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Endogenous integration of qualitative factors into quantitative energy transition modelling for development.

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Title: Endogenous integration of qualitative factors into quantitative energy transition modelling for development.
Authors: Fields, Neve1 (AUTHOR) N.Fields@lboro.ac.uk, Leonard, Alycia2 (AUTHOR), Mutembei, Martin3 (AUTHOR), Nganga, Anne3 (AUTHOR), Martindale, Leigh1 (AUTHOR), Bergman, Marissa4 (AUTHOR), Kaoma, Mwansa5 (AUTHOR), Howells, Mark1,6 (AUTHOR), Brown, Ed1 (AUTHOR)
Source: Renewable & Sustainable Energy Reviews. Sep2025, Vol. 220, pN.PAG-N.PAG. 1p.
Subject Terms: *Climate change adaptation, *Energy research, Human behavior, Social integration, Social dynamics
Abstract: Energy transition research in low- and middle-income countries often employs quantitative modelling to analyse possible future development pathways which leverage clean, renewable, and efficient energy to meet societal needs and promote development. Yet such quantitative methods are often critiqued for their reductionary nature, and failure to capture the wider contextual real-world complexities in which energy decisions are made. Integrating qualitative considerations into energy modelling offers an opportunity to reflect these complexities and strengthen techno-economic research, particularly when these considerations can be structurally integrated into models themselves. By developing a framework for endogenous qualitative integration into energy transition modelling for development – through extensive stakeholder co-production, qualitative storylines, and contextual analysis – this paper outlines feasible steps for qualitative incorporation at all phases of the modelling research process. Supported by the results of a systematic literature review, it recommends that qualitative considerations, such as social dynamics, human behaviour and institutional factors - alongside a particular focus on gender and social inclusion, resilience and climate adaptation awareness - be examined and integrated at all stages of the modelling research process, conceptualised into four phases: (1) 'Pre-Modelling', (2) 'Storytelling and Narratives', (3) 'The Model', and (4) 'Beyond the Model'. • Addresses the unique needs of energy modelling research within low-and-middle income countries (LMICs). • A framework for qualitative integration into all stages of the energy modelling research to aid development is outlined. • A framework for endogenous qualitative integration into energy transition model structures is developed. • Using this framework energy modelling results can be more inclusive, meaningful, and realistic. [ABSTRACT FROM AUTHOR]
Copyright of Renewable & Sustainable Energy Reviews is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Endogenous integration of qualitative factors into quantitative energy transition modelling for development.
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  Data: <searchLink fieldCode="AR" term="%22Fields%2C+Neve%22">Fields, Neve</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> N.Fields@lboro.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Leonard%2C+Alycia%22">Leonard, Alycia</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mutembei%2C+Martin%22">Mutembei, Martin</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nganga%2C+Anne%22">Nganga, Anne</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martindale%2C+Leigh%22">Martindale, Leigh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bergman%2C+Marissa%22">Bergman, Marissa</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kaoma%2C+Mwansa%22">Kaoma, Mwansa</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Howells%2C+Mark%22">Howells, Mark</searchLink><relatesTo>1,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Brown%2C+Ed%22">Brown, Ed</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Renewable+%26+Sustainable+Energy+Reviews%22">Renewable & Sustainable Energy Reviews</searchLink>. Sep2025, Vol. 220, pN.PAG-N.PAG. 1p.
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  Data: *<searchLink fieldCode="DE" term="%22Climate+change+adaptation%22">Climate change adaptation</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+research%22">Energy research</searchLink><br /><searchLink fieldCode="DE" term="%22Human+behavior%22">Human behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Social+integration%22">Social integration</searchLink><br /><searchLink fieldCode="DE" term="%22Social+dynamics%22">Social dynamics</searchLink>
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  Data: Energy transition research in low- and middle-income countries often employs quantitative modelling to analyse possible future development pathways which leverage clean, renewable, and efficient energy to meet societal needs and promote development. Yet such quantitative methods are often critiqued for their reductionary nature, and failure to capture the wider contextual real-world complexities in which energy decisions are made. Integrating qualitative considerations into energy modelling offers an opportunity to reflect these complexities and strengthen techno-economic research, particularly when these considerations can be structurally integrated into models themselves. By developing a framework for endogenous qualitative integration into energy transition modelling for development – through extensive stakeholder co-production, qualitative storylines, and contextual analysis – this paper outlines feasible steps for qualitative incorporation at all phases of the modelling research process. Supported by the results of a systematic literature review, it recommends that qualitative considerations, such as social dynamics, human behaviour and institutional factors - alongside a particular focus on gender and social inclusion, resilience and climate adaptation awareness - be examined and integrated at all stages of the modelling research process, conceptualised into four phases: (1) 'Pre-Modelling', (2) 'Storytelling and Narratives', (3) 'The Model', and (4) 'Beyond the Model'. • Addresses the unique needs of energy modelling research within low-and-middle income countries (LMICs). • A framework for qualitative integration into all stages of the energy modelling research to aid development is outlined. • A framework for endogenous qualitative integration into energy transition model structures is developed. • Using this framework energy modelling results can be more inclusive, meaningful, and realistic. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Renewable & Sustainable Energy Reviews is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.rser.2025.115917
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        Text: English
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      – SubjectFull: Human behavior
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      – SubjectFull: Social integration
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      – SubjectFull: Social dynamics
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              M: 09
              Text: Sep2025
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