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Stochastic Efficiency Analysis Of Community-Supported Agriculture Core Management Options

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  • Sanneh, Njundu
  • Moffitt, L. Joe
  • Lass, Daniel A.

Abstract

The continued decline in both the number of and the acreage in small-scale farms and rural communities, as well as food safety and environmental concerns, has heightened interest in the community-supported agriculture (CSA) concept. Mean-variance, stochastic dominance, mean-Gini, and exponential utility/moment-generating function approaches to stochastic efficiency are employed to analyze three years of farm survey data on core management options for CSA farms. The core concept yields higher net income per acre than non-core management and, based on the stochastic efficiency analysis, should be regarded as the preferred management option for many CSA operators.

Suggested Citation

  • Sanneh, Njundu & Moffitt, L. Joe & Lass, Daniel A., 2001. "Stochastic Efficiency Analysis Of Community-Supported Agriculture Core Management Options," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(2), pages 1-14, December.
    • Handle: RePEc:ags:jlaare:31053
    DOI: 10.22004/ag.econ.31053
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    References listed on IDEAS

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    Cited by:

    1. Marie Diekmann & Ludwig Theuvsen, 2019. "Value structures determining community supported agriculture: insights from Germany," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 36(4), pages 733-746, December.
    2. Wellner, Marie & Theuvsen, Ludwig, 2016. "Community Supported Agriculture Als Neuer Impuls Für Die Regionalvermarktung? Stand Der Forschung Und Abgrenzung Von Anderen Alternativen Lebensmittelnetzwerken," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244757, German Association of Agricultural Economists (GEWISOLA).
    3. Tegtmeier, Erin & Duffy, Michael, 2005. "Community Supported Agriculture (Csa) in the Midwest United States: A Regional Characterization," Staff General Research Papers Archive 12577, Iowa State University, Department of Economics.

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