Version 1
: Received: 1 October 2020 / Approved: 1 October 2020 / Online: 1 October 2020 (20:50:13 CEST)
Version 2
: Received: 18 January 2021 / Approved: 18 January 2021 / Online: 18 January 2021 (14:03:00 CET)
Fell, M.J., 2021. Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on Airbnb. Cleaner and Responsible Consumption 2, 100013. https://doi.org/10.1016/j.clrc.2021.100013
Fell, M.J., 2021. Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on Airbnb. Cleaner and Responsible Consumption 2, 100013. https://doi.org/10.1016/j.clrc.2021.100013
Fell, M.J., 2021. Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on Airbnb. Cleaner and Responsible Consumption 2, 100013. https://doi.org/10.1016/j.clrc.2021.100013
Fell, M.J., 2021. Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on Airbnb. Cleaner and Responsible Consumption 2, 100013. https://doi.org/10.1016/j.clrc.2021.100013
Abstract
Peer-to-peer (P2P) energy trading – where energy prosumers transact directly between each other – could help enable transition to a low-carbon energy system. If it is to be supported in policy and regulation, it is important to anticipate the distributional impacts (or how it might impact segments of society differently). However, real-world evidence on P2P energy trading is currently extremely limited. To address this challenge in the short- to medium-term, this study aimed to explore what might be learned from the extensive body of research on a comparable offering in the accommodation sector: Airbnb. A realist review approach was employed to maximise transferability of findings, focused on what mechanisms are thought to lead to what distributional outcomes, in what contexts. On the basis of the review, the benefits of selling services in P2P energy trading schemes would be expected to accrue disproportionately to those living in areas with network management challenges, who are younger and more highly educated. The review also raised the prospect of discrimination on the basis of characteristics such as race and gender where there are high levels of individual choice over who to trade with. Recommendations include monitoring, incentivising diversity, anonymization, and limiting trading choices.
Keywords
Peer-to-peer energy trading; distributional impacts; realist review; Airbnb; sharing economy
Subject
Business, Economics and Management, Accounting and Taxation
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
