SPECIAL ISSUE PAPER
Innovation Performance and Influencing Factors of Expansive Listed Companies
Zhefan Piao 1
,  
Zhaohua Xiao 1
,  
Binbin Miao 1
,  
Rongda Chen 1  
 
 
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School of Finance, Zhejiang University of Finance & Economics, Hangzhou 310018, CHINA
Online publish date: 2017-11-16
Publish date: 2017-11-16
 
EURASIA J. Math., Sci Tech. Ed 2017;13(12):7755–7769
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This article belongs to the special issue "Problems of Application Analysis in Knowledge Management and Science-Mathematics-Education".
ABSTRACT
The super efficiency DEA model and panel Tobit model were used in this study to conduct empirical research on innovation performance and its influencing factors in expansive companies based on patent and annual report data for A-shares, dilated listed companies in China from 2009 to 2015. Our results suggest that innovation performance in Chinese listed companies is generally stagnating at a low level, but scores for computer, communications equipment, electrical machinery, chemical, and pharmaceutical industries are high. There are significant differences in innovation performance between internal and external expansion companies. The internal expansion scale shows a significant negative correlation with innovation performance, while there is a “U” shaped nonlinear relationship between external expansion and innovation performance; the turning point appears when the external expansion scale is 0.2, that is, it is significantly negative to innovation performance below 0.2 (and vice versa). Firm age, firm size, executive pay, average age of executives, and depreciation have a negative impact on innovation performance, while equity concentration, capital intensity, and financial leverage have a positive impact on innovation performance.
 
REFERENCES (36)
1.
Acharya, V. V., & Subramanian, K. V. (2007). Bankruptcy Codes and Innovation. Ssrn Electronic Journal, 22(12), 4949-4988.
 
2.
Aghion, P., & Tirole, J. (1994). Formal and Real Authority in Organizations. Working Papers, 105(1), 1-29.
 
3.
Becker-Blease, J. R. (2011). Governance and innovation. Journal of Corporate Finance, 17(4), 947-958.
 
4.
Bena, J., & Li, K. (2014). Corporate Innovations and Mergers and Acquisitions. Journal of Finance, 69(5), 1923-1960.
 
5.
Cameron, G., Proudman, T., & Redding, S. (2005). Technological Convergence, R&D, Trade and Productivity Growth. European Economic Review, 49(3), 519-530.
 
6.
Chava, S., Oettl, A., Subramanian, A., & Subramanian, K. V. (2013). Banking deregulation and innovation. Journal of Financial Economics, 109(3), 759-774.
 
7.
Chen, J., & Liu, Z. (2011). The impact of technological hyperlearning on innovation performance under the open innovation pattern. Engineer Management, 25(4), 1-7.
 
8.
Chen, R. D., Wang, Z., & Yu, L. A. (2017). Importance Sampling for Credit Portfolio Risk with Risk Factors Having t-Copula. International Journal of Information Technology & Decision Making, 16(4), 1101–1124.
 
9.
d’Artis, K., & Siliverstovs, B. (2016). R&D and non-linear productivity growth. Research Policy, 45, 634–646.
 
10.
Deng, Z., Lev, B., & Narin, F. (2006). Science and Technology as Predictors of Stock Performance. Financial Analysts Journal, 55(3), 20-32.
 
11.
Griliches, Z. (1986). Productivity, R&D and Basic Research at Firm Level in the 1970s. American Economic Review, 76(1), 141-54.
 
12.
Gunawan, S., & Shieh, C. J. (2016). A Study on the Effects of Knowledge Share in Virtual Community on Creative Teaching Behaviors and Teacher Efficacy. Eurasia Journal of Mathematics, Science & Technology Education, 12(4), 1101-1113.
 
13.
Hagedoorn, J., & Cloodt, M. (2003). Measuring innovative performance: is there an advantage in using multiple indicators? Research Policy, 32(8), 1365-1379.
 
14.
Hu, X. F., & Wu, X. M. (2015). Merge and acquisition, absorptive capacity, and enterprises innovation performance—an experimental data analysis of Chinese listed medicine companies. Jiangsu social science, 2, 25-32.
 
15.
Jiang, F. X., Zhang, M., & Liu, Z. B. (2008). M&A or self -investment: A Study on the expansion choice of Chinese Listed Companies. The journal of world economy, 8, 77-84.
 
