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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Technology in Societ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Technology in Society
Article . 2014 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Identifying peer states to assess technology-based economic development

Authors: David L. Schwarzkopf;

Identifying peer states to assess technology-based economic development

Abstract

Abstract States often rely on 50-state “report cards” or indices to track their progress in technology-based economic development. Economic development agencies value these indices, published by independent consultancies, because they cut the costs of compiling data, compare states to one another and allow agencies to avoid charges of “cherry-picking” measures to serve their own purpose. The rankings of the states in these indices have appeal as they give policymakers and development agencies an idea of likely peer states and possible members of an aspirant group. Peers and aspirant groups provide a state with examples of alternative approaches to economic development, while allowing agencies to depict economic development activities in competitive terms for policymakers and legislators. Therefore, it is important that these comparisons be valid and, since the state's development policies affect the public, it is worthwhile for the citizenry to understand how agencies make these comparisons. Although rankings are easy to understand, manipulating multiple measures to produce a single number (the ranking) can distort important differences between states. The present research addresses whether these rankings provide a reliable source for peer and aspirant groups. Analysis of two popular scorecards—the State New Economy Index and the State Technology and Science Index —shows that rankings provide only a broad picture of a state's relative standing. Clustering techniques based on self-organizing maps give a more refined view, better suited for policy analysis.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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