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The Efficiency Of The High‐Tech Economy: Conventional Development Indexes Versus A Performance Index

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  • Raymond A. Raab
  • Pradeep Kotamraju

Abstract

ABSTRACT Data Envelopment Analysis (DEA) is employed to construct an index of relative efficiencies by maximizing two proxies of high‐tech output subject to minimizing five specific resources often associated with high‐tech infrastructure. This approach ranks the 50 U.S. states from the most robustly efficient to the most robustly inefficient. The DEA approach avoids using equal or subjective weights employed in the New State Economy Index rankings. The ranking of the 50 states yields some interesting differences between some states' dominance in high‐tech industries and their economic performance.

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  • Raymond A. Raab & Pradeep Kotamraju, 2006. "The Efficiency Of The High‐Tech Economy: Conventional Development Indexes Versus A Performance Index," Journal of Regional Science, Wiley Blackwell, vol. 46(3), pages 545-562, August.
    • Handle: RePEc:bla:jregsc:v:46:y:2006:i:3:p:545-562
    DOI: 10.1111/j.1467-9787.2006.00452.x
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    Cited by:

    1. Berghäll, Elina, 2008. "Revealing Agglomeration Economies with Stochastic Frontier Modelling in the Finnish ICT Industry," Discussion Papers 435, VATT Institute for Economic Research.
    2. Robert Huggins & Hiro Izushi, 2009. "Regional Benchmarking in a Global Context: Knowledge, Competitiveness, and Economic Development," Economic Development Quarterly, , vol. 23(4), pages 275-293, November.
    3. Lin Zhu & Bo Xu, 2017. "Grey Relation Analysis on the High-tech Industry and Economic Growth——Empirical Evidence from Yunnan Province of China," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(4), pages 213-213, March.

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