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This paper bridges the gap between theory and practice in the application of the Income Stabilisation Tool (IST). With an application to the dairy sector, the purpose of this paper is to propose methodology for the quantification of reference income when farm structural change occurs and estimate the role of farm attributes on the probability of income loss, offering an ex ante evaluation of farm resilience to risk.

Based on a balanced Farm Accountancy Network farm-level panel ranging from 2008 to 2014, three hypotheses of reference income calculation are tested to assess whether farms structural changes over the years significantly affect the level of IST indemnification. The role of farm characteristics on the probability of an income reduction is then evaluated by estimating a multinomial logit model.

Results show that farms’ structural changes significantly affect IST indemnities and need to be considered in calculating the reference income. The estimated model suggests that farm characteristics significantly affect the probability of a severe income drop and hence risk resilience. Extensive livestock systems seem to reduce the probability of an income drop, while farms in upland areas managed by young farmers seem to experience increased risk exposure.

The research provides one of the first attempts to define risk profile of dairy farms by modelling the probability of an income reduction on observable attributes. Indeed, among different sectors, dairy farms emerge as the main candidates for the application of the IST.

Consumer likeability and willingness to pay (WTP) for two Italian sparkling wines, (Conegliano Valdobbiadene Prosecco DOCG and Prosecco DOC) are evaluated through a non-hypothetical Becker-DeGroot-Marschak (BDM) auction during a wine-tasting experiment. The purpose of this paper is to estimate individual WTP and relate it to likeability for both wines, with and without supplying additional information on their features.

Data were collected in May–June 2019 from a sample of 99 consumers in Northern Italy. A non-hypothetical BDM auction in a wine-tasting experiment was implemented.

The results show that the additional information plays a significant role in widening the WTP gap between the two geographical indications (GIs), while the blind tasting narrows this gap. The “superiority” of the Conegliano Valdobbiadene Prosecco DOCG is confirmed but relies more on its better reputation than its better taste.

The authors are aware of two main limitations in the study. The first is the territorial composition of the consumer sample. The second is the selection of the Prosecco bottles used in the experiment. The results are considered pioneering and need to be verified by additional experiments with different consumer and bottle samples.

Promotional suggestions for the Tutelary Consortia of the two GIs stem from the results. The Prosecco DOC should primarily stress its likeability, while the Conegliano Valdobbiadene Prosecco DOCG should primarily emphasise the reasons for its “superiority”.

To the best of the authors' knowledge, no previous study has related likeability and WTP for similar GI wines produced in contiguous areas. Moreover, the current research has applied a non-hypothetical BDM auction in a wine-tasting experiment.

Under investigation is Prosecco wine, a sparkling white wine from North‐East Italy. Information collection on consumer perceptions is particularly relevant when developing market strategies for wine, especially so when local production and certification of origin play an important role in the wine market of a given district, as in the case at hand. Investigating and characterizing the structure of preference heterogeneity become crucial steps in every successful marketing strategy. The purpose of this paper is to investigate the sources of systematic differences in consumer preferences.

The paper explores the effect of inclusion of answers to attitudinal questions in a latent class regression model of stated willingness to pay (WTP) for this specialty wine. These additional variables were included in the membership equations to investigate whether they could be of help in the identification of latent classes. The individual specific WTPs from the sampled respondents were then derived from the best fitting model and examined for consistency.

The use of answers to attitudinal question in the latent class regression model is found to improve model fit, thereby helping in the identification of latent classes. The best performing model obtained makes use of both attitudinal scores and socio‐economic covariates identifying five latent classes. A reasonable pattern of differences in WTP for Prosecco between CDO and TGI types were derived from this model.

The approach appears informative and promising: attitudes emerge as important ancillary indicators of taste differences for specialty wines. This might be of interest per se and of practical use in market segmentation. If future research shows that these variables can be of use in other contexts, it is quite possible that more attitudinal questions will be routinely incorporated in structural latent class hedonic models.

This research aims to explore whether quality signals, such as grape variety names explicitly used by “quality wines produced in specified regions”, affect wine retail prices in different ways in large‐scale retail and specialised shops.

Tocai wine, which is produced in Northeastern Italian regions and is involved in a dispute with the Hungarian geographical indication Tokaj, is taken as a case study. A hedonic price model has been estimated based on retail prices observed in local markets.

The research shows that consumers buying at large‐scale retailers are willing to pay a higher price premium for quality signals than those buying in specialised shops, ceteris paribus. For the latter, willingness to pay for quality signals is reduced by the information provided by the specialised shop retailer, which decreases the customer's uncertainty about wine quality; quality signals appearing on wine labels generally have a more relevant positive effect on wine price than brand reputation, confirming the findings available in the current literature.

This paper contributes to the literature by proving, in a real market situation, that consumers are willing to pay a higher price premium for quality signals when information is supplied only by wine labels, as in a large‐scale retail environment, than when it is provided by the assistance of a knowledgeable seller, as in specialised shops. The paper confirms that the information transmitted to the consumer during purchase affects price in a way similar to that reported in the literature for simulated markets in the case of expert consumers.

The European Union (EU) has strongly rearranged the management of EU wine policy by introducing actions for promoting wine in third countries. The purpose of this paper is to evaluate factors affecting the knowledge of Italian wines in foreign consumers, i.e., to what extend wine promotion actions can improve the consumer’s awareness or the reputation of Italian wines. As a consequence, these activities may increase the wine consumption as well as wine exports in emerging markets.

Data have been collected through survey questionnaires where information about wine tasting, sensory satisfaction and preferences about Italian wines have been collected. The sample survey collects preferences of wine market operators in both EU and third countries. The survey, carried out from 2009 to 2011, includes 3,579 interviews classified according to four promotion actions: press conference, wine tasting, tasting course, knowledge of Italian wines. Data have been analyzed through a nonparametric combination (NPC) of dependent permutation tests to evaluate differences between and within country groups and to assess the consumer perception about Italian wines through the Keller’s model.

