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dc.contributor.advisorMichael Flaxman.en_US
dc.contributor.authorKock, Beaudry E. (Beaudry Evan)en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Urban Studies and Planning.en_US
dc.date.accessioned2011-08-16T15:26:24Z
dc.date.available2011-08-16T15:26:24Z
dc.date.copyright2010en_US
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/65182
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2010.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 357-389).en_US
dc.description.abstractSalinity accumulation in the Lower Arkansas Basin (LAB) of Colorado threatens environmental quality, the agricultural economy and the potential for efficient reuse of water. Salinity is a threat to "hydraulic sustainability", since it will affect societal and environmental sustainability in a system heavily dependent on engineered structures for its water supply. Institutional solutions are preferable, being usually cheaper, quicker, and more reversible than infrastructure. Market institutions - water quality trading markets - have been often applied in the past to deal with salinity problems, but have been largely ineffective despite theoretical promise. Explanations for such institutional failure typically assume that stakeholders are boundedly- rational economic actors, but I review evidence that this is empirically unjustified, may be insufficiently explanatory, and precludes consideration of more innovative behavioral change solutions. Through collaborative work with basin stakeholders, I developed an agent-based model - "ArkAgent" - which simulates a water quality trading market; the water use and market interactions of basin actors; and basin hydrology. I conduct experiments to show that a simulated neoclassical market institution is less effective at reducing salinity when we make more realistic provisions for attitudinal and behavioral heterogeneity among resource users. I show that the use of post-hoc informational feedbacks as alternative non-monetary institutional incentives can address this performance issue, even in the face of conflicting economic pressures. I further demonstrate that exploiting social networks in non-economic incentive design can go even further in improving sustainability benefits. This work makes new theoretical contributions by showing how our models of institutional performance are critically dependent on behavioral assumptions; and that consequently our institutions for addressing hydraulic sustainability challenges may have incentives poorly matched to real behavioral complexity. This work also shows how an appropriately designed market institutional intervention in the LAB could achieve salinity reduction benefits over an 8 year period. Many of the model's practical insights are also relevant to large salinity-threatened basins across the western United States. The ArkAgent model provides an example of how we can use collaborative systems modeling and empirically-based behavioral assumptions to develop more robust institutions for sustainability.en_US
dc.description.statementofresponsibilityby Beaudry E. Kock.en_US
dc.format.extent389 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.relation.requiresCD-ROM contains supplemental material for thesis.en_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectUrban Studies and Planning.en_US
dc.titleAddressing agricultural salinity in the American West : harnessing behavioral diversity to institutional designen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planning
dc.identifier.oclc746079828en_US


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