The DOI matches its Crossref record; 170 of the 170 references it cites were found in a registry or an index.
Reducing energy demand through low carbon innovation: A sociotechnical transitions perspective and thirteen research debates
Open accessAbstract
Improvements in energy efficiency and reductions in energy demand are expected to contribute more than half of the reduction in global carbon emissions over the next few decades. These unprecedented reductions require transformations in the systems that provide energy services. However, the dominant analytical perspectives, grounded in neoclassical economics and social psychology, focus upon marginal changes and provide only limited guidance on how such transformations may occur and how they can be shaped. We argue that a socio-technical transitions perspective is more suited to address the complexity of the challenges involved. This perspective understands energy services as being provided through large-scale, capital intensive and long-lived infrastructures that co-evolve with technologies, institutions, skills, knowledge and behaviours to create broader ‘sociotechnical systems’. To provide guidance for research in this area, this paper identifies and describes thirteen debates in socio-technical transitions research, organized under the headings of emergence, diffusion and impact, as well as more synthetic cross-cutting issues.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Barker, T. J., Bashmakov, I., Bernstein, L., Bogner, J. R., Bosch, P. C., Dave, R., Davidson, O., Fisher, B. S., Grubb, M. J., Gupta, S. K., et al. (2007) · Socio-Environmental Systems Modeling · Cited by 9,160
Geels, F. W. (2002) · Research Policy · doi:10.1016/s0048-7333(02)00062-8 · Cited by 7,275
Self-citationTypology of sociotechnical transition pathways
Geels, F. W., & Schot, J. (2007) · Research Policy · doi:10.1016/j.respol.2007.01.003 · Cited by 5,245
Self-citationvon Hippel, E. (2007) · Das Summa Summarum des Management · doi:10.1007/978-3-8349-9320-5_10 · Cited by 5,098
Change, I. P. O. C. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781107415416 · Cited by 4,693
Latour, B. (1987) · Cited by 4,106
From sectoral systems of innovation to socio-technical systems
Geels, F. W. (2004) · Research Policy · doi:10.1016/j.respol.2004.01.015 · Cited by 4,098
Self-citationTechnical Change and Economic Theory.
Swann, P., & Dosi, G. (1989) · The Economic Journal · doi:10.2307/2234048 · Cited by 4,041
Florida, R. (2005) · Routledge eBooks · doi:10.4324/9780203997673 · Cited by 3,920
Cited by
Dubois, G., Sovacool, B., Aall, C., Nilsson, M., Barbier, C., Herrmann, A., Bruyère, S., Andersson, C., Skold, B., Nadaud, F., et al. (2019) · Energy Research & Social Science · doi:10.1016/j.erss.2019.02.001 · Cited by 622
Self-citationSovacool, B. K., Martiskainen, M., Hook, A., & Baker, L. (2019) · Climatic Change · doi:10.1007/s10584-019-02521-7 · Cited by 502
Self-citationTruby, J. (2018) · Energy Research & Social Science · doi:10.1016/j.erss.2018.06.009 · Cited by 499
Fear and loathing of electric vehicles: The reactionary rhetoric of range anxiety
Noel, L., Zarazua de Rubens, G., Sovacool, B. K., & Kester, J. (2019) · Energy Research & Social Science · doi:10.1016/j.erss.2018.10.001 · Cited by 282
Self-citationMohsin, M., Abbas, Q., Zhang, J., Ikram, M., & Iqbal, N. (2019) · Environmental Science and Pollution Research · doi:10.1007/s11356-019-06372-8 · Cited by 253
Metadata
- Authors
- Geels, F. W., Schwanen, T., Sorrell, S., Jenkins, K., & Sovacool, B. K.
- Venue
- Energy Research & Social Science
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 40
- Pages
- 23-35
- ISSN
- 2214-6296 (ISSN-L)
- OpenAlex
- W2781022301
- Cited by
- 320
- References
- 170
- FWCI
- 16.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Reducing energy demand through low carbon innovation: A sociotechnical transitions perspective and thirteen research debates. https://app.cochat.ai/papers/10.1016/j.erss.2017.11.003
- The paper
- Geels, F. W., Schwanen, T., Sorrell, S., Jenkins, K., & Sovacool, B. K. (2018). Reducing energy demand through low carbon innovation: A sociotechnical transitions perspective and thirteen research debates. Energy Research & Social Science. https://doi.org/10.1016/j.erss.2017.11.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.