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    May trust and solidarity defy food scares? The case of Parmigiano-Reggiano PDO sales in the aftermath of natural disaster

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    Purpose: A major earthquake and aftershocks have hit the North-East part of Italy in May 2012, and caused 26 deaths and diffuse economic damage in the localised agri-food system (LAFS) of Parmigiano-Reggiano protected designation of origin (PDO), including several dairy warehouses. In the broad mobilization to help the stricken people, the LAFS actors played a primary role, giving rise to the sales of “Parmigiano-Reggiano damaged by the earthquake” (PR-T). The purpose of this paper is to investigate the main determinants of PR-T purchasing using the theory of planned behaviour (TPB). Design/methodology/approach: A survey on 200 consumers was performed. Data were collected with face-to-face interviews in stores and markets where the PR-T has been sold, and analyzed by structural equation modelling. Findings: The TPB model predictors accounted for 52 per cent of the variance of intentions to purchase PR-T in the future and 21 per cent of the variance of behaviour. Perceived behavioural control is the main predictor of intention and behaviour, indicating that making easier the access to key resources and increasing people’s capability seems a major aspect to reach the intended goals. Trust in producers and retailers communication, positive image of the PDO label, sense of belonging to the region of origin and socio-demographics, i.e. age and educational levels, are correlated with intention and behaviour. The food scare flare up in the media was not a reason impeding purchasing PR-T. Originality/value: These findings show the solidarity aspects underlying the collective purchases of PR-T in the aftermath of the 2012 earthquake waves, and the importance of increasing people’s capability and trust to reach the goal of facing dreadful food scares effectively

    Eliciting egg consumer preferences for organic labels and omega 3 claims in Italy and Hungary

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    This paper investigates consumers' preferences for egg purchase in two European countries, Hungary and Italy. We utilize random parameter logit models to interpret the results of discrete choice experiments (DCE) for the elicitation of preference of the egg consumers. A sample of 403 in the Hungarian survey and 404 in the Italian survey were recruited in summer 2018. The DCE questionnaire includes the following product and process characteristics: organic labels, nutrition and health claims, and price. Our results show that for Hungarian and Italian consumers, the price is the most important attribute, followed by the nutrition and health claim and the organic production labelling. Three egg consumer segments can be identified via latent class models for each country. In both countries, we found similar consumer groups, the Price Sensitive and Quality Optimizing Opportunist Consumers and Health Conscious Buyers, respectively. Particularly, compared to the other segments the Health Conscious Buyers (46% in Hungary and 49% in Italy) exhibited stronger preference for and are willing to pay a higher price premium for eggs with organic label and nutrition claims. In Italy, we identified a third segment with consumers preferring simpler labelling approach, whilst in Hungary we found a consumer segment distrusting the EU organic logo

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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