Wine Economics and Policy 9(1): 31-42, 2020 Firenze University Press www.fupress.com/wepWine Economics and Policy ISSN 2212-9774 (online) | DOI: 10.36253/web-7851 Citation: G. Pappalardo, G. Chin- nici, R. Selvaggi, B. Pecorino (2020) Assessing the Effects of the Environ- ment on Consumers’ Evaluations for Wine. Wine Economics and Policy 9(1): 31-42. doi: 10.36253/web-7851 Copyright: © 2020 G. Pappalardo, G. Chinnici, R. Selvaggi, B. Pecorino. This is an open access, peer-reviewed article published by Firenze University Press (http://www.fupress.com/wep) and distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distri- bution, and reproduction in any medi- um, provided the original author and source are credited. Data Availability Statement: All rel- evant data are within the paper and its Supporting Information files. Competing Interests: The Author(s) declare(s) no conflict of interest. Original Research Article Assessing the Effects of the Environment on Consumers’ Evaluations for Wine Gioacchino Pappalardo, Gaetano Chinnici*, Roberta Selvaggi, Biagio Pecorino Department of Agriculture, Food and Environment (Di3A), University of Catania, Via Santa Sofia 98-100, 95123 Catania, Italy. *Corresponding author E-mail: gioacchino.pappalardo@unict.it, chinnici@unict.it, roberta.selvaggi@unict.it, pecorino@unict.it Abstract. In the wine sector, experiential marketing is becoming increasingly impor- tant since the success of a wine hinges on “experiential” attributes that include hedonic and symbolic values associated with emotions. An aspect not yet fully explored in the scientific literature concerns the extent to which emotions aroused by the environment where wine is consumed are able to influence consumers’ evaluation of wine. To this end, we conducted an economic experiment in Italy in the territory of Mt Etna, Sicily and through a non-hypothetical experimental auction we assessed the effects of 10 emo- tions related to the environment of Mt Etna on consumers’ Willingness to Pay (WTP) for Etna wine. The results of this study show that the values of consumers’ WTP for wine are affected by emotions aroused by the experiential environment of Mt Etna. Keywords: wine, experiential consumption, experimental auction. 1. INTRODUCTION AND PURPOSE OF THE STUDY Recently, companies operating in the agro-food industry have adopted business models related to environmental, economic and social sustainability (Schimmenti et al., 2016; Galati et al., 2019a). The wine industry has imple- mented initiatives aimed at both sustainability and changes in consumer behaviour, as purchasing decisions are increasingly influenced by environ- mental and social aspects, and at identifying web-marketing behavioural models (Galati et al., 2017; Iaia et al., 2017; Capitello et al., 2019). Consumers’ willingness to pay for wine has increased for products that offer greater sus- tainability guarantees (Di Vita et al., 2019; Galati et al., 2019a). Until recently, scientific literature has focused its attention on the main factors influencing the behaviour of wine consumers. Reference literature is quite extensive and has focused on the consumer’s willingness to pay more for wines with particular characteristics of healthiness and environmental sustainability. Consumer interest in both the quality and healthiness of the wines as well as the social and environmental impact of their consumption, has given rise to increased attention to the information displayed on the label 32 G. Pappalardo, G. Chinnici, R. Selvaggi, B. Pecorino as a tool to reduce the risk associated with wine pur- chasing (Galati et al., 2019b). In this context, marketing strategies used in the wine sector by businesses are diversified by selling expe- riences, feelings and values that involve consumers on a personal level (Goode et al, 2010; Santini et al, 2013). From the perspective of ‘experiential marketing’ (Pine and Gilmore, 1999; Schmitt, 2010), these new strate- gies aim to satisfy a new demand from wine consumers towards intangible services related to tradition and the environment where the wine is produced and consumed (Pomarici et al, 2017). In the wine sector, experiential marketing is becoming increasingly important since the success of a wine hinges on ‘experiential’ features that include the hedonistic and symbolic values associated with emotions (Santini et al, 2011; Alebaki et al., 2015). Emotions play an important role in many aspects of food