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Article

Ethnocentrism Effects on Consumers’ Behavior during COVID-19 Pandemic

by
Giuseppina Migliore
1,
Giuseppina Rizzo
1,*,
Giorgio Schifani
1,
Giuseppe Quatrosi
2,
Luigi Vetri
3 and
Riccardo Testa
1
1
Department of Agricultural and Forest Sciences (SAAF), University of Palermo, Viale delle Scienze, Ed. 4, 90128 Palermo, Italy
2
Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (ProMISE), University of Palermo, Viale delle Scienze, Ed. 9, 90128 Palermo, Italy
3
Oasi Research Institute-IRCCS, 94018 Troina, Italy
*
Author to whom correspondence should be addressed.
Economies 2021, 9(4), 160; https://doi.org/10.3390/economies9040160
Submission received: 6 September 2021 / Revised: 4 October 2021 / Accepted: 19 October 2021 / Published: 22 October 2021
(This article belongs to the Special Issue The Economics of Health Outbreaks and Epidemics)
Versions Notes

Abstract

:
The COVID-19 pandemic has upset everyone’s normal daily activities, generating psychiatric disorders and changing consumers’ preferences. Among others, the agri-food sector has experienced strong changes and, during the lockdown period, Italian consumers modified their purchasing habits in response to the fear and uncertainty generated by the spread of the virus. In order to find out the main consequences of the shock suffered during the period and to understand which factors have affected purchasing choices, an online survey was conducted on 286 Italian consumers. The results show that ethnocentrism has been the factor that most has influenced consumers’ behavior during the lockdown period and that consumers will continue to prefer national agri-food products when pandemic will be over, constituting a deep change to future eating habits.

1. Introduction

In March 2020, the WHO issued a pandemic alert due to the infectious disease COVID-19 (COronaVIrus Disease-2019) (United Nations 2020; World Health Organization 2020). In an attempt to stop and combat the spread of the virus, stringent containment measures were adopted in many countries with severe restrictions on the normal course of daily activities, such as the compulsory use of medical masks, social distancing and the closure of public buildings in favour of distance learning and smart working.
These restrictions have overturned the normal course of economic activities in every production sector, including the agri-food one (United Nations 2020). The pandemic has revealed the vulnerabilities of food market to shocks and crises (Power et al. 2020). On the supply side, restrictions on people’s mobility have contributed to labour shortages and crop failures (OECD 2020). At the same time, frightened by the ongoing pandemic, consumers have changed their values and their purchasing choices, giving preference to food of national origin (Cappelli and Cini 2020).
Consumers, who have become more attentive to their health and more careful in their hygienic behaviours to avoid infection by COVID-19, have changed their eating habits, preferring often local and domestic food products (Končar et al. 2021).
During a pandemic, in fact, a very important problem is that limitations, fear and panic, drastically reduce both the consumers’ displacements and the food distribution through global supply chains, increasing the consumption of local products that provide a rapid response to local needs while reducing food contamination as well as the infection of employees during transport (Hamadani et al. 2020; Sarkis 2020). For example, in Italy, a national survey carried out by Nomisma (Nomisma 2021) showed that in the first seven months of 2020 there was a 3.3% increase in retail sales of Italian foodstuffs compared to the previous year. The same survey showed a re-channelling of consumption, with a strong domestic consumption component, indicating that the Italian agri-food sector was able to respond to the needs of the moment and that domestic food is a guarantee of food safety for the Italian consumer.
Thus, the shock of the current situation has further emphasised the preconceived notion in the consumer that the assessment of food quality can be based, among other things, on its national identity (Končar et al. 2021). Previous literature showed, in fact, that the country of origin of the food is important to consumers who perceive it as an attribute of quality (Kaynak et al. 2000; Schnettler et al. 2011; Insch and McBride 2004; Chiou 2003; Leonidou et al. 1999). In addition, some studies (Ricci et al. 2019; Massa 2012; Moser et al. 2011) have shown how the concept of “Made in Italy” has evolved to the characteristics of a brand with a defined identity, synonymous with quality and reliability not only in Italy but also worldwide.
Taking into account the above, the hypothesis of this study is that the growing interest of Italian consumers in domestic products during the COVID-19 pandemic may also were influenced by ethnocentric consumption values. The latter refer to the tendency to judge their own culture and products as superior to that of others, refusing what comes from other countries (Liu et al. 2006). However, to the best of our knowledge, this thesis has not yet been tested in the literature. In order to fill the existing gap, the aim of this paper is to assess exactly whether food purchases during the COVID-19 pandemic period were also driven by ethnocentric consumption values.
In order to achieve this goal, a survey on the purchasing behaviour of 286 Italian consumers during the second phase of the pandemic was carried out.
The paper is organized as follows: after this introduction, there follow two sections that explore the neurological and psychological aspects that surfaced in the consumer during the pandemic and the literature on consumer ethnocentrism. It has been chosen to develop a section devoted to neurological and psychological aspects because addressing the issue from a medical perspective provides a more complete overview of the conditions that led to the development of ethnocentric attitudes in consumers during the pandemic. Subsequently, after explaining the adopted methodology, the results of the survey are reported. Finally, discussion section and conclusions are discussed.

