Determinants of farmer adoption of organic production methods in the fresh-market produce sector in California: A logistic regression analysis

This research uses binomial and multinomial logistic regression models to identify the factors that influence farmers’ adoption of organic technology. Using a sample of 175 farmers growing fresh-market produce in three California counties, the first model examines farmers’ choice between conventional-only and organic-only production. The second model compares conventional-only and "dual-method" (combined conventional and organic) production, while the third model employs all three choices in a multinomial model. These results, which indicate that gross sales, direct marketing, number of crops and acres, farmer age, and computer usage are significant determinants, have implications on policies that regulate the organic foods sector.


Issue Date:
2005
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/36319
Total Pages:
25
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-04-26

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