IDEAS home Printed from https://ideas.repec.org/a/bla/jageco/v44y1993i2p322-334.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1477-9552.1993.tb00275.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1477-9552.1993.tb00275.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. McVey, Marty Jay, 1996. "Valuing quality differentiated grains from a total logistics perspective," ISU General Staff Papers 1996010108000012326, Iowa State University, Department of Economics.
    2. Miller, Gay & Rosenblatt, Joseph & Hushak, Leroy, 1987. "The Effects Of Supply Shifts On Producers Surplus," 1987 Annual Meeting, August 2-5, East Lansing, Michigan 270116, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Midingoyi, Soul-kifouly & Hippolyte, Affognon & Georges, Ong'amo & Bruno, LeRu, 2015. "Economic Welfare Change Attributable to Biological Control of Lepidopteran Cereal Stemborer Pests in East and Southern Africa: Cases of Maize and Sorghum in Kenya, Mozambique and Zambia," 2015 Conference, August 9-14, 2015, Milan, Italy 212461, International Association of Agricultural Economists.
    4. Aaron Michael Shew & Alvaro Durand‐Morat & Lawton Lanier Nalley & Karen Ann‐Kuenzel Moldenhauer, 2018. "Estimating the benefits of public plant breeding: beyond profits," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 753-764, November.
    5. A. C. Herruzo, 1992. "Producer Benefits From Technology Induced Supply Shifts In The Ec Cotton Regime," Journal of Agricultural Economics, Wiley Blackwell, vol. 43(1), pages 56-63, January.
    6. Alston, Julian M. & Chalfant, James A. & Pardey, Philip G., 1993. "Structural Adjustment In Oecd Agriculture: Government Policies And Technical Change," Working Papers 14473, University of Minnesota, Center for International Food and Agricultural Policy.
    7. Birthal, Pratap S. & Joshi, P. K. & Kumar, Anjani, 2002. "Assessment of Research Priorities for Livestock Sector in India," Policy Papers 344968, ICAR National Institute of Agricultural Economics and Policy Research (NIAP).
    8. Quade, Kathryn J. & Brennan, John P. & Aw-Hassan, Aden & Nordblom, Thomas L., 2002. "Impact on Australia of ICARDA’s Research on Kabuli Chickpeas," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 173989, Australian Agricultural and Resource Economics Society.
    9. Vernon Ruttan, 1982. "Bureaucratic productivity: The case of agricultural research revisited — A rejoinder," Public Choice, Springer, vol. 39(2), pages 319-329, January.
    10. Travis, Elli & Alwang, Albert & Elliott-Engel, Jeremy, 2018. "Developing a Holistic Assessment for Land Grant University Economic Impact Studies: A Case Study," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266789, Southern Agricultural Economics Association.
    11. Widmer, Lorne & Fox, Glenn & Brinkman, George, 1987. "The Rate of Return to Beef Cattle Research in Canda," Working Papers 244821, University of Guelph, Department of Food, Agricultural and Resource Economics.
    12. Andersen, Matthew A., 2019. "Knowledge productivity and the returns to agricultural research: a review," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(2), April.
    13. Thirtle, Colin, 1986. "The Production Function Approach to the Relationship Between Productivity Growth and R & D," Manchester Working Papers in Agricultural Economics 232791, University of Manchester, School of Economics, Agricultural Economics Department.
    14. Miranowski, John A., 1979. "Integrated Pest Management In Corn Rootworm Control: A Preliminary Economic Assessment," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 277613, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Bradford F. Mills, 1998. "Ex Ante Research Evaluation and Regional Trade Flows: Maize in Kenya," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(3), pages 393-408, September.
    16. Wu, JunJie, 2001. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, Blackwell, vol. 25(1), pages 119-130, June.
    17. Itai Trilnick & David Zilberman, 2021. "Microclimate Engineering for Climate Change Adaptation in Agriculture: The Case of California Pistachios," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1342-1358, August.
    18. 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.
    19. Pannell, David J, 1989. "A Model of Wheat Yield Response to Application of Diclofop-Methyl to Control Ryegrass (Lolium Rigidum)," Discussion Papers 232314, University of Western Australia, School of Agricultural and Resource Economics.
    20. Scobie, Grant M., 1984. "Investment in Agricultural Research: Some Economic Principles," Economics Working Papers 232447, CIMMYT: International Maize and Wheat Improvement Center.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jageco:v:44:y:1993:i:2:p:322-334. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0021-857X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.