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Oh my darling clementine: heterogeneous preferences for sustainable citrus fruits

Published online by Cambridge University Press:  28 April 2021

Giuseppe Di Vita
Affiliation:
Department of Agricultural, Forest and Food Science (Disafa), University of Turin, Grugliasco, Italy
Riccardo Vecchio
Affiliation:
Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy
Massimiliano Borrello
Affiliation:
Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy
Raffaele Zanchini*
Affiliation:
Department of Agricultural, Forest and Food Science (Disafa), University of Turin, Grugliasco, Italy
Giulia Maesano
Affiliation:
Department of Agriculture, Food and Environment (Di3A), University of Catania, Catania, Italy
Giovanni Gulisano
Affiliation:
Department of Agriculture, Mediterranean University of Reggio Calabria, Reggio Calabria, Italy
Filippo Brun
Affiliation:
Department of Agricultural, Forest and Food Science (Disafa), University of Turin, Grugliasco, Italy
Mario D'Amico
Affiliation:
Department of Agriculture, Food and Environment (Di3A), University of Catania, Catania, Italy
*
Author for correspondence: Raffaele Zanchini, E-mail: raffaele.zanchini@unito.it
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Abstract

The current study assesses consumer preferences toward different production methods of clementines (Citrus clementina). Based on a survey of Italian urban individuals (N = 345), responsible for household food purchases, it investigates whether clementines produced by means of integrated farming system are perceived as a desirable alternative to organic and conventional fruits. A conjoint analysis was applied to estimate the mean relative importance of three different clementine attributes (namely, price, production method and presence of a geographical indication) and consumer utility attached to the different attribute levels. Results revealed price as the most important attribute; while only organic farming provided positive utility to consumers. Subsequently, the sample was clustered into four distinct market segments based on part-worth estimates, offering useful insights for practitioners and policy makers to design tailor-made interventions aimed at fostering sustainable clementines consumption.

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of Renewable Agriculture and Food Systems

Introduction

Achieving sustainability in the global food industry is a burning issue of current production and consumption systems (Aschemann-Witzel et al., Reference Aschemann-Witzel, Maroscheck and Hamm2013). In this regard, and particularly in recent years, consumer preferences have shifted toward more sustainable purchasing choices, with increasing number of individuals including more environmentally-friendly products in their diets (Vermeir et al., Reference Vermeir, Weijters, De Houwer, Geuens, Slabbinck, Spruyt, Van Kerckhove, Van Lippevelde, De Steur and Verbeke2020). This is due to the spreading awareness on the impacts of conventional agricultural practices (Moisander, Reference Moisander2007), as well as to the growing interest for healthiness, nutritional and safety food dimensions (Asioli et al., Reference Asioli, Aschemann-Witzel, Caputo, Vecchio, Annunziata, Næs and Varela2017; Migliore et al., Reference Migliore, Borrello, Lombardi and Schifani2018).

Within this scenario, the uptake of organic products has been observed so far as the main sustainable food consumption option (Asian et al., Reference Asian, Hafezalkotob and John2019). Organic food consumption keeps growing consistently worldwide (Willer and Lernoud, Reference Willer and Lernoud2019); with organic produce counting on a market of 90 billion euros in the world, showing the United States as the top market country (40 billion euros), followed by Germany (10 billion euros), France (7.9 billion euros), China (7.6 billion euros) and Italy (3.1 billion euros). Consumers appreciate organic products and attach to them higher quality and nutritional properties, as well as lower environmental impacts and health risks (Govindan et al., Reference Govindan, Azevedo, Carvalho and Cruz-Machado2014; Mota and Oliveira, Reference Mota and Oliveira2014; Panzone et al., Reference Panzone, Di Vita, Borla and D'Amico2016; Pappalardo et al., Reference Pappalardo, Di Vita, Zanchini, La Via and D'Amico2019; Rizzo et al., Reference Rizzo, Borrello, Dara Guccione, Schifani and Cembalo2020). However, while organic standards generate increased environmental performances, they are still a risk for producers in terms of economic gains, and in many contexts, a trade-off between economic and environmental sustainability is necessary (Freda et al., Reference Freda, Borrello and Cembalo2015; Niggli, Reference Niggli2015; Jeswani et al., Reference Jeswani, Espinoza-Orias, Croker and Azapagic2018). For this reason, integrated farming system (IFS) has been proposed, in the last decades, as an alternative to organic production, able to ensure profitability and lower risks for producers, while maintaining the attributes of increased quality in environmental and health terms (Falcone et al., Reference Falcone, Stillitano, De Luca, Di Vita, Iofrida, Strano, Gulisano, Pecorino and D'Amico2020). In this study, IFS should not be confused with integrated livestock/crop farms. Integrated farming is ‘a science-based, decision-making process that identifies and reduces risks from pests and pest management related strategies, coordinates the use of pest biology, environmental information, and available technology to prevent unacceptable levels of pest damage by the most economical means, while minimizing risk to people, property, resources, and the environment’ (NIFA, 2013). Compared to conventional production, integrated production attempts to move the goal from yield maximization to cost reduction and product quality (Tamis and Van Den Brink, Reference Tamis and Van den Brink1999) by implementing management strategies that limit as much as possible the use of synthetic compounds and the production of hazardous waste. In a nutshell, integrated agriculture reduces the use of chemicals by integrating both organic and conventional farming systems (Reganold et al., Reference Reganold, Glover, Andrews and Hinman2001). Albeit IFS has not gained so far the same traction of organic agriculture and its environmental performances are inherently lower than those of organic productions, in many circumstances, it is the only feasible option for some producers (Reganold et al., Reference Reganold, Glover, Andrews and Hinman2001). Farmers’ implementation of integrated agriculture has been widely investigated in the scholarly literature, identifying various adoption determinants, such as financial aspects (Lavik et al., Reference Lavik, Hardaker, Lien and Berge2020), pesticides knowledge (Bagheri et al., Reference Bagheri, Bondori, Allahyari and Damalas2019), access to highly demanding market segments (Buurma and Van der Velden, Reference Buurma and Van Der Velden2017), perceived complexity (Peshin, Reference Peshin2013) and positive contact with agricultural extension agents (Stallman and James, Reference Stallman and James2015). However, an overarching interpretation of these drivers is hard to reach, due to context-specific issues depending on diverse IFS approaches, crops, agricultural systems and geographical areas (Stallman and James, Reference Stallman and James2015; Midega et al., Reference Midega, Murage, Pittchar and Khan2016; Zhang et al., Reference Zhang, Potts, Breeze and Bailey2018; Sadique Rahman, Reference Sadique Rahman2020), leading for instance to a wider adoption in developed countries compared to developing nations (Alwang et al., Reference Alwang, Norton and Larochelle2019).

While plenty of studies have analyzed consumer aspects related to organic agriculture (Rana and Paul, Reference Rana and Paul2017; Annunziata et al., Reference Annunziata, Mariani and Vecchio2019a; Katt and Meixner, Reference Katt and Meixner2020), only a few studies have addressed consumers’ preferences for fruit and vegetable products produced with integrated management system (Loureiro et al., Reference Loureiro, McCluskey and Mittelhammer2001, Scarpa et al., Reference Scarpa, Philippidis and Spalatro2005), with limited results and often reporting contrasting evidences. For instance, some studies show that consumers who have knowledge of sustainable practices and have made previous purchases of such products are more likely to buy and willing to pay a premium price for fruit and vegetables grown under integrated farming (Govindasamy and Italia, Reference Govindasamy and Italia1998; Cranfield and Magnusson, Reference Cranfield and Magnusson2003), and that willingness to pay for these products is higher than for conventional and organic ones (Yi, Reference Yi2019); while other studies found that having prior familiarity with integrated management system concepts decreases the probability of buying these products (Blend and Van Ravenswaay, Reference Blend and Van Ravenswaay1999), and that there is a strong negative relationship between the intention to buy these products and the concern for the impact of agricultural practices (Stranieri et al., Reference Stranieri, Ricci and Banterle2017).

