Results 211 to 220 of about 48,179 (310)

Price Premiums for Single‐Name and Compound‐Name Geographical Indications in Swiss Cheese Trade

open access: yesAgribusiness, EarlyView.
ABSTRACT Geographical indications (GIs) have become increasingly important in agri‐food markets, especially in Europe. For Swiss cheese imports and exports, we analyze whether GIs are associated with higher trade prices. We find that price premiums can be obtained for both exports and imports. However, this is only the case for cheeses with single name
Judith Irek
wiley   +1 more source

SEVENTEENTH REPORT ON THE TRIAL OF NEW VARIETIES OF HOPS [PDF]

open access: yesJournal of the Institute of Brewing, 1934
openaire   +1 more source

Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language

open access: yesAgribusiness, EarlyView.
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak   +2 more
wiley   +1 more source

Cost Pass‐Through in Crisis: Evidence From the German Malt‐Beer Supply Chain

open access: yesAgribusiness, EarlyView.
Abstract Global agri‐food supply chains are increasingly exposed to geopolitical shocks, climate volatility, and market consolidation, factors that disrupt traditional price relationships and reshape market power dynamics. Nowhere is this more visible than in the brewing sector, where agricultural raw materials meet complex industrial processing and ...
Nikolas Bublik, Lukáš Čechura
wiley   +1 more source

Evolutionary History and Rhizosphere Microbial Community Composition in Domesticated Hops (Humulus lupulus L.). [PDF]

open access: yesMol Ecol
McElwee-Adame A   +17 more
europepmc   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

open access: yesAdvanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob   +2 more
wiley   +1 more source

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