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Research of the Efficiency of High-Tech Industry Based on DEA Model: Evidence from China

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Advances in Electric and Electronics

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 155))

Abstract

High-tech industry of a nation is the determinants of the international competitiveness. This paper analyzed the input-output efficiency of 15 high-tech industries using DEA methodology based on the data of “Basic Statistics on Scientific and Technological Activities Funds of Large and Medium-sized Industrial Enterprises in High-tech Industry (2008)”. The empirical results indicate that, under the evaluation system whose main output indicators are short-term economic efficiency and the number of patents, electronic computers and office equipments is relatively the most efficient, secondly medical and pharmaceutical products, medical treatment instrument and meter, thirdly electron and communicate equipments, and aviation and aircrafts manufacturing is relatively the least efficient.

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References

  1. Farrell, M.J.: The measurement of productive efficiency. Journal of Royal Statical Society Series A, General 120, 253–281 (1957)

    Article  Google Scholar 

  2. Boles, J.N.: Efficiency Squared - Efficient Computation of Efficiency Proceedings of the 39th Annual Meeting of the Western Farm Economic Association, pp.137–142 (1966)

    Google Scholar 

  3. Afriat, S.N.: Efficiency Estimation of Production Functions. International Economic Review 13, 568–598 (1972)

    Article  MATH  MathSciNet  Google Scholar 

  4. Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the Efficiency of Decision Making Units. European Journal of Operational Research (2), 429–444 (1978)

    Google Scholar 

  5. Banker, R.D., Charnes, A., Cooper, W.W.: Some Models for Esimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science (30), 1078–1092 (1984)

    Google Scholar 

  6. Zhang, M., Yin, X.: Research and empirical analysis of regional innovation performance based on DEA model. In: Proc. IEEE Symp. 2009 Chinese Control and Decision Conference (CCDC 2009), pp. 3579–3583. IEEE Computer Society (June 2009), doi:10.1109/CCDC.2009.5192652

    Google Scholar 

  7. Ma, X., Zheng, S.: Review and Outlook of the Efficiency of Regional Cultural Industry. Economic Perspectives (3), 83–86 (2010)

    Google Scholar 

  8. Hu, Y., Wu, X.: Understanding of the definition of high-tech industry. Technology Economics (3), 23–25 (2001)

    Google Scholar 

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Correspondence to Zhang Minghong .

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Minghong, Z., Xinke, Y. (2012). Research of the Efficiency of High-Tech Industry Based on DEA Model: Evidence from China. In: Hu, W. (eds) Advances in Electric and Electronics. Lecture Notes in Electrical Engineering, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28744-2_42

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  • DOI: https://doi.org/10.1007/978-3-642-28744-2_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28743-5

  • Online ISBN: 978-3-642-28744-2

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