Research on R&D investment decision making under uncertainty of technology and price

被引：0

作者：

Wu L. ^{[1
]}

Cao G. ^{[2
]}

机构：

[1] Big Data Decision Institute (BDDI), Jinan University, Guangzhou

[2] School of Economics and Business Administration, Chongqing University, Chongqing

来源：

| 1720年 / Systems Engineering Society of China卷 / 37期

关键词：

Optimal strategy; Price risk; R&D investment; R&D/termination threshold; Technical risk;

D O I：

10.12011/1000-6788(2017)07-1720-07

中图分类号：

学科分类号：

摘要：

With the rapid development of science and technology, research and development (R&D) is an important activity for the survival and development of enterprises. There are two kinds of risks in the enterprise R&D investment projects, they are the technology risk which can not be hedged, and the price risk, which is due to the uncertainty of price and demand when the R&D products are put into the market, while the price risk can be partially hedged. Considering an R&D innovation enterprise, how to carry out investment and consumption problems. By establishing the utility maximization model, and using the methods of stochastic optimal control, the optimal strategy for the exponential utility function can be obtained, and this paper also expounds the R&D value and its investment/termination threshold. Numerical results show that the greater technical risk will produce the greater value of information generation, which making the total value of R&D is not reduced but increased; Risk aversion has a significant impact on R&D value and R&D/termination threshold; Due to the existence of the value of R&D information generation, the R&D/termination threshold is different from the threshold which makes the traditional net present value (NPV) equal to zero. © 2017, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.

引用

页码：1720 / 1726

页数：6

共 20 条

[1] Schumpeter J.A., Capitalism, Socialism and Democracy, (2003)
[2] Aghion P.H., Howitt P., A model of growth through creative destruction, Econometrica, 60, 2, pp. 323-351, (1992)
[3] George L., The economic assessment of research and development, Management Science, 16, 1, pp. 40-41, (1969)
[4] Hsieh P.H., Mishra C.S., Gobeli D.H., The return on R&D versus capital expenditures in pharmaceutical and chemical industries, IEEE Transactions on Engineering Management, 50, 2, pp. 141-150, (2003)
[5] David P.A., Hall B.H., Toole A.A., Is public R&D a complement or substitute for private R&D? A review of the econometric evidence, Research Policy, 29, 4, pp. 497-529, (2000)
[6] Czarnitzki D., Licht G., Additionality of public R&D grants in a transition economy, Economics of Transition, 14, 1, pp. 101-131, (2006)
[7] Hall L.A., Bagchi-Sen S., A study of R&D, innovation, and business performance in the Canadian biotechnology industry, Technovation, 22, 4, pp. 231-244, (2002)
[8] Arrow K.J., The economic implications of learning by doing, The Review of Economic Studies, pp. 155-173, (1962)
[9] Zhang T.B., Gao T.M., Influences of R&D accumulation, knowledge spillover effects and spatial interactions on output of high-tech industry in China, Systems Engineering - Theory & Practice, 34, 7, pp. 1739-1749, (2014)
[10] Feng Z.J., Chen W., R&D innovation efficiency of Chinese high-tech industries - Based on two-stage network DEA model with constrained resources, Systems Engineering - Theory & Practice, 34, 5, pp. 1203-1213, (2014)

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