What Should EDA Fund?: Developing a Model for Preassessment of Economic Development Investments
AbstractThis article describes a comprehensive study of regionalism conducted by a joint team of economists and economic development specialists for the U.S. Economic Development Administration (EDA). The project consisted of two main activities: an examination of the factors associated with economic development success and the creation of a practical interactive tool for EDA project assessment and comparison. Findings from surveys, interviews, and project case studies are discussed in terms of their support for a positive relationship between successful economic development efforts and factors such as leadership and private investment. The authors also discuss the creation of a quantitative assessment model using well-known approaches such as economic impact multipliers and cluster theory. The primary contribution of this work to the existing body of EDA-focused research and evaluation literature is its introduction of a means of using standardized scores, also known as z-scores, to compare and assess economic development projects across both industries and regions.
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Bibliographic InfoArticle provided by in its journal Economic Development Quarterly.
Volume (Year): 25 (2011)
Issue (Month): 1 (February)
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Other versions of this item:
- Brad R. Watts & George A. Erickcek & Jacob Duritsky & Kevin O’Brien & Claudette Robey & Jim Robey, 2009. "What Should EDA Fund? Developing a Model for Pre-Assessment of Economic Development Investments," Upjohn Working Papers and Journal Articles 09-155, W.E. Upjohn Institute for Employment Research.
- O21 - Economic Development, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
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- Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle, October.
- Martin, Randolph C & Graham, Robert E, Jr, 1980. "The Impact of Economic Development Administration Programs: Some Empirical Evidence," The Review of Economics and Statistics, MIT Press, vol. 62(1), pages 52-62, February.
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