Do geographical appellations provide useful quality signals? The case of Scotch single malt whiskies
Bruno Pecchioli () and
David Moroz ()
Additional contact information
Bruno Pecchioli: ICN Business School, CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine
David Moroz: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Post-Print from HAL
Abstract:
Collective reputation signals, such as geographical appellations or similar labels, aim to provide information concerning the quality of goods supplied by a group of producers and enable differentiation between groups. Several studies have shown that reputation can be disconnected from quality, raising doubts concerning the informational content of specific collective labels. Our study examines Scotch whisky geographical appellations as an unexplored case with collective label requirements that do not permit vertical differentiation. We use a dataset covering 83,494 sales records over nine years in the Scotch whisky second-hand market and run hedonic price analyses, finding evidence of a collective reputation effect, even after controlling for distillery individual reputation and bottle characteristics. These findings suggest that appellations can benefit from a reputation premium, despite low informational content. As a corollary, an appellation system can be profitable for certain producers without providing any helpful quality signals for consumers.
Date: 2023-07
References: Add references at CitEc
Citations:
Published in Economic Modelling, 2023, 124, pp.106331. ⟨10.1016/j.econmod.2023.106331⟩
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04144070
DOI: 10.1016/j.econmod.2023.106331
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().