FOOD SAFETY MANAGEMENT
Food Consumer Models: The Case of the Responsible Consumer
Enrica DONIA1*, Angelo Marcello MINEO1, Danilo CESARINI1, Filippo SGROI1
1University of Palermo, Italy
E-mail: enrica.donia@unipa.it; angelo.mineo@unipa.it; danilo.cesarini@gmail.com; filippo.sgroi@unipa.it
*Corresponding author: Enrica Donia, Department of Economics, Business and Statistics, University of Palermo, Viale delle
Scienze, Edificio 13 – 90128 – Palermo, Italy; E-mail: enrica.donia@unipa.it
Abstract
The profile of the responsible consumer, that is, an individual whose purchases strive to satisfy altruistic aims above
and beyond one’s merely personal consumer necessities, is closely correlated to the one’s socio-economic
conditions. All subjective aspects considered, the correlation between responsible consumption in the agri-food
sector and the level of education of the individual was studied herein by way of a statistical survey, conducted on a
sample of 108 individuals. Likewise, the correlation between the level of responsible consumption and the average
monthly expenditures was also elucidated.
The study was carried out using the statistical software environment R and the results indicate that responsible
consumption is positively correlated with both of the aforementioned variables. The study is suited to identify which
segment of the population has the possibility of making informed choices in the market based on the fact that its
income allows better access to certain markets, and by virtue of the fact that a higher cultural level allows one to have
better access to information, which makes for a more thorough understanding of the issues.
Keywords: agri-food, food consumption, linear regression, responsible consumer.
1. Introduction
The price-quality ratio is no longer the sole driver of consumer choices, albeit remaining one of the main factors.
Nowadays, besides a product’s functional utility, strictly speaking, preferences are increasingly influenced by other factors
(Mohr et al., 2001).
The new-millennium consumer weigh ups altruistic objectives, thus incorporating social themes into his or her choices, so
as to enhance individual well-being. In the economic literature
such behavior goes by a variety of diverse names, however, by
and large, we may encompass this motif under the catch-all
heading of socially responsible consumption (Zecca and
Rastorgueva, 2016; Paltrinieri, 2008; Webb et al., 2008; Mohr
and Webb, 2005).
This thread of research is decidedly linked to the ambit of
ethical economy (Koslowski, 2008), where some particular
cases, which often challenge concepts such as rationality of
behavior, are sought to be incorporated into classical economics
theory (Arvidsson, 2008).
Globalization, consumerism, the indiscriminate pursuit of
profit at all costs have characterized significant aspects of modern society to the detriment of quality of life (Contň et al. 2015;
Tregear, et al. 2007; Micheletti and Stolle, 2004;Belleti and
Marescotti 1996;), such that the socially responsible consumer
emerges as a modern, dynamic figure whose origins take root
from this very transformation of society (Contň et al., 2016;
Mancini et al. 2015; Marotta and Nazzaro, 2012).
The aim of this study is to attempt to characterize this strain
of socially-responsible consumers through two predominant
social features so as to assess whether their choices bear any
correlation with the level of personal development or the means
at their disposal. The sector of reference is the agri-food industry
inasmuch as it caters to an essential prerequisite of human life,
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Vol. 18, No. 161/December 2017
namely nutrition, also representing one of the sectors most
closely linked to the notion of quality of life, taking into account
its inseparable links to human health, to the environment and the
economy of a country (Akkerman et al. 2010).
In other words, the agri-food sector is at the crossroads of
this phenomenon for two simple reasons: firstly because it
satisfies a primary need, thus closely linked to quality of life, and
secondly because the production of foodstuffs is intimately interrelated with the environment, as exemplified by the concept
of agricultural multifunctionality.
All the more, the agri-food sector is the one where the supply
has been keen on adapting to this new and growing demand on
the part of consumers, particularly as far as sustainability of
production is concerned, for example by implementing short
food supply chains such as organic produce or Zero-Km food
(Tacchi, 2014). In general, consumers seeking to put forms of
responsible consumption into practice have not needed to go to
great lengths to find the target markets to satisfy them, among
which the ethical purchasing groups (in Italian Gruppi di Acquisto Solidale GAS), farmers markets, Bottega Verde (an Italian
franchising for natural cosmetics and beauty products) and fair
trade initiatives (Fanfani, 2009; Shaw and Clarke, 1999).
