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James A. Sterns

Researcher at University of Florida

Publications -  48
Citations -  496

James A. Sterns is an academic researcher from University of Florida. The author has contributed to research in topics: Agribusiness & Orange juice. The author has an hindex of 10, co-authored 48 publications receiving 479 citations. Previous affiliations of James A. Sterns include Oregon State University & Michigan State University.

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Using case studies as an approach for conducting agribusiness research

TL;DR: Case study research is increasingly important in agricultural economics as a means of collecting data, and building and testing theory as discussed by the authors, and it has a prescribed set of objectives, espitemology, methodology, and methods that have been developed and tested in a wide range of scholarly and problem-solving situations.
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Estimating Consumers' Willingness-To-Pay for Country-Of-Origin Labels in Fresh Apples and Tomatoes: A Double-Hurdle Probit Analysis of American Data Using Factor Scores

TL;DR: In this article, the average willingness to pay (WTP) for country of origin labeling (COOL) “Grown in the U.S.” in apples and tomatoes is calculated then tested for equivalence to assess if WTP is produce specific.
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Direct-to-Consumer Sales of Farm Products: Producers and Supply Chains in the Southeast

TL;DR: In this article, a case study of a marketing association in the panhandle of Florida is presented. But the authors focus on the role of the supply chain for direct sales in explaining farm returns, and do not address the question of how successful southeastern farms engaged in direct sales to consumers differ from other farms.
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Do US consumers' perceive local and organic food differently? An analysis based on means-end chain analysis and word association.

TL;DR: This article explored the perception of US consumers towards local and organic food, using results from two different studies using laddering techniques and word association tests, which were undertaken at Cornell University in New York State and at the University of Florida in the city of Gainesville.
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Prices, institutions, and determinants of supply in the Malian cotton sector

TL;DR: In this article, a dynamic supply model, based on adaptive expectations and partial adjustment, is employed to estimate the effects of prices and institutional factors, such as credit recovery rates and date of payment to farmers, on the Malian cotton supply.