Considering the role of science and technology intermediary institutions
in the transformation of technological achievements, this paper studies the
transformation efficiency and influencing factors of high-tech enterprises’
technological achievements in various provinces of China. Firstly, the DEA-BCC
model is used to analyze the transformation efficiency of technological
achievements of high-tech enterprises in 27 provinces of China. Then, the T
test tests the significance of the factors affecting the efficiency of
technological achievements. The study found that the transformation efficiency
of high-tech industrial technology achievements in 5 provinces including Beijing at
the frontier of efficiency; the main factors affecting the transformation
efficiency of high-tech enterprises in different provinces are not the same,
but the science and technology intermediary institution is the key factors
affecting the efficiency. Comprehensively, the cost of technological
transformation and the impact of new product development costs on the
efficiency of technological achievements transformation are not significant.
References
[1]
Lee, W.M. and Zhang, Y. (2016) Evaluation and Countermeasures of Technological Innovation Competitiveness in Northeast China. Journal of Liaoning University (Philosophy and Social Science Edition), 44, 90-97.
[2]
Qian, L., Xiao, R.Q. and Chen, Z.W. (2015) Research on Innovation Efficiency and Regional Differences of Green Technology in China’s Industrial Enterprises—Based on Common Frontier Theory and DEA Model. Economic Theory and Economic Management, 35, 26-43.
[3]
Liu, S.Z. and Guan, J.C. (2002) Evaluation of Innovation Performance of Regional Innovation System. China Management Science, 10, 75-78.
[4]
Guo, S.F. and Zhang, J. (2018) Comparison of Technology Innovation Efficiency and Input Redundancy in 31 Provinces and Cities in China. Scientific Research Management, 39, 55-63.
[5]
Wu, Y.B. (2006) R & D Stock, Knowledge Function and Production Efficiency. Economics (Quarterly), 5, 1129-1156.
[6]
Bai, J.H. and Li, J. (2011) Empirical Analysis of Government R & D Funding and Enterprise Technology Innovation Based on Efficiency Perspective. Financial Research, 6, 181-193.
[7]
Liu, M.F. and Li, S.H. (2016) Research on the Innovation Efficiency of China’s High-Tech Development Zones Based on the Three-Stage DEA Model. Management Review, 28, 142-155.
[8]
Guan, J.C. and He, Y. (2005) Evaluation of Regional Innovation System Based on DEA Method. Studies in Science of Science, 23, 265-272.
[9]
Han, B. and Su, Y. (2018) Research on Technology Innovation Performance of High-Tech Enterprises Based on Two-Stage DEA. Scientific Research Management, 39, 11-19.
[10]
Yu, Y.C., Gu, X. and Chen, Y.J. (2017) “Black Box” Deconstruction and Efficiency Evaluation of Industry-University-Research Technology Transfer. Scientific Research Management, 38, 28-37.
[11]
Zheng, J. and Ding, Y.L. (2008) Analysis of the Marginal Revenue Characteristics and Efficiency of Technological Innovation in High-Tech Industry. Studies in Science of Science, 26, 1090-1097.
[12]
Yu, W.J. (2015) Research on the Innovation Efficiency and Influencing Factors of Regional High-Tech Industries Based on Two-Stage Serial DEA. Research and Development Management, 27, 137-145.
[13]
Li, H.X. and Chi, G.T. (2016) Evaluation of the Efficiency of Technological Innovation Based on Enterprises Based on DEA-T Test. China Management Science, 24, 109-119.
[14]
Yu, Y.B. and Liu, L.Y. (2016) Analysis of China’s Urban Environmental Performance and Its Influencing Factors. Management World, 11, 176-177.
[15]
Jiang, R.A., Gao, C.L. and Feng, G.F. (2013) Research on the Evaluation of Technology Resource Utilization Efficiency of Chinese Research Institutions. Statistical Research, 30, 19-29.
[16]
Shen, N. and Zhou, J.J. (2018) Research on the Efficiency and Key Factors of Green Innovation in China from the Perspective of Technology Heterogeneity: Based on Hybrid DEA and Structured Equation Model. Journal of Management Engineering, 4, 46-53.
[17]
He, D.F. (2011) Discrimination and Reflection on Some Basic Concepts of Scientific and Technological Achievements and Their Transformation. China Soft Science, 11, 1-7.