consumption and have been widely analysed in scientific literature (Kotler, 1973; Mehrabian and Russell, 1974). Emotions, broadly defined as a com- plex state of feelings that translate into physical and psychological changes that can influence thinking and behavior (Spinelli, 2017), are important for marketing organizations as they help them understand consumer behaviour and have some control over post-purchase behaviour. In the wine sector, an interesting aspect regards the effects of emotions related to the environ- ment wine is consumed in as evaluated by consumers. These ‘environmental’ emotions are important factors when experiential marketing is put into practice and can be expected to influence consumers’ decision-mak- ing (Platania et al., 2016a). Stimuli from the place of consumption can influence the sensory and psychologi- cal markers associated with wine consumption (Orth and Bourrain, 2005). The characteristics of wine desti- nations also affect consumers’ intentions to revisit wine regions (Bonn et al., 2016). Motivations as a basis for segmenting tourism markets have provided informa- tion on why consumers desire to visit wine destinations and regions (Bruwer et al., 2018). One aspect that has not been fully explored yet in scientific literature concerns the extent to which the emotions aroused by the environment where wine is consumed are able to influence consumers’ evaluation of it. To our knowledge, no study has examined whether the emotional state aroused by the environment con- sumers evaluate food in persists after the consumer has experienced visiting a place capable of arousing such emotions. This is an important topic for both compa- nies and marketers since marketing practices related to the environment can lead to an increase in consumer demand for wine. For this purpose, in this study we assess whether the emotions related to the environment wine is consumed in affects consumers’ WTP for wine. In the wine sector, previous studies have shown that the environment wine consumed in can stimulate behavioural responses among consumers that can lead to wine purchases (Platania et al., 2016a, Sturiale and Scuderi, 2017). Environmental attributes that influence the consumption of wine can be related to the place of consumption (Orth and Bourrain, 2005; Platania et al., 2016b), region of origin (Lange et al., 2002; Alant and Bruwer, 2004; Yuan et al., 2005; Vecchio, 2013) and cul- tural attractions of the production site which are capa- ble of developing emotions in highly motivated con- sumers who come from places far from the production area (Getz and Brown, 2006). Understanding how the environment affects wine evaluation and consumption remains an unresolved issue. Specifically, one interest- ing issue that has not been fully explored yet which we analysed in our study relates to the emotions aroused by attractive environments (Voss et al., 2008; Candi et al., 2013; Creusen et al., 2018) which can enhance the hedonic and symbolic value of a product (Chitturi et al., 2008; Teng et al., 2007; Reimann et al., 2010; Candi et al., 2017). With the purpose of observing whether the emo- tions related to attractive environments affect consum- ers’ wine evaluation, we conducted a non-hypothetical experimental auction in Italy to estimate the experiential effects of the emotions on consumers’ WTP for wine. The experiment involved recruiting people to blindly evaluate three types of wine in conditions of emotions aroused by the environment of Mt. Etna in Sicily, the largest volcano in Europe and one of the most well- known wine areas in Italy. 2. BACKGROUND TO MT ETNA The environment of the volcano can arouse a wide range of emotions in visitors mostly because the semi- lunar like landscape creates attraction mixed with fear. Numerous studies have proven the existence of emo- tions aroused by potentially hostile yet at the same time attractive environments such as volcanoes (Zube et al, 1975; Kaplan, 1987; Purcell et al, 2001; Böhm, 2003; Bird et al. 2011; Ruiz and Hernández, 2014). Etna is Europe’s largest volcano attracting millions of visitors from all over the world every year. Further- more, in June 2013, Etna was inscribed in UNESCO’s World Heritage List. Over the course of centuries, a rich agriculture has developed around the volcano mostly made up of fruit, 33Assessing the Effects of the Environment on Consumers’ Evaluations for Wine olive and vine production. Most of these