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Evaluating the efficiency of conservation efforts: a frontier regression approach

dc.contributor.authorKeenan, Andrew, author
dc.contributor.authorKling, Robert, advisor
dc.contributor.authorAnderson, Aaron, committee member
dc.contributor.authorGoemans, Chris, committee member
dc.contributor.authorPena, Anita, committee member
dc.description.abstractConservation efforts in the United Kingdom began in 1949 with the Nature Conservancy Act. The goals of this legislation were to preserve natural areas and areas inhabited by threatened and endangered species, as well as provide the opportunity for research. The objective of this thesis is to apply stochastic frontier analysis (SFA) to better evaluate the efficiency of threatened and endangered species conservation efforts. SFA will build upon previous analysis that uses cost-utility analysis to measure the effectiveness of a Species Action Plan (SAP). This new application of a SFA will help improve the assessment of efficiency of government programs, and is an improvement from existing conservation efficiency measures because the analysis does not require assumptions of the value of a species. The absence of assumptions on value helps the analysis reflect actual funding decisions and better allows for interspecies comparisons. The results will not only provide a more robust analysis, but also have practical application in evaluating the efficiency of a species recovery and give conservation efforts a better measurement tool. With an effective efficiency measure in place, programs will be better judged and shifts in funding or changes to specific plans are possible.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.publisherColorado State University. Libraries
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see
dc.subjectspecies conservation
dc.subjectstochastic frontier analysis
dc.subjectconservation output protection years
dc.titleEvaluating the efficiency of conservation efforts: a frontier regression approach
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