IDEAS home Printed from https://ideas.repec.org/p/ags/uneewp/12918.html
   My bibliography  Save this paper

Economic Impacts Of Noxious Weeds, Other Weeds, And Tree Growth, On Agricultural Production In The New England Tablelands, New South Wales

Author

Listed:
  • Townsend, J.
  • Sinden, Jack A.

Abstract

The economic impact of weeds on farms in the New England Region of New South Wales is estimated from data from a cross -sectional survey. Weeds can be classed as noxious or declared plants, plants that the farmers perceived as weeds, and trees -- which many farmers also perceived as weeds. Variables were defined for several levels of intensity of infestation for each of these three classes of weeds. The impact of each these variables, on property income and stocking, was estimated through Cobb-Douglas production functions. The presence of very-heavy infestations of non-noxious weeds, and heavy infestations of non-noxious weeds, were found to be associated with reductions in income. In total, the income of the representative property would be increased by 15 per cent, ceteris paribus, if these infestations were removed.

Suggested Citation

  • Townsend, J. & Sinden, Jack A., 1999. "Economic Impacts Of Noxious Weeds, Other Weeds, And Tree Growth, On Agricultural Production In The New England Tablelands, New South Wales," Working Papers 12918, University of New England, School of Economics.
    • Handle: RePEc:ags:uneewp:12918
    DOI: 10.22004/ag.econ.12918
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/12918/files/wp9905.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.12918?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. Pannell, David J., 1990. "An Economic Response Model Of Herbicide Application For Weed Control," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 34(3), pages 1-19, December.
    2. Pannell, David J., 1988. "Weed Management: A Review of Applied Economics Research in Australia," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-15, December.
    3. Vere, David T. & Jones, Randall E. & Griffith, Garry R., 1997. "An Integrated Economic Approach to Evaluating the Farm and Industry Benefits of Weed Control in Agricultural Production Systems," 1997 Conference (41st), January 22-24, 1997, Gold Coast, Australia 136818, Australian Agricultural and Resource Economics Society.
    Full references (including those not matched with items on IDEAS)

    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. Jones, Randall E. & Cacho, Oscar J., 2000. "A Dynamic Optimisation Model of Weed Control," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123685, Australian Agricultural and Resource Economics Society.
    2. Schmidt, Carmel P & Pannell, David J, 1996. "Economic Issues in Management of Herbicide-Resistant Weeds," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 64(03), pages 1-8, December.
    3. Bennett, Anne L. & Pannell, David J., 1998. "Economic evaluation of a weed-activated sprayer for herbicide application to patchy weed populations," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(4), pages 1-20.
    4. Vere, David T. & Jones, Randall E. & Dowling, Peter, 2004. "An Economic Evaluation of Research into the Improved Management of the Annual Grass Weed Vulpia in Temperate Pastures in South-Eastern Australia," Research Reports 42503, New South Wales Department of Primary Industries Research Economists.
    5. Russell J. Gorddard & David J. Pannell & Greg Hertzler, 1995. "An Optimal Control Model For Integrated Weed Management Under Herbicide Resistance," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(1), pages 71-87, April.
    6. Gackstetter, David & von Bloh, Malte & Hannus, Veronika & Meyer, Sebastian T. & Weisser, Wolfgang & Luksch, Claudia & Asseng, Senthold, 2023. "Autonomous field management – An enabler of sustainable future in agriculture," Agricultural Systems, Elsevier, vol. 206(C).
    7. Gorddard, Russell J. & Pannell, David J. & Hertzler, Greg, 1996. "Economic evaluation of strategies for management of herbicide resistance," Agricultural Systems, Elsevier, vol. 51(3), pages 281-298, July.
    8. Pannell, David J., 1990. "An Economic Response Model Of Herbicide Application For Weed Control," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 34(3), pages 1-19, December.
    9. Böcker, Thomas & Britz, Wolfgang & Finger, Robert, 2017. "Modelling the Effects of a Glyphosate Ban on Weed Management in Maize Production," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 261982, German Association of Agricultural Economists (GEWISOLA).
    10. Nordblom, Thomas L. & Jones, Randall E. & Medd, Richard W., 2003. "Economics of factor adjusted herbicide doses: a simulation analysis of best efficacy targeting strategies (BETS)," Agricultural Systems, Elsevier, vol. 76(3), pages 863-882, June.
    11. Epanchin-Niell, Rebecca S. & Wilen, James E., 2012. "Optimal spatial control of biological invasions," Journal of Environmental Economics and Management, Elsevier, vol. 63(2), pages 260-270.
    12. David J. Pannell, 2006. "Flat Earth Economics: The Far-reaching Consequences of Flat Payoff Functions in Economic Decision Making," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(4), pages 553-566.
    13. Nordblom, Thomas L. & Jones, Randall E. & Medd, Richard W., 2001. "Economics of factor-adjusted herbicide doses: Best-Efficacy Targeting or Best Fixed Doses vs 'blind' upper or lower label doses," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 125800, Australian Agricultural and Resource Economics Society.
    14. Unknown, 2001. "Proceedings of an International Workshop held in Bangkok, Thailand 8 – 9 June 2001: Water Policy Reform: Lessons from Asia and Australia," ACIAR Proceedings Series 135378, Australian Centre for International Agricultural Research.
    15. 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.
    16. Pannell, David J., 1995. "Optimal Herbicide Strategies Given Yield and Quality Impacts of Weeds," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 63(02), pages 1-7, August.
    17. Nordblom, Thomas L. & Medd, Richard W., 2000. "Whole Truth in Herbicide Labelling," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123711, Australian Agricultural and Resource Economics Society.
    18. Zull, Andrew F. & Cacho, Oscar J. & Lawes, Roger A., 2009. "Optimising woody-weed control," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47620, Australian Agricultural and Resource Economics Society.
    19. Young, Douglas L. & Haantuba, Hyde H., 1998. "An Economic Threshold For Tick Control Considering Multiple Damages And Probability-Based Damage Functions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(2), pages 1-11, December.
    20. Melstrom, Richard T., 2014. "Managing apparent competition between the feral pigs and native foxes of Santa Cruz Island," Ecological Economics, Elsevier, vol. 107(C), pages 157-162.

    More about this item

    Keywords

    Farm Management;

    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:ags:uneewp:12918. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/deuneau.html .

    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.