16.
Jiang, F. X., Zhang, M., & Lu, Z. F. (2009). Managerial overconfidence, corporate expansion and financial distress. Economic Research Journal, 1, 131-143.
 
17.
Karim, S., & Mitchell, W. (2004). Innovating through acquisition and internal development: A quarter-century of boundary evolution at Johnson & Johnson. International Journal of Developmental Biology, 37(6), 525-547.
 
18.
Li, H. X., & Chi, G. T. (2016). The science and technology innovation efficiency evaluation employing DEA-t test based on the enterprise as the main subject. China Management Science, 26(11), 109-119.
 
19.
Li, W. J., & Zheng, M. N. (2016). Substantial Innovation or Strategic Innovation?-The Impact of Macro Industry Policy on Micro Enterprise Innovation. Economic Research Journal, 4, 60-73.
 
20.
Liu, X. Q., Lin, Z. J., Sun, F. C., & Chen, H. W. (2015). The Impact of Financing Constraint and Agency Cost on R&D Investment in Enterprises-Based on Empirical Evidence from Listed Companies in China. Accounting Research, 11, 62-68.
 
21.
Mao, D. F., Li, J., Peng, F., & Luo, Z. Q. (2013). R&D input and cooperate TFP: An empirical test based on PSM and GPM methods. Journal of finance and economics, 4, 134-144.
 
22.
Odeck, J., & Brathen, S. (2012). A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models. Transportation Research Part A: Policy and Practices, 46(10), 1574-1585.
 
23.
Richardson, S. (2006). Over-Investment of Free Cash Flow. Review of Accounting Studies, 11(2), 159-189.
 
24.
Romijn, H, & Albaladejo, M. (2002). Determinants of innovation capability in small electronics and software firms in southeast England. Research Policy, 31(7), 1053-1067.
 
25.
Seru, A. (2014). Firm boundaries matter: Evidence from conglomerates and R&D activity. Journal of Financial Economics, 111(2), 381-405.
 
26.
Sueyoshi, T., & Goto, M. (2013). A use of DEA-DA to measure importance of R&D expenditure in Japanese information technology industry. Decision Support Systems, 54(2), 941-952.
 
27.
Tan, Y., Tian, X., Zhang, C., & Zhao, H. (2014). Privatization and Innovation: Evidence from a Quasi-Natural Experience in China. Social Science Electronic Publishing, 5(2), 15-36.
 
28.
Tang, Q. Q., & Wu, C. (2014). Research on the enterprises’ inside & outside R&D investment based on synergistic effect and innovation performance. Journal of management and science, 5, 12-23.
 
29.
Tong, T. W., He, W., He, Z. L., & Lu, J. (2014). Patent Regime Shift and Firm Innovation: Evidence from the Second Amendment to China’s Patent Law. Academy of Management Annual Meeting Proceedings, 14(1), 174-194.
 
30.
Tsai, I. C., & Lei, H. S. (2016). The Importance and Satisfaction of Collaborative Innovation for Strategic Entrepreneurship. Eurasia Journal of Mathematics, Science & Technology Education, 12(3).
 
31.
Valentini, G. (2012). Measuring the effect of M&A on patenting quantity and quality. Strategic Management Journal, 33(3), 336-346l.
 
32.
Wen, C. Y., & Liu, Z. X. (2011). The impact of technology M&A on innovation performance of high tech listed companies. Science research management, 32(5), 1-7.
 
33.
Xiong, F., Zheng, Q., & Tang, B. J. (2012). The efficiency of technology innovation in the high-tech enterprises based on DEA: an empirical analysis of Fengtai Technology Park. Chinese Journal of Management Science, 20(11), 696-701.
 
34.
Ye, L., & Wang, Y. X. (2013). Managerial overconfidence, corporate investment and firm performance: An Empirical Study Based on A share listed companies in China. Journal of Shanxi university finance and economics, 1, 116-124.
 
35.
Yuan, J. G, Cheng, C., & Hou, J. S. (2015). Enviromental uncertainty and firm technological innovation evidence from Chinese listed firms. Management Review, 27(10), 60-69.
 
36.
Zhu, P. F., Xiang, G. D., & Wang, Y. S. (2016). R&D spill-over effects: evidence from Chinese industrial sectors. Economic Research, 11, 44-55.
 
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