Ziv, Guy; Watson, Elizabeth; Young, Dylan; Howard, David C.
ORCID: https://orcid.org/0000-0003-4494-7450; Larcom, Shaun T.; Tanentzap, Andrew J..
2018
The potential impact of Brexit on the energy, water and food nexus in the UK: a fuzzy cognitive mapping approach.
Applied Energy, 210.
487-498.
10.1016/j.apenergy.2017.08.033
Abstract
Energy is one of the cornerstones essential for human life, along with other services such as water and food.
Understanding how the different services in the energy-water-food (EWF) nexus interact and are perceived by
different actors is key to achieving sustainability. In this paper, we derive a model of the EWF nexus using fuzzy
cognitive mapping (FCM). Data were collected in a two-step approach from workshops with researchers and
stakeholders involved in the three focal sectors. Four FCMs were developed; one for each of the EWF sectors, and
one for the interactions that create the nexus between EWF. The FCM represents the combined views of the
groups who participated in the workshops, the importance and limitations of which is discussed. To demonstrate
its effectiveness, the aggregated FCM was applied to predict the impacts on the EWF nexus of four scenarios
under which the United Kingdom would depart from the European Union (i.e. Brexit). The FCM indicated that
energy-related concepts had the largest influence on the EWF nexus and that EWF demand will decrease most
under a ‘hard-Brexit’ scenario. The demand for energy was shown to decline relatively less than other services
and was strongly associated with gross domestic product (GDP), whereas UK population size had a stronger
effect on water and food demand. Overall, we found a threefold change across all concepts in scenarios without
freedom of movement, contribution to the EU budget, and increased policy devolution to the UK.
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518130:122275
N518130JA.pdf
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Available under License Creative Commons Attribution 4.0.
Available under License Creative Commons Attribution 4.0.
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UKCEH and CEH Science Areas 2017-24 (Lead Area only) > Unaffiliated
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