IDEAS home Printed from https://ideas.repec.org/p/ags/eaae11/116074.html
   My bibliography  Save this paper

Incorporating Local Water Quality in Welfare Measures of Agri-environmental Policy: A Choice Modelling Approach Employing GIS

Author

Listed:
  • Tait, Peter R.
  • Baskaran, Ramesh

Abstract

The spatial distribution of agro-environmental policy benefits has important implications for the efficient allocation of management effort. The practical convenience of relying on sample mean values of individual benefits for aggregation can come at the cost of biased aggregate estimates. The main objective of this paper is to test spatial hypotheses regarding respondents’ local water quality and quantity, and their willingness-to-pay for improvements in water quality attributes. This paper combines choice experiment and spatially related water quality data via a Geographical Information System (GIS) to develop a method that evaluates the influence of respondents’ local water quality on willingness-to-pay for river and stream conservation programs in Canterbury, New Zealand. Results show that those respondents who live in the vicinity of low quality waterway are willing to pay more for improvements relative to those who live near to high quality waterways.

Suggested Citation

  • Tait, Peter R. & Baskaran, Ramesh, 2011. "Incorporating Local Water Quality in Welfare Measures of Agri-environmental Policy: A Choice Modelling Approach Employing GIS," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 116074, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae11:116074
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/116074
    Download Restriction: no

    References listed on IDEAS

    as
    1. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, March.
    2. Danny Campbell & W George Hutchinson & Riccardo Scarpa, 2009. "Using choice experiments to explore the spatial distribution of willingness to pay for rural landscape improvements," Environment and Planning A, Pion Ltd, London, vol. 41(1), pages 97-111, January.
    3. Concu, Giovanni B., 2007. "Investigating distance effects on environmental values: a choice modelling approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), June.
    4. Condon, Brian & Hodges, Alan W. & Matta, Rao, 2007. "Public Preferences and Values for Rural Land Preservation in Florida," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 9857, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Chen, Nengwang & Li, Huancheng & Wang, Lihong, 2009. "A GIS-based approach for mapping direct use value of ecosystem services at a county scale: Management implications," Ecological Economics, Elsevier, vol. 68(11), pages 2768-2776, September.
    6. Bateman, Ian J. & Day, Brett H. & Georgiou, Stavros & Lake, Iain, 2006. "The aggregation of environmental benefit values: Welfare measures, distance decay and total WTP," Ecological Economics, Elsevier, vol. 60(2), pages 450-460, December.
    7. I.J. Bateman & A.P. Jones & A.A. Lovett & I.R. Lake & B.H. Day, 2002. "Applying Geographical Information Systems (GIS) to Environmental and Resource Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 219-269, June.
    8. Taylor, R. Garth & McKean, John R. & Johnson, Donn M., 2010. "Measuring the Location Value of a Recreation Site," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(1), April.
    9. Jenkins, W. Aaron & Murray, Brian C. & Kramer, Randall A. & Faulkner, Stephen P., 2010. "Valuing ecosystem services from wetlands restoration in the Mississippi Alluvial Valley," Ecological Economics, Elsevier, vol. 69(5), pages 1051-1061, March.
    10. Morrison, Mark, 2000. "Aggregation Biases in Stated Preference Studies," Australian Economic Papers, Wiley Blackwell, vol. 39(2), pages 215-230, June.
    11. Mark Agee & Thomas Crocker, 2010. "Directional heterogeneity of environmental disamenities: the impact of crematory operations on adjacent residential values," Applied Economics, Taylor & Francis Journals, vol. 42(14), pages 1735-1745.
    12. David Hensher & John Rose & William Greene, 2005. "The implications on willingness to pay of respondents ignoring specific attributes," Transportation, Springer, vol. 32(3), pages 203-222, May.
    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. Marsh, Dan & Phillips, Yvonne, 2012. "Difficult Choices: What Influences the Error Variance in a Choice Experiment," 2012 Conference, August 31, 2012, Nelson, New Zealand 139651, New Zealand Agricultural and Resource Economics Society.

    More about this item

    Keywords

    Water Quality; Choice Experiment; Geographical Information System; Environmental Economics and Policy; Resource /Energy Economics and Policy; Q51; Q25; Q58;

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:eaae11:116074. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/eaaeeea.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.