The R&D value-chain efficiency measurement for high-tech industries in China

This study constructs the research and development (R&D) and operation processes as a value-chain framework, in which R&D results in the successful applications of patents. These patents are then used to generate final outputs in the operation. We introduce an empirical model extended from the value-chain model to compute the R&D and the operation efficiencies for 21 of China’s high-tech businesses in a single implementation. The findings are presented as follows. First, R&D efficiency is not related to operation efficiency. Second, communication businesses have relatively higher performance in R&D and operation efficiencies, whereas electronics and computer businesses have high operation efficiency, but low R&D efficiency. Finally, for improving the efficiencies, the patents that do not effectively create value should be reduced.

[1]  Zvi Griliches,et al.  Productivity and R and D at the Firm Level , 1981 .

[2]  David B. Montgomery,et al.  Technological capabilities and firm performance: The case of small manufacturing firms in Japan , 2007 .

[3]  S. Dutta,et al.  Success in High-Technology Markets: is Marketing Capability Critical? , 1999 .

[4]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[5]  Shiuh-Nan Hwang,et al.  Measuring Managerial Efficiency in Non-Life Insurance Companies: An Application of Two-Stage Data Envelopment Analys , 2006 .

[6]  Zvi Griliches,et al.  R&D, Patents, and Productivity , 1981 .

[7]  Ioannis E. Tsolas,et al.  Evaluation of credit risk based on firm performance , 2010, Eur. J. Oper. Res..

[8]  Joe Zhu,et al.  Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver , 2002 .

[9]  Joe Zhu,et al.  Quantitative models for performance evaluation and benchmarking , 2003 .

[10]  W. W. Daniel.  Applied Nonparametric Statistics , 1979 .

[11]  A. Zhang,et al.  A study of the R&D efficiency and productivity of Chinese firms , 2003 .

[12]  Chiang Kao,et al.  Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan , 2008, Eur. J. Oper. Res..

[13]  Joe Zhu,et al.  A modified super-efficiency DEA model for infeasibility , 2009, J. Oper. Res. Soc..

[14]  William W. Cooper,et al.  Evaluating the information content of a measure of plant output: An application to high-technology manufacturing , 1996, Ann. Oper. Res..

[15]  K. Asakawa,et al.  Internationalization of R&D in China and India: Conventional wisdom versus reality , 2008 .

[16]  Erming Xu,et al.  The impact of state shares on corporate innovation strategy and performance in China , 2008 .

[17]  J. Hagedoorn,et al.  Measuring innovative performance: is there an advantage in using multiple indicators? , 2003 .

[18]  M. Farrell.  The Measurement of Productive Efficiency , 1957 .

[19]  K. K. Sinha,et al.  Toward a theory of project interdependencies in high tech R & D environments , 2002 .

[20]  Albert G Z Hu,et al.  Ownership, Government R&D, Private R&D, and Productivity in Chinese Industry , 2001 .

[21]  Kingshuk K. Sinha,et al.  Chapter 9 Moving frontier analysis: An application of Data Envelopment Analysis for competitive analysis of a high-technology manufacturing plant , 1996, Ann. Oper. Res..

[22]  Danming Lin,et al.  Does knowledge management matter for information technology applications in China? , 2008 .

[23]  L. Seiford,et al.  Profitability and Marketability of the Top 55 U.S. Commercial Banks , 1999 .

[24]  Benjamin B. M. Shao,et al.  Assessing the input effect on productive efficiency in production systems: the value of information technology capital , 2006 .

[25]  Zvi Griliches,et al.  Issues in Assessing the Contribution of Research and Development to Productivity Growth , 1979 .

[26]  Fernando Jiménez-Sáez,et al.  Regional Innovation Systems: How to Assess Performance , 2007 .

[27]  Herbert F. Lewis,et al.  Two-Stage DEA: An Application to Major League Baseball , 2003 .

[28]  Crystal X. Jiang,et al.  Location advantages and subsidiaries’ R&D activities in emerging economies: Exploring the effect of employee mobility , 2007 .

[29]  Yu-Feng Ma,et al.  Technical Efficiency and Productivity Change in China's High- and New-Technology Industry Development Zones , 2005 .

[30]  Joe Zhu,et al.  Measuring Information Technology's Indirect Impact on Firm Performance , 2004, Inf. Technol. Manag..

[31]  R. Färe,et al.  Slacks and congestion: a comment , 2000 .

[32]  Fred Phillips,et al.  DEA and the management of the product cycle: The U.S. computer industry , 1996, Comput. Oper. Res..

[33]  Chenggang Xu,et al.  Soft Budget Constraint and the Optimal Choices of Research and Development Projects Financing , 1998 .

[34]  Edwin Mansfield,et al.  Basic Research and Productivity Increase in Manufacturing , 1980 .

[35]  Her-Jiun Sheu,et al.  INSIDER OWNERSHIP AND FIRM PERFORMANCE IN TAIWAN’S ELECTRONICS INDUSTRY: A TECHNICAL EFFICIENCY PERSPECTIVE , 2005 .

[36]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[37]  Jie Yang,et al.  New product development: An innovation diffusion perspective , 2006 .

[38]  R. Färe,et al.  PRODUCTIVITY AND INTERMEDIATE PRODUCTS: A FRONTIER APPROACH , 1995 .