Abstract
This paper explores the optimal expenditure rate that a firm should employ to develop a new technology and pursue the registration of the related patent. Our model takes into account an economic environment with indus-trial competition among firms operating in the same sector and in presence
of uncertainty in knowledge accumulation. We develop a stochastic optimal control problem with random horizon, and solve it theoretically by adopting a dynamic programming approach. An extensive numerical analysis suggests that the optimal expenditure rate is a decreasing function in time and its sen-sitivity to uncertainty depends on the stage of the race. The odds for the firm to preempt the rivals non-linearly depend on the degree of competition in the market.
Original language | English |
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Pages (from-to) | 296-309 |
Journal | Journal of Optimization Theory and Applications |
DOIs | |
Publication status | Published - Jan 2016 |
Externally published | Yes |
Keywords
- Expenditure rate
- Hamilton-Jacobi-Bellman equation
- Patent race
- R & D
- Stochastic control problem