Investigation of the level of knowledge in different countries about edible insects : cluster segmentation
Type
article
Creator
Guiné, Raquel P.F.
Florença, Sofia G.
Costa, Cristina A.
Correia, Paula M. R.
Ferreira, Manuela
Cardoso, Ana P.
Campos, Sofia
Anjos, O.
Chuck-Hernández, Cristina
Sarić, Marijana Matek
Djekic, Ilija
Papageorgiou, Maria
Baro, José M. F.
Korzeniowska, Malgorzata
Černelič-Bizjak, Maša
Bartkiene, Elena
Tarcea, Monica
Boustani, Nada M.
Klava, Dace
Damarli, Emel
Florença, Sofia G.
Costa, Cristina A.
Correia, Paula M. R.
Ferreira, Manuela
Cardoso, Ana P.
Campos, Sofia
Anjos, O.
Chuck-Hernández, Cristina
Sarić, Marijana Matek
Djekic, Ilija
Papageorgiou, Maria
Baro, José M. F.
Korzeniowska, Malgorzata
Černelič-Bizjak, Maša
Bartkiene, Elena
Tarcea, Monica
Boustani, Nada M.
Klava, Dace
Damarli, Emel
Publisher
Identifier
GUINÉ, Raquel P.F. [et al.] (2023) - Investigation of the level of knowledge in different countries about edible insects : cluster segmentation. Sustainability. 15, 450. DOI 10.3390/su15010450
10.3390/su15010450
Title
Investigation of the level of knowledge in different countries about edible insects : cluster segmentation
Subject
Knowledge
Edible insects
Factor analysis
Cluster analysis
Sustainable food
Nutritional value
Edible insects
Factor analysis
Cluster analysis
Sustainable food
Nutritional value
Date
2023-02-16T16:33:37Z
2023-02-16T16:33:37Z
2023
2023-02-16T16:33:37Z
2023
Description
This study aimed to investigate the level of knowledge about edible insects (EIs) in a
sample of people from thirteen countries (Croatia, Greece, Latvia, Lebanon, Lithuania, Mexico,
Poland, Portugal, Romania, Serbia, Slovenia, Spain, and Turkey). Data collection was based on
a questionnaire survey applied through online tools between July and November 2021. For data
analysis, techniques such as factor analysis, cluster analysis, and chi-square tests were used, with
a significance level of 5%. A total of 27 items were used to measure knowledge on a five-point
Likert scale. Applying factor analysis with principal components and Varimax rotation, a solution
that explains about 55% of variance was obtained. This accounts for four factors that retained
22 of the 27 initial items: F1 = Sustainability (8 items), F2 = Nutrition (8 items), F3 = Production
Factors (2 items), and F4 = Health Concerns (4 items). Internal consistency was evaluated through
Cronbach’s alpha. The cluster analysis consisted of the application of hierarchical methods followed
by k-means and produced three clusters (1—‘fearful’, 2—‘farming,’ and 3—‘ecological’ individuals).
The characterisation of the clusters revealed that age did not influence cluster membership, while sex,
education, country, living environment, professional area, and income all influenced the composition
of the clusters. While participants from Mexico and Spain were fewer in the ‘fearful’ cluster, in those
from Greece, Latvia, Lebanon, and Turkey, the situation was opposed. Participants from rural areas
were mostly in cluster 2, which also included a higher percentage of participants with lower income.
Participants from professional areas linked with biology, food, and nutrition were mostly in cluster 3.
In this way, we concluded that the level of knowledge about EIs is highly variable according to the
individual characteristics, namely that the social and cultural influences of the different countries
lead to distinct levels of knowledge and interpretation of information, thus producing divergent approaches to the consumption of insects—some more reluctant and measuring possible risks. In
contrast, others consider EIs a good and sustainable protein-food alternative.
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/publishedVersion
Access restrictions
openAccess
http://creativecommons.org/licenses/by/4.0/
http://creativecommons.org/licenses/by/4.0/
Language
eng
Comments