A Decision Support System for selecting economic incentives to control nonpoint source pollution from agricultural lands.

Persistent Link:
http://hdl.handle.net/10150/187172
Title:
A Decision Support System for selecting economic incentives to control nonpoint source pollution from agricultural lands.
Author:
Heilman, Philip.
Issue Date:
1995
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The Southwest Watershed Research Center of the Agricultural Research Service has developed a Prototype Decision Support System (PDSS) which ranks alternative management systems on an individual field based on the returns to the farmer and the quantities of agricultural pollutants leaving the field. A method has been developed which complements the PDSS by extending the analysis to the whole farm, to consider whole farm resource availability as well as aversion to variations in returns and resource availabilities. The method can be used to determine whether or not farmers have the economic incentives needed to induce the adoption of the highly ranked management systems, and if not, the magnitude of the economic incentives needed can be estimated. The method requires the definition of a representative farm, simulating the alternative management systems which are expected to address the major resource problems for which there are insufficient data, scoring those practices with the PDSS, and using an optimization model to determine the set of management systems which is both feasible and maximizes the area weighted score for the farm. This solution represents the socially preferred set of management systems when offsite effects are taken into account. A similar optimization model with a symmetric quadratic formulation is solved to determine the set of management systems a risk averse, profit maximizing farmer would prefer. By comparing the two solutions, the possibility of promoting management systems which can both improve farm income and reduce offsite damage can be determined. The cost to the farmer of adopting the management systems for their offsite benefits can also be estimated. An example for a 243 hectare farm from the deep loess hills in western Iowa was examined to consider farm income, sediment yield, nitrogen and atrazine emissions. The preferred management system from both the farmer's and society's points of view included a corn soybean rotation, no till tillage, and atrazine. Depending on the importance of controlling nitrogen emissions to the decision maker, the cost to the farmer (the required economic incentive) for limiting nitrogen loading to the desired level could reach $10/ha.
Type:
text; Dissertation-Reproduction (electronic)
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Renewable Natural Resources; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Lane, Leonard J.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleA Decision Support System for selecting economic incentives to control nonpoint source pollution from agricultural lands.en_US
dc.creatorHeilman, Philip.en_US
dc.contributor.authorHeilman, Philip.en_US
dc.date.issued1995en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe Southwest Watershed Research Center of the Agricultural Research Service has developed a Prototype Decision Support System (PDSS) which ranks alternative management systems on an individual field based on the returns to the farmer and the quantities of agricultural pollutants leaving the field. A method has been developed which complements the PDSS by extending the analysis to the whole farm, to consider whole farm resource availability as well as aversion to variations in returns and resource availabilities. The method can be used to determine whether or not farmers have the economic incentives needed to induce the adoption of the highly ranked management systems, and if not, the magnitude of the economic incentives needed can be estimated. The method requires the definition of a representative farm, simulating the alternative management systems which are expected to address the major resource problems for which there are insufficient data, scoring those practices with the PDSS, and using an optimization model to determine the set of management systems which is both feasible and maximizes the area weighted score for the farm. This solution represents the socially preferred set of management systems when offsite effects are taken into account. A similar optimization model with a symmetric quadratic formulation is solved to determine the set of management systems a risk averse, profit maximizing farmer would prefer. By comparing the two solutions, the possibility of promoting management systems which can both improve farm income and reduce offsite damage can be determined. The cost to the farmer of adopting the management systems for their offsite benefits can also be estimated. An example for a 243 hectare farm from the deep loess hills in western Iowa was examined to consider farm income, sediment yield, nitrogen and atrazine emissions. The preferred management system from both the farmer's and society's points of view included a corn soybean rotation, no till tillage, and atrazine. Depending on the importance of controlling nitrogen emissions to the decision maker, the cost to the farmer (the required economic incentive) for limiting nitrogen loading to the desired level could reach $10/ha.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineRenewable Natural Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairLane, Leonard J.en_US
dc.contributor.committeememberKing, Daviden_US
dc.contributor.committeememberVogel, Douglas R.en_US
dc.contributor.committeememberThompson, Garyen_US
dc.identifier.proquest9534678en_US
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