2. Neuropsychological Effects of COVID 19 Pandemic

An increasing number of studies has investigated the psychological impact of the COVID-19 pandemic on adults, adolescents and children (Mukaetova-Ladinska and Kronenberg 2021; Stamu-O’Brien et al. 2020).
The prolongation of the COVID-19 pandemic can lead to dysfunctional psychological dynamics that activate anxiety, depression and post-traumatic stress disorder (Roccella 2020).
Among the main stress factors determining widespread emotional distress and an increase of psychiatric disorders associated to COVID-19 (Table 1), there have been measures and actions taken by authorities limiting personal freedom, increasing financial difficulties, changes in daily routine, fear of getting sick, relational flattening and feelings of loneliness (Pietrabissa and Simpson 2020). The constant feelings of discomfort and tension increased by lockdown and by restrictive measures can lead, in fragile subjects, to develop into social anxiety (Zheng et al. 2020).
Recent studies have been carried out through online surveys in the United Kingdom on the general population and on vulnerable groups including people with pre-existing mental or physical health issues in order to investigate the alterations of the mental health and the actions and behaviors implemented to maintain the state of well-being during COVID-19 pandemic. The results of the survey underlined interviewees’ widespread concerns about social isolation and distancing, an increase of anxiety-depressive disorders, and negative feelings and concerns related to the effects of the pandemic, especially financial (Holmes et al. 2020).
The population surviving previous pandemics or very dangerous life events has an elevated risk of developing a post-traumatic stress disorder. Therefore, one of the main consequences of the COVID-19 pandemic is the social isolation leading to an increased risk of depression, alcohol and drug abuse, suicide, and increased stress for financial concerns and job loss (Turecki et al. 2019; Elovainio et al. 2017).
The aforementioned studies analyze the psychological and social factors involved by the epidemic and which affect people’s psychological and physical well-being. Other studies have underlined the positive or negative role that media can play during a pandemic in reassuring and informing the population or, on the contrary, in spreading fake news and, therefore, influencing people’s psychophysical balance (Venegas-Vera et al. 2020).
It should be remembered that for people with previous mental or physical problems or hospitalizations, isolation emphasizes their vulnerability, causing an increase of anxiety, depression, eating disorders, or breaking the fragile psychological stability of those fragile subjects (Vetri et al. 2021). The closing of schools can have serious effects at this developmental age, especially on those with special needs, leading to the onset of psychological disorders. Especially for those on the anxiety disorder spectrum, therefore, it is recommended to implement preventative measures in order to protect the mental health of children and adolescents (Loades et al. 2020).
The spread of the pandemic has also affected the food choice behaviors of the population with consequences on lifestyles often causing depression, anxiety, hypochondria, insomnia and food choice behaviors with frequent dysfunctional use of food, for example for consolatory purposes (Savarese et al. 2021; Di Renzo et al. 2020a).
Conversely, has been observed that spending the majority of time at home, people tend to eat more nutritious food in the first part of the day, to make healthy choices in line with the correct nutritional guidelines, to have more time to devote to personal care and therefore to put on weight less and sleep better. Similarly, it has also been observed an increased use of supplements, especially containing substances which, according to the public opinion, strengthen the immune system (vitamin A, C, D and the vitamins of group B, Zn, curcumin, probiotics, selenium, lactoferrin, quercetin, omega-3 fatty acid) (Hamulka et al. 2020).
Fear of death and of illness changed usual habits and eating lifestyles, turning them, in the majority of cases, towards heathier behaviors. For example, a recent study involving 3533 respondents aged between 12 and 86 years has underlined in the interviewed subjects a greater adhesion to the Mediterranean diet, purchase of local products, purchase of organic fruits and vegetables, increase of homemade food (bread, pizza, desserts), smoking reduction, slight increase of physical activity and lower body mass index (BMI) (Di Renzo et al. 2020b). According to an online survey administered by the Engage Minds Hub (a research center of the Univesità Cattolica, in Cremona, Campus of Santa Monica, Italy) of more than 1000 Italian citizens, it has been underlined that the COVID-19 pandemic is changing the eating habits and values of the Italians, moving them towards local and certified products. Especially people with more anxiety and depression symptoms tend to choose national high-quality products because they distrust everything that comes from abroad, also showing closure behaviors in the eating field. This shows how, during this pandemic, Italian consumers have modified their dietary regime in favor of healthier and domestic products. However, it turns out that 40% of the Italian population does not perceive that strengthening the immune system through food consumption could help them to limit the contagion of COVID-19 disease. Among these, those who attach less importance to food as prevention differ in their psychological attitude towards health and food, which seems to represent a different approach to food consumption (Savarese et al. 2021).
Regarding the increased preference of Italian consumers for foods of local or national origin, it is not clear if this change in food consumption habits, and as a consequence, the distrust toward foreign food products, is also driven by ethnocentric values. Thus, analyzing consumers’ preferences during the COVID-19 pandemic can help clarify which factors, health or ethnocentric considerations, have effects on Italian consumers changing habits.

3. Consumer Ethnocentrism Literature

This study is based on ethnocentrism theory (Sumner 1906). The concept of ethnocentrism dates back to the early 1900s, when social psychologist William G. Sumner first addressed the subject, defining it as “a conception whereby the group to which one belongs is considered the center of everything, and all others are classified and evaluated in relation to it”.
On the basis of this definition, the main characteristic of ethnocentric individuals is their tendency to judge their own culture as superior to that of others, to the point of rejecting cultures dissimilar to their own (Liu et al. 2006). From this perspective, ethnocentric values can influence individuals’ preference for any product category (Kaynak and Kara 1998); even when there are no objective reasons for preferring domestic over foreign products (Sharma et al. 1995).
Applying the concept of ethnocentrism to consumption practices, in 1987, Shimp and Sharma coined the concept of consumer ethnocentrism, defining it as “the beliefs held by (American) consumers about the appropriateness, indeed morality, of purchasing foreign-made products.” More specifically, by analyzing the beliefs of consumers and corporate buyers about domestic and foreign products in the United States, the authors stated that ethnocentric consumers believe that buying domestic products is right because they are of better quality and help the local economy and workers (Zeithaml 1988; Shimp and Sharma 1987).
Indeed, ethnocentric consumers tend to perceive the quality of domestic products as superior to foreign ones (Šmaižienė and Vaitkienė 2015; Chryssochoidis et al. 2007), while at the same time in thinking that they are acting morally correct only by purchasing domestic products, they are inclined to maintain a high degree of self-control in order to meet their own moral standards (Baumeister and Juola Exline 1999) Baumeister. In this regard, Tuk and colleagues (Tuk et al. 2015) have shown that self-control instigates positive spillover effects from the domain in which it is exercised into other domains in which it was not initially exercised, and state that, for example, increased attentional or emotional control can reduce unhealthy food consumption. Consumer ethnocentrism, in this sense, should therefore not only lead consumers to perceive national food as higher quality, but also incite them to perceive it as healthier (Uzdavinyte et al. 2019; Dogi 2015).
Since Shimp and Sharma’s study, numerous researches around the world have investigated the role of ethnocentrism with regard to consumers’ intention or willingness to buy domestic and/or foreign products (Zeren et al. 2020).
It has been shown that ethnocentric values can be influenced by several antecedents that increase or decrease the propensity towards domestic or foreign products, including socio-psychological, political, and demographic factors (Ricci et al. 2019; Shankarmahesh et al. 2004).
As regards socio-psychological factors, some studies reveal that who likes to travel have a low ethnocentrism level, because these consumers are open towards new cultures and experiences (Kottasz and Bennett 2006; Nijssen and Douglas 2004). This highlights that cultural background and individual values play a key role in ethnocentrism, especially in a more and more globalized market (Sharifonnasabi et al. 2020). Farah and Mehdi (Farah and Mehdi 2021) affirm that, among individual factors, animosity positively affects consumer ethnocentrism. According to these authors, in fact, the hate towards other groups for cultural, historical, political or economic factors makes consumers more ethnocentric, and it often flows into forms of nationalism or patriotism. In this regard, several studies (He and Wang 2015) have shown that ethnocentrism is positively affected by nationalism (asserting the economic superiority and national dominance of a country) and patriotism (pure love and attachment to a country). However, ideological value can vary from country to country, inasmuch it is closely linked to history, culture, economic and political context of a specific territory, because it depends on individual behavior as well as on governmental policies (Maksan et al. 2019; Makanyeza and Du Toit 2017). Finally, demographic characteristics have a significant influence on consumer ethnocentrism. Several studies show that consumers with a more ethnocentric behavior are often women or older people, with a lower education level (Sharma 2015; Aziz et al. 2014; Alsughayir 2013) and lower income (Mockaitis et al. 2013). In this regard, a recent study by Aljukhadar and colleagues (Aljukhadar et al. 2021) among a US and Canadian sample, affirms that lower-class consumers, characterized by a low level of income and education, tend to not buy foreign products, regardless of their ethnocentrism. However, findings from the literature have returned inconsistent outcomes, in fact, some studies have shown that younger and pre-degree holding people are more ethnocentric (Guo and Özdinç 2021) while other studies do not reveal a statistically significant influence of gender (Nadiri and Tümer 2010).
However, all above-mentioned antecedents often not are independent among them, but they can be connected according to the different issues for which ethnocentrism has been adopted.
In economic literature the consumer ethnocentrism has been analyzed, especially for country-of-origin (COO) or local products, negatively affecting the purchase of foreign products (Hustvedt et al. 2013; Orth and Firbasova 2003). Several studies highlight that the COO knowledge is a key factor for ethnocentric consumers and, normally, COO knowledge is higher than the ethnocentrism level. In particular, a recent study by Ortega-Egea and García-de-Frutos (Ortega-Egea and García-de-Frutos 2021) shows that COO knowledge increases consumers’ risk perception of Chinese products among Spanish consumers, while previous usage experience affects positively purchasing non-domestic products. For their parts, Lewis and Grebitus (Lewis and Grebitus 2016) have highlighted that, by analyzing the US consumers, the more they are ethnocentric and pessimistic about the safety of their food, the more they would like the sugar content in COO food and beverages to be mandatory. The importance of COO labelling is also reported by Van Loo and colleagues (Van Loo et al. 2019) who affirm that in higher consumer ethnocentrism, greater is attention paid to product information by US cheese consumers. Conversely, consumers often avoid buying foreign products when they do not have sufficient information about them (Farah and Mehdi 2021). Moreover, some studies (Fernández-Ferrín et al. 2020; Bianchi and Mortimer 2015), have shown that consumer ethnocentrism can vary among different regions of the same country and that it has a strong influence in purchasing local or regional products, because consumers want to support local economy. This is particularly evident when consumers buy regional or local labelled products, such as Protected Designation of Origin, Protected Geographical Indications and Traditional Specialty Guaranteed (Oleniuch and Cichocka 2015) products or local sustainable fruits and vegetables (Boca 2021), because, by means of their consumption, they contribute to the sustainable development or rural areas.