crops can boast of EU recognition as ‘Protected Designation of Origin’ (PDO). Man’s presence has left a profound imprint on Etna’s agricultural landscape through the building of terracettes, barns, mill, wineries and other architectural structures. As a consequence, Mount Etna is a force of nature potentially capable of augmenting the experiential com- ponent of the environment and context consumers eval- uate food products in and in particular wine. 3. METHODOLOGY 3.1 Experimental design To evaluate the effects of the emotions on consum- ers’ evaluation of wine, we conducted an economic experiment in the Mt. Etna area (Italy). A sample of 140 students participated in a non-hypothetical experimental auction which is a well-established method of assessing the WTP for food products (Lusk and Shogren, 2007; Pappalardo and Lusk, 2016; Wongprawmas et al. 2016; Pappalardo et al. 2017; Pappalardo et al., 2018; Selvaggi et al., 2018a and 20181b). This type of experiment offers the advantage of providing an incentive for participants to truly reveal their preferences. Indeed, an experimen- tal auction simulates a real market where consumers can make the decision to buy or not to buy a product through a real money transaction providing researchers with an accurate estimate of product values (Lusk and Shogren, 2007). Moreover, each participant will be pro- vided with a gadget at the end of the auction protocol. Few studies have used non-hypothetical methods to estimate the effects of intangible factors in consumers’ WTP for wine (Bradley et al., 2015). In this study, we used the random nth price auction method (Shogren et al., 2001; List, 2003) since this method is incentive-com- patible and widely used in many empirical evaluation studies (Huffman et al., 2003; Capra et al., 2010; Chern et al., 2013). Participants do not know the winning posi- tion until all the bids have been submitted, thus remov- ing the competitive biases that might exist in other experimental auction mechanisms, such as the second- price auction (Shogren et al., 2001). The novelty of this paper is combining a non-hypo- thetical evaluation method with an evaluation of emo- tions to identify a consumer’s WTP for wine. In the first step of the study, we recruited people for the experimental auction, and at the same time, people were asked questions on the emotions aroused by Mt Etna. We conducted our experiment in Sicily, Italy, in May 2017. A total of 140 people were recruited from a pool of students attending the 3rd year of the Degree in Food Science and Technology at the University of Cat- ania (Italy). Students were recruited by using a recruit- ment questionnaire in which they declared to be wine consumers and to have the minimum age (18 years old) required by the Italian legislation authorizing the consumption of alcohol (Law 30 March 2001 No. 125 “Framework Law on alcohol and related problems”). In the second step of the study, WTP for wine was elicited through a non-hypothetical nth price auction method. Participants were randomly assigned to two groups: ‘control’ and ‘treated’ (Table 1). Each participant in the control group took part in three treatments called Treatment Control 1 (TC1), Treatment Control 2 (TC2), and Treatment Control 3 (TC3). Similarly, each partici- pant in the treated group took part in three treatments called Treatment Treated 1 (TT1), Treatment Treated 2 (TT2), and Treatment Treated 3 (TT3). The three treat- ments within each group (six treatments in total) were carried out at intervals of one week during May 20171. 1 Unfortunately, it was not possible at the end of the experiment to have equal numbers in the control and treated groups. Of the 140 partici- pants initially recruited and who participated in the first treatment (70 in the treatment TC1 and 70 in the treatment TT1), only 118 (66 in the control group and 52 in the treated group) participated in all three treatments. The study only considered data concerning the participants in all three treatments. Table 1. Experimental treatments. Design Groups Treatment denomination Experiential consumption Location of treatment Wine tasting Rounds in the auction Pre-test Control group TC1 NO Sensory lab Blind 5 Treated group TT1 NO Sensory lab Blind 5 Post-test Control group TC2 NO Sensory lab Blind 5 Treated group TT2 YES Winery Blind 5 Follow-up test Control group TC3 NO Sensory lab Blind 5 Treated group TT3 NO Sensory lab Blind 5 34 