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

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  • Anderson, Jamie B.
  • Jolly, Desmond A.
  • Green, Richard D.

Abstract

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.

Suggested Citation

  • Anderson, Jamie B. & Jolly, Desmond A. & Green, Richard D., 2005. "Determinants of farmer adoption of organic production methods in the fresh-market produce sector in California: A logistic regression analysis," 2005 Annual Meeting, July 6-8, 2005, San Francisco, California 36319, Western Agricultural Economics Association.
    • Handle: RePEc:ags:waeasa:36319
    DOI: 10.22004/ag.econ.36319
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    References listed on IDEAS

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    Cited by:

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    2. Caroline Roussy & Aude Ridier & Karim Chaïb, 2014. "Adoption d’innovations par les agriculteurs : rôle des perceptions et des préférences," Post-Print hal-01123427, HAL.
    3. Zein Kallas & Teresa Serra & José Maria Gil, 2010. "Farmers’ objectives as determinants of organic farming adoption: the case of Catalonian vineyard production," Agricultural Economics, International Association of Agricultural Economists, vol. 41(5), pages 409-423, September.
    4. Daniele Mozzato & Paola Gatto & Edi Defrancesco & Lucia Bortolini & Francesco Pirotti & Elena Pisani & Luigi Sartori, 2018. "The Role of Factors Affecting the Adoption of Environmentally Friendly Farming Practices: Can Geographical Context and Time Explain the Differences Emerging from Literature?," Sustainability, MDPI, vol. 10(9), pages 1-23, August.
    5. Ratana Sapbamrer & Ajchamon Thammachai, 2021. "A Systematic Review of Factors Influencing Farmers’ Adoption of Organic Farming," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
    6. Mzoughi, Naoufel, 2011. "Farmers adoption of integrated crop protection and organic farming: Do moral and social concerns matter?," Ecological Economics, Elsevier, vol. 70(8), pages 1536-1545, June.
    7. Djokoto, Justice Gameli & Afari-Sefa, Victor, 2017. "Alternative functional forms for technology choice: Application to cocoa production technologies," Technology in Society, Elsevier, vol. 50(C), pages 110-120.
    8. Xie, Yumei & Zhao, Hailei & Pawlak, Karolina & Gao, Yun, 2015. "The Development Of Organic Agriculture In China And The Factors Affecting Organic Farming," Journal of Agribusiness and Rural Development, University of Life Sciences, Poznan, Poland, vol. 36(2).
    9. Han, Guang & Arbuckle, J. Gordon & Grudens-Schuck, Nancy, 2021. "Motivations, goals, and benefits associated with organic grain farming by producers in Iowa, U.S," Agricultural Systems, Elsevier, vol. 191(C).
    10. Kapemba Mujinga & Nganda Jean Pierre Afumba, 2018. "Déterminants De La Mécanisation Agricole À Kimpese Dans La Province Du Kongo Central," Post-Print hal-01788077, HAL.

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