@article{b961254ee1814dbe9af57418ab3599f1,
title = "Local and interregional economic analysis of large US Department of energy waste management projects",
abstract = "An economic simulation model was used to understand the local and interregional economic impacts of four alternative waste management technologies proposed for the US Department of Energy's Savannah River nuclear weapons site. The simulations of the four technologies, each of which will cost at least a billion dollars, were done for the period 2000-2015. The analyses show that differences in project costs are not directly reflected in local economic impacts because of differences among the technologies during the design, testing and construction phases; differences in locations where the design and pilot-testing would occur; and choices about how any of the technologies would be funded.",
author = "Michael Greenberg and David Lewis and Michael Frisch",
note = "Funding Information: The authors would like to thank Charles Powers, director, and the other members of the CRESP management board for encouraging this type of research. The project was begun under a cooperative grant to the Consortium for Risk Evaluation with Stakeholder Participation (CRESP) from the US Department of Energy, Instrument DE-FC01-95EW 55084 and was completed under a second cooperative grant agreement DE-FG26-00NT40938. We would like to thank DOE scientists and engineers, notably John Reynolds, Tom Heenan, and Howard Gnann for spending a lot of time with us explaining the details of the project estimates. This research would not have been possible without their assistance. We would like to thank our colleagues Henry Mayer and Karen Lowrie for participating in conversations about this study for many months. We also thank three anonymous reviewers for their suggestions. The observations, conclusions, and interpretations drawn from the data are solely the responsibility of the authors and should not be interpreted as representing the views of any of the people acknowledged, nor should it be inferred that they agree with the conclusions drawn from the analysis.",
year = "2002",
doi = "10.1016/S0956-053X(01)00047-2",
language = "English (US)",
volume = "22",
pages = "643--655",
journal = "Waste Management",
issn = "0956-053X",
publisher = "Elsevier Ltd",
number = "6",
}