4. Materials and Methods

In order to achieve the set objective, data were collected by an online survey, which was previously tested on ten consumers to identify possible errors or misunderstanding in the items meaning. Later, the questionnaire was delivered through the Google Forms web platform, during the Italian lockdown period (March–April 2020) and advertised via social networks, e-mail and university websites. Through initial screening, only adult Italian consumers were included in the survey.
The questionnaire was divided into three sections. The first part investigated consumers’ choice about Italian food products during the COVID-19 pandemic; in this section, the questions were designed to find out whether the amount of Italian products purchased during the pandemic had decreased or increased, and to investigate the intention to purchase Italian products in the future.
The aim of the second section was to investigate consumers’ ethnocentric attitudes and their responsible approach to food shopping.
Firstly, in order to measure consumer ethnocentrism, an adapted version of the CETSCALE (consumer ethnocentrism tendencies scale), developed by Shimp and Sharma in 1987 (Shimp and Sharma 1987), was used. It was chosen to use this psycho-attitudinal scale because it succeeds in explaining the attitudes that strongly influence food choice behavior. It follows that by using it, it is possible to infer the food choices of consumers regarding Italian products. The diffusion of the CETSCALE is due to the fact that it does not analyze ethnocentrism exclusively from sociological or psychological perspectives, but also from an economic perspective, by analyzing the reactions consumers have when they purchase foreign products. However, although the CETSCALE represents the most widely adopted tool, several studies have shown the need for modifying it because consumers can have different ethnocentrism behaviors according to specific cultural and geographical contexts. In line with other authors (Shimp and Sharma 1987), a reduced version (7 items) of the scale was adopted to make it easier for consumers to complete the online questionnaire. In it, for each item, consumers indicated their opinion on a five-point scale (from totally disagree to totally agree).
Secondly, with regard to responsible consumer behavior, consumer attention to food labelling, the quality-price ratio of Italian products and food safety have been investigated.
Finally, socio-demographics variables, such as age, gender, family income, and education were collected. A total of 300 responses were gathered, but 14 observations were wrong and, for this reason, the final sample was composed of 286 Italian consumers. Descriptive analyses were carried out to describe the profile of the sample, the psycho-attitudinal scale used, and the preferences of consumers towards Italian products.
Initially, the socio-demographic variables and all the single covariates were analyzed, obtaining the mean, the standard deviation and the maximum and minimum values. Subsequently, in order to verify the internal validity of the CETSCALE, Cronbach’s alpha was calculated. This coefficient is a statistical indicator used to measure the consistency or reliability of a score in psychological tests for a sample of subjects examined.
Finally, two dependent variables were studied through two Logit models, estimating first the possible increase in the purchase of Italian products during the pandemic, and then the intention to purchase Italian products in the future.
Logit regression, in statistics, is a non-linear regression model used when the dependent variable is of a dichotomous type, with values of O or 1. The aim of the model is to establish the probability with which an observation can generate one or the other value of the dependent variable.
Y = ln(P/1 − P) = a + bX
In particular, the function takes the value 1 with probability p, and the value 0 with probability 1 − p. The coefficient b represents the change in Y (dependent variable) as X (independent variable) changes. After regression, odds ratios (OR) were determined. An OR represents the change in the next category compared to the change in the previous category. By increasing the covariate by one unit, the probability of moving from the previous class to the next class increases by what the coefficient indicates
All analyses were conducted using Stata/SE 15.0 software.

5. Results

5.1. Descriptive Statistics

Table 2 has described socio-demographics variables of the sample. The share of males was lower (122 man) than females (164 women). The mean age was 42 years, ranging from 19 to 76. The average education was medium-high, as 172 respondents were at least university graduates. Finally, the sample was characterized by a good-to-average income, identified by the statement “With my salary, I have no difficulty in making ends meet (middle income)”.
Considering attitudes of individuals, Table 3 shows the mean values and the standard deviations of the consumer ethnocentrism items.
Attitudes were shown in the literature to strongly influence food choice behavior (Tuorila 1997). So, the psycho-attitudinal scale can be used to explain consumers’ food choices regarding Italian products.
The analysis of Cronbach’s alpha has obtained a score of 0.89. Since, in general, high reliability values are considered to be those greater than or equal to 0.65, it was possible to confirm the satisfactory reliability of the scale. Therefore, CETSCALE items were summarized in a single value using their mean score as an overall measure of consumer ethnocentrism.
With regard to responsible consumer behavior, the questionnaire included three sentences. The first one investigated the consumer’s attention to the label and stated: “I always look on the label if the ingredients with which the Italian branded product is made are of Italian origin.” The second concerned food safety, stating that “Italian products are more controlled and therefore safer.” The third took into account the quality-price ratio of Italian products: “They have a better quality-price ratio than imported products.”
For each of these, the respondents responded with a value from 1 (totally false) to 5 (totally true). Table 4 below shows the statistical values obtained.

