1,720,960 research outputs found
A Hedonic Analysis of Nutrition and Health Claims on Fruit Beverage Products
No full textThis paper investigates the effects on prices of nutrition and health claims for foodstuffs, in addition to other attributes, using fruit beverages as a case study. The model estimation is based on revealed purchasing behaviour for fruit beverages in the north-east of Italy. Applying an hedonic price model, the price of a product is explained as a function of product attributes. The model estimate identifies the implicit retail-market-level price of specific attributes such as nutrition and health claims, ceteris paribus. Nutrition and health claims significantly affect retail prices.
Our findings suggest that retail price response to nutrition and health claims differs
in relation to other product attributes, showing a strong reduction of price variation
among flavours when such benefits are claimed on the label
Il Mercato dei Prodotti a Base di Melograno presso Erboristerie, Parafarmacie e Farmacie
No full textAnalisi della Sostenibilità Tecnico-Economica della Coltivazione del Melograno in Italia: Prospettive e Sviluppo
No full text
Insights on the alleged imitation of prosecco wine name: The case of the German market
Full text linkProminent on the agenda in recent times has been the question of the widespread use of alleged imitations of Prosecco name on wine bottles sold in Germany. This question has attracted even the interest of Italian producers lately, who denounce the evoking effect of such name imitations of the original PDO wine. This paper examines the impact of some product characteristics and those related to the purchasing place on wine price, applying a hedonic price model to homescan data related to the German market in 2013. Findings suggest that the alleged name
imitation has a premium price, thus getting a free ride on brand reputation at the expense of the original Italian wine
Assessing the risk profile of dairy farms: application of the Income Stabilisation Tool in Italy
No full textPurpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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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