This analysis of socially responsible consumption puts forward
an assessment of individual behaviors having mass ramifications, often compared to quasi-political actions or the adoption
of a stance in response to situations generally regarded as
harmful to the well-being of both the individual and society at
large, such as pollution, labor exploitation, etc.
An interesting facet of this study focuses on how such consumption patterns position themselves within the theory of
consumer choice, contrasting the responsible consumer with the
"rational" archetype. May incorporating into one’s utility function
choices of an altruistic nature, thereby maximizing utility by
fulfilling social necessities, be defined a rational behavior?
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FOOD SAFETY MANAGEMENT
With reference to the inquiries above, the literature forks off
into two contrasting orientations: a first one, of a certainly more
restrictive nature, which excludes such activities from rational
behavior inasmuch as the individual would shun this revamped,
costlier basket of goods, given his or her disposable income;
vice versa, the second orientation, shared by us, deems such a
consumption pattern highly rational, since achieving individual
well-being is taken to be an increasing function of the well-being
of society as a whole, thereby underlying the individual’s very
sense of fulfillment (Kahneman and Krueger, 2006).
2. Materials and methods
The deliberate adoption of this premeditated stance, at the
moment of actually making a purchase, presupposes an overall
assessment of the issue. A similar conclusion likely involves
prior knowledge of the phenomenon, the product, the company
and of the production methods, but gleaning such information, in
turn, presumably entailed an investment of time and money.
Furthermore, said choices often imply knowingly opting for
markets with higher than average prices. Hence, it is legitimate
to assume that those tending towards responsible choices likely
have sufficient spending capacity and a moderate to high
cultural level.
Our objective is to prove the substance of the above
assumptions, while verifying whether the level of responsible
consumption, specifically regards the agri-food sector, is directly
proportional to the level of education and spending capacity. A
higher level of education should correspond to a higher cultural
level, hence greater ease at accessing information and more
critically evaluating phenomena. In the case of individual expenditures we assessed average monthly spending for food items,
which is a reasonable indicator of the economic possibilities of
the person considering that such spending also includes food
consumed outside of the home (e.g. at a pizzeria or restaurant).
The greater the spending capacity, the greater the subject’s
choice and the easier the access to more expensive or niche
markets, such as the organic variety. In general, we seek to
elucidate whether or not socially responsible consumption is
closely linked to certain measurable socio-economic conditions
of individuals.
The analysis conducted focuses on the food industry. The
data to be processed was collected via a mixed questionnaire
with both open and multiple-choice, closed-ended questions.
The questionnaire basically consisted of two parts: in the first,
key data regarding the socio-economic characteristics of the
respondent were collected; the second part consisted in a total
of 19 questions associated with the different facets of socially
responsible consumption, seeking to evaluate the propensity, or
better yet, the sensibility towards such behavior.
The survey was conducted on 108 randomly chosen individuals, interviewed in person and face to face. The latter
method was selected in consideration of the possibility that
some words or sentences might have required further explanation, although the percentage of those actually finding difficulty
with the arguments covered equaled 7%, consisting mostly of
older subjects.
The survey sample consisted of 36 women (33%) and 72
men (67%) ranging from ages 19 to 81.
The age of subjects it is between 19 and 81 years, the subjects were divided by classes, in particular have been identified
seven size classes of 10 years extremes included, the class with
more subjects is the first, that is the category that includes
subjects from 18 to 27 years, the classes that are significantly
different than other classes are the last two with a distribution of
6 subjects in 68-77 years, one subject in 78-87 years.
Other subdivision has been made in function of the persons
composing the family nucleus. Significant is the number of
respondents (37) who are part of families of four people
146
(34.2%), followed by families of five people 22.2% and three
people 16.6%.
An important variable in the analysis of the responsible
consumption is the cultural level, since knowledge of certain
topics or higher sensitivity levels require a level of greater information compared to the average, therefore one of the
questions that can describe in the best way the level culture is
the educational qualification. The selected sample has a high
school diploma to 37%, has a degree to 32.4%, with the average
license to 13.9%.
The detected subjects were divided as by profession, 23.1%
of the sample was found to be employed (employees who
mainly perform intellectual activities), 17.6% are unemployed,
16.6% are students.