G. Pappalardo, G. Chinnici, R. Selvaggi, B. Pecorino The three treatments for the participants in the control group (TC1, TC2, and TC3) were carried out in a sensory lab, while participants in the treated group received the first treatment (TT1) in the sensory lab, the second treatment (TT2) in a winery on Mt. Etna, and the third treatment (TT3) in the same sensory lab. Finally, we implemented a mixed design divided into three phases: ‘pre-test’, ‘post-test’ and ‘follow-up test’ where the repeated criterion within the two groups was the WTP for one 0.75litre bottle of wine. In our experi- ment, the experiential environment was represented by a winery located on Mt. Etna. Participants were informed in advance that they would take part in three treatments as part of an eco- nomic experiment using experimental auctions. Par- ticipants in the control group were informed that they would undergo all three treatments in a sensory lab. Those participants in the treated group were informed that they would undergo the first and third treatments in the sensory lab, while the second treatment would be held at a winery located on Mt. Etna. More specifically, participants in the treated group carried out the second treatment (TT2) in a winery on Etna which produces Etna PDO (Protected Designation of Origin) wine. As soon as the participants arrived at the winery and before the auction started, they were invited to take a guided tour of the winery. The guided tour not only allowed participants to observe the prem- ises of the winery but also to appreciate the architectur- al, and emotional journey catalysed by the majesty and elegance of the winery as well as by the links between it and Mt. Etna. After the 90-minute tour, participants were taken to the elegant premises of the barrel cellar where the experimental auction took place. Participants were also informed that before the experimental auctions both in the sensory lab and in the winery, they would taste three types of red Etna wine. The wines used in our survey were 1) Etna Rosso “Femina” PDO, 2) Etna Rosso “Sensi” PDO, and 3) Etna Rosso “Vulcano” PDO, and they were produced by the winery that students toured. The wines were similar in terms of organoleptic characteristics and production year but were only distinguishable nominally as ‘A’, ‘B’ and ‘C’. We used blind tastings to ensure impartiality and to avoid product-related experiential effects, that is, potential bias effects in participants’ judgments due to product-related attributes. Three types of Etna wine were used to test the consistency of the results across differ- ent types of wine in the region. Participants were not informed that the wines they tasted originated from Mt. Etna. 3.2 List of emotions The survey investigated whether the emotional fac- tors related to Mt Etna affected consumers’ willingness to pay (WTP) for wine. By reviewing past literature (Böhm, 2003; Bird et al. 2011; Ruiz and Hernández, 2014), 10 emotions related to volcano environments were identified (Table 2) and for each emotion the par- ticipants in our survey were asked to classify them on a scale of 1 to 5, where 1 is equivalent to ‘no important’ and 5 ‘very important’. Participants were asked to evaluate their emotional reactions immediately after each treatment to assess WTP. 3.3 Auction procedure In all the treatments, the participants took part in a random nth price auction with five rounds of bidding in each treatment according to the procedure described below. Step 1: Upon arrival at the venue, after signing the consent form, each bidder received an ID and was invit- ed to sit in a specific seat. We then proceeded to blind tasting a 30 ml sample of each of the three wines. Step 2: At the end of the tasting, the coordinator clearly explained in detail the random nth price auction mechanism to participants. Step 3: To ensure participants understood how the auction mechanism worked, we conducted a practice Table 2. List of emotions aroused when visiting or thinking about Mt Etna. Emotions Meaning Tranquil The state of being calm and peaceful without noise, violence, worry, etc. Ecstatic A state of being extremely happy and feeling or showing ecstasy. Inner peace A state of being mentally and spiritually at peace. Being ‘at peace’ is to be healthy and the opposite of being stressed or anxious. Nostalgia The feeling of pleasure and also slight sadness when you think about things that happened in the past. Excited The state of being or feeling very happy and enthusiastic. Frightened The feeling or condition of being afraid. Fascinated A state of being extremely interested by something. Enchanted Being affected by magic or seeming to be affected by magic. Amazed A state of being extremely surprised by something. Surprised The state of being or showing surprise because something has happened that you did not expect. 