Understanding climate literacy research using scientometrics analysis
- PMID: 39640793
- PMCID: PMC11620223
- DOI: 10.1016/j.heliyon.2024.e39214
Understanding climate literacy research using scientometrics analysis
Abstract
Climate literacy, critical for understanding both the individual's impact on climate and the consequential effects on society and the biosphere, is comprehensively examined in this study through scientometric analysis. Spanning research from 1981 to 2024 and utilizing the Web of Science database, this study maps the evolution of publication trends, pinpoints central themes, and identifies pivotal publications within the domain. Leveraging advanced visualization tools like CiteSpace, the research employs dual-map overlays and document co-citation analysis to uncover the intricate web of interconnections among scholarly works. Findings highlight a significant surge in publications after 2015, mirroring the escalating global consciousness of climate-related issues. Predominant research clusters identified include "bad news," "mental health," and "farmers' perceptions," showcasing the field's thematic diversity. These insights emphasize the indispensable role of interdisciplinary methods in advancing public knowledge and active participation in climate change mitigation and adaptation efforts, fostering a well-informed community poised to address environmental challenges.
Keywords: Climate change mitigation; Climate literacy; Interdisciplinary method; Publication trends; Scientometrics analysis.
© 2024 The Authors.
Conflict of interest statement
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Rahmawaty reports financial support and article publishing charges were provided by 10.13039/501100013375Universitas Sumatera Utara. Rahmawaty reports financial support was provided by Education Fund Management Institute. Rahmawaty reports financial support was provided by General Directorate of Higher Technological Education. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Figures
References
-
- Moayedi Hossein, Mukhtar A., Ben Khedher Nidhal, Elbadawi Isam, Ben Amara Mouldi, Quynh T.T., Nima Khalilpoor. Forecasting of energy-related carbon dioxide emission using ANN combined with hybrid metaheuristic optimization algorithms. Engineering Applications of Computational Fluid Mechanics. 2024;18(1) doi: 10.1080/19942060.2024.2322509. - DOI
-
- Sheng J., Sinha A., Mansoor S., Muhammad Wasif Zafar Greening the energy future: role of energy innovation as policy driver. Nat. Resour. Forum. 2024 doi: 10.1111/1477-8947.12426. - DOI
-
- International Energy Agency . IEA; 2023, March. CO2 Emissions in 2022.https://www.iea.org/reports/co2-emissions-in-2022 IEA.
-
- Kuh K.F. United nations framework convention on climate change - an overview | ScienceDirect topics. 2018. https://www.sciencedirect.com/topics/earth-and-planetary-sciences/united... Sciencedirect.com.
-
- Padhra Anil, Tolouei Elham. Embedding climate change education into higher-education programmes. Nat. Clim. Change. 2023;13(11):1154–1157. doi: 10.1038/s41558-023-01847-6. - DOI
Publication types
LinkOut - more resources
Full Text Sources
Research Materials
