Abstract
These This paper selects 455 manufacturing firms in Shanghai and Shenzhen Stock Exchanges from 2007 to 2011 as study object, establishes a modified Cobb-Douglas production function, and empirically tests the cumulative effect of R&D investment performance using OLS regression analysis. The result suggests that there exists a significant cumulative effect in enterprise’s R&D investment performance. From 2007 to 2010, R&D investment has a significant promotion effect on enterprise performance, and the cumulative effect is the largest in the forth year; however, the promotion effect is not significant in 2011.
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References
Bitzer J, Kerekes M (2008) Does foreign direct investment transfer technology across borders? New evidence. Econ Lett 100(3):355–358
Branstetter LC, Sakakibara M (2002) When do research consortia work well and why? Evidence from Japanese panel data. Empir Econ 92(3):143–159
Brown J, Petersen BC (2011) Cash holdings and R&D smoothing. J Corp Financ 17(3):694–709
Cobb C, Douglas PH (1928) A theory of production. Am Econ Rev 18(1):139–165
Czarnitzki D, Hottenrott H (2011) R&D investment and financing constraints of small and medium-sized firms. Small Bus Econ 36(1):65–83
Fan G, Wang X, Zhu H (2011) NERI index of marketization of China’s provinces 2011 report. Economic Science Press, Beijing, pp 1–427
Gamer JL, Nam J, Ottoo RE (2002) Determinants of corporate growth opportunities of emerging firms. J Econ Bus 54(1):73–93
Griliches Z (1986) Productivity, R&D, and basic research at the firm level in the 1970s. Am Econ Rev 76(1):141–154
Lee T (2011) Do government policies affect growth? Examining a model with R&D and factor accumulation. Res Econ 65(1):62–70
Li D (2011) Financial constraints, R&D investment, and stock returns. Rev Financ Stud 24(9):2974–3007
Li Z, Zhou Q (2012) R&D investment, R&D efficiency and enterprise performance under the restriction of endogenous – the sample of high-tech segment industries of China. Soft Sci 26(7):11–14 (in Chinese)
Liang LX, Jin Y, Zhao N (2010) Study on the relationship between R&D and enterprise performance based on enterprise life cycle: empirical research in listed firm. Sci Sci Manag S & T 31(12):1–17 (in Chinese)
Markides C (1999) Dynamic view of strategy. Sloan Manag Rev 40(3):155–163
Tronconi C, Marzetti GV (2011) Organization capital and firm performance: empirical evidence for European firms. Econ Lett 112(2):141–143
Wang EC (2007) R&D efficiency and economic performance: a cross-country analysis using the stochastic frontier approach. J Policy Model 29(2):345–360
Wang YC, Guo YY (2008) An empirical study on R&D input and output efficiency of listed companies. Ind Econ Res 6:44–52 (in Chinese)
Young D, Byrne SO (2000) Eva and value-based management: a practical guide to implementation. McGraw-Hill Press, New York, pp 15–60
Zhu YW, Xu KN (2007) The influence of cumulation of R&D capital on productivity growth – a test on Chinese high-tech industries (1996–2004). China Soft Sci 7:57–67 (in Chinese)
Acknowledgment
This work was financially supported by the National Natural Science Foundation of China (70772087, 71172136). Thanks to the supporting coming from the Dalian University of Technology and Shenyang Open University.
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Zhao, Xg. (2013). Study on Cumulative Effect of R&D Investment Performance of Chinese Listed Companies – Empirical Analysis Based on Modified Cobb-Douglas Production Function. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 20th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40072-8_19
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DOI: https://doi.org/10.1007/978-3-642-40072-8_19
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