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Economic Analysis of Critical Habitat Designation in the Colorado River Basin for the Razorback Sucker, Humpback Chub, Colorado Squawfish, and Bonytail April 1994
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Economic Analysis of Critical Habitat Designation in the Colorado River Basin for the Razorback Sucker, Humpback Chub, Colorado Squawfish, and Bonytail April 1994
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Economic Analysis of Critical Habitat Designation in the Colorado River Basin for the Razorback Sucker, Humpback Chub, Colorado Squawfish, and Bonytail April 1994
State
CO
Basin
Colorado Mainstem
Date
4/1/1994
Title
Economic Analysis of Critical Habitat Designation in the Colorado River Basin for the Razorback Sucker, Humpback Chub, Colorado Squafish, and Bonytail April 1994
Water Supply Pro - Doc Type
Report/Study
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taken to recover the endangered fishes. The study period of analysis chosen to reflect the <br />recovery projections for the endangered fishes was 1995 through 2020. Economic activity <br />under the "without fish" scenario was estimated using Impact Analysis for Planning <br />(IMPLAN) 1982 data sets updated (to 1989) and then projected through the year 2020 using <br />data from the Bureau of Economic Analysis of the U.S. Department of Commerce. These <br />economic projections formed the "without fish" scenario for determining the impacts due to <br />critical habitat. <br />2. With Fish Scenario <br />The "with fish" scenario was constructed by analyzing potential changes in economic activity <br />that may occur due to listing and critical habitat designations and /or other protection and <br />recovery efforts for endangered fishes. These potential changes were projected for specified <br />intervals over the entire study period. <br />D. Aggregation of Producing Sectors <br />The IMPLAN input- output data base that serves as a foundation for both the input- output <br />models and the CGE model is composed of 528 producing sectors. For the analyses, this <br />number was reduced by aggregating like sectors. Several considerations affected the level of <br />sectoral aggregation. <br />The type of analysis is one factor in the determination of the appropriate level of aggregation <br />and the manner in which the aggregation is performed. In general, it is desirable to <br />aggregate those sectors that are not of direct interest to this study. This results in a level of <br />detail that can be managed. Conversely, those sectors that are of interest to the task at hand <br />must be kept separate. Thus, the aggregation scheme adopted for this analysis retains several <br />agriculture sectors, the recreation sector, the electric power sector, and some key mining <br />sectors. <br />I -18 <br />
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