The current study complements this literature addressing preferences for IFS in Italy, where 17.133 farms (covering 286.255 total ha) devote part of their surface to integrated farming (RRNa, 2020). Citrus fruits—and particularly clementines—were applied as the contextual opportunity for the study. Italy is the second European country in terms of the area dedicated to the production of citrus fruits (Falcone et al., Reference Falcone, Stillitano, De Luca, Di Vita, Iofrida, Strano, Gulisano, Pecorino and D'Amico2020). Particularly, with about 17.9% of the total surface dedicated to citrus cultivation (25,000 ha), about 17.1% of the total citrus production (450,000 tons) and a production growth of 5.9% in the years 2018–2019, clementine (Citrus clementine) is the second most cultivated citrus species in Italy (RRNb, 2020). The great surface dedicated in Italy to citrus fruits (140,000 ha) justifies recent efforts to reduce the environmental impacts of these production by means of alternative production methods such as organic farming and IFS (Nicolò et al., Reference Nicolò, De Salvo, Ramirez-Sanz, Estruch, Sanjuan, Falcone and Strano2018). Consistently, the organic citrus surface in Italy has increased throughout time, reaching in 2018 the 25% of the overall Italian agricultural surface (35,660 ha) (Sinab, 2019).

Despite the expansion in the cultivated areas and the increasing appreciation of these products in the Italian market, only a few studies have addressed consumers’ preferences for fresh citrus fruits (Di Vita et al., Reference Di Vita, Borrello, Vecchio, Gulisano and D'Amico2020).

The current explorative research provides a contribution to sustainable production and consumption of citrus fruits by investigating the potential of clementines produced under integrated agriculture as an alternative to organic and conventional ones, and whether consumers respond positively to this production method. Clementines were chosen for their wide consumption in the Italian fresh fruit market, grown in recent years compared to other citrus fruits (RRNb, 2020). More specifically, this study seeks to answer the following two research questions: (1) Is there among clementine consumers a defined preference hierarchy among IFS, organic and conventional production methods and which of the three production methods is more capable to differentiate clementines on the market? (2) Are there well-established market segments among consumers that could suggest ad hoc promotional strategies?

Answers to these research questions could have important implications for the market valorization of clementines produced with sustainable methods by citrus producers. Particularly, insights will provide practical information on the potential of clementines carrying different quality labels, as well as providing suggestions for targeted interventions aimed at prompting clementines consumption.

Contextualization in sustainable agricultural approaches: three ways to produce clementines

The current study focuses on comparing the following three cultivation methods adopted in clementine production: conventional, organic and integrated farming. These three different farming systems are characterized by specific practices and regulations related to the use of fertilizers, pesticides, fungicides, herbicides and fito-regulators.

It is widely known that different types of sustainable farming methods are proposed as an alternative to countervail the impacts of conventional farming. Conventional farming, also known as industrial agriculture, is characterized by the use of synthetic chemical fertilizers, pesticides, herbicides and other continual inputs, genetically modified organisms (GMOs), concentrated animal feeding operations, heavy irrigation and intensive tillage. Thus, conventional agriculture demands high external inputs in terms of resource and energy, but it is also highly productive. Conventional farming system allows the use of all chemical products authorized by European and national regulations. In particular, the use of fertilizers is regulated in Europe by Council Regulation (EC) no. 2003/2003, while the use of phytoiatric compounds is regulated by Council Regulation (EC) no. 1107/2009.

Due to the environmental impacts of conventional agriculture, there is an ongoing debate among scientists, policy makers and other stakeholders about future agri-food systems at different geographical scales. Providing enough food for the increasing world population, reducing food waste, make diets healthy, preserve natural resources, mitigate and adapt to climate change are not trivial tasks to pursue simultaneously. In this regard, different approaches are proposed by different stakeholder groups. Besides those relying on increased technology adoption, such as precision farming, automatization/mechanization and the use of GMOs—which fall beyond the contents of this work—there is broad consensus on the potential to achieve higher sustainability by means of ‘ecologically based’ farming systems. Considering this approach to its widest declination, the disciplines of agroecology and regenerative agriculture can provide conceptual foundations for ecologically based agricultural solutions. On the one hand, agroecology can be defined as a set of agricultural practices that seek ‘to improve agricultural systems by imitating natural processes, creating beneficial biological interactions and synergies among the components of the agroecosystems, and valorizing ecological processes and ecosystem services’ (Migliorini and Wezel, Reference Migliorini and Wezel2017, p.63). On the other hand, regenerative agriculture suggests the adoption of certain practices (e.g., use of cover crops, the integration of livestock and reducing or eliminating tillage), to achieve certain outcomes (e.g., to improve soil health, to sequester carbon and to increase biodiversity) (Newton et al., Reference Newton, Civita, Frankel-Goldwater, Bartel and Johns2020).

At present and considering market adoption as the benchmark, the most successful implementation of ecological principles in agriculture is organic farming. Giving space not only to a set of suggested practices and scientifically based solutions, but entailing also a philosophical approach to food production often interpreted as a cultural movement (Migliorini and Wezel, Reference Migliorini and Wezel2017), agroecology and regenerative agriculture are disciplines of broad theoretical interest. However, the lack of recognized standards makes them prone to nuanced interpretations and greenwashed commercial activities. Contrariwise, organic farming has clear and rigorous regulations and restrictions and farms lose certification when they violate its standards. Organic farming is ‘a production system that sustains the health of soils, ecosystems, and people. It relies on ecological processes, biodiversity, and cycles adapted to local conditions, limiting the use of inputs with potential adverse effects. Organic agriculture combines tradition, innovation, and science to benefit the shared environment and promote fair relationships and a good quality of life for all involved’ (IFOAM, 2005). Organic production method is aimed to protect a whole agricultural agro-ecosystem, promoting agricultural practices that capitalize on natural soil fertility, environmental biodiversity and limiting or excluding damaging chemical products (Mäder et al., Reference Mäder, Fliessbach, Dubois, Gunst, Fried and Niggli2002). According to Council Regulation (EC) no. 834/2007, it is characterized by the use of organic fertilizers, biological control of pests, low-impact mechanical operations and reduced presence of copper compounds in the soil. Furthermore, a regulation on labeling limits the types of product certifiable as organic. Lastly, national audit bodies monitor for frauds and guarantee compliance with production and labeling rules. The regulative infrastructure and the possibility to provide consumers with reliable certification on the sustainability of production methods are the reasons for the market success of organic food production.

The third production method proposed to consumers in this study is integrated farming. First conceptualized in the ‘50s, adopting ecological practices on conventional farms has a long history and is the object of systematic scholarly research since the ‘80s (e.g., Vereijken, Reference Vereijken1989; El Titi, Reference El Titi1992; Morris and Winter, Reference Morris and Winter1999). Even though there is no agreement on the definition of IFS (El Titi, Reference El Titi1992; Wibberley, Reference Wibberley1995; Morris and Winter, Reference Morris and Winter1999; Randall and James, Reference Randall and James2012), it is not contested that it aims to respond to the negative environmental impacts of farming, while maintaining a focus on the economic viability of the agricultural productions (Cook et al., Reference Cook, Collier, Clarke and Lillywhite2009; EISA, 2012). Integrated farm management is sustained importantly by Linking Environment and Farming (LEAF), a farming organization working mostly in the UK and Africa. According to LEAF (2017), IFS entails the use of modern technologies, traditional methods, and continuous context and farm-specific adaptations. Its potential to provide environmental benefits while preserving farmers’ income has been recognized as a ‘third way’ (Morris and Winter, Reference Morris and Winter1999) or a ‘middle course’ (Wibberley, Reference Wibberley1995) between the extreme constraints of organic farming standards and the increasingly unacceptable pursuit of intensive farming practices. At present, integrated farming is defined as ‘a science-based, decision-making process that identifies and reduces risks from pests and pest management related strategies, coordinates the use of pest biology, environmental information, and available technology to prevent unacceptable levels of pest damage by the most economical means, while minimizing risk to people, property, resources, and the environment’ (NIFA, 2013). IFS adopts techniques that guarantee lower environmental impact through the integration of synthetic chemical substances with natural input; chemical compounds are allowed only in specific formulations and in limited quantities. Furthermore, IFS implies specific tillage recommendations that favor soft operations, low energy consumption and conservative ploughings to promote soil fertility and biodiversity. IFS is regulated at the local level by specific procedural guidelines of regional authorities, which describe the most appropriate cultivation techniques for single species and fix the typology and the quantity of inputs allowed (Di Vita et al., Reference Di Vita, Stillitano, Falcone, de Luca, D'Amico, Strano and Gulisano2018). Integrated farming is disciplined by UNI 11233 scheme, accredited by Accredia in compliance with ISO/IEC17065/2012 standard. Most integrated schemes in Italy are operated at the regional level, in many cases under Regulation 1257/99. Some regions have a regional brand, which requires producers to use integrated production techniques. To illustrate, IFS guidelines for citrus cultivation in the Calabria Region detail the active ingredients allowed for each disease, the period of treatments and the maximum amount allowed. However, different interpretations and regulations entail that the adoption of integrated farming changes significantly from country to country. Furthermore, when IFS is not regulated by case-specific standards, it is prone to be used as ‘greenwashing tool’, thus misleading consumers searching for more sustainable food products.