35Assessing the Effects of the Environment on Consumers’ Evaluations for Wine session with three different 1 kg generic pasta packages. This auction was only a trial session to familiarize the participants with the auction mechanism, and at the end of this, nothing was bought. Since the real auction was for three wines in five bidding rounds, we conducted the trial auction with three different types of pasta and with five bidding rounds. Step 4: After completing the trial auctions, the real wine auction began, and each participant simultaneous- ly submitted bids for each of the three wines. The bids were for a 0.75L bottle of wine ‘A’, ‘B’ or ‘C’. To avoid any issues of bias or affiliation, participants did not receive any kind of feedback between rounds, such as who was the winner or if the winning bid represented the market price (Corrigan et al., 2012). Step 5: At the end of each round, bids were collected and arranged from highest to lowest. Step 6: At the end of the fifth bidding round, one of the three wines was randomly drawn and chosen as the bidding wine. Step 7: The bidding round was randomly drawn, which the price for the bidding wine would be chosen from. Step 8: The random nth price (market price), whose value was between 2 and n, where n was the number of bidders in the auction’s session (ranging in our survey from 7 to 8), was randomly drawn. Step 9: The random nth price was announced; the bidders who submitted a bid higher than the nth price won the auction. Winning bidders paid the nth price to buy the randomly chosen bottle in the randomly chosen round. Step 10: All bidders who had bid a price equal to or lower than the market price did not get anything. Step 11: All participants filled out a follow-up ques- tionnaire containing a series of questions related to emo- tions aroused by Mt. Etna and its demographics. Each participant was given €20.00 at the end of all three treatments for their participation. 4. RESULTS 4.1 Descriptive analysis Summary statistics of the participants are shown in Table 3. The average age of the subjects was 21.71 years in the control group and 22.27 years in the treated group. Most of the subjects were female. The yearly aver- age household income ranged from €20,000 to €29,999. Most of the participants (91%) indicated that they had already been to Mt. Etna. As shown in the t-test p-value column, no significant differences were found between the control and treated groups regarding the variables used in our analysis except for age. Table 4 reports the average bids for the three wines across the treatments. Consumers’ WTP for each wine in the treated group was higher than the WTP in the control group both in the post- and follow-up tests. On average, for wine A, subjects in TT2 were willing to pay €2.98 for this bottle of wine in the experiential environ- ment (winery) while those in TC2 were willing to pay €1.90 in the non-experiential environment (sensory lab). These results signify the effect Mt. Etna has on consum- Table 3. Participants’ socioeconomic characteristics. Variables Categories Control group (66 Units) Treated group (52 Units) p-value Age Years Mean % Mean % 21.71 22.27 0.0868 * Gender - Male 19.7% 24.5% 0.2592 - Female 80.3% 75.5% Income - less than €20,000 37.9% 32.7% 0.2855 - from €20,000 to €29,999 31.8% 26.5% - from €30,000 to €39,999 18.2% 16.3% - from €40,000 to 49,999 4.5% 8.2% - from €50,000 to 59,999 3.0% 8.2% - more than €60,000 4.5% 8.2% Visits to Mt Etna - Yes 90.9% 91.8% 0.7887 - No   9.1%   8.2% 36 G. Pappalardo, G. Chinnici, R. Selvaggi, B. Pecorino ers’ evaluation of wine. Interestingly, WTP in TT3 was higher than WTP in TT1 for all three wines, reflecting the effect of having previously visited the winery. Referring to the emotions aroused by Mt. Etna, the mean values for each emotion at the end of each treat- ment are shown in Table 5 where all the emotions were valued more highly than the mean values on the scale except for ‘Frightened’ and ‘Nostalgia’. 