Toward Linking Demographic and Economic Models for Impact Assessmentby Christopher A. Williams, SAIC, Las Vegas, United States,
Christopher D. Meenan, SAIC, Las Vegas, United States,
Document Type: Proceeding Paper
Part of: High Level Radioactive Waste Management 1991
Abstract: One of the objectives of the Yucca Mountain Project, in Southern Nevada, is to evaluate the effects of the development of a high-level nuclear waste repository. As described in the Section 175 Report to the Congress of the United States, the temporal scope of this repository project encompasses approximately 70 years and includes four phases: site characterization and licensing, construction, operation, and closure and decommissioning. If retrieval of the waste were to be required, the temporal scope of the repository project could be extended to approximately 100 years. The study of the potential socioeconomic effects of this project is the foundation for this paper. This paper focuses on the economic and demographic aspects and a possible method to interface the two. First, the authors briefly discuss general socioeconomic modeling theory from a county level view point, as well as methods for the apportionment of county level data to sub-county areas. Next, the authors describe the unique economic and demographic conditions which exist in Nevada at both the state and county levels. Finally, the authors evaluate a possible procedure for analyzing repository effects at a sub-county level; this involves discussion of an interface linking the economic and demographic aspects, which is based on the reconciliation of supply and demand for labor. The authors conclude that the basis for further model development may rely on the interaction of supply and demand to produce change in wage rates. These changes in expected wages should be a justification for allocating economic migrants (who may respond to Yucca Mountain Project development) into various communities.
Subject Headings: Economic factors | Radioactive wastes | Computer models | Employee compensation and benefits | Social factors | Construction sites | Data processing | Simulation models | North America | United States | Nevada
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