Methods

Data collection

Trained interviewers administered a questionnaire to a convenience sample of 345 individuals via face-to-face interviews. Data collection was performed outside retail stores of two major northern Italian cities; namely, Turin and Milan. Respondents were recruited after their grocery shopping, during the months of October and November, by random walk recruitment. Screening of respondents was performed to ensure that participants in the survey were responsible for household food expenditures and fruit consumers.

The questionnaire consisted of three separate and consecutive sections. The first section focused on general aspects of clementine consumption, such as purchase frequency and consumption habits, included closed-ended questions both binary (yes/no answer) and multiple answer questions (organized in seven-point anchored scales ranging from 1 = not important to 7 = very important). The second section included questions on socio-demographic characteristics of the sampled consumers such as age, gender, education, household size and monthly income. The third section represented the core of the research, included a conjoint experiment with a full profile conjoint (nine cards).

Socio-demographic characteristics of the sample are shown in Table 1. As for the age group, we adopted the classification proposed by Brosdahl and Carpenter (Reference Brosdahl and Carpenter2011), where ‘Millennials’ generation represents individuals born between 1982 and 2000 (30.4% of the sample), ‘Generation X’ represents respondents born between 1961 and 1981 (45.5%), and ‘over 58’ includes the age cohorts of Baby Boomers and Silent generation, respectively, born between 1943 and 1960 and before 1943 (24.1%). Most respondents (51.6%) belonged to households including more than two individuals and were highly educated (55.9%). In addition, Table 1 shows socio-demographic characteristics of the Italian population provided by the National Institute of Statistics databases (ISTAT, 2021). Concerning Italian household income, the latest updates are not provided through frequency classes but only through the average value which was €31.393 per year. For this reason, the household income was not included in the table.

Table 1. Socio-demographic characteristics of the sample (N = 345)

Data analysis

Data analysis was conducted in two steps. In the first step, a full-profile conjoint analysis was used to obtain the mean relative importance attached to three clementine attributes [price, production method and presence of a certification of protected geographical origin (PGI)]—with respective attribute levels—(Table 2) and the estimated utility for each attribute level. The conjoint analysis is a widespread method in consumer research, often adopted to quantify the utility of consumers for food product attributes (Schnettler et al., Reference Schnettler, Vidal, Silva, Vallejos and Sepúlveda2009; Saba et al., Reference Saba, Vassallo, Shepherd, Lampila, Arvola, Dean, Winkelmann, Claupein and Lähteenmäkicf2010; Di Vita et al., Reference Di Vita, Blanc, Brun, Bracco and D'Amico2019). The three selected attributes were identified as the most relevant in consumer clementines’ choice, based on market data analysis and review of recent scientific literature (Di Vita et al., Reference Di Vita, Borrello, Vecchio, Gulisano and D'Amico2020; RRNb, 2020; Verain et al., Reference Verain, Sijtsema, Taufik, Raaijmakers and Reinders2020). The price levels were chosen according to the average clementine prices observed in different retail stores in Turin and Milan, at the time of the research.

Table 2. Attributes and levels used in the conjoint analysis

To limit the cognitive effort requested to participants, the number of conjoint cards was reduced to nine by means of an orthogonal design; this design allowed also to reduce the collinearity among cards (Annunziata and Vecchio, Reference Annunziata and Vecchio2013; Di Vita et al., Reference Di Vita, Salvo, Bracco, Gulisano and D'Amico2016). The cards generated by the orthogonal design are presented in Table 3. The figure presents an example of the first three profiles (A, B, C) from the conjoint experiment presented during consumer interviews (Fig. 1). Respondents were asked to assume they were buying clementines during an ordinary shopping occasion and to order the cards according to their preferences (from 1 = most preferred to 9 = least preferred). After data gathering, an OLS regression model was applied to obtain utility scores for each attribute levels (Wong et al., Reference Wong, Chan, Da Silva Cardoso, Lam and Miller2004).

Table 3. Cards profile obtained from orthogonal design

Fig. 1. Cards employed during the conjoint experiment (example).

Following conjoint analysis, the sample was clustered based on individuals’ part-worth estimates obtained for any attribute levels using the Ward's method. In fact, respondents are characterized by a typical utility pattern that distinguishes them from each other (Annunziata et al., Reference Annunziata, Pomarici, Vecchio and Mariani2016). This method uses the Euclidean squared distance to measure the distance between objects (Strauss and Von Maltitz, Reference Strauss and von Maltitz2017) and allows to generate clusters by minimizing the sum of the square errors, thus increasing the within-group homogeneity (Shan et al., Reference Shan, De Brún, Henchion, Li, Murrin, Wall and Monahan2017). The appropriate number of clusters has been identified on the basis of the agglomeration schedule and the dendrogram (Garone et al., Reference Garone, Pynoo, Tondeur, Cocquyt, Vanslambrouck, Bruggeman and Struyven2019; Aschemann-Witzel et al., Reference Aschemann-Witzel, de Hooge and Almli2020). Using the agglomeration coefficients, and comparing them with the dendrogram, it was possible to identify the maximum increase in heterogeneity when an additional cluster was created or removed (Yim and Ramdeen, Reference Yim and Ramdeen2015; Islam, Reference Islam2020). The agglomeration program allowed us to identify the four-cluster solution as the most suitable.

Following previous literature (Hailu et al., Reference Hailu, Boecker, Henson and Cranfield2009; Annunziata et al., Reference Annunziata, Pomarici, Vecchio and Mariani2016), we employed one-way analysis of variance (ANOVA) to evaluate whether significant differences among cluster's part-worth utility exist. Moreover, for a deeper understanding of differences among the four clusters, a Bonferroni post hoc test was applied (Shan et al., Reference Shan, De Brún, Henchion, Li, Murrin, Wall and Monahan2017). Bonferroni post hoc test is a multiple comparison analysis that consists of a series of t-tests for each pair of means, which allows to understand which means are significantly different from the others, considering per-comparison error rate as: (α/(1/2))k(k − 1) (Rafter et al., Reference Rafter, Abell and Braselton2002). Finally, a χ2 test was used for frequency analysis, in order to evaluate significant differences among the socio-demographic characteristics of clusters. The χ2 test is widely adopted in conjoint analysis studies (Annunziata et al., Reference Annunziata, Pomarici, Vecchio and Mariani2016; Shan et al., Reference Shan, De Brún, Henchion, Li, Murrin, Wall and Monahan2017); it verifies the null hypothesis of independence among investigated variables, or when is used to compare two or more groups, the similarity in the proportions between groups (Franke et al., Reference Franke, Ho and Christie2012), as in the present research. All analyses were carried out applying IBM SPSS Statistics 25.