4.2 Effects of the emotions on consumers’ WTP for wine To estimate the effects of the emotions aroused by Mt. Etna on consumers’ WTP for wine, we developed a regression model in which we pooled the data from all six treatments carried out by participants in the control and treated groups. A random effects regression model was then estimated with the time dimension being the total number of rounds performed by each participant in the three treatments, i.e., 15. The regression model is specified as BIDij = α0 + β1 TDum + β2 A2 × TDum + β3 A3 × TDum + β4Tranquil + β5Ecstatic + β6 Inner peace + β7 Nostalgia + β8 Excited + β9 Frightened + β10 Fascinated + β11 Enchanted + β12 Amazed + β13 Surprised + β14 Xj + uj + εij where BIDij is individual i’s WTP for each wine (A, B, or C) in round j in both the control and treated groups; A2 is a binary variable = 1 in treatments TC2 and TT2 and 0 otherwise; similarly, A3 is a binary variable = 1 in treatments TC3 and TT3 and 0 otherwise; TDum is a binary variable = 1 if participants belong to the treat- ed group and 0 otherwise. Consequently, A2 × TDum is an interaction term between A2 and TDum, while A3 × TDum is an interaction term between A3 and TDum. Tranquil, Ecstatic, Inner peace, Nostalgia, Excited, Frightened, Fascinated, Enchanted, Amazed, Surprised are the emotions aroused by Mt Etna as described in Table 2. Xi denotes a vector of control variables that include general sociodemographic factors, Xi is random effects which controls for hidden individual characteris- tics; and εij is the i.i.d. component. Overall, the results of the random effects model (table 6) show that participants WTP for wine is influ- enced by the interactive effect between treatment and membership of the Treated group (A2 × TDum and A3 × TDum), by certain emotions which change depending on the wine and by certain socio-demographics of the participants. In particular, the results show that during the second treatment (TC2 and TT2), the Treated Group participants showed a higher WTP compared to those in the Control Group. Table 4. Mean bids of all five rounds across the treatments. Treatments Wine A Wine B Wine C Mean St. Dev. Mean St. Dev. Mean St. Dev. TC1 (pre-test) 2.02 2.06 2.09 1.48 2.73 2.90 TT1 (pre-test) 1.85 1.54 2.11 2.02 2.00 1.69 TC2 (post-test) 1.90 1.74 1.71 1.54 1.97 1.97 TT2 (post-test) 2.98 1.78 2.70 2.11 2.92 1.76 TC3 (follow-up) 1.80 1.55 1.69 1.09 1.95 1.62 TT3 (follow-up) 2.38 1.50 2.53 1.71 2.85 1.81 Sample size = control group: 66 units; treated group: 52 units. Note: TC1: Treatment Control 1; TC2: Treatment Control 2; TC3: Treatment Control 3; TT1: Treatment Treated 1; TT2: Treatment Treated 2; TT3: Treatment Treated 3. Table 5. Summary statistics of emotions. Emotions Control group Treated group 1st auction Mean 2nd auction Mean 3rd auction Mean 1st auction Mean 2nd auction Mean 3rd auction Mean Tranquil 3.77 3.77 3.70 3.69 3.96 3.81 Ecstatic 3.03 3.27 3.24 3.31 3.54 3.69 Inner peace 4.00 3.89 3.89 3.98 4.02 4.19 Nostalgia 2.14 2.14 2.38 2.23 2.52 2.48 Excited 3.58 3.65 3.68 3.79 3.83 3.88 Frightened 1.83 2.00 1.92 1.87 2.02 1.88 Fascinated 4.14 4.09 3.80 4.33 4.23 4.10 Enchanted 3.94 3.91 3.88 4.10 4.19 4.15 Amazed 3.58 3.73 3.59 3.58 3.71 3.79 Surprised 3.05 3.32 3.32 3.25 3.50 3.65 37Assessing the Effects of the Environment on Consumers’ Evaluations for Wine The same result was observed during the third Treatment (TC3 and TT3). These results would seem to indicate that the experiential effect of visiting the win- ery during Treatment TT2 lasts over time and effects the subsequent treatment. Table 6 also shows the parameters estimated for the emotions which influence WTP the most significant of which vary between wines and the relative coefficients showing both positive and negative signs. The posi- tive parameters indicate there is a positive correlation between emotion and WTP. For example, with wine A, if the value of ‘excited’ increases by one point then WTP increases marginally by €0.22. Or with wine C, if the value of ‘surprised’ increases by one point then WTP increases by €0.24. Instead, some statistically significant emotions have negative coefficients. For example, wine A’s ‘nostalgia’ is negative representing a negative correlation with WTP. In marginal terms, this means that if ‘nostalgia’ increas- es by one point then WTP for wine A drops by €0.11. Negative or positive correlations between emotions and WTP may be linked to the emotions aroused by the experiential environment used in our experiment (win- ery) which might have positively or negatively influenced WTP values. However, it would be better to confirm such conclusions with further research. 