5.2. Determinants of Consumer Choice for Italian Foods

In order to investigate what factors determined both the increase of Italian food purchase during the COVID-19 pandemic and purchase intention, two Logit models were developed.
The first step was to test whether the observed sample actually has changed its purchasing habits regarding Italian products during the pandemic. It has emerged that as many as 40.91% of the sample increased the quantity of Italian products purchased.
It is interesting to note, however, that the whole sample purchased a high quantity of Italian foods. In fact, the first subgroup, which did not increase its purchase of Italian products during the pandemic, declared that, while shopping, they purchased between 50 and 75% of Italian products anyway (mean 4.95); while the group whose expenditure of Italian products has increased expressed an average percentage between 75 and 90% (mean 5.26). These data show a clear preference for Italian products, which was partially accentuated during the pandemic.
The dependent variable of the first logit regression model was “Increased consumption of Italian products,” a dichotomous question expressing whether or not the purchase of Italian products had increased (0 = not increased; 1 = increased). Table 5 shows the results of the model.
The unit increase of the variables gender, age, CETSCALE_MEAN and attention to food label positively influenced the probability of buying more Italian products. To understand which of these variables has a greater influence, odds ratios were then analyzed in Table 6.
The factors that most influenced preferences towards Italian products were (in decreasing order) ethnocentrism, attention to food label, age and gender. Furthermore, the value of gender was less than 1, so this means that the covariate negatively influenced the dependent variable; being dichotomous, the probability of increasing the amount of Italian food products was higher in women.
Having studied which variables can explain the increase in consumption of Italian products during the COVID-19 pandemic, it was finally interesting to investigate the evolution of consumer behavior in relation to the shock caused by the pandemic. Respondents, therefore, were asked about the future intentions to further increase the amount of Italian food products purchased. From the analysis of the data, it emerged that, as soon as the pandemic is over, 39.16% of the sample would not change their habits (which are, however, represented by high percentages) and 60.84% will further increase the quantity of Italian products bought. A logit regression model was then applied again to see which determinants influenced the consumer intention to purchase Italian products in the future (Table 7). This new regression model included as a covariate the variable “Increased consumption of Italian products,” which was the dependent variable in the first regression.
Socio-demographic variables did not affect the intention to buy more Italian food in the future. On the contrary, the statistically significant variables were: quality-price ratio, having bought more Italian products during the pandemic, ethnocentric values and attention to food label. Odds ratios are developed in Table 8.
The odds ratios show the positive influence of all four significant covariates. In descending order, the greatest influence was given by having already increased the amount of Italian food purchased during the pandemic, followed by the quality-price ratio of Italian products, ethnocentrism and attention to food label.

6. Discussion

Our results have shown that the Italian consumers’ choices during the lockdown imposed in response to COVID-19 pandemic were closely related to their ethnocentrism level. This is in line with a recent study conducted on Italian consumers showing that during the lockdown period they chose to buy national and certified foods because they have a mistrust of everything that comes from abroad and tended to manifest closure behaviors even in the food sector (Savarese et al. 2021). Several studies, in fact, have highlighted that, during the pandemic, consumers have changed their eating habits due to the displacement limitations, fear and panic, increasing the consumption of local or domestic products in order to avoid food contamination or infection during transport (Hamadani et al. 2020). Consumers, in fact, are pushed by the panic purchasing behavior induced by psychological factors such as uncertainty, perceptions of severity, perceptions of scarcity, and anxiety (Di Renzo et al. 2020b). Therefore, during the lockdown they tried to accumulate as many food supplies as possible, reducing the number of shopping trips, limiting food waste, increasing online purchases and shifting towards a healthier diet (Ben Hassen et al. 2021; Goddard 2020). The pandemic has changed also the lifestyles of consumers to be more attentive towards healthier foods, increasing the purchase of both organic products and supplements that strengthen the immune system, preparing homemade foods and, often, also doing physical activity (Hamulka et al. 2020).
These results show also that the knowledge of what we eat and what we buy becomes fundamental in a period characterized by uncertainty and fear, which causes a closure towards foreign products. According to our findings, in fact, the more consumers are ethnocentric, the more they purchase Italian agri-food products and the more the knowledge of the product information reported in the label plays a key role in their decision-making process. In economic literature, this is in line with several studies on local or COO products showing that, normally, COO knowledge is higher at higher ethnocentrism levels. In particular, some researchers have highlighted that consumers’ knowledge increases the risk perception of foreign products (Orth and Firbasova 2003) and that label information represents a very important issue for ethnocentric consumers as they consider local or COO products safer, healthier or better than non-domestic products (Lewis and Grebitus 2016). On the other hand, a low knowledge level also induces consumers not to buy foreign products and increases their ethnocentrism, as they prefer to purchase well-known local or COO products (Farah and Mehdi 2021).
Moreover, despite the pandemic having reshaped the agri-food supply chain, leading to delays and errors in delivers or an increase in market prices from the strong imbalance between demand and supply (Khan et al. 2020), respondents affirm that they will continue to buy Italian products when the pandemic is over and the majority of them will increase their purchase rate.
This on the one hand highlights as the pandemic has deeply changed the eating habits of respondents who, through domestic products, try to overcome the psychological aspects that the lockdown has created (anxiety, depression and post-traumatic stress disorder) (Savarese et al. 2021; Omar et al. 2021).
On the other hand, because Italy is a country whose brand image is connected to millennial gastronomic values, thanks to its numerous culinary specialties and being the first EU country to legislate for quality labels (Protected Designation of Origin, Protected Geographical Indications and Traditional Specialty Guaranteed), “Made in Italy” products are synonymous with quality worldwide, especially in the agri-food sector (Testa et al. 2019; Fortis and Sartori 2016).
However, despite the purchase of Italian products in the future by consumers strongly depending on having increased their consumption during the lockdown, respondents declare that they will pay more attention to the quality-price ratio, which assumes a relevance very similar to ethnocentrism level. Consumers indicated, in fact, that, after lockdown, they will maintain their ethnocentric behavior towards foreign products, but they will try to buy food products paying attention also to their prices, highlighting how COVID-19 has led to an economic and social crisis as well as a health crisis (Belot et al. 2021; Dimian et al. 2021).
Finally, with regard to the socio-demographic variables, our results indicate that older people and women are more likely to buy Italian products, in agreement with the results reported in other studies on consumer ethnocentrism (Sharma 2015), while in the future these variables appear not to be statistically significant.

7. Conclusions

The COVID-19 pandemic has produced an increase of psychiatric disorders during the lockdown period from limitations of personal freedom, social distancing and the financial difficulties. In this context, Italian consumers, as well as others, have changed their eating habits in favor of domestic, home-made and healthier products. Although “Made in Italy” has always been recognized for its quality, today national agri-food products have gained even more prestige and trust in the eyes of Italian consumers. This is due to the phenomenon of ethnocentrism, which seems to occur in response to the fear and uncertainty generated during the lockdown period. Moreover, our findings show that Italian consumers will also continue to prefer national agri-food products also when the pandemic is over and the majority of them will increase their purchasing, highlighting that the pandemic has deeply changed the consumers’ behavior.
The results of the study could have theoretical, managerial and policy implications. From a theoretical point of view, more information about the phenomenon of ethnocentrism and the factors that influence consumer preferences towards domestic products is needed to enrich current knowledge on the effect of COVID-19 pandemic on consumer behavior, helping to fill the gap still present in the literature.
From a managerial point of view, the survey aims to provide entrepreneurs with useful information to evaluate the opportunity to further enhance the value of national products and to operate accordingly the most appropriate marketing and commercialization strategies for their products.
Finally, at the political level, a clear picture of the factors underlying the dynamics of the choice process would allow for a more effective calibration of economic policy interventions in support of the Italian agri-food sector and, therefore, of the recovery of the entire supply chain from the COVID crisis.
However, although interesting results were obtained from this study, it deals with some limitations. A convenience sample was used. Therefore, these results do not have a conclusive effect on the overall Italian population; they can be referred only to a specific target, composed of consumers with a medium-high level of education and income (as shown by Table 2). Moreover, the data of the study were collected through an online survey, therefore they are subject to the phenomenon of social desirability bias, which is the tendency of respondents to answer questions in a manner that will be viewed favorably by others. For further research, it could be interesting consider a representative sample of the Italian population, and applying economic experimental methods to overcome the problem of social desirability bias. Moreover, one could also hypothesize that imported products of local origin (such as those with DOP, IGP, STG certificates) could compete in terms of quality with local Italian products; it would therefore be interesting to find out what Italian consumers think about this.