[18]
Charnes, A. and Cooper, W.W. (1978) Rhodes E. Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2, 429-444.
https://doi.org/10.1016/0377-2217(78)90138-8
[19]
Banker, R.D., Charnes, A. and Cooper, W.W. (1984) Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30, 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
[20]
Charnes, A., Cooper, W.W., Golany, B. and Seiford, L. (1985) Foundation of Data Envelopment Analysis for Pareto-Koopmans Efficient Empirical Production Functions. Journal of Econometrics, 30, 91-107.
https://doi.org/10.1016/0304-4076(85)90133-2
[21]
Kou, M., Chen, K., Wang, W. and Shao, Y. (2016) Measuring Efficiencies of Multi-Period and Multi-Division Systems Associated with DEA: An Application to OECD Countries’ National Innovation Systems. Expert Systems with Applications, 46, 494-510. https://doi.org/10.1016/j.eswa.2015.10.032
[22]
Lu, W.M. and Qian, L.K. (2014) Intellectual Capital and National Innovation Systems Performance. Knowledge-Based Systems, 71, 201-210.
https://doi.org/10.1016/j.knosys.2014.08.001
[23]
Sueyoshi, T. and Goto, M. (2014) Environmental Assessment for Corporate Sustainability by Resource Utilization and Technology Innovation: DEA Radial Measurement on Japanese Industrial Sectors. Energy Economic, 46, 295-307.
https://doi.org/10.1016/j.eneco.2014.09.021
[24]
Goto, M., Otsuka, A. and Sueyoshi, T. (2014) DEA Assessment of Operational and Environmental Efficiencies on Japanese Regional Industries. Energy, 66, 535-549.
https://doi.org/10.1016/j.energy.2013.12.020
[25]
Shen, N. and Wang, Q.W. (2013) Spatial Model of China’s Energy Efficiency and Differentiated Energy Saving Paths—Analysis Based on DEA Three Stage Model. System Science and Mathematics, 33, 457-467.
[26]
Wei, Q.L. (2004) Data Envelope Analysis. Science Press, Beijing.
[27]
Liu, X.Z., Huang, J. and Wang, Y. (2017) Analysis of Energy Efficiency in Iron and Steel Industry Based on DEA Cross Efficiency Model. World of Management, 10, 182-183.
[28]
Wang, F. and Li, H. (2013) Evaluation of Regional Technology Transfer Efficiency in China Based on DEA. Science Research Management, 1, 153-160.
[29]
Zheng, Z., Yang, R.Y. and Ji, Q.Q. (2017) Fifteen-Year Review and Prospect of Domestic and Foreign Research Literature on Enterprise Innovation Performance. China Technology Forum, 3, 73-80.
[30]
Zhang, J.X. (2010) Measurement of the Development Degree of China’s Technology Market. Scientific Research Management, 31, 79-89.
[31]
Bai, J.H., Jiang, K.S. and Li, J. (2009) Analysis of the Environmental Impact Factors of Regional Innovation Efficiency—An Empirical Test Based on the Two-Step Method of DEA-Tobit. Research and Development Management, 21, 96-101.
[32]
Editorial Board of China Innovative Enterprise Development Report (2015) 2013-2014 China Innovative Enterprise Development Report. Economic Management Press, Beijing.
[33]
Zhang, X.M., Wang, Y.M. and Shi, H.L. (2018) Research on Optimal Allocation of Key Resources of Innovative Enterprises from the Perspective of Efficiency. Science Research Management, 5, 103-111.
[34]
Chai, W., Shen, W. and Mao, Y.L. (2015) Research on Performance Evaluation of Technology Innovation of Resource-Based Enterprises in China Based on DEA. Science Research Management, 36, 28-34.
[35]
Li, M.N. (2017) Research on the Evaluation Model of Innovation Efficiency Based on the Decoupling Perspective of “R & D-Transformation”. Science of Science and Technology Management, 38, 50-67.
[36]
Fan, H. and Zhou, D.Q. (2012) Research on the Evolution of Technological Innovation Efficiency and Its Influencing Factors in China. Science Research Management, 33, 10-18.
[37]
Golany, B. and Roll, Y. (1989) An Application Procedure for DEA. Omega, 17, 237-250. https://doi.org/10.1016/0305-0483(89)90029-7
[38]
Xie, Z.Y. (2011) Research on the Influencing Factors of National High-Tech Innovation Efficiency. Science Research Management, 32, 52-58.
[39]
Gong, F. (2008) Assessment of the Efficiency of Local Public Safety Service Supply—An Empirical Study of the Bootstrapped DEA Based on Four-Stage DEA. Management World, 4, 80-90.
