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Towards An Economic Framework For Evaluating Potential Benefits From Research Into Weed Control

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  • S. Pandey
  • R. K. Lindner
  • R. W. Medd

Abstract

A dynamic economic model for estimating benefits from research into alternative tactics for weed control is developed, by treating weeds as renewable negative resources. Research benefits are evaluated as the change in steady‐state profit resulting from research‐induced changes in various parameters of the system. The model is illustrated by application to research aimed at the control of wild oats in wheat in Australia, whereby it was found that the magnitude of benefits depended not only on the level of research‐induced change but also on demographic behaviour of the weed. Research leading to reductions in seedling survival, potential fecundity or recruitment gave higher benefits than the manipulation of weed competitiveness or seed mortality. Reduced seedling survival gave the highest benefits in most cases, but achieving such improvement by improving herbicide efficacy may have a high marginal cost given that the tactic is already well‐researched. Thus it is concluded that research into reducing potential fecundity could be more worthwhile, since it also gave high benefits but is relatively unexplored.

Suggested Citation

  • S. Pandey & R. K. Lindner & R. W. Medd, 1993. "Towards An Economic Framework For Evaluating Potential Benefits From Research Into Weed Control," Journal of Agricultural Economics, Wiley Blackwell, vol. 44(2), pages 322-334, May.
    • Handle: RePEc:bla:jageco:v:44:y:1993:i:2:p:322-334
    DOI: 10.1111/j.1477-9552.1993.tb00275.x
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    References listed on IDEAS

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    1. Gershon Feder, 1979. "Pesticides, Information, and Pest Management under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(1), pages 97-103.
    2. Pandey, Sushil & Medd, R. W., 1990. "Integration of seed and plant kill tactics for control of wild oats: An economic evaluation," Agricultural Systems, Elsevier, vol. 34(1), pages 65-76.
    3. R. K. Lindner & F. G. Jarrett, 1980. "Supply Shifts and the Size of Research Benefits: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(4), pages 841-844.
    4. Norton, George W. & Davis, Jeffrey S., 1979. "Review Of Methods Used To Evaluate Returns To Agricultural Research," Staff Papers 13520, University of Minnesota, Department of Applied Economics.
    5. Pandey, Sushil & Medd, R. W., 1991. "A stochastic dynamic programming framework for weed control decision making: an application to Avena fatua L," Agricultural Economics, Blackwell, vol. 6(2), pages 115-128, December.
    6. George W. Norton & Jeffrey S. Davis, 1981. "Evaluating Returns to Agricultural Research: A Review," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(4), pages 685-699.
    7. H. Talpaz & G. L. Curry & P. J. H. Sharpe & D. W. DeMichele & R. E. Frisbie, 1978. "Optimal Pesticide Application for Controlling the Boll Weevil on Cotton," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(3), pages 469-475.
    8. Edgar A. Lanzer & Quirino Paris, 1981. "A New Analytical Framework for the Fertilization Problem," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 93-103.
    9. Oscar R. Burt & Ronald G. Cummings, 1977. "Natural Resource Management, the Steady State, and Approximately Optimal Decision Rules," Land Economics, University of Wisconsin Press, vol. 53(1), pages 1-22.
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    Cited by:

    1. Jones, Randall E. & Cacho, Oscar J. & Sinden, Jack A., 2003. "Modelling the Dynamics of Weed Management Technologies," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57902, Australian Agricultural and Resource Economics Society.
    2. Pannell, David J., 1994. "The Value Of Information In Herbicide Decision Making For Weed Control In Australian Wheat Crops," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(2), pages 1-16, December.
    3. Wallinga, Jacco, 1998. "Analysis of the rational long-term herbicide use: Evidence for herbicide efficacy and critical weed kill rate as key factors," Agricultural Systems, Elsevier, vol. 56(3), pages 323-340, March.

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