A Game Theoretical Analysis on R&D Activities
Autor: | Ming Shian Lee, 李明憲 |
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Rok vydání: | 2004 |
Druh dokumentu: | 學位論文 ; thesis |
Popis: | 92 To obtain the key factor of the good market performance, it is not the static competition in existing firms and product market, but depend on new firms who use the new technology, or the real and potential competition of the new products. The firms’ R&D could refer one of the main ways to promote industry''s competitiveness. So, except the long-term profit from the activity of R&D, how to give consideration to the flexible application of R&D strategies, take precautions against the rival''s action, and avoid decreasing the profit, has become the important subject. If the firms use the R&D cooperation to be their R&D strategies, how to make the contract will exist the information asymmetry. So, this research will state the theory of incomplete contract in the contract design how to especially emphasize that outside execution mechanism. By the dynamic R&D game, to analyse the impact factor of firms’ R&D investment in the different competitive situation. This research use the backward induction to get the subgame perfect Nash equilibrium