Results

Conjoint analysis

The results of the conjoint analysis are shown in Table 4. Price is the most important attribute for consumers, obtaining an importance higher than the production method and the PGI certification. Among price levels, the lowest price level provides the highest positive utility. The second most important attribute is the production method. Among the levels investigated, organic attribute is the only production method that provides positive utility; instead, the IFS and conventional production method show a slightly negative level of utility for consumers. The last attribute in terms of relative importance for respondents is the PGI certification, whose preference provides positive utility.

Table 4. Conjoint results (N = 345)

Cluster analysis

Results of the cluster analysis are shown in Table 5. The analysis identified four clusters on the basis of part-worth utilities for each attribute level. A one-way ANOVA on the attribute levels was performed. The analysis shows significant differences among the clusters for each level considered. Different superscripts reported in Table 5 indicate significant differences between clusters according to Bonferroni post hoc tests (P-value 0.05). Table 6 presents the distribution of consumers and the socio-demographic characteristics for each cluster. The analysis of the differences between the socio-demographics characteristics of the clusters can be assimilated to a frequency analysis, thus the χ2 test was used. In the description of the clusters, only statistically significant socio-demographic variables are reported.

Table 5. Conjoint results based on cluster analysis (N = 345): utility estimate and mean relative importance

***P < 0.01.

Table 6. Clusters socio-demographic characteristics (%)

*P < 0.1; **P < 0.05.

Cluster 1—‘Price sensitive’: The first cluster of consumers (37.7% of the sample) rated the price attribute significantly higher than other attributes, as shown by the mean relative importance of this attribute (66.2%). Among the three different price levels, the lowest level price (€1.2) received the highest importance in term of utility. In fact, according to the Bonferroni post hoc test, this value appears to be significantly higher than the others. With regard to the other price levels, they seem to be held in low esteem by this group of consumers.

In addition, the other attributes such as organic, IFS and PGI positively affect the utility of these consumers. Socio-demographic characteristics show a high frequency of individuals with high education level (College and PhD). Finally, this cluster is characterized by Millennials and reports a low frequency of older generation consumers.

Cluster 2—‘Geographical origin and mild sustainability-concerned’: In the second cluster (30.1% of the sample), consumers rated price as the first preferred attribute, followed by production method and presence of PGI label. Considering the relative average importance of PGI and IFS products, these labels assume a higher value in this cluster compared to the other groups. With regard to the utility provided from attribute levels, PGI is significantly higher than in the other clusters. Conversely, IFS is highest in terms of absolute value, but it is statistically different only from clusters 3 and 4. Among the price levels, the medium level price (€2.4) received the highest utility being significantly different from all the other clusters. With regard to socio-demographic characteristics, generation X and older generations are associated with this group. Lastly, this cluster is characterized by a high frequency of individuals with low education level.

Cluster 3—‘Pro-organic’: Pro-organic consumers (22.9% of the sample) rated production method attributes more important than consumers in the other clusters. In particular, consumers belonging to this cluster attach the highest importance, to the organic method production. In fact, in terms of utility, the value attributed to organic production is significantly higher than that of the other groups. This group is also characterized by the relative moderate importance attributed to the price; whilst the utility attached to the middle price (€2.4) is not statistically different when compared with clusters 1 and 4, significant differences among clusters are observed in the utilities regarding the low and high price ranges. With regard to socio-demographic characteristics, well-educated individuals (education equal to or higher than higher school) have, in this cluster, the highest frequency. At the same time, the category primary school education presents the lowest frequency compared to the other cluster groups. As for age, the group of generation X is quite frequent in this cluster.

Cluster 4—‘Skeptics’: The fourth cluster (9.3% of the sample) associates negative utility to organic, IFS and PGI labels. Taking into account the IFS attribute, the utility revealed by consumers is significantly lower than that of clusters 1 and 2, being fairly similar only to cluster 3. On the contrary, PGI certification has reached the lowest value when compared to the other groups. Among the price levels, products with a high price range are highly appreciated as it is shown in terms of utility. In fact, this is the only cluster that associates positive utility with the high price of the product. With regard to the production methods, particular importance is attached to the conventional one, it obtained the highest value among all the other groups. Participants included in this cluster are likely to be traditional consumers, not interested in more sustainable production methods and who attach product quality to highest price. This cluster is highly characterized by Millennials with a medium level of education.

Discussion

Based on a survey of Italian urban consumers, the study assessed their preferences for clementines (Citrus clementina) in a two-step analysis; main outcomes were presented and discussed.

In the first part, the conjoint experiment allowed to estimate consumer utility attached to the three different clementine attributes. Findings reveal that price is the main determinant of consumer preferences, over production method and PGI. In particular, among price levels, the lower price level provides positive utility and is preferred by consumers. This result is consistent with the research performed on many lowly differentiated agro-food products (Gunden and Thomas, Reference Gunden and Thomas2012). Several authors reveal a crucial role of price attribute in citrus fruit consumer motivations (Poole and Martínez-Carrasco, Reference Poole and Martínez-Carrasco2007; Baldwin et al., Reference Baldwin, Bai, Plotto and Ritenour2014; Ingrassia et al., Reference Ingrassia, Sgroi, Tudisca and Chironi2017). In addition, previous studies have specifically shown that consumers were likely to purchase low-priced satsuma mandarins, revealing a large price-sensitive segment.

Production method was detected as the second most important attribute by consumers. Among the available options, only the organic production method provides positive utility to individuals. On the contrary, the IFS and conventional production method show a slightly negative level of utility, which means that they are not perceived as a desirable alternative to the organic one. It follows that the assumed existence of market potential for clementines produced under integrated agriculture method has been only partially corroborated by current findings. Indeed, the demand for IFS clementine appears more as a niche market than a defined market segment. These latter findings partially support our intuition, namely that a well-established market segment for sustainable clementine is quite defined only for organic production (ensuring a positive utility for respondents). This result is consistent with a previous study on Greek consumers’ awareness toward agro-food products obtained through the integrated management system (Botonaki et al., Reference Botonaki, Polymeros, Tsakiridou and Mattas2006). Similarly, the certified product has been poorly evaluated by consumers due to the limited availability on the market, the inadequate level of information and the low visibility of label (Botonaki et al., Reference Botonaki, Polymeros, Tsakiridou and Mattas2006; Annunziata et al., Reference Annunziata, Agovino and Mariani2019b).

The last attribute in terms of relative importance for respondents is the PGI designation; the presence of such a certification provides positive utility to a limited amount of consumers. This result is not surprising, as previous researches on citrus fruit consumption (Poole and Baron, Reference Poole and Baron1996) have shown that consumers are not strongly affected by EU quality labels, especially for clementines (Ingrassia et al., Reference Ingrassia, Sgroi, Tudisca and Chironi2017). Furthermore, the limited importance attached to PGI-labeled fruit is also highlighted by current statistics, which reveal a diminishing trend in consumption values of PDO and PGI fruits in Italy between 2014 and 2018 (Statista, 2020). In addition, the outcomes confirm that PGI certification plays a marginal role in consumers’ choices since they are more concerned with sustainability attributes (Di Vita et al., Reference Di Vita, Zanchini, Falcone, D'Amico, Brun and Gulisano2021).

Concerning the second step of analysis, a hierarchical cluster analysis allowed to detect four distinct market segments based on part-worth estimates. Even in this case, the price attribute proved to be the most important for three clusters, with a differentiation of the utility assigned to different price levels among the four groups of individuals. Particularly, we observed a dichotomy between ‘price-sensitive’ and ‘skeptic’ consumers, focused on opposite price levels, low and high respectively; revealing price as a top-down attribute. This implies that in the absence of other information, high price is often closely associated with the high-quality dimension of citrus products (Ingrassia et al., Reference Ingrassia, Sgroi, Tudisca and Chironi2017). Conversely, when consumers are not particularly attracted to quality attributes, or whether these latter are not recognized as a source of added value, the lowest price level can be viewed as the most important factor to determine their preferences for clementines, also considering that citrus fruits with low prices are not usually perceived as low-grade quality (Gao et al., Reference Gao, Wong, House and Spreen2014).

