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Toward A Framework for Evaluating Agricultural Economics Research

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  • Lindner, Bob

Abstract

Agricultural economists need to evaluate their own research priorities. The main difficulty in doing so is to value the types of information generated by economic research. Bayesian decision theory provides a framework for valuing information, and the results of selected studies using this methodology are collated. Most of the other determinants of research priorities can be encapsulated in a target return ratio measure. How such a framework might be used is illustrated by three "hypotheticals".

Suggested Citation

  • Lindner, Bob, 1987. "Toward A Framework for Evaluating Agricultural Economics Research," Discussion Papers 315419, University of Western Australia, School of Agricultural and Resource Economics.
    • Handle: RePEc:ags:uwapdp:315419
    DOI: 10.22004/ag.econ.315419
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    References listed on IDEAS

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    Cited by:

    1. Gardner, Bruce L., 1997. "Returns to Policy-Related Social Science Research in Agriculture," Working Papers 197845, University of Maryland, Department of Agricultural and Resource Economics.
    2. Kelley, T. G. & Ryan, J. G. & Patel, B. K., 1995. "Applied participatory priority setting in international agricultural research: Making trade-offs transparent and explicit," Agricultural Systems, Elsevier, vol. 49(2), pages 177-216.
    3. Ryan, Jim, 2002. "Assessing the impact of food policy research: rice trade policies in Viet Nam," Food Policy, Elsevier, vol. 27(1), pages 1-29, February.

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