Author Contributions

Conceptualization, G.M.; methodology, G.R.; software, G.R.; validation, G.S., G.Q. and R.T.; formal analysis, G.R.; investigation, L.V. and G.M.; data curation, G.R.; writing—original draft preparation, G.M. and L.V.; writing—review and editing, G.R. and R.T.; visualization, G.S.; supervision, G.M. and R.T.; project administration, G.Q and R.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Bioethics Committee of the University of Palermo (n. 2/2020).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Aljukhadar, Muhammad, Benjamin Boeuf, and Sylvain Senecal. 2021. Does consumer ethnocentrism impact international shopping? A theory of social class divide. Psychology & Marketing 38: 735–44. [Google Scholar]
  2. Alsughayir, Abdulrahman. 2013. Consumer ethnocentrism: A literature review. International Journal of Business and Management Invention 2: 50–54. [Google Scholar]
  3. Aziz, Saira, Waseem Bahadur, Binesh Sarwar, Rukhshanda Farooq, and Munaza Arshad. 2014. Investigating the role of demographic characteristics on consumer ethnocentrism and buying behavior. International Review of Management and Business Research 3: 885–93. [Google Scholar]
  4. Baumeister, Roy F., and Julie Juola Exline. 1999. Virtue, personality, and social relations: Self-control as the moral muscle. Journal of Personality 67: 1165–94. [Google Scholar] [CrossRef]
  5. Belot, Michèle, Syngjoo Choi, Egon Tripodi, Eline van de Broek-Altenburg, Julian C. Jamison, and Nicholas W. Papageorge. 2021. Unequal consequences of COVID 19: Representative evidence from six countries. Review of Economics of the Household 19: 769–83. [Google Scholar] [CrossRef] [PubMed]
  6. Ben Hassen, Tarek, Hamid El Bilali, Mohammad S. Allahyari, Sinisa Berjan, and Oksana Fotina. 2021. Food purchase and eating behavior during the COVID-19 pandemic: A cross-sectional survey of Russian adults. Appetite 165: 105309. [Google Scholar] [CrossRef]
  7. Bianchi, Constanza, and Gary Mortimer. 2015. Drivers of local food consumption: A comparative study. British Food Journal 117: 2282–99. [Google Scholar] [CrossRef] [Green Version]
  8. Boca, Gratiela Dana. 2021. Factors Influencing Consumer Behavior in Sustainable Fruit and Vegetable Consumption in Maramures County, Romania. Sustainability 13: 1812. [Google Scholar] [CrossRef]
  9. Cappelli, Alessio, and Enrico Cini. 2020. Will the COVID-19 pandemic make us reconsider the relevance of short food supply chains and local productions? Trends Food Science Technology 99: 566–67. [Google Scholar] [CrossRef] [PubMed]
  10. Chiou, Jyh-shen. S. 2003. The impact of country of origin on pretrial and posttrial product evaluations: The moderating effect of consumer expertise. Psychology & Marketing 20: 935–54. [Google Scholar]
  11. Chryssochoidis, George, Athanassios Krystallis, and Panagiotis Perreas. 2007. Ethnocentric beliefs and country-of-origin (COO) effect. European Journal of Marketing 41: 1518–44. [Google Scholar] [CrossRef] [Green Version]
  12. Di Renzo, Laura, Paola Gualtieri, Francesca Pivari, Laura Soldati, Alda Attinà, Giulia Cinelli, Claudia Leggeri, Giovanna Caparello, Luigi Barrea, Francesco Scerbo, and et al. 2020a. Eating habits and lifestyle changes during COVID-19 lockdown: An Italian survey. Journal of Translational Medicine 18: 229. [Google Scholar] [CrossRef] [PubMed]
  13. Di Renzo, Laura, Paola Gualtieri, Giulia Cinelli, Giulia Bigioni, Laura Soldati, Alda Attinà, Francesca F. Bianco, Giovanna Caparello, Vanessa Camodeca, Elena Carrano, and et al. 2020b. Psychological Aspects and Eating Habits during COVID-19 Home Confinement: Results of EHLC-COVID-19 Italian Online Survey. Nutrients 12: 2152. [Google Scholar] [CrossRef] [PubMed]
  14. Dimian, Gina Cristina, Simona Andreea Apostu, Maria Denisa Vasilescu, Mirela Ionela Aceleanu, and Josef Jablonsky. 2021. Vulnerability and resilience in health crises. Evidence from european countries. Technological and Economic Development of Economy 27: 783–810. [Google Scholar] [CrossRef]
  15. Dogi, Ilona Csatarine. 2015. Consumer ethnocentrism: A literature review. Lucrări Științifice Management Agricol 17: 84–91. [Google Scholar]
  16. Elovainio, Marko, Christian Hakulinen, Laura Pulkki-Råback, Marianna Virtanen, Kim Josefsson, Markus Jokela, Jussi Vahtera, and Mika Kivimaki. 2017. Contribution of risk factors to excess mortality in isolated and lonely individuals: An analysis of data from the UK Biobank cohort study. Lancet Public Health 2: e260–66. [Google Scholar] [CrossRef] [Green Version]
  17. Farah, Maya F., and Nour I. Mehdi. 2021. Consumer ethnocentrism and consumer animosity: A literature review. Strategic Change 30: 19–28. [Google Scholar] [CrossRef]
  18. Fernández-Ferrín, Pilar, Belén Bande, David Martín-Consuegra, Estrella Díaz, and Elisabeth Kastenholz. 2020. Sub-national consumer ethnocentrism and the importance of the origin of food products: An exploratory analysis. British Food Journal 112: 995–1010. [Google Scholar] [CrossRef]
  19. Fortis, Marco, and Andrea Sartori. 2016. Food & Wine: Quality, Tradition and Innovation. In The Pillars of the Italian Economy: Manufacturing, Food & Wine, Tourism. Cham: Springer International Publishing, pp. S283–S317. [Google Scholar]
  20. Goddard, Ellen. 2020. The impact of COVID-19 on food retail and food service in Canada: Preliminary assessment. Canadian Journal of Agricultural Economics/Revue Canadienne d’agroeconomie 68: 157–61. [Google Scholar] [CrossRef]
  21. Guo, Xiuli, and Yalım Özdinç. 2021. Consumption choice-making among first-generation Chinese immigrants in New Zealand. Kōtuitui: New Zealand Journal of Social Sciences Online 16: 448–57. [Google Scholar]
  22. Hamadani, Jena Derakhshani, Mohammed Imrul Hasan, Andrew J. Baldi, Sheikh Jamal Hossain, Shamima Shiraji, Mohammad Saiful Alam Bhuiyan, Syeda Fardina Mehrin, Jane Fisher, Fahmida Tofail, S. M. Mulk Uddin Tipu, and et al. 2020. Immediate impact of stay-at-home orders to control COVID-19 transmission on socioeconomic conditions, food insecurity, mental health, and intimate partner violence in Bangladeshi women and their families: An interrupted time series. The Lancet Global Health 8: e1380–89. [Google Scholar] [CrossRef]
  23. Hamulka, Jadwiga, Marta Jeruszka-Bielak, Magdalena Górnicka, Malgorzata E. Drywień, and Monica A. Zielinska-Pukos. 2020. Dietary Supplements during COVID-19 Outbreak. Results of Google Trends Analysis Supported by PLifeCOVID-19 Online Studies. Nutrients 13: 54. [Google Scholar] [CrossRef] [PubMed]
