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 AJIBM  Vol.4 No.5 , May 2014
Study on Efficiency Optimization of R&D Resources Allocation in Shanghai
Abstract: Based on the R&D activities of Shanghai’s high-tech industries during 2010 to 2012, this paper uses super efficiency DEA model to analyze and evaluate the R&D efficiency of Shanghai’s high-tech industries. The results show that the R&D efficiency of Shanghai’s high-tech industries has dissimilitude. The R&D efficiency values of some high-tech industries are relatively low. There are many redundancies of R&D personnel input. The input and output structure needs to be optimized. Based on this, the paper summarizes the problems in the R&D activities of Shanghai’s high-tech industries and puts forward some countermeasures.
Cite this paper: Li, H. and Hu, B. (2014) Study on Efficiency Optimization of R&D Resources Allocation in Shanghai. American Journal of Industrial and Business Management, 4, 217-222. doi: 10.4236/ajibm.2014.45029.
References

[1]   Hansen, K.F., Weiss, M.A. and Kwak, S. (1999) Allocation R&D Resources: A Quantitive Aid to Management Insight. Research Technology Management. Research-Technology Management, 42, 44-50.

[2]   Cooper, W.W. (2000) Data Envelopment Analysis. Kluwer Academic Publishers, Norwell.

[3]   Shen, Z.H. (1996) DEA Theory, Method and Application. Science Press, Beijing.

[4]   Wei, Q.L. (2004) Data Envelopment Analysis. Science Press, Beijing.

[5]   Hu, B. (2009) An Empirical Study on R&D Efficiency of Various Chinese Cities Based on Improved DEA. Industrial Technology & Economy, 8.

[6]   Hu, B. and Li. H.X. (2013) Longitudinal Comparative Analysis of Shanghai’s Industrial Enterprises’ R&D Resource Allocation Efficiency. Proceedings of International Conference on Complex Science Management and Education Science, Kunming, 23-24 November 2013.

[7]   Hu, X.M. and Li X.M. (2012) An Empirical Study on R&D Efficiency of Large and Medium-sized Enterprise of Chinese High-tech Industry Based on DEA Model. Philosophy and Social Sciences, 3.

[8]   Dong, J. and Zhang, T.W. (2012) Study on Efficiency Optimization of R&D Resources Allocation in Yangtze River Delta. Science & Technology Progress and Policy, 11.

[9]   Fan, L.J., Chen, Y.E. and Li, N. (2010) The Impact of R&D on Technical Efficiency of High-tech Industries in China. R&D Management, 6.

[10]   Feng, J.Y. and Shi, L.P. (2012) Study on R&D Efficiency and Model of Regional High-tech Industry in China. Science & Technology Progress and Policy, 11.

[11]   Zhong, H. (2011) An Empirical Analysis on Chinese R&D Input-output Efficiency. Journal of Chongqing University (Social Science Edition).

[12]   Mu, Z.R. (2012) Evaluation on R&D Input Performance of Beijing Based on Super-Efficiency DEA Model. Science & Technology Progress and Policy, 5.

[13]   Li, H.L. (2013) Evaluation on R&D Efficiency of Large and Medium Enterprises Based on DEA. Science and Technology Management Research, 4.

[14]   NBS (From Year 1996 to 2012) Shanghai Statistical Yearbook. China Statistics Press, Beijing.

[15]   STCSM, NBS (From Year 1996 to 2012) Shanghai Statistical Yearbook on Science and Technology. Shanghai Popular Science Press, Shanghai.

[16]   [1] Hansen, K.F., Weiss, M.A. and Kwak, S. (1999) Allocation R&D Resources: A Quantitive Aid to Management Insight. Research Technology Management. Research-Technology Management, 42, 44-50.

[17]   [2] Cooper, W.W. (2000) Data Envelopment Analysis. Kluwer Academic Publishers, Norwell.

[18]   [3] Shen, Z.H. (1996) DEA Theory, Method and Application. Science Press, Beijing.

[19]   [4] Wei, Q.L. (2004) Data Envelopment Analysis. Science Press, Beijing.

[20]   [5] Hu, B. (2009) An Empirical Study on R&D Efficiency of Various Chinese Cities Based on Improved DEA. Industrial Technology & Economy, 8.

[21]   [6] Hu, B. and Li. H.X. (2013) Longitudinal Comparative Analysis of Shanghai’s Industrial Enterprises’ R&D Resource Allocation Efficiency. Proceedings of International Conference on Complex Science Management and Education Science, Kunming, 23-24 November 2013.

[22]   [7] Hu, X.M. and Li X.M. (2012) An Empirical Study on R&D Efficiency of Large and Medium-sized Enterprise of Chinese High-tech Industry Based on DEA Model. Philosophy and Social Sciences, 3.

[23]   [8] Dong, J. and Zhang, T.W. (2012) Study on Efficiency Optimization of R&D Resources Allocation in Yangtze River Delta. Science & Technology Progress and Policy, 11.

[24]   [9] Fan, L.J., Chen, Y.E. and Li, N. (2010) The Impact of R&D on Technical Efficiency of High-tech Industries in China. R&D Management, 6.

[25]   [10] Feng, J.Y. and Shi, L.P. (2012) Study on R&D Efficiency and Model of Regional High-tech Industry in China. Science & Technology Progress and Policy, 11.

[26]   [11] Zhong, H. (2011) An Empirical Analysis on Chinese R&D Input-output Efficiency. Journal of Chongqing University (Social Science Edition).

[27]   [12] Mu, Z.R. (2012) Evaluation on R&D Input Performance of Beijing Based on Super-Efficiency DEA Model. Science & Technology Progress and Policy, 5.

[28]   [13] Li, H.L. (2013) Evaluation on R&D Efficiency of Large and Medium Enterprises Based on DEA. Science and Tech-nology Management Research, 4.

[29]   [14] NBS (From Year 1996 to 2012) Shanghai Statistical Yearbook. China Statistics Press, Beijing.

[30]   [15] STCSM, NBS (From Year 1996 to 2012) Shanghai Statistical Yearbook on Science and Technology. Shanghai Popular Science Press, Shanghai.

 
 
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