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Indigenous knowledge systems, the cognitive revolution, and agricultural decision making

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  • Christina Gladwin

Abstract

Increasingly, it is accepted wisdom for agricultural scientists to get feedback from indigenous peoples—peasants—about new improved seeds and biotechnologies before their official release from the experiment station. What is not yet accepted wisdom is the importance of cognitive science to research on farmer decision making, especially of the type “Why don't they adopt.” In this paper, the impact of the cognitive revolution on models of farmer decision making is described, and decision making models before and after the cognitive revolution are contrasted. An example of a decision model after the cognitive revolution is given by the Malawi farmer's decision whether to use chemical fertilizers or organic fertilizers or both. Results of testing the model show that in Malawi, smallholders' lack of capital and credit are more important factors constraining use of chemical fertilizers than are indigenous beliefs in organic fertilizers or fears of a future dependency on chemicals. Copyright Kluwer Academic Publishers 1989

Suggested Citation

  • Christina Gladwin, 1989. "Indigenous knowledge systems, the cognitive revolution, and agricultural decision making," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 6(3), pages 32-41, June.
    • Handle: RePEc:spr:agrhuv:v:6:y:1989:i:3:p:32-41
    DOI: 10.1007/BF02217667
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    References listed on IDEAS

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    1. Schoemaker, Paul J H, 1982. "The Expected Utility Model: Its Variants, Purposes, Evidence and Limitations," Journal of Economic Literature, American Economic Association, vol. 20(2), pages 529-563, June.
    2. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652, July.
    3. R. R. Officer & A. N. Halter, 1968. "Utility Analysis in a Practical Setting," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 50(2), pages 257-277.
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    Cited by:

    1. Andrew Raedeke & J. Rikoon, 1997. "Temporal and spatial dimensions of knowledge: Implications for sustainable agriculture," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 14(2), pages 145-158, June.
    2. Micha, E. & Tsakiridis, A. & Ragkos, A., 2018. "Assessing the importance of soil testing in fertilizer use intensity: an econometric analysis of phosphorus fertilizer allocation in dairy farm systems," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277103, International Association of Agricultural Economists.
    3. Newsome, Lucie & Sheridan, Alison, 2018. "Taking Stock: Identifying the Growing Agricultural Service Sector in Australia," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 26.

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