5. DISCUSSION Our results confirm those obtained by previous research (Kotler, 1973; Orth and Bourrain, 2005; Alant and Bruwer, 2004; Yuan et al 2005; Getz and Brown, 2006; Galloway et al., 2008; Jang and Namkung, 2009; Muruganantham and Bhakat, 2013; Menini 2017) which are that experiential marketing strategies influence the willingness to pay for wine guaranteeing an increase in profits for wineries. Nevertheless, all the previous research analysed how to identify and measure emotions in the consumption process (Richins, 1997; King and Meiselman, 2010; Ker- goat et al, 2010; Prescott, 2017; Spinelli, 2017), whereas the methodological approach in this study measured the effects of emotions directly aroused by the environment of the consumption on the willingness to pay for wine. In particular, this study observed that the emotions aroused by Mt. Etna and referred to by experiential tech- niques can influence consumers’ WTP. Specifically, these results reflect the relevant role played by environmental features not directly pertaining to the wine products. It seems remarkable that in contrast to previous studies (Creusen et al., 2018), our results suggest that the emo- tions aroused by the environment wine is consumed in, such as a winery recalling a high-value environment like Mt. Etna, significantly affects consumers’ WTP even in Table 6. Random effects regression results. Variables Wine A Wine B Wine C Coefficient p-value Coefficient p-value Coefficient p-value Treated (TDum) -0.355 0.152 -0.048 0.851 -0.891 0.003 *** Interaction (A2 x TDum) 1.316 0.000 *** 1.056 0.000 *** 1.780 0.000 *** Interaction (A3 x TDum) 0.763 0.000 *** 0.902 0.000 *** 1.625 0.000 *** Tranquil -0.052 0.335 -0.021 0.663 0.128 0.046 ** Ecstatic 0.047 0.320 -0.018 0.681 0.020 0.725 Inner peace 0.054 0.423 -0.112 0.074 * 0.055 0.490 Nostalgia -0.111 0.048 ** -0.118 0.024 ** -0.334 0.000 *** Excited 0.222 0.001 *** 0.157 0.011 *** 0.249 0.002 *** Frightened -0.001 0.984 0.027 0.623 0.005 0.938 Fascinated -0.061 0.322 0.099 0.076 ** 0.061 0.393 Enchanted -0.167 0.026 ** -0.189 0.006 *** -0.263 0.003 *** Amazed -0.158 0.016 ** -0.217 0.000 *** -0.170 0.028 ** Surprised 0.159 0.009 *** 0.160 0.005 *** 0.244 0.001 *** Gender -0.958 0.000 *** -0.812 0.004 -0.944 0.003 *** Age 0.090 0.133 0.016 0.800 0.067 0.364 Visits to Mt Etna -0.213 0.673 -0.636 0.234 -0.205 0.739 Income -.0520 0.400 -0.014 0.824 -0.062 0.409 cons 1.531 0.292 3.603 0.018 ** 2.196 0.214 *, ** and *** denote significance at 10%, 5% and 1% levels, respectively. 38 G. Pappalardo, G. Chinnici, R. Selvaggi, B. Pecorino the absence of product-related attributes such as brand or product packaging. On this latter issue, this study highlighted a twofold aspect yet to be explored in current scientific literature. Above all, the emotions explicitly correlated to an envi- ronment with strong cultural and naturalistic ties are able to influence consumers’ WTP for wine. Secondly, the emotions aroused by experiential marketing strate- gies which refer to places with strong cultural and natu- ralistic ties last over time as shown by the WTP values obtained in the follow-up test. In particular, this study has highlighted that certain emotions aroused by Mt. Etna significantly influence consumer WTP to buy wine produced on the volcano. Those experiential marketing strategies, which refer to the Mt. Etna environment, produce an increase in WTP for the wine compared to the WTP of the same wine obtained in a non-experiential context (sensory labora- tory). This is potentially important for those in the wine sector. The experiential marketing strategies, which refer directly to the emotions aroused by places with strong cultural and naturalistic ties, could provide a level of competitivity for wine sector players which others, not having such high levels of cultural and environmental factors, cannot compete with. Moreover, the competitive advantage could be amplified by effects deriving from experiential consumption which lasts over time. 6. CONCLUSION This research focused on assessing the effect of emo- tions directly related with a high-value environment where consumers evaluate and consume wine. In our study, results suggest that emotions aroused by visit- ing a winery recalling the environment of Mt. Etna was positively related with