114 lines
3.7 KiB
YAML
114 lines
3.7 KiB
YAML
abstract: 'The current rate of production and consumption of meat poses a problem
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both to peoples'' health and to the environment. This work aims to
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develop a simulation of peoples'' meat consumption in Britain using
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agent-based modelling. The agents represent individual consumers. The
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key variables that characterise agents include sex, age, monthly income,
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perception of the living cost, and concerns about the impact of meat on
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the environment, health, and animal welfare. A process of peer influence
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is modelled with respect to the agents'' concerns. Influence spreads
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across two eating networks (i.e. co-workers and household members)
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depending on the time of day, day of the week, and agents'' employment
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status. Data from a representative sample of British consumers is used
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to empirically ground the model. Different experiments are run
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simulating interventions of the application of social marketing
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campaigns and a rise in price of meat. The main outcome is the mean
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weekly consumption of meat per consumer. A secondary outcome is the
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likelihood of eating meat. Analyses are run on the overall artificial
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population and by subgroups. The model succeeded in reproducing observed
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consumption patterns. Different sizes of effect on consumption emerged
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depending on the application of a social marketing strategy or a price
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increase. A price increase had a greater effect than environmental and
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animalwelfare campaigns, while a health campaign had a larger impact on
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consumers'' behaviour than the other campaigns. An environmental campaign
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targeted at consumers concerned about the environment produced a
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boomerang effect increasing the consumption in the population rather
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than reducing it. The results of the simulation experiments are mainly
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consistent with the literature on food consumption providing support for
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future models of public strategies to reduce meat consumption.'
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affiliation: 'Scalco, A (Corresponding Author), Univ Aberdeen, Rowett Inst, Ashgrove
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Rd W, Aberdeen AB25 2ZD, Scotland.
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Scalco, Andrea; Macdiarmid, Jennie, I; Whybrow, Stephen, Univ Aberdeen, Rowett Inst,
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Ashgrove Rd W, Aberdeen AB25 2ZD, Scotland.
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Craig, Tony, James Hutton Inst, Aberdeen AB15 8QH, Scotland.
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Horgan, Graham W., James Hutton Inst, Biomath \& Stat Scotland, Ashgrove Rd W, Aberdeen
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AB25 2ZD, Scotland.'
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article-number: '8'
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author: Scalco, Andrea and Macdiarmid I, Jennie and Craig, Tony and Whybrow, Stephen
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and Horgan, Graham W.
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author-email: andrea.scalco@abdn.ac.uk
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author_list:
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- family: Scalco
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given: Andrea
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- family: Macdiarmid I
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given: Jennie
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- family: Craig
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given: Tony
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- family: Whybrow
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given: Stephen
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- family: Horgan
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given: Graham W.
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da: '2023-09-28'
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doi: 10.18564/jasss.4124
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files: []
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issn: 1460-7425
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journal: JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION
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keywords: 'Consumer Behaviour; Food Choice; Meat Consumption; Population Health;
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Social Influence'
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keywords-plus: 'INCOME INEQUALITIES; SOCIAL NORMS; FOOD CHOICE; SUSTAINABILITY;
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SCENARIOS; FRIENDS; HEALTH; IMPACT; POWER; DIET'
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language: English
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month: OCT 31
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number: '4'
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number-of-cited-references: '54'
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orcid-numbers: 'Craig, Tony/0000-0001-9552-1682
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Scalco, Andrea/0000-0002-0517-9084'
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papis_id: ca483b649aba57f2746c7f1fc14f6eb7
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ref: Scalco2019agentbasedmodel
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researcherid-numbers: 'Horgan, Graham/J-3738-2013
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Craig, Tony/I-8353-2012
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'
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times-cited: '9'
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title: An Agent-Based Model to Simulate Meat Consumption Behaviour of Consumers in
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Britain
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type: article
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unique-id: WOS:000493955700008
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usage-count-last-180-days: '3'
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usage-count-since-2013: '34'
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volume: '22'
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web-of-science-categories: Social Sciences, Interdisciplinary
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year: '2019'
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