  24. He, Jiaxun, and Cheng Lu Wang. 2015. Cultural identity and consumer ethnocentrism impacts on preference and purchase of domestic versus import brands: An empirical study in China. Journal of Business Research 68: 1225–33. [Google Scholar] [CrossRef]
  25. Holmes, Emily A., Rory C. O’Connor, V. Hugh Perry, Irene Tracey, Simon Wessely, Louise Arseneault, Clive Ballard, Helen Christensen, Roxane Cohen Silver, Ian Everall, and et al. 2020. Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. The Lancet Psychiatry 7: 547–60. [Google Scholar] [CrossRef]
  26. Hustvedt, Gwendolyn, Kathryn A. Carroll, and John C. Bernard. 2013. Consumer ethnocentricity and preferences for wool products by country of origin and manufacture. International Journal of Consumer Studies 37: 498–506. [Google Scholar] [CrossRef]
  27. Insch, Gary S., and J. Brad McBride. 2004. The impact of country-of-origin cues on consumer perceptions of product quality: A binational test of the decomposed country-of-origin construct. Journal of Business Research 57: 256–65. [Google Scholar] [CrossRef]
  28. Kaynak, Erdener, and Ali Kara. 1998. Consumer ethnocentrism and lifestyle orientations in an emerging market economy. MIR: Management International Review, 53–72. [Google Scholar]
  29. Kaynak, Erdener, Orsay Kucukemiroglu, and Akmal S. Hyder. 2000. Consumers’ country-of-origin (COO) perceptions of imported products in a homogenous less-developed country. European Journal of Marketing 34: 1221–41. [Google Scholar] [CrossRef]
  30. Khan, Muhammad Mumtaz, Muhammad Tahir Akram, Ronda Janke, Rashad Weseem Khan Qadri, Abdullah Mohammed Al-Sadi, and Aitazaz A. Farooque. 2020. Urban Horticulture for Food Secure Cities through and beyond COVID-19. Sustainability 12: 9592. [Google Scholar] [CrossRef]
  31. Končar, Jelena, Radenko Marić, Goran Vukmirović, and Sonja Vučenović. 2021. Sustainability of Food Placement in Retailing during the COVID-19 Pandemic. Sustainability 13: 5956. [Google Scholar] [CrossRef]
  32. Kottasz, Rita, and Roger Bennett. 2006. Ethnocentric tendencies amongst arts audiences. International Journal of Nonprofit and Voluntary Sector Marketing 11: 303–17. [Google Scholar] [CrossRef]
  33. Leonidou, Leonidas C., John Hadjimarcou, Anna Kaleka, and Gergana T. Stamenova. 1999. Bulgarian consumers’ perceptions of products made in Asia Pacific. International Marketing Review 16: 126–42. [Google Scholar] [CrossRef]
  34. Lewis, Karen E., and Carola Grebitus. 2016. Why U.S. Consumers Support Country of Origin Labeling: Examining the Impact of Ethnocentrism and Food Safety. Journal of International Food & Agribusiness Marketing 28: 254–70. [Google Scholar]
  35. Liu, Fang, Jamie Murphy, Jianyao Li, and Xiangping Liu. 2006. English and Chinese? The role of consumer ethnocentrism and country of origin in Chinese attitudes towards store signs. Australasian Marketing Journal (AMJ) 14: 5–16. [Google Scholar] [CrossRef]
  36. Loades, Maria Elizabeth, Eleanor Chatburn, Nina Higson-Sweeney, Shirley Reynolds, Roz Shafran, Amberly Brigden, Catherine Linney, Megan Niamh McManus, Catherine Borwick, and Esther Crawley. 2020. Rapid Systematic Review: The Impact of Social Isolation and Loneliness on the Mental Health of Children and Adolescents in the Context of COVID-19. Journal of the American Academy of Child and Adolescent Psychiatry 59: 1218–39. [Google Scholar] [CrossRef]
  37. Makanyeza, Charles, and Francois Du Toit. 2017. Consumer ethnocentrism in developing countries: Application of a model in Zimbabwe. Acta Commercii 17: 1–9. [Google Scholar] [CrossRef] [Green Version]
  38. Maksan, Marina Tomić, Damir Kovačić, and Marija Cerjak. 2019. The influence of consumer ethnocentrism on purchase of domestic wine: Application of the extended theory of planned behaviour. Appetite 142: 104393. [Google Scholar] [CrossRef]
  39. Massa, Silvia, and Stefania Testa. 2012. The role of ideology in brand strategy: The case of a food retail company in Italy. International Journal of Retail & Distribution Management 40: 109–27. [Google Scholar]
  40. Mockaitis, Audra I., Laura Salciuviene, and Pervez N. Ghauri. 2013. On what do consumer product preferences depend? Determining domestic versus foreign product preferences in an emerging economy market. Journal of International Consumer Marketing 25: 166–80. [Google Scholar] [CrossRef]
  41. Moser, Riccarda, Roberta Raffaelli, and Dawn D. Thilmany. 2011. Consumer preferences for fruit and vegetables with credence-based attributes: A review. International Food and Agribusiness Management Review 14: 121–42. [Google Scholar]
  42. Mukaetova-Ladinska, E. B., and G. Kronenberg. 2021. Psychological and neuropsychiatric implications of COVID-19. European Archives of Psychiatry and Clinical Neuroscience 271: 235–48. [Google Scholar] [CrossRef]
  43. Nadiri, Halil, and Mustafa Tümer. 2010. Influence of ethnocentrism on consumers’ intention to buy domestically produced goods: An empirical study in North Cyprus. Journal of Business Economics and Management 11: 444–61. [Google Scholar] [CrossRef]
  44. Nijssen, Edwin J., and Susan P. Douglas. 2004. Examining the animosity model in a country with a high level of foreign trade. International Journal of Research in Marketing 21: 23–38. [Google Scholar] [CrossRef]
  45. Nomisma. 2021. Le Previsioni 2021 nel Rapporto Coop: Tendenze e Consumi Degli Italiani per il Nuovo Anno. Available online: https://www.nomisma.it/le-previsioni-2021-nel-rapporto-coop-nomisma/ (accessed on 1 July 2021).
  46. OECD. 2020. COVID-19 and the Food and Agriculture Sector: Issues and Policy Responses. Paris: OECD. [Google Scholar]
  47. Oleniuch, Iwona, and Izabela Cichocka. 2015. Regional Food Products and Region-Wise Consumer Ethnocentrism. Modern Management Review 20: 143–53. [Google Scholar] [CrossRef]
  48. Omar, Nor Asiah, Muhamad Aznir Nazri, Mohd Helmi Ali, and Syed Shah Alam. 2021. The panic buying behavior of consumers during the COVID-19 pandemic: Examining the influences of uncertainty, perceptions of severity, perceptions of scarcity, and anxiety. Journal of Retailing and Consumer Services 62: 102600. [Google Scholar] [CrossRef]
  49. Ortega-Egea, José Manuel, and Nieves García-de-Frutos. 2021. Mapping the influence of country-of-origin knowledge, consumer ethnocentrism, and perceived risk on consumer action against foreign products. Journal of Consumer Behaviour 20: 1164–78. [Google Scholar] [CrossRef]
