Coupling Groundwater Contamination to Economic Returns When Applying Farm Pesticides
Dana L. Hoag and
Arthur G. Hornsby
No 259522, Archive from North Carolina State University, Department of Agricultural and Resource Economics
Abstract:
A methodology is presented that permits simultaneous consideration of the economics of production and groundwater contamination hazard of pesticide use. An example is constructed for weed control in soybean (Glycine max) production at Clayton, North Carolina. A cost/groundwater hazard frontier is, developed that can be used to identify and illustrate the cost tradeoffs of selecting alternative weed control strategies that reduce the risk of adverse health effects from drinking contaminated groundwater. 1The methodology relies on models to estimate costs, crop yields, pest competition, and leaching.of pesticides; thus, its applicability depends on availability of local data and appropriately validated models for the site considered. The cost/groundwater hazard frontier provides an excellent decision aid to assist pesticide users in making cost-effective and environmentally favorable production decisions. I:t is also useful in evaluating policy or the value of new pest control technologies, as it indicates a farmer's ability to substitute alternatives for currently used practices.
Keywords: Agricultural and Food Policy; Environmental Economics and Policy; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 30
Date: 1991-07-01
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://ageconsearch.umn.edu/record/259522/files/magr-northcarolinastate-048.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:ncarar:259522
DOI: 10.22004/ag.econ.259522
Access Statistics for this paper
More papers in Archive from North Carolina State University, Department of Agricultural and Resource Economics
Bibliographic data for series maintained by AgEcon Search ().