The sample was further divided into seven classes of average monthly spending, spending that much still it depends on
the individual spending capacity of individuals; with 33.3% the
class that entails an average monthly expenditure comprised
between EUR 100 and 200 was the higher, followed by the class
EUR 0-100 with 21.3% and EUR 200-300 with 20.3%.
Most of the sample refused to answer the question on income, for this reason, the sample was divided into "no income"
(1%); single-income (39%); more of an income (60%).
Data processing was performed using the R software
package by entering the data collected so as to explore the correlations of cultural level and individual spending patterns to the
level of individual responsible consumption, via analysis of
variance (ANOVA) and by fitting a simple regression model.
In order to conduct the analysis it was necessary to identify
a factor indicative of the cultural level of interviewees; the
variable that most closely reflects that cultural level was assumed to be the more easily measurable level of education.
Individual spending instead allowed us to obtain a numerical
vector, whereby each number identifies the absolute values
corresponding to the average monthly expenditures of the interviewee.
Obtaining a numerical vector of responsible consumption
was a bit more complex, requiring a subjective evaluation of the
questionnaire responses so as to convert the qualitative options
chosen by respondents into quantitative values. The method
used to evaluate the questionnaire consisted in assigning a
numerical score to a group of questions that express an
individual’s objective tendency towards patterns of responsible
consumption. The reference model was that of reliability of
production assessments regards suppliers on the part of GAS
ethical purchasing groups.
The level of responsible consumption was obtained by
summing up the scores to the individual questions, each ranging
from a minimum of 0, i.e. no responsible consumption, to a
maximum of 39. In the multiple-choice questions each choice
has its own reference value easily identified according to their
decreasing or increasing values; in the open-ended questions
the evaluation was subjective taking into consideration the completeness of the response, or rather the ability to reveal certain
behaviors typical of responsible consumption.
The resulting variable was called "CSR" representing a
numerical vector whereby each element of the vector is the
corresponding responsible-consumption value of the
interviewee. CSR is the response variable to be compared first
and foremost with the qualification variable, then with the
expenditures or spending variable.
First, the relationship between the level of education and
responsible consumption serves to establish whether actions,
such as the behavioral patterns of critical consumption or boycotting them, somehow depend on the individual's cultural level
and, if so, whether increases of one also correspond to
increases of the other.
Qualification is the factor that represents the level of
education of the person interviewed. The factor levels are: no
qualification, primary, middle, or secondary-school diploma, or a
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FOOD SAFETY MANAGEMENT
university degree.
In order to carry out the analysis we used the R statistical
environment and fitted a one-way (ANOVA) model, or a
Student's t-test generalization to k populations to test the null
hypothesis of equality of the population means. In other words,
comparisons were made between the means of the populations
so as to test the significance of the differences between them
(Table 1).
Table 1. Descriptive Analysis
increase in the level of socially responsible consumption. To test
this hypothesis a simple linear regression model was fitted using
R statistical software, as follows:
CSR: α + βexpendituresM + ε
where CSR is the response variable that represents the level of
individual socially responsible consumption, α is the intercept, β
is the slope of the regression line, expendituiresM are the
average monthly expenditures per respondent and ε represents
the stochastic part of the model.
Next table (Table 2) shows the principal dates.
diploma
Table 2. Analysis of Regression line
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
9.00
17.00
22.00
21.47
26.00
31.00
lm(formula = csr
~ expendituresM)
Residuals
elementary
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
Min
IQ
Median
3Q
Max
12.00
18.25
20.00
21.00
26.25
28.00
-21.411
-2.203
1.084
2.864
15.176
Estimate
Std. Error t value
Pr(>|t|)
13.824409
1.076.152 12.846
< 2e-16 ***
0.035779
0.004086 8.757
3.49e-14 ***
university
Coefficients:
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
7.00
22.00
26.00
25.49
30.00
33.00
(Intercept)
expendituresM
middle
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
1.00
8.00
17.00
17.59
26.00
31.00
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 5.385 on 106 degrees of freedom
Multiple R-squared: 0.4197, Adjusted R-squared: 0.4143
F-statistic: 76.68 on 1 and 106 DF, p-value: 3.493e-14
n.qualification
Min.