  50. Orth, Ulrich R., and Zuzana Firbasova. 2003. The role of consumer ethnocentrism in food product evaluation. Agribusiness: An International Journal 19: 137–53. [Google Scholar] [CrossRef]
  51. Pietrabissa, Giada, and Susan G. Simpson. 2020. Psychological consequences of social isolation during COVID-19 outbreak. Frontiers in Psychology 11: 2201. [Google Scholar] [CrossRef] [PubMed]
  52. Power, Madeleine, Bob Doherty, Katie Pybus, and Kate Pickett. 2020. How COVID-19 has exposed inequalities in the UK food system: The case of UK food and poverty. Emerald Open Research 2: 11. [Google Scholar] [CrossRef] [Green Version]
  53. Ricci, Elena Claire, Stefanella Stranieri, Cecilia Casetta, and Claudio Soregaroli. 2019. Consumer preferences for Made in Italy food products: The role of ethnocentrism and product knowledge. AIMS Agriculture and Food 4: 88–110. [Google Scholar] [CrossRef]
  54. Roccella, Michele. 2020. Children and Coronavirus Infection (COVID-19): What to tell children to AvoidPost-traumatic Stress Disorder (PTSD). The Open Pediatric Medicine Journal 10: 1–2. [Google Scholar] [CrossRef] [Green Version]
  55. Sarkis, Joseph. 2020. Supply chain sustainability: Learning from the COVID-19 pandemic. International Journal of Operations & Production Management 41: 63–73. [Google Scholar]
  56. Savarese, Mariarosaria, Greta Castellini, Lorenzo Morelli, and Guendalina Graffigna. 2021. COVID-19 disease and nutritional choices: How will the pandemic reconfigure our food psychology and habits? A case study of the Italian population. Nutrition, Metabolism and Cardiovascular Diseases 31: 399–402. [Google Scholar] [CrossRef] [PubMed]
  57. Schnettler, Berta, Horacio Miranda, Germán Lobos, José Sepulveda, and Marianela Denegri. 2011. A study of the relationship between degree of ethnocentrism and typologies of food purchase in supermarkets in central-southern Chile. Appetite 56: 704–12. [Google Scholar] [CrossRef] [PubMed]
  58. Shankarmahesh, Mahesh N., John B. Ford, and Michael S. LaTour. 2004. Determinants of satisfaction in sales negotiations with foreign buyers: Perceptions of US export executives. International Marketing Review 21: 423–46. [Google Scholar] [CrossRef]
  59. Sharifonnasabi, Zahra, Fleura Bardhi, and Marius K. Luedicke. 2020. How globalization affects consumers: Insights from 30 years of CCT globalization research. Marketing Theory 20: 273–98. [Google Scholar] [CrossRef]
  60. Sharma, Piyush. 2015. Consumer ethnocentrism: Reconceptualization and cross-cultural validation. Journal of International Business Studies 46: 381–89. [Google Scholar] [CrossRef] [Green Version]
  61. Sharma, Subhash, Terence A. Shimp, and Jeongshin Shin. 1995. Consumer ethnocentrism: A test of antecedents and moderators. Journal of the Academy of Marketing Science 23: 26–37. [Google Scholar] [CrossRef]
  62. Shimp, Terence A., and Subhash Sharma. 1987. Consumer ethnocentrism: Construction and validation of the CETSCALE. Journal of Marketing Research 14: 280–89. [Google Scholar] [CrossRef] [Green Version]
  63. Šmaižienė, Ingrida, and Rimgailė Vaitkienė. 2015. Consumer Ethnocentrism and attitudes towards the domestic and foreignmade dietary supplements (the case of Lithuanian market). Economics and Business 26: 88–96. [Google Scholar] [CrossRef] [Green Version]
  64. Stamu-O’Brien, Caroline, Simona Carniciu, Elizabeth Halvorsen, and Mohammad Jafferany. 2020. Psychological aspects of COVID-19. Journal of Cosmetic Dermatology 19: 2169–73. [Google Scholar] [CrossRef] [PubMed]
  65. Sumner, William Graham. 1906. Folkways. New York: Ginn Custom Publishing. [Google Scholar]
  66. Testa, Riccardo, Antonino Galati, Giorgio Schifani, Anna Maria Di Trapani, and Giuseppina Migliore. 2019. Culinary Tourism Experiences in Agri-Tourism Destinations and Sustainable Consumption. Understanding Italian Tourists’ Motivations. Sustainability 11: 4588. [Google Scholar] [CrossRef] [Green Version]
  67. Tuk, Mirjam A., Kuangjie Zhang, and Steven Sweldens. 2015. The propagation of self-control: Self-control in one domain simultaneously improves self-control in other domains. Journal of Experimental Psychology: General 144: 639. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Tuorila, Hely. 1997. Attitudes as determinants of food consumption. In Encyclopedia of Human Biology. California: Academic Press, pp. 559–606. [Google Scholar]
  69. Turecki, Gustavo, David A. Brent, David Gunnell, Rory C. O’Connor, Maria A. Oquendo, Jane Pirkis, and Barbara H. Stanley. 2019. Suicide and suicide risk. Nature Reviews Disease Primers 5: 1–22. [Google Scholar] [CrossRef] [PubMed]
  70. United Nations. 2020. Policy Brief: The Impact of COVID-19 on Food Security and Nutrition. New York: United Nations. [Google Scholar]
  71. Uzdavinyte, Elze, Martin Aubel, and Justina Gineikienė. 2019. It is Domestic, it must Be Healthy: How Health Consciousness and Consumer Ethnocentrism Shape Healthiness Perception and Purchase Intentions of Domestic Food. Organizations and Markets in Emerging Economies 10: 196–211. [Google Scholar] [CrossRef] [Green Version]
  72. Van Loo, Ellen J., Carola Grebitus, and Jutta Roosen. 2019. Explaining attention and choice for origin labeled cheese by means of consumer ethnocentrism. Food Quality and Preference 78: 103716. [Google Scholar] [CrossRef]
  73. Venegas-Vera, A. Verner, Gates B. Colbert, and Edgar V. Lerma. 2020. Positive and negative impact of social media in the COVID-19 era. Reviews in Cardiovascular Medicine 21: 561–64. [Google Scholar] [PubMed]
  74. Vetri, Luigi, Maurizio Elia, Girolamo Aurelio Vitello, Donatella Greco, Catalda Gagliano, Maria Cristina Costanzo, Giusi Romeo, and Sebastiano Antonino Musumeci. 2021. Impact of daytime routine modifications on people with severe intellectual disability amid COVID-19 pandemic. Perspectives in Psychiatric Care 25. [Google Scholar] [CrossRef] [PubMed]
  75. World Health Organization. 2020. WHO Director-General’s Opening Remarks at the Media Briefing on COVID-19–11 March 2020. Berlin: World Health Organization. [Google Scholar]
  76. Zeithaml, Valarie A. 1988. Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing 52: 2–22. [Google Scholar] [CrossRef]
  77. Zeren, Deniz, Ali Kara, and Alejandro Arango Gil. 2020. Consumer ethnocentrism and willingness to buy foreign products in emerging markets: Evidence from Turkey and Colombia. Latin American Business Review 21: 145–72. [Google Scholar] [CrossRef]
