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Value of information on crop response function to soil salinity in a farm‐level optimization model

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  • Eli Feinerman

Abstract

The study investigates the value of additional information on the response function to soil salinity of a given crop (potatoes), with regard to a stochastic long‐run optimization model for utilization of saline water in a single‐farm framework. The analysis provides a conceptual and methodological framework for investigating the expected value of sample information (evsi), as well as an efficient tool for empirical application. Although a few approximations have been used, the results provide an estimate of evsi and indicate the need for additional information.

Suggested Citation

  • Eli Feinerman, 1994. "Value of information on crop response function to soil salinity in a farm‐level optimization model," Agricultural Economics, International Association of Agricultural Economists, vol. 10(3), pages 233-243, May.
    • Handle: RePEc:bla:agecon:v:10:y:1994:i:3:p:233-243
    DOI: 10.1111/j.1574-0862.1994.tb00305.x
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    Cited by:

    1. Buaha, Gabriel Toichoa & Apland, Jeffrey & Hicks, Dale, 1995. "A Regression Analysis Of The Effects Of Planting Date And Variety On Corn Yields In Minnesota," Staff Papers 13872, University of Minnesota, Department of Applied Economics.
    2. Ghimire, Monika & Bhavsar, Hiren & Choi, Jong San & Vitale, Jeffrey D. & Stoecker, Arthur L., 2012. "Integration Of Gis And Hydrological Models In A Feasibility Study Of Irrigation Under Salinity," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124714, Agricultural and Applied Economics Association.
    3. Ghimire, Monika & Stoecker, Art & Boyer, Tracy A. & Bhavsar, Hiren & Vitale, Jeffrey, 2016. "An Integration of GIS and Simulation Models for a Cost Benefit Analysis of Irrigation Development," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 5(4).

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