The potential impact of Brexit on the energy, water and food nexus in the UK: A fuzzy cognitive mapping approach. (15th January 2018)
- Record Type:
- Journal Article
- Title:
- The potential impact of Brexit on the energy, water and food nexus in the UK: A fuzzy cognitive mapping approach. (15th January 2018)
- Main Title:
- The potential impact of Brexit on the energy, water and food nexus in the UK: A fuzzy cognitive mapping approach
- Authors:
- Ziv, Guy
Watson, Elizabeth
Young, Dylan
Howard, David C.
Larcom, Shaun T.
Tanentzap, Andrew J. - Abstract:
- Highlights: Coupled cognitive model captures the complexity of the UK Energy-Water-Food Nexus. GDP impacts on Energy Demand, whereas Water and Food depend on UK population size. Less integrated Brexit scenarios have threefold larger magnitude of predicted changes. Whilst dependant on choice of experts, the approach is attractive for Nexus mapping. 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 energyHighlights: Coupled cognitive model captures the complexity of the UK Energy-Water-Food Nexus. GDP impacts on Energy Demand, whereas Water and Food depend on UK population size. Less integrated Brexit scenarios have threefold larger magnitude of predicted changes. Whilst dependant on choice of experts, the approach is attractive for Nexus mapping. 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. … (more)
- Is Part Of:
- Applied energy. Volume 210(2018)
- Journal:
- Applied energy
- Issue:
- Volume 210(2018)
- Issue Display:
- Volume 210, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 210
- Issue:
- 2018
- Issue Sort Value:
- 2018-0210-2018-0000
- Page Start:
- 487
- Page End:
- 498
- Publication Date:
- 2018-01-15
- Subjects:
- UK Referendum -- System modelling -- Fuzzy cognitive map -- Scenarios analysis
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2017.08.033 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20912.xml