wine evaluation. The results have shown that the values of consumers’ WTP for wine seem to be coherent with the goal of this study regarding the effect of emotions aroused by the experiential environ- ment of Mt Etna on consumers’ WTP for wine. In fact, the WTP in the treated group was higher than that in the control group for all the wines. Moreover, the results of the random effects model showed that participants’ WTP for wine is affected by different emotions aroused by Mt. Etna. The significant emotions varied between wines and the relative coefficients showed both positive and negative signs. The positive coefficients indicate that some emotions aroused by Mt Etna such as ‘excited’ pos- itively affect participants’ WTP for wine, and conversely some emotions such as ‘nostalgia’ or ‘enchanted’ nega- tively correlate with WTP. Our findings suggest that to implement effective experiential marketing practices related to the environ- ment, an important role is played by those ‘emotions’ that influence consumer buying behaviour. This aspect is potentially significant for the players involved in the wine sector such as cellar managers or wine producers since the emotions directly aroused by the environment where wine is consumed can affect consumers’ WTP for wine. Ultimately, from the perspective of ‘experien- tial marketing’, the results generally suggest that emo- tions related to the environment could be a tool that wine producers and marketers could use to differenti- ate their products and increase consumer demand for their products. Results of our survey could have relevant implica- tions for the stakeholders involved in the wine sector. For cellar managers, experiential marketing practices explicitly related to the emotions aroused by high-value environments wine is consumed in could increase con- sumers’ evaluation of the wine products. For wine pro- ducers, environment and related emotions can lead to an increase in wine demand that could enhance winery income. Generally, the results suggest that the environ- ment could be a tool that wine producers and market- ers could use to differentiate their products and increase consumers’ demand for their products. This study recommends that experiential market- ing practices be pursued as a product differentiation tool, especially for wineries and vineyards which are located in areas with high environmental relevance. This strategy can achieve a greater acceptance from consumers and thus a competitive advantage, especial- ly among consumers who are more aware of environ- mental issues. Experiential marketing strategies related to the emotions aroused by the environment wine is consumed in should not be overlooked. Therefore, the industry could exploit more effectively environmental values such as quality labels of the wine produced, com- pared to what has been done so far in order to enhance the organoleptic qualities and designations of the origin of the wine. Nevertheless, it is important to remember the limi- tations to this study. Above all, since this study was only limited to the case of Mt. Etna, it would be necessary for future research to verify such results in other geographi- cal contexts with strong environmental ties. Another limitation was the place of origin of the participants in the sample which was formed only by Sicilian students who are already likely to be familiar with Mt Etna and its geographical characteristics. Moreover, the study should be performed on a much wider sample of partici- pants not just undergraduates. 39Assessing the Effects of the Environment on Consumers’ Evaluations for Wine Nomenclature Symbol Description EU European Union ID Identification PDO Protected Designation of Origin Random nth-price auction Type of experimental auction TC Treatment Control TT Treatment Treated UNESCO United Nations Educational, Scientific and Cultural Organization WTP Willingness To Pay ACKNOWLEDGEMENTS A special thank goes to prof. Rodolfo M. Nayga Jr. for his support in the design of the experiment treat- ments and for the suggestions and support in the data analysis. This research was conducted within the frame- work of the research projects “Agronomic Innovations and Economic Analysis of Biomass Production for Energy and Economic Valuation of Natural Capital” (5A722192115), financially supported by University of Catania (Italy), Project leader: Gioacchino Pappalardo. 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