  78. Zheng, Lei, Miao Miao, JiYoon Lim, Maorui Li, Shu Nie, and Xiaojun Zhang. 2020. Is lockdown bad for social anxiety in COVID-19 regions? A national study in the SOR perspective. International Journal of Environmental Research and Public Health 17: 4561. [Google Scholar] [CrossRef] [PubMed]
Table
Table 1. Main symptoms of emotional distress during the COVID-19 pandemic.
Table 1. Main symptoms of emotional distress during the COVID-19 pandemic.
Symptoms of Anxiety-Depression Spectrum
Obsessive-compulsive symptoms
Symptoms of post-traumatic stress disorder
Insomnia
Insecurity
Confusion
Emotional isolation
Feeling of guilt of infecting others
Being isolated for fear of the infection
Table
Table 2. Descriptive statistics of the sample (n = 286).
Table 2. Descriptive statistics of the sample (n = 286).
MeanStd. Dev.MinMax
Gender 10.570.4901
Age 241.6613.381976
Level of education 34.441.3116
Monthly income 42.910.8014
1: Dummy variable, 1 = male and 0 = female; 2: continuous variable; 3: categorical variable, 1 = elementary school, 2 = junior high school, 3 = high school, 4 = bachelor’s degree, 5 = master’s degree, 6 = PhD; 4: categorical variable, 1 = very low income, 2= low income; 3 = middle income, 4 = high income.
Table
Table 3. Descriptive statistics of CETSCALE.
Table 3. Descriptive statistics of CETSCALE.
Consumer Ethnocentrism Tendencies ScaleMeanStd. DevMinMax
Buying Italian goods helps me maintain my Italian identity3.161.2915
I believe that purchasing Italian goods should be a moral duty of every Italian citizen3.311.3315
Italian people should always consider Italian workers when making their purchase decisions3.941.1715
Buying foreign products is a threat to the domestic economy 3.181.3215
Increased imports result in greater levels of unemployment in this country3.781.2115
Job losses in this country are the result of increased importation of foreign goods3.241.2515
When it comes to Italian products, I do not need further information to assess their quality, the country of origin is sufficient signal of high quality for me2.621.3115
Table
Table 4. Descriptive statistics of responsible consumer behavior sentences.
Table 4. Descriptive statistics of responsible consumer behavior sentences.
Responsible Consumer BehaviorMeanStd. DevMinMax
Attention to food label3.381.1015
Food safety3.670.9815
Quality-price ratio3.180.9615
Table
Table 5. Results of Logit regression model—Increased consumption of Italian products.
Table 5. Results of Logit regression model—Increased consumption of Italian products.
VariableCoef.Std. Err.zp > |z|
Gender−0.4576620.2769019−1.650.098
Age0.02016460.16656361.120.094
Monthly income0.07486340.32814490.230.820
Education0.09049930.10424660.870.385
Quality-price ratio0.11910980.15134240.790.431
Food safety−0.10491670.1551573−0.680.490
CETSCALE_MEAN0.77045000.17053714.520.000
Attention to food label0.30123790.13580302.220.027
_cons−3.88823101.0029270−3.880.000
Dependent variable: increased purchase of Italian products; limits: lower = 0 and upper = 1; number obs = 286; LR chi2(8) = 44.88; prob > chi2 = 0.0000; pseudo R2 = 0.0116.
Table
Table 6. Results of odds ratio—Increased consumption of Italian products.
Table 6. Results of odds ratio—Increased consumption of Italian products.
VariableOdds RatioStd. Err.zp > |z|
Gender0.63276130.1752128−1.650.098
Age1.0203690.16995641.120.094
Monthly income1.0777370.35365380.230.820
Education1.0947210.1140990.870.385
Quality-price ratio1.1264940.17048630.790.431
Food safety0.90039950.1397036−0.680.490
CETSCALE mean2.1607380.3684864.520.000
Attention to food label1.3515310.18354152.220.027
_cons0.02048150.205415−3.880.000
Dependent variable: increased purchase of Italian products; limits: lower = 0 and upper = 1; number obs = 286; LR chi2(8) = 44.88; prob > chi2 = 0.0000; pseudo R2 = 0.0116.
Table
Table 7. Results of the logit regression codel—Consumer intention to purchase Italian products in the future.
Table 7. Results of the logit regression codel—Consumer intention to purchase Italian products in the future.
VariableCoef.Std. Err.zp > |z|
Gender0.37406230.29048291.290.198
Age−0.10479150.1730264−0.610.545
Monthly income0.14193140.3344044−0.420.671
Education0.04363860.1112234−0.390.695
Quality-price ratio0.62140650.30669612.030.043
Food safety0.1981620.28587630.690.488
Increased consumption of Italian products0.90972790.29603633.070.002
CETSCALE_MEAN0.5479450.16749863.270.001
Attention to food label0.24369950.13410531.820.069
_cons−3.0570320.9249917−3.300.001
Dependent variable: consumer intention to purchase Italian products in the future; limits: lower = 0 and upper = 1; number obs = 286; LR chi2(9) = 61.18; prob > chi2 = 0.0000; pseudo R2 = 0.0159.
Table
Table 8. Results of odds ratio—Consumer intention to purchase Italian products in the future.
Table 8. Results of odds ratio—Consumer intention to purchase Italian products in the future.
VariableOdds RatioStd. Err.zp > |z|
Gender1.4536280.42225411.290.198
Age0.90051230.1558124−0.610.545
Monthly income0.86768080.2901563−0.420.671
Education0.95729990.1064742−0.390.695
Quality-price ratio1.8615440.57092842.030.043
Food safety1.219160.34852890.690.488
Increased consumption of Italian products2.4836470.73524943.070.002
CETSCALE_MEAN1.7296950.28972153.270.001
Attention to food label1.2759610.17111311.820.069
_cons0.04702710.0434997−3.300.001
Dependent variable: consumer intention to purchase Italian products in the future; limits: lower = 0 and upper = 1; number Obs = 286; LR chi2(9) = 61.18; Prob > chi2 = 0.0000; pseudo R2 = 0.0159.
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Migliore, G.; Rizzo, G.; Schifani, G.; Quatrosi, G.; Vetri, L.; Testa, R. Ethnocentrism Effects on Consumers’ Behavior during COVID-19 Pandemic. Economies 2021, 9, 160. https://doi.org/10.3390/economies9040160

AMA Style

Migliore G, Rizzo G, Schifani G, Quatrosi G, Vetri L, Testa R. Ethnocentrism Effects on Consumers’ Behavior during COVID-19 Pandemic. Economies. 2021; 9(4):160. https://doi.org/10.3390/economies9040160

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Migliore, Giuseppina, Giuseppina Rizzo, Giorgio Schifani, Giuseppe Quatrosi, Luigi Vetri, and Riccardo Testa. 2021. "Ethnocentrism Effects on Consumers’ Behavior during COVID-19 Pandemic" Economies 9, no. 4: 160. https://doi.org/10.3390/economies9040160

APA Style

Migliore, G., Rizzo, G., Schifani, G., Quatrosi, G., Vetri, L., & Testa, R. (2021). Ethnocentrism Effects on Consumers’ Behavior during COVID-19 Pandemic. Economies, 9(4), 160. https://doi.org/10.3390/economies9040160

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