Results 181 to 190 of about 6,072 (305)

Does a Specialized Niche Market Vegetable Processor Enjoy Bargaining Power?

open access: yesAgribusiness, EarlyView.
ABSTRACT Agribusiness companies may achieve competitive advantage through specialization within niche markets. One such niche is the fresh‐cut fruit and vegetable market, which has been steadily growing in Germany. This study examines whether the specialization of a German fresh‐cut producer grants it with market power within this niche market.
Nikolas Bublik   +3 more
wiley   +1 more source

The Power of Unity: Collective Action and Smallholder Agricultural Performance in West Africa

open access: yesAgribusiness, EarlyView.
ABSTRACT We analyze the impact of collective action through farmer‐based organizations (FBOs) on smallholders' farm performance and income inequality in Ghana, Benin, The Gambia, and Mali. We find that FBO membership increases cereal yield in Ghana and The Gambia, legume yield in Mali, ruminant numbers in Benin and The Gambia, and total farm income in ...
Emmanuel Donkor   +3 more
wiley   +1 more source

Weak generalized inverses and minimum variance linear unbiased estimation

open access: yesJournal of Research of the National Bureau of Standards Section B Mathematics and Mathematical Physics, 1964
Goldman, A. J., Zelen, M.
openaire   +2 more sources

The Role of Certifications in Improving Household Food Security Among Peruvian Farmers

open access: yesAgribusiness, EarlyView.
ABSTRACT Achieving global food security requires sustainable transformations in agri‐food systems. Voluntary Sustainability Standards (VSS) such as Organic and Fairtrade aim to internalize certain social and environmental costs while promoting more equitable value distribution, improved market access, and sustainable production practices.
Lisa‐Marie Schulte, Awudu Abdulai
wiley   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar   +3 more
wiley   +1 more source

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