1st Qu.
Median
Mean
3rd Qu.
Max.
13.00
14.50
16.00
17.33
19.50
23.00
As can be seen from this first descriptive analysis, the means
of the different levels of the factor are different, specifically the
means are arranged according to the following order:
no qualification < elementary < middle < high school < university
The inference is that the higher the level of education, the
higher the average level of responsible consumption. To test
whether this difference in means was significant, Student’s t-test
was used.
Having set the level of significance at 5%, the hypothesis
system was as follows:
H0 : αi = 0 for every i
H1 : αi ≠ 0 for at least some i
In sum, with alpha we define the additive effect of the single
factor; if equal to zero, none of the levels has a single effect
greater than the other levels, therefore confirming an equality
between the means; vice versa if it is different from zero, at least
one difference between two levels is significant, thus a difference exists between at least two means. Verification is based
on the value of the significance value p. If the value is lower than
the set level of significance, the alternative hypothesis is accepted, vice versa we fail to reject the null hypothesis.
As far as the amount of individual spending is concerned, we
can assume it to be a good indicator of the socio-economic
status of the respondent. In fact, some products whose features
are in part related to socially responsible consumption drivers,
often belong to markets having higher than average selling prices,
or whose markets are more difficult to access, nonetheless
bearing in mind the additional time/effort required to acquire the
relevant information.
Consequently, the hypothesis to be tested is whether the
increase in average monthly expenditures correlates with an
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By way of the first commands we are able to estimate the
parameters of the regression line:
csr = 13.824409 + 0.035779spesaM
2. Results and discussion
As shown in the diagram below (Table 3), the results obtained give a p value of less than 5%, therefore the alternative
hypothesis H1, i.e. at least one difference between the means is
significant, is accepted.
Table 3. Analysis of Variance Table
Response: CSR
Df
Sum Sq
Mean Sq F value Pf(>F)
Qualification
4
865.5
216.381
Residuals
103 4432.7
50279 0.0009648 ***
43.036
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’1
The presence of an added effect of at least one factor
demonstrates that the qualifications variable influences one’s
level of responsible consumption, that is, the scale of the mean
values of the individual factors increases. This feature highlights
two different and highly significant objective characteristics that
emerge at the moment of purchase: first, with regard to the
supply side, there is a low level of diffusion of relevant information concerning the production and commercialization of
these products, entailing a difficulty for the consumer to access
information and appropriately interpret it. Secondly, consumers
who manage to acquire the information must have the
background knowledge that allows them to evaluate them
properly. In this regard, an increasing cultural level on the part of
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FOOD SAFETY MANAGEMENT
the individual favors those self-safeguarding patterns of behavior that allow him or her to make informed choices.
Similarly, with regard to the individual spending, which includes both domestic consumption as well as that outside of the
home, it is, at least in absolute terms, an indicator of the socioeconomic status of the respondent. An increasing range of
average individual spending values fairly objectively reflects a
corresponding range of personal economic income. In light of
the present study, this premise establishes that: given that the
level of responsible consumption increases with increases in
consumers’ average monthly expenditures, increased earning
capacity objectively affords consumers greater possibilities of
taking a position in the market.
As can be seen, the slope of the line (13.824409) is positive
and non-zero (although very close), with a determination coefficient R2 of 0:41. Although the latter indicates a low model fit to
the data, one may verify whether this difference is nonetheless
significant, such as to suggest that the response variable is
effectively correlated, in this case positively, with the independent variable by comparing the p.value with a significance
level of 5%, so as to either reject or fail to reject the null
hypothesis of α = 0. In the case in point, this value is lower, thus
allowing one to reject the null hypothesis and accept the
alternative hypothesis of α ≠ 0.
The above mentioned situation is shown in Figure 1.
to the notion of quality of life, then responsible consumption may
become an essential collaborative tool of economic policy. As
such, the main direction to embark upon should be that of uncoupling the possibility of positioning oneself freely in matters of
consumption choices from one’s socio-economic conditions.
Q-as
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Figure 1.
Relationship
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responsible
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and
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3. Conclusions
The objectives that responsible consumers pursue, in any
case, generate positive externalities, because, even though socalled green goods are purchased for primarily self-interested
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being safeguarded in their own right, are also intimately related
148
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