Author
Listed:
- Persad, Kandace
- Xu, Bing
- Greening, Philip
Abstract
Despite sustainable investment flows having increased significantly over the past decade for transforming the current energy system, a large investment gap remains. This research explores the complex links between institutional investors' expectations on the speed of the energy transition and their sustainability-related investment behaviours. Through in-depth semi-structured interviews with institutional investors, we construct a complex system model using a causal mapping approach, illustrating complex relationships within the sustainable investment system. Our contribution involves the development of multi-layer cognitive maps for different types of institutional investors, followed by a composite causal map that dissects key investment behaviours and investor expectations. Results reveal interlinked concepts influencing investment behaviour and highlight feedback loops with potential amplifying effects on investor expectations and investment behaviour. Two critical feedback loops emerge: 1) the interplay between political and financial support for the energy transition and the associated cost, and 2) the intricate relationship between sustainability factors and asset valuation. This analysis shows that addressing these interconnected issues simultaneously and monitoring negative feedback loops that may curtail sustainable finance flows are vital in accelerating sutainable finance. The results also reveal key heterogeneities amongst institutional investors related to fiduciary duties, stranded assets and the importance of fossil fuels in the energy system. Our insights provide a foundation for designing holistic energy policies and a reference system for evaluating policies aimed at accelerating sustainable finance.
Suggested Citation
Persad, Kandace & Xu, Bing & Greening, Philip, 2026.
"Institutional investor behaviour and the energy transition: A complexity framework for sustainable finance in the UK,"
Energy Economics, Elsevier, vol. 160(C).
Handle:
RePEc:eee:eneeco:v:160:y:2026:i:c:s014098832400152x
DOI: 10.1016/j.eneco.2024.107444
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:160:y:2026:i:c:s014098832400152x. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.