As a consequence, the first cluster, ‘price-sensitive’, is characterized by attaching low importance to production method and the PGI designation. Conversely, the second cluster ‘Geographical origin and mild sustainability -concerned‘, give the PGI attribute greater importance than the other groups, and recognize also the relevance of IFS certification, perceiving this method in a middle way between organic and conventional farming. Consumers of this group are the most interesting in integrated production management (IFS) clementine, revealing the existence of a niche market that could develop in the next future, also bearing in mind that individuals included in this cluster prefer medium price range products. This finding is in line with the literature on fresh fruit Italian (Migliore et al., Reference Migliore, Galati, Romeo, Crescimanno and Schifani2015) whereby consumers are willing to pay a moderate additional premium price for fruits and food products with more sustainable characteristics (Boccaletti and Nardella, Reference Boccaletti and Nardella2000; Lanfranchi et al., Reference Lanfranchi, Schimmenti, Campolo and Giannetto2019). The results are also similar to those of Skreli et al. (Reference Skreli, Imami, Chan, Canavari, Zhllima and Pire2017) whereby the price-sensitive cluster showed high utility toward low price products and moderate to low utility toward other attributes such as origin and organic production method.

Concerning the ‘Pro-organic’ segment, our research highlighted that consumers give major importance to the organic attribute and do not positively evaluate the conventional method production. This result does not appear easily comparable with previous literature since the only studies that found a positive correlation between citrus fruit productions and organic method production concerned citrus fruit juices (Knudsen et al., Reference Knudsen, de Almeida, Langer, de Abreu and Halberg2011). In fact, previous studies revealed that organic label did not represent an important driver in citrus consumption (Campbell et al., Reference Campbell, Nelson, Ebel, Dozier, Adrian and Hockema2004). Nevertheless, our survey highlighted that citrus fruit consumers positively perceive organic production method, particularly among individuals with a high level of education. Similar to other research on organic food purchases (Zimmer et al., Reference Zimmer, Stafford and Stafford1994; Singh and Verma, Reference Singh and Verma2017), a high level of education is a crucial determinant of consumers’ attitudes toward the organic label, also due to a higher understanding of ecological issues (Diamantopoulos et al., Reference Diamantopoulos, Schlegelmilch, Sinkovics and Bohlen2003). Indeed, this cluster is in line with the one identified by Sampalean et al. (Reference Sampalean, de-Magistris and Rama2020) where consumers with high education level showed positive attitudes toward organic products (and superior compared to GIs).

As for ‘skeptic’ consumers, they attach greater importance to high prices and conventional production. This combination of preferences might indicate skepticism toward sustainable production techniques, with consumers of this cluster likely to perceive higher prices as the main cue of clementine quality. It is worth noting that the preference for conventional production in this cluster could be caused by intrinsic attributes of clementines: being protected by a thick peel, this fruit is probably always considered by consumers as not hazardous, as the peel protects it by residues of chemical compounds. Consistently, the general perception among consumers of clementines and other citrus fruits is that they are a very healthy food (Di Vita et al., Reference Di Vita, Borrello, Vecchio, Gulisano and D'Amico2020; Iofrida et al., Reference Iofrida, Nicolò, Falcone, Stillitano, Gulisano and Di Vita2019). Taking into consideration other agri-food products, our research is consistent with the cluster identified by Massaglia et al. (Reference Massaglia, Merlino, Borra, Bargetto, Sottile and Peano2019), which revealed how some consumers attached importance to high-quality and high-priced products, while they were not interested in sustainability and origin attributes.

Taking into account the low level of attention of these consumers for certifications, and their high interest toward price; this cluster could represent a very important channel for the sustainable citrus market expansion.

Finally, the relationship between sustainable fruit preferences and socio-demographic characteristics of the sample reveals the presence of two clusters more responsive to sustainable and organic production methods. These groups are prevalently characterized by individuals with an age between 38 and 58 years old and with a higher educational level. These results are consistent with previous studies analyzing the influence of socio-demographic characteristics on consumer behavior for sustainable products (e.g., Vanhonacker et al., Reference Vanhonacker, Van Loo, Gellynck and Verbeke2013; Chen et al., Reference Chen, Gao and McFadden2020; Funk et al., Reference Funk, Sütterlin and Siegrist2020; Lago et al., Reference Lago, Marcon, Ribeiro, de Medeiros, Brião and Antoni2020).

Conclusion

Main outcomes

Based on a survey of household food responsible, preferences for selected clementine attributes were identified together with the main drivers of consumer choice of the product. In addition, conjoint ratings of product's attributes were used to identify, first, the utility attached to the attributes under investigation, and then, market clusters of respondents. This study is also one of the first attempts to identify the role of the IFS production method in consumer choices and to compare it with other production systems such as organic and conventional agriculture.

Findings reveal that price is the most important attribute, while only organic farming provided positive utility to consumers, more than IFS and conventional. In fact, only half of the sample showed a moderately positive propensity to clementines produced by means of integrated pest management.

Focusing on the two research questions, our study found that a quality preference hierarchy among different production methods of clementine exists. In addition, among the attribute levels of production methods; conventional, integrated and organic, the latter represents the best driver of product differentiation. Furthermore, as for the second research question, there is a well-established market segment for organic and conventional clementine, while the intermediate level of sustainability, expressed by IFS, is not clearly recognized by Italian consumers. Nevertheless, some promising under-served spaces in the fresh citrus market for integrated farming productions and new market opportunities can be reasonably expected.

Managerial and policy implications

Current results have important implications for the valorization of clementines for producers and marketers. Findings showed the importance of sustainable consumer preferences and their segmentation for developing tailor-made market strategies.

There also exists a heterogeneous market segment including consumer's categories potentially sustainability-involved, but not well defined. In this market space, attributes with weak elements of differentiation, such as PGI and IFS, should try to gain consumers’ visibility.

The organic label is currently a more effective marketing tool than IFS for producers; nevertheless, IFS can be viewed as a product differentiation strategy for companies that could use this quality signal to develop sustainable productions with fewer normative constraints.

Our insights are also important for policymakers who are interested in incentivizing the use of quality certifications to convey information to consumers. When a certification is well recognized by consumers, it can be used to enhance the value of the product and encourage producers toward the use of more sustainable production methods (Polenzani et al., Reference Polenzani, Riganelli and Marchini2020). The limited interest in IFS products, in fact, may be due to consumers’ lack of knowledge about integrated production. Therefore, from a policy perspective, results also suggest a more in-depth information campaign to address more sustainable citrus fruit choices by increasing familiarity among specific market segments and provide higher visibility of sustainability labels, such as IFS.

Limitations and future research avenues

The present study faces several, important limitations. First, the applied sample is not representative of the national population; it is narrow in terms of sample size and geographical area of respondents (urban Northern Italy). For these reasons, future research could investigate the role of IFS in consumer choices by investigating a national sample and comparing the results obtained in different regions of Italy. Secondly, the attributes investigated in this research are only three and thus further analysis should include a larger variety of clementine characteristics to better depict the full outline of consumer preferences and the hierarchical relationship among attributes and attributes’ levels. Moreover, the survey is prone to hypothetical bias and social desirability, due to the stated preference elicitation method. Finally, consumer interest toward IFS could be analyzed on other agri-food products, such as wine and olive oil.

Notwithstanding these important considerations, the current research is the first to consider IFS in consumer citrus fruits preferences and to highlight the relevance of the organic attribute in choosing these fruits.

Acknowledgements

This research is funded by the Italian Ministry of University and Research (MIUR) within the research project ‘Distretto ad alta tecnologia agroindustrale della Calabria AGRIFOODTECH (PON03PE_00090_2) Modelli sostenibili e nuove tecnologie per la valorizzazione delle olive e dell'olio extravergine di oliva prodotto in Calabria’, coordinated by the Department of Agriculture, Mediterranean University of Reggio Calabria, Italy.

Appendix

Fig. A1. Total area cultivated with clementine and citrus fruit in Italy (hectares).

Source: Ismea on ISTAT data.

Fig. A2. Total production of clementine and citrus in Italy (tons).

Source: Ismea on ISTAT data.

Fig. A3. Certified citrus production with geographical indication (tons).

