wow-inequalities/02-data/intermediate/wos_sample/d523ac14414350f135a91e76bd5f0355-scalco-andrea-and-m/info.yaml

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abstract: 'The current rate of production and consumption of meat poses a problem
both to peoples'' health and to the environment. This work aims to
develop a simulation of peoples'' meat consumption in Britain using
agent-based modelling. The agents represent individual consumers. The
key variables that characterise agents include sex, age, monthly income,
perception of the living cost, and concerns about the impact of meat on
the environment, health, and animal welfare. A process of peer influence
is modelled with respect to the agents'' concerns. Influence spreads
across two eating networks (i.e. co-workers and household members)
depending on the time of day, day of the week, and agents'' employment
status. Data from a representative sample of British consumers is used
to empirically ground the model. Different experiments are run
simulating interventions of the application of social marketing
campaigns and a rise in price of meat. The main outcome is the mean
weekly consumption of meat per consumer. A secondary outcome is the
likelihood of eating meat. Analyses are run on the overall artificial
population and by subgroups. The model succeeded in reproducing observed
consumption patterns. Different sizes of effect on consumption emerged
depending on the application of a social marketing strategy or a price
increase. A price increase had a greater effect than environmental and
animalwelfare campaigns, while a health campaign had a larger impact on
consumers'' behaviour than the other campaigns. An environmental campaign
targeted at consumers concerned about the environment produced a
boomerang effect increasing the consumption in the population rather
than reducing it. The results of the simulation experiments are mainly
consistent with the literature on food consumption providing support for
future models of public strategies to reduce meat consumption.'
affiliation: 'Scalco, A (Corresponding Author), Univ Aberdeen, Rowett Inst, Ashgrove
Rd W, Aberdeen AB25 2ZD, Scotland.
Scalco, Andrea; Macdiarmid, Jennie, I; Whybrow, Stephen, Univ Aberdeen, Rowett Inst,
Ashgrove Rd W, Aberdeen AB25 2ZD, Scotland.
Craig, Tony, James Hutton Inst, Aberdeen AB15 8QH, Scotland.
Horgan, Graham W., James Hutton Inst, Biomath \& Stat Scotland, Ashgrove Rd W, Aberdeen
AB25 2ZD, Scotland.'
article-number: '8'
author: Scalco, Andrea and Macdiarmid I, Jennie and Craig, Tony and Whybrow, Stephen
and Horgan, Graham W.
author-email: andrea.scalco@abdn.ac.uk
author_list:
- family: Scalco
given: Andrea
- family: Macdiarmid I
given: Jennie
- family: Craig
given: Tony
- family: Whybrow
given: Stephen
- family: Horgan
given: Graham W.
da: '2023-09-28'
doi: 10.18564/jasss.4124
files: []
issn: 1460-7425
journal: JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION
keywords: 'Consumer Behaviour; Food Choice; Meat Consumption; Population Health;
Social Influence'
keywords-plus: 'INCOME INEQUALITIES; SOCIAL NORMS; FOOD CHOICE; SUSTAINABILITY;
SCENARIOS; FRIENDS; HEALTH; IMPACT; POWER; DIET'
language: English
month: OCT 31
number: '4'
number-of-cited-references: '54'
orcid-numbers: 'Craig, Tony/0000-0001-9552-1682
Scalco, Andrea/0000-0002-0517-9084'
papis_id: ca483b649aba57f2746c7f1fc14f6eb7
ref: Scalco2019agentbasedmodel
researcherid-numbers: 'Horgan, Graham/J-3738-2013
Craig, Tony/I-8353-2012
'
times-cited: '9'
title: An Agent-Based Model to Simulate Meat Consumption Behaviour of Consumers in
Britain
2023-10-01 08:15:07 +00:00
type: article
2023-09-28 14:46:10 +00:00
unique-id: WOS:000493955700008
usage-count-last-180-days: '3'
usage-count-since-2013: '34'
volume: '22'
web-of-science-categories: Social Sciences, Interdisciplinary
year: '2019'