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Methodology to identify demand-side low-carbon innovations and their potential impact on socio-technical energy systems
The rapid diffusion of demand-side low-carbon innovations has been identified as a key strategy for maintaining average global temperature rise at or below 1.5 °C. Diffusion research tends to focus on a single sector, or single technology case study, and on a small scope of factors that influence in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374245/ https://www.ncbi.nlm.nih.gov/pubmed/34434815 http://dx.doi.org/10.1016/j.mex.2021.101295 |
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author | Hoicka, Christina E. Das, Runa R. Zhao, Yuxu McMaster, Maria-Louise Lieu, Jenny Wyse, Susan |
author_facet | Hoicka, Christina E. Das, Runa R. Zhao, Yuxu McMaster, Maria-Louise Lieu, Jenny Wyse, Susan |
author_sort | Hoicka, Christina E. |
collection | PubMed |
description | The rapid diffusion of demand-side low-carbon innovations has been identified as a key strategy for maintaining average global temperature rise at or below 1.5 °C. Diffusion research tends to focus on a single sector, or single technology case study, and on a small scope of factors that influence innovation diffusion. This paper describes a novel methodology for identifying multiple demand-side innovations within a specific energy system context and for characterizing their impact on socio-technical energy systems. This research employs several theoretical frameworks that include the Energy Technology Innovation System (ETIS) framework to develop a sample of innovations; the Sustainability Transitions framework to code innovations for their potential to impact the socio-technical system; the energy justice framework to identify the potential of innovations to address aspects of justice; and how characteristics of innovations are relevant to Innovation Adoption. This coding and conceptualization creates the foundation for the future development of quantitative models to empirically assess and quantify the rate of low-carbon innovation diffusion as well as understanding the broader relationship between the diffusion of innovations and socio-technical system change. The three stages of research are: • Contextualization: surveys and desk research to identify low-carbon innovations across the ETIS; • Decontextualization: the development of a codebook of variables; • Recontextualization: coding the innovations and analysis. |
format | Online Article Text |
id | pubmed-8374245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-83742452021-08-24 Methodology to identify demand-side low-carbon innovations and their potential impact on socio-technical energy systems Hoicka, Christina E. Das, Runa R. Zhao, Yuxu McMaster, Maria-Louise Lieu, Jenny Wyse, Susan MethodsX Method Article The rapid diffusion of demand-side low-carbon innovations has been identified as a key strategy for maintaining average global temperature rise at or below 1.5 °C. Diffusion research tends to focus on a single sector, or single technology case study, and on a small scope of factors that influence innovation diffusion. This paper describes a novel methodology for identifying multiple demand-side innovations within a specific energy system context and for characterizing their impact on socio-technical energy systems. This research employs several theoretical frameworks that include the Energy Technology Innovation System (ETIS) framework to develop a sample of innovations; the Sustainability Transitions framework to code innovations for their potential to impact the socio-technical system; the energy justice framework to identify the potential of innovations to address aspects of justice; and how characteristics of innovations are relevant to Innovation Adoption. This coding and conceptualization creates the foundation for the future development of quantitative models to empirically assess and quantify the rate of low-carbon innovation diffusion as well as understanding the broader relationship between the diffusion of innovations and socio-technical system change. The three stages of research are: • Contextualization: surveys and desk research to identify low-carbon innovations across the ETIS; • Decontextualization: the development of a codebook of variables; • Recontextualization: coding the innovations and analysis. Elsevier 2021-03-04 /pmc/articles/PMC8374245/ /pubmed/34434815 http://dx.doi.org/10.1016/j.mex.2021.101295 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Method Article Hoicka, Christina E. Das, Runa R. Zhao, Yuxu McMaster, Maria-Louise Lieu, Jenny Wyse, Susan Methodology to identify demand-side low-carbon innovations and their potential impact on socio-technical energy systems |
title | Methodology to identify demand-side low-carbon innovations and their potential impact on socio-technical energy systems |
title_full | Methodology to identify demand-side low-carbon innovations and their potential impact on socio-technical energy systems |
title_fullStr | Methodology to identify demand-side low-carbon innovations and their potential impact on socio-technical energy systems |
title_full_unstemmed | Methodology to identify demand-side low-carbon innovations and their potential impact on socio-technical energy systems |
title_short | Methodology to identify demand-side low-carbon innovations and their potential impact on socio-technical energy systems |
title_sort | methodology to identify demand-side low-carbon innovations and their potential impact on socio-technical energy systems |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374245/ https://www.ncbi.nlm.nih.gov/pubmed/34434815 http://dx.doi.org/10.1016/j.mex.2021.101295 |
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