aspects of Climate Change: A Big Data Approach to Demand-Side Mitigation

Felix Creutzig*, Max Callaghan, Anjali Ramakrishnan, Aneeque Javaid, Leila Niamir, Jan Minx, Finn Müller-Hansen, Benjamin Sovacool, Zakia Afroz, Mark Andor, Miklos Antal, Victor Court, Nandini Das, Julio Díaz-José, Friederike C. Döbbe, Maria J. Figueroa, Andrew Gouldson, Helmut Haberl, Andrew Hook, Diana IvanovaWilliam F. Lamb, Nadia Maïzi, Érika Mata, Kristian S. Nielsen, Chioma Daisy Onyige, Lucia A. Reisch, Joyashree Roy, Pauline Scheelbeek, Mahendra Sethi, Shreya Some, Steven Sorrell, Mathilde Tessier, Tania Urmee, Doris Virag, Can Wan, Dominik Wiedenhofer, Charlie Wilson

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskriftLetterpeer review

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As current action remains insufficient to meet the goals of the Paris agreement yet alone stabilize the climate, there is increasing hope that solutions related to demand, services and social aspects of climate change mitigation can close the gap. However, given these topics are not investigated by a single epistemic community, the literature base underpinning the associated research continues to be undefined. Here, we aim to delineate a plausible body of literature capturing a comprehensive spectrum of demand, services and social aspects of climate change mitigation. As method we use a novel double-stacked expert – machine learning research architecture and expert evaluation to develop a typology and map key messages relevant for climate change mitigation within this body of literature. First, relying on the official key words provided to the IPCC by governments (across 17 queries), and on specific investigations of domain experts (27 queries), we identify 121,165 non-unique and 99,065 unique academic publications covering issues relevant for demand-side mitigation. Second, we identify a literature typology with four key clusters: policy, housing, mobility, and food/consumption. Third, we systematically extract key content-based insights finding that the housing literature emphasizes social and collective action, where the food/consumption literatures highlight behavioral change, but insights also demonstrate the dynamic relationship between behavioral change and social norms. All clusters point to the possibility of improved public health as a result of demand-side solutions. The centrality of the policy cluster suggests that political actions are what brings the different specific approaches together. Forth, by mapping the underlying epistemic communities we find that researchers are already highly interconnected, glued together by common interests in sustainability and energy demand. We conclude by outlining avenues for interdisciplinary collaboration, synthetic analysis, community building, and by suggesting next steps for evaluating this body of literature.
TidsskriftEnvironmental Research Letters
Udgave nummer3
Antal sider15
StatusUdgivet - mar. 2021

Bibliografisk note

Published online: 30 December 2020.


  • Demand
  • Services
  • Climate change mitigation
  • IPCC
  • Behavior
  • Social norm
  • Machine learning