So far, Italian wine promotion activities, supported by EU wine policy, are fragmented among in many small and sometimes low effective actions. Research results may be helpful in designing more effective promotional strategies on third countries. In particular, promotional activities which should be focussed on consumer’s appreciation of Italian wines as a brand instead of promoting specific wines or wineries.

The NPC method is a nonparametric tool which does not measure the structure of consumer’s preferences, i.e, it does give any measure of relationships among consumer’s utility and factors affecting it as it happens when a modeling approach is applied.

Targeted promotion and information actions strongly focussed internal and external wine attributes can increase the level of knowledge in foreign consumers. It can make more efficient the marketing activity oriented to the export market.

The NPC method offers an innovative, flexible and well-tested approach for the analysis of multivariate hypothesis when we are dealing with complex problems in wine market.

The purpose of this paper is to detect market segments where consumers have a different knowledge of domestic and imported Parmesan cheese in USA and Canada. The results may be helpful in understanding to what extend North America consumers appreciate Parmesan cheese and brands, Parmesan consumption and price while recognizing market segments according to consumer awareness, involvement and covariate effects.

A class of mixture models, known as combination uniform binomial (CUB), is applied to survey data collected in USA and Canada. A questionnaire, filled out by 540 restaurant customers, collects opinions about consumption, purchase features and price. The CUB model estimates the two latent variables, known as feeling and uncertainty, explaining the respondent’s behavior as awareness and involvement variability while the CUB clustering procedure detects market segments.

CUB results show that the Parmesan is a well-known cheese but also that a small share of consumers look for the place of origin. The model detects market segments where consumers express better awareness on taste, price and origin while the knowledge of imported Parmesan brands is lacking. Most of consumers, not paying attention to the origin, would hardly switch to the imported Parmesan because of higher price or because they are already satisfied of the domestic cheese.

The results suffer some restrictions in the sample representativeness. A further analysis, where the survey is done at retail and advances in CUB models, may improve the market segmentation procedure allowing a better generalization of results.

The survey results highlights the appreciation and consumption of Parmesan cheese, especially for its taste, as well as a low perception of Italian brands. Consequently, trade companies should focussed their communication strategy on activities encouraging North American consumers to taste Italian Parmesan brands (e.g. tasting sessions, price promotions) instead of costly and less effective advertising campaigns.

Parmesan brand misunderstandings are often associated with market information asymmetry. The paper results show a market segmentation where purchases are mainly driven by Parmesan taste regardless of domestic or imported brands. Likely, the consumption of domestic Parmesan is well consolidated and it is not a consequence of brand information asymmetry.

The CUB model is an innovative and flexible no parametric approach for evaluating consumer behavior and for segmenting the market while dealing with complex problems of food knowledge.

Given the growing supply of wines and the large number of new consumers with purchasing power but lacking knowledge of the subtleties of high-quality wines, expert opinions are used for consumers as proxies for quality. This study aims to determine the determinants of prices in top-quality wine market. The authors also seek to estimate the role for country of origin, grape, producing region and winery in prices. And, finally, the authors try to show how countries, regions and wineries can help increase their position in international rankings.

The authors try to answer: What factors explain the price of top-quality wines (defined as best rated in a standardized ranking)? To some extent, in the hands of producers influence prices, which imply long-term decisions or large investments in land and marketing. Other variables that consumer value does affect prices. The authors try also to detect undervalued or overvalued wines, grapes, regions, wineries or producer countries. The authors estimate an econometric model of hedonic prices using a 14-year sample of the Wine Spectator’s 100 top-rated wines for the American market between 2003 and 2016, totaling 1,400 observations. The sample is a great cross-section because each wine is unique.

The authors’ contribution is twofold: the determination of the price explanatory values and the identification and attribution of price differences by country, grape, region and winery. Also, the authors detected grapes, countries, regions and wineries which are overvalued or undervalued with respect to the average prediction of the model.

The findings are useful to understand the role of price explanatory variables, as well as for making policy and managerial decisions. From the model, collective or managerial actions can be derived to increase particular wines’ positions in international rankings. The proxy for “quality” in the study is not the only possible definition.

In some cases, managerial choices could be conditioned by the policies or history. There is some room for collective action and public policies to improve regions’ and countries’ reputation.

There are clear synergies for policies that can raise the prestige of countries and regions and their spillovers on the brand name reputation of individual wineries.

The results, policy and managerial implications are of interest for business, countries interested in improving their position in international rankings and for consumers to make more informed decisions.

The purpose of this paper is to focus on the analysis of an understudied problem in the economic literature. It proposes a valuation methodology for inputs that come from biodiversity-rich ecosystems/habitats and are used in agro-food production at zero input cost because there is not a market for such inputs.

Following Onofri et al. (2017), the authors computed the value of the marginal productivity of different inputs in three selected case studies (Angola, Mozambique and Brazil). Results are theory based and rigorous but show a strong contingency, case based, relative dimension that is captured, in the framework, by the “relativity ratio.” The ratio expresses the relative weight of the value generated by the input that comes from biodiversity-rich ecosystems/habitats in the per capita monthly available income of the farmer and aims at conveying additional insights to the economic valuation.

In this paper, the assessment of agricultural inputs value (price) in the absence of inputs markets is done, with an application to three different case studies. The inputs are peculiar since they come from habitats and ecosystems that are very biodiversity-rich.

The paper proposes a practical, though rigorous, methodology for the assessment of the value (price) of agricultural inputs in absence of inputs markets. Markets do not exist since the inputs come from biodiversity-rich habitats and ecosystems.