Incorporating Local Water Quality in Welfare Measures of Agri-environmental Policy: A Choice Modelling Approach Employing GIS
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.
|Date of creation:||2011|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.eaae.org|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Morrison, Mark, 2000. "Aggregation Biases in Stated Preference Studies," Australian Economic Papers, Wiley Blackwell, vol. 39(2), pages 215-30, June.
- 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.
- 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.
- Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
- 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.
- 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.
- Danny Campbell & W. George Hutchinson & Riccardo Scarpa, 2007. "Using Choice Experiments to Explore the Spatial Distribution of Willingness to Pay for Rural Landscape Improvements," Working Papers in Economics 07/06, University of Waikato, Department of Economics.
- 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.
- 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.
- 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, 05.
- 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, , vol. 41(1), pages 97-111, January.
- 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).
- 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, European Association of Environmental and Resource Economists, vol. 22(1), pages 219-269, June.
- 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.
- Giovanni B. Concu, 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), pages 175-194, 06.
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)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 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.