Results 181 to 190 of about 8,764 (281)

Vendor Types, Attendance, Experience and Sales 2019–2021: Evidence From Five Rural Oregon Farmers Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT Farmers markets provide a direct‐to‐consumer marketing path for farmers and small businesses, facilitating customer discovery and product refinement. This paper explores farmers markets as a business incubator, with a focus on beginning vendors and resilience to a shock, namely, COVID‐19 market restrictions.
Mallory L. Rahe   +2 more
wiley   +1 more source

Return and Volatility Spillovers Among Major Cotton Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli   +3 more
wiley   +1 more source

Enhancing Sustainability Label Effectiveness Through Logo Design Modification: An Analysis of the EU Green Leaf Logo

open access: yesAgribusiness, EarlyView.
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann   +4 more
wiley   +1 more source

U.S. Consumers Sometimes Prefer Seemingly Redundant Labels

open access: yesAgribusiness, EarlyView.
ABSTRACT More food products are carrying seemingly redundant labels, which are marketing claims or certifications that reiterate product attributes already conveyed. In this paper, we aim to answer two questions on redundant labels. First, do consumers view redundant labels as deceptive or informative? Second, how do redundant labels affect product and
Jackson Lusk   +2 more
wiley   +1 more source

The association of human apolipoprotein ε4 with dementia, cognition, imaging, and plasma biomarkers of neurodegeneration in a sample of older adults in the Democratic Republic of the Congo. [PDF]

open access: yesAlzheimers Dement
Ikanga J   +18 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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