Source: Ismea on ISTAT data.

References

Alwang, J, Norton, G and Larochelle, C (2019) Obstacles to widespread diffusion of IPM in developing countries: lessons from the field. Journal of Integrated Pest Management 10, 18.CrossRefGoogle Scholar
Annunziata, A and Vecchio, R (2013) Consumer perception of functional foods: a conjoint analysis with probiotics. Food Quality and Preferences 28, 348355.CrossRefGoogle Scholar
Annunziata, A, Pomarici, E, Vecchio, R and Mariani, A (2016) Do consumers want more nutritional and health information on wine labels? Insights from the EU and USA. Nutrients 8, 416.CrossRefGoogle ScholarPubMed
Annunziata, A, Mariani, A and Vecchio, R (2019a) Effectiveness of sustainability labels in guiding food choices: analysis of visibility and understanding among young adults. Sustainable Production and Consumption 17, 108115.CrossRefGoogle Scholar
Annunziata, A, Agovino, M and Mariani, A (2019b) Measuring sustainable food consumption: a case study on organic food. Sustainable Production and Consumption 17, 95107.Google Scholar
Aschemann-Witzel, J, Maroscheck, N and Hamm, U (2013) Are organic consumers preferring or avoiding foods with nutrition and health claims? Food Quality and Preference 30, 6876.CrossRefGoogle Scholar
Aschemann-Witzel, J, de Hooge, IE and Almli, VL (2020) My style, my food, my waste! Consumer food waste-related lifestyle segments. Journal of Retailing and Consumer Service 59, 102353.CrossRefGoogle Scholar
Asian, S, Hafezalkotob, A and John, JJ (2019) Sharing economy in organic food supply chains: a pathway to sustainable development. International Journal of Production Economics 218, 322338.CrossRefGoogle Scholar
Asioli, D, Aschemann-Witzel, J, Caputo, V, Vecchio, R, Annunziata, A, Næs, T and Varela, P (2017) Making sense of the ‘clean label’ trends: a review of consumer food choice behavior and discussion of industry implications. Food Research International 99, 5871.CrossRefGoogle Scholar
Bagheri, A, Bondori, A, Allahyari, MS and Damalas, CA (2019) Modeling farmers’ intention to use pesticides: an expanded version of the theory of planned behavior. Journal of Environmental Management 248, 109291.CrossRefGoogle ScholarPubMed
Baldwin, EA, Bai, J, Plotto, A and Ritenour, MA (2020) Citrus fruit quality assessment; producer and consumer perspectives. Stewart Postharvest Review 10, 17.Google Scholar
Blend, JR and Van Ravenswaay, EO (1999) Measuring consumer demand for ecolabeled apples. American Journal of Agricultural Economics 81, 10721077.CrossRefGoogle Scholar
Boccaletti, S and Nardella, M (2000) Consumer willingness to pay for pesticide-free fresh fruit and vegetables in Italy. The International Food and Agribusiness Management Review 3, 297310.CrossRefGoogle Scholar
Botonaki, A, Polymeros, K, Tsakiridou, E and Mattas, K (2006) The role of food quality certification on consumers’ food choices. British Food Journal 108, 7790.CrossRefGoogle Scholar
Brosdahl, DJ and Carpenter, JM (2011) Shopping orientations of US males: a generational cohort comparison. Journal of Retailing and Consumer Services 18, 548554.CrossRefGoogle Scholar
Buurma, JS and Van Der Velden, NJA (2017) New approach to integrated pest management research with and for horticulture. A vision from and beyond economics. Crop Protection 97, 94100.CrossRefGoogle Scholar
Campbell, BL, Nelson, RG, Ebel, RC, Dozier, WA, Adrian, JL and Hockema, BR (2004) Fruit quality characteristics that affect consumer preferences for satsuma mandarins. HortScience 3, 16641669.CrossRefGoogle Scholar
Chen, X, Gao, Z and McFadden, BR (2020) Reveal preference reversal in consumer preference for sustainable food products. Food Quality and Preference 79, 103754.CrossRefGoogle Scholar
Cook, SK, Collier, RH, Clarke, JH and Lillywhite, R (2009) Contribution of integrated farm management (IFM) to Defra objectives. Aspects of Applied Biology 93, 131138.Google Scholar
Cranfield, JA and Magnusson, E (2003) Canadian consumer's willingness-to-pay for pesticide free food products: an ordered probit analysis. International Food and Agribusiness Management Review 6, 1330.Google Scholar
Diamantopoulos, A, Schlegelmilch, BB, Sinkovics, RR and Bohlen, GM (2003) Can socio-demographics still play a role in profiling green consumers? A review of the evidence and an empirical investigation. Journal of Business Research 56, 465480.CrossRefGoogle Scholar
Di Vita, G, Salvo, GD, Bracco, S, Gulisano, G and D'Amico, M (2016) Future market of pizza: which attributes do they matter? AGRIS On-line Papers in Economics and Informatics 8, 5971.CrossRefGoogle Scholar
Di Vita, G, Stillitano, T, Falcone, G, de Luca, AI, D'Amico, M, Strano, A and Gulisano, G (2018). Can sustainability match quality citrus fruit growing production? An energy and economic balance of agricultural management models for PGI clementine of Calabria. Agronomy Research 16, 19862004.Google Scholar
Di Vita, G, Blanc, S, Brun, F, Bracco, S and D'Amico, M (2019) Quality attributes and harmful components of cured meats: exploring the attitudes of Italian consumers towards healthier cooked ham. Meat Science 155, 815.CrossRefGoogle ScholarPubMed
Di Vita, G, Borrello, M, Vecchio, R, Gulisano, G and D'Amico, M (2020) Purchasing drivers of fresh citrus fruits in urban Italy: is it all about taste? Nutrients 12, 979.CrossRefGoogle ScholarPubMed
Di Vita, G, Zanchini, R, Falcone, G, D'Amico, M, Brun, F and Gulisano, G (2021) Local, organic or protected? Detecting the role of different quality signals among Italian olive oil consumers through a hierarchical cluster analysis. Journal of Cleaner Production 290, 125795.CrossRefGoogle Scholar
EISA (European Initiative for Sustainable Development in Agriculture) (2012) Sustainable agriculture: what is it all about? Available at: http://sustainable-agriculture.org/wp-content/uploads/2012/07/BrochureEISA_ECPA_web.pdf.Google Scholar
El Titi, A (1992) Integrated farming: an ecological farming approach in European agriculture. Outlook on Agriculture 21, 3339.CrossRefGoogle Scholar
Falcone, G, Stillitano, T, De Luca, AI, Di Vita, G, Iofrida, N, Strano, A, Gulisano, G, Pecorino, B and D'Amico, M (2020) Energetic and economic analyses for agricultural management models: the Calabria PGI clementine case study. Energies 13, 1289.CrossRefGoogle Scholar
Franke, TM, Ho, T and Christie, CA (2012) The chi-square test: often used and more often misinterpreted. American Journal of Evaluation 33, 448458.CrossRefGoogle Scholar
Freda, R, Borrello, M and Cembalo, L (2015) Innovation in floriculture when environmental and economics criteria are conflicting. Calitatea 16, 110.Google Scholar
Funk, A, Sütterlin, B and Siegrist, M (2020) Consumer segmentation based on stated environmentally-friendly behavior in the food domain. Sustainable Production and Consumption 25, 173186.CrossRefGoogle Scholar
Gao, Z, Wong, SS, House, LA and Spreen, TH (2014) French consumer perception, preference of, and willingness to pay for fresh fruit based on country of origin. British Food Journal 116, 805820.CrossRefGoogle Scholar
Garone, A, Pynoo, B, Tondeur, J, Cocquyt, C, Vanslambrouck, S, Bruggeman, B and Struyven, K (2019) Clustering university teaching staff through UTAUT: implications for the acceptance of a new learning management system. British Journal of Educational Technology 50, 24662483.CrossRefGoogle Scholar
Govindan, K, Azevedo, SG, Carvalho, H and Cruz-Machado, V (2014) Impact of supply chain management practices on sustainability. Journal of Cleaner Production 85, 212225.CrossRefGoogle Scholar
Govindasamy, R and Italia, J (1998) A willingness-to-purchase comparison of integrated pest management and conventional produce. Agribusiness 14, 403414.3.0.CO;2-7>CrossRefGoogle Scholar
Gunden, C and Thomas, T (2012) Assessing consumer attitudes towards fresh fruit and vegetable attributes. Journal of Food, Agriculture & Environment 10, 8588.Google Scholar
Hailu, G, Boecker, A, Henson, S and Cranfield, J (2009) Consumer valuation of functional foods and nutraceuticals in Canada. A conjoint study using probiotics. Appetite 52, 257265.CrossRefGoogle Scholar
IFOAM (2005) The IFOAM norms for organic production and processing, version 2005.Google Scholar
Ingrassia, M, Sgroi, F, Tudisca, S and Chironi, S (2017) Study of consumer preferences in regard to the blonde orange cv. Washington Navel ‘Arancia Di Ribera PDO’. Journal of Food Products Marketing 23, 799816.CrossRefGoogle Scholar
Iofrida, N, Nicolò, BF, Falcone, G, Stillitano, T, Gulisano, G and Di Vita, G (2019) Are there regional differences in the quality perception of fresh citruses? A preliminary study on Italian consumers. Quality-Access to Success 20, 121125.Google Scholar
Islam, M (2020) Are students really cautious about food waste? Korean students’ perception and understanding of food waste. Foods (Basel, Switzerland) 9, 410.Google ScholarPubMed
ISTAT (2021) I.Stat, Italian Statistics. Available at http://dati.istat.it.Google Scholar
Jeswani, HK, Espinoza-Orias, N, Croker, T and Azapagic, A (2018) Life cycle greenhouse gas emissions from integrated organic farming: a systems approach considering rotation cycles. Sustainable Production and Consumption 13, 6079.CrossRefGoogle Scholar
Katt, F and Meixner, O (2020) A systematic review of drivers influencing consumer willingness to pay for organic food. Trends in Food Science & Technology 100, 374388.CrossRefGoogle Scholar
Knudsen, MT, de Almeida, GF, Langer, V, de Abreu, LS and Halberg, N (2011) Environmental assessment of organic juice imported to Denmark: a case study on oranges (Citrus sinensis) from Brazil. Organic Agriculture 1, 167185.CrossRefGoogle Scholar
Lago, NC, Marcon, A, Ribeiro, JLD, de Medeiros, JF, Brião, VB and Antoni, VL (2020) Determinant attributes and the compensatory judgement rules applied by young consumers to purchase environmentally sustainable food products. Sustainable Production and Consumption 23, 256273.CrossRefGoogle Scholar
Lanfranchi, M, Schimmenti, E, Campolo, MG and Giannetto, C (2019) The willingness to pay of Sicilian consumers for a wine obtained with sustainable production method: an estimate through an ordered probit sample-selection model. Wine Economics and Policy 8, 203215.CrossRefGoogle Scholar
Lavik, MS, Hardaker, JB, Lien, G and Berge, TW (2020) A multi-attribute decision analysis of pest management strategies for Norwegian crop farmers. Agricultural Systems 178, 102741.CrossRefGoogle Scholar
LEAF (2017) Delivering More Sustainable Food and Farming. LEAF’s Global Impacts Report 2017 Available at: https://s3-eu-west-1.amazonaws.com/leaf-website/annual-reports/LEAF_Global_Impacts_Report_2017_FINAL_Low_Resolution.pdf.Google Scholar
Loureiro, ML, McCluskey, JJ and Mittelhammer, RC (2001) Assessing consumer preferences for organic, eco-labeled, and regular apples. Journal of Agricultural and Resource Economics 26, 404416.Google Scholar
Mäder, P, Fliessbach, A, Dubois, D, Gunst, L, Fried, P and Niggli, U (2002) Soil fertility and biodiversity in organic farming. Science (New York, N.Y.) 296, 16941697.CrossRefGoogle ScholarPubMed
Massaglia, S, Merlino, VM, Borra, D, Bargetto, A, Sottile, F and Peano, C (2019) Consumer attitudes and preference exploration towards fresh-cut salads using best–worst scaling and latent class analysis. Foods (Basel, Switzerland) 8, 568.Google ScholarPubMed
Midega, CA, Murage, AW, Pittchar, JO and Khan, ZR (2016) Managing storage pests of maize: farmers’ knowledge, perceptions and practices in western Kenya. Crop Protection 90, 142149.CrossRefGoogle Scholar
Migliore, G, Galati, A, Romeo, P, Crescimanno, M and Schifani, G (2015) Quality attributes of cactus pear fruit and their role in consumer choice. British Food Journal 117, 16371651.CrossRefGoogle Scholar
Migliore, G, Borrello, M, Lombardi, A and Schifani, G (2018) Consumers’ willingness to pay for natural food: evidence from an artefactual field experiment. Agricultural and Food Economics 6, 21.CrossRefGoogle Scholar
Migliorini, P and Wezel, A (2017) Converging and diverging principles and practices of organic agriculture regulations and agroecology. A review. Agronomy for Sustainable Development 37, 63.CrossRefGoogle Scholar
Moisander, J (2007) Motivational complexity of green consumerism. International Journal of Consumer Studies 31, 404409.CrossRefGoogle Scholar
Morris, C and Winter, M (1999) Integrated farming systems: the third way for European agriculture?. Land use policy 16, 193205.CrossRefGoogle Scholar
Mota, R and Oliveira, JF (2014) Combining innovation and sustainability: an educational paradigm for human development on earth. Brazilian Journal of Science and Technology 1, 112.CrossRefGoogle Scholar
Newton, P, Civita, N, Frankel-Goldwater, L, Bartel, K and Johns, C (2020) What is regenerative agriculture? A review of scholar and practitioner definitions based on processes and outcomes. Frontiers in Sustainable Food Systems 4, 194.CrossRefGoogle Scholar
Nicolò, BF, De Salvo, MC, Ramirez-Sanz, C, Estruch, V, Sanjuan, N, Falcone, G and Strano, A (2018) Life cycle assessment applied to different citrus farming systems in Spain and Italy. Agroecology and Sustainable Food Systems 42, 10921105.CrossRefGoogle Scholar
NIFA (2013) National Road Map for Integrated Pest Management. USDA National Institute of Food and Agriculture. Available at: https://nifa.usda.gov/sites/default/files/resources/National%20Road%20Map%20for%20Integrated%20Pest%20Management.pdf.Google Scholar
Niggli, U (2015) Sustainability of organic food production: challenges and innovations. Proceedings of the Nutrition Society 74, 8388.CrossRefGoogle ScholarPubMed
Panzone, L, Di Vita, G, Borla, S and D'Amico, M (2016) When consumers and products come from the same place: preferences and WTP for geographical indication differ across regional identity groups. Journal of International Food & Agribusiness Marketing 28, 286313.CrossRefGoogle Scholar
Pappalardo, G, Di Vita, G, Zanchini, R, La Via, G and D'Amico, M (2019) Do consumers care about antioxidants in wine? The role of naturally resveratrol-enhanced wines in potential health-conscious drinkers’ preferences. British Food Journal 122, 26892705.CrossRefGoogle Scholar
Peshin, R (2013) Farmers’ adoptability of integrated pest management of cotton revealed by a new methodology. Agronomy for Sustainable Development 33, 563572.CrossRefGoogle Scholar
Polenzani, B, Riganelli, C and Marchini, A (2020) Sustainability perception of local extra virgin olive oil and consumers’ attitude: a new Italian perspective. Sustainability 12, 920.CrossRefGoogle Scholar
Poole, N and Baron, L (1996) Consumer awareness of citrus fruit attributes. British Food Journal 98, 2328.CrossRefGoogle Scholar
Poole, ND and Martínez-Carrasco, L (2007) Information and WTP: fruit quality perceptions and consumer satisfaction, paper presented at 103rd EAAE Seminar, ‘Adding Value to the Agro-Food Supply Chain in the Future Euromediterranean Space’. Barcelona, Spain, April 23rd–25th, 2007.Google Scholar
Rafter, JA, Abell, ML and Braselton, JP (2002) Multiple comparison methods for means. Siam Review 44, 259278.CrossRefGoogle Scholar
Rana, J and Paul, J (2017) Consumer behavior and purchase intention for organic food: a review and research agenda. Journal of Retailing and Consumer Services 38, 157165.CrossRefGoogle Scholar
Randall, NP and James, KL (2012) The effectiveness of integrated farm management, organic farming and agri-environment schemes for conserving biodiversity in temperate Europe – a systematic map. Environmental Evidence 1, 121.CrossRefGoogle Scholar
Reganold, JP, Glover, JD, Andrews, PK and Hinman, HR (2001) Sustainability of three apple production systems. Nature 410, 926930.CrossRefGoogle ScholarPubMed
Rizzo, G, Borrello, M, Dara Guccione, G, Schifani, G and Cembalo, L (2020) Organic food consumption: the relevance of the health attribute. Sustainability 12, 595.CrossRefGoogle Scholar
RRNa (2020) Database Rete Rurale Nazionale 2020. Superifici del Sistema di Qualità Nazionale Produzione Integrata (SQNPI). Available at: https://www.reterurale.it/flex/cm/pages/ServeBLOB.php/L/IT/IDPagina/21685.Google Scholar
RRNb (2020) Report Rete Rurale Nazionale 2020 ‘La competitività della filiera agrumicola in Italia.’ Available at: https://www.reterurale.it/flex/cm/pages/ServeBLOB.php/L/IT/IDPagina/21126.Google Scholar
Saba, A, Vassallo, M, Shepherd, R, Lampila, P, Arvola, A, Dean, M, Winkelmann, M, Claupein, E and Lähteenmäkicf, L (2010) Country-wise differences in perception of health-related messages in cereal-based food products. Food Quality and Preference 21, 385393.CrossRefGoogle Scholar
Sadique Rahman, M (2020) Farmers’ perceptions of integrated pest management (IPM) and determinants of adoption in vegetable production in Bangladesh. International Journal of Pest Management, 19.CrossRefGoogle Scholar
Sampalean, NI, de-Magistris, T and Rama, D (2020) Investigating Italian consumer preferences for different characteristics of provolone valpadana using the conjoint analysis approach. Foods (Basel, Switzerland) 9, 1730.Google ScholarPubMed
Scarpa, R, Philippidis, G and Spalatro, F (2005) Product-country images and preference heterogeneity for Mediterranean food products: a discrete choice framework. Agribusiness 21, 329349.CrossRefGoogle Scholar
Schnettler, B, Vidal, R, Silva, R, Vallejos, L and Sepúlveda, N (2009) Consumer willingness to pay for beef meat in a developing country: the effect of information regarding country of origin, price and animal handling prior to slaughter. Food Quality and Preference 20, 156165.CrossRefGoogle Scholar
Shan, LC, De Brún, A, Henchion, M, Li, C, Murrin, C, Wall, PG and Monahan, FJ (2017) Consumer evaluations of processed meat products reformulated to be healthier – a conjoint analysis study. Meat Science 131, 8289.CrossRefGoogle ScholarPubMed
Singh, A and Verma, P (2017) Factors influencing Indian consumers’ actual buying behaviour towards organic food products. Journal of Cleaner Production 167, 473483.CrossRefGoogle Scholar
Skreli, E, Imami, D, Chan, C, Canavari, M, Zhllima, E and Pire, E (2017) Assessing consumer preferences and willingness to pay for organic tomatoes in Albania: a conjoint choice experiment study. Spanish Journal of Agricultural Research 15, e0114.CrossRefGoogle Scholar
Stallman, HR and James, HS Jr (2015) Determinants affecting farmers’ willingness to cooperate to control pests. Ecological Economics 117, 182192.CrossRefGoogle Scholar
Statista (2020) Consumption value of PDO and PGI fruits and vegetables in Italy 2014–2018. Available at: https://www.statista.com/statistics/723018/consumption-value-of-italian-pdo-and-pgi-fruits-and-vegetables-in-italy.Google Scholar
Stranieri, S, Ricci, EC and Banterle, A (2017) Convenience food with environmentally-sustainable attributes: a consumer perspective. Appetite 116, 1120.CrossRefGoogle ScholarPubMed
Strauss, T and von Maltitz, MJ (2017) Generalising ward's method for use with Manhattan distances. PLoS ONE 12, e0168288.CrossRefGoogle ScholarPubMed
Tamis, WLM and Van den Brink, WJ (1999) Conventional, integrated and organic winter wheat production in The Netherlands in the period 1993–1997. Agriculture, Ecosystems & Environment 76, 4759.CrossRefGoogle Scholar
Vanhonacker, F, Van Loo, EJ, Gellynck, X and Verbeke, W (2013) Flemish consumer attitudes towards more sustainable food choices. Appetite 62, 716.CrossRefGoogle ScholarPubMed
Verain, MC, Sijtsema, SJ, Taufik, D, Raaijmakers, I and Reinders, MJ (2020) Motive-based consumer segments and their fruit and vegetable consumption in several contexts. Food Research International 127, 108731.CrossRefGoogle ScholarPubMed
Vereijken, P (1989) From integrated control to integrated farming, an experimental approach. Agriculture, Ecosystems & Environment 26, 3743.CrossRefGoogle Scholar
Vermeir, I, Weijters, B, De Houwer, J, Geuens, M, Slabbinck, H, Spruyt, A, Van Kerckhove, A, Van Lippevelde, W, De Steur, H and Verbeke, W (2020) Environmentally sustainable food consumption: a review and research agenda from a goal-directed perspective. Frontiers in Psychology 11.Google ScholarPubMed
Wibberley, J (1995) Cropping intensity and farming systems: integrity and intensity in international perspective. Journal of the Royal Agricultural Society of England 156, 4355.Google Scholar
Willer, H and Lernoud, J (2019) The world of organic agriculture. Statistics and emerging trends 2019, Research Institute of Organic Agriculture FiBL and IFOAM Organics International.Google Scholar
Wong, DW, Chan, F, Da Silva Cardoso, E, Lam, CS and Miller, SM (2004) Rehabilitation counseling students’ attitudes toward people with disabilities in three social contexts: a conjoint analysis. Rehabilitation Counseling Bulletin 47, 194204.CrossRefGoogle Scholar
Yi, S (2019) Contingent valuation of sustainable integrated agriculture–aquaculture products: the case of rice–fish farming systems in South Korea. Agronomy 9, 601.CrossRefGoogle Scholar
Yim, O and Ramdeen, KT (2015) Hierarchical cluster analysis: comparison of three linkage measures and application to psychological data. The Quantitative Methods for Psychology 11, 821.CrossRefGoogle Scholar
Zhang, H, Potts, SG, Breeze, T and Bailey, A (2018) European farmers’ incentives to promote natural pest control service in arable fields. Land Use Policy 78, 682690.CrossRefGoogle Scholar
Zimmer, MR, Stafford, TF and Stafford, MR (1994) Green issues: dimensions of environmental concern. Journal of Business Research 30, 6374.CrossRefGoogle Scholar
Figure 0

Table 1. Socio-demographic characteristics of the sample (N = 345)

Figure 1

Table 2. Attributes and levels used in the conjoint analysis

Figure 2

Table 3. Cards profile obtained from orthogonal design

Figure 3

Fig. 1. Cards employed during the conjoint experiment (example).

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Table 4. Conjoint results (N = 345)

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Table 5. Conjoint results based on cluster analysis (N = 345): utility estimate and mean relative importance

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Table 6. Clusters socio-demographic characteristics (%)

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Fig. A1. Total area cultivated with clementine and citrus fruit in Italy (hectares).Source: Ismea on ISTAT data.

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Fig. A2. Total production of clementine and citrus in Italy (tons).Source: Ismea on ISTAT data.

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Fig. A3. Certified citrus production with geographical indication (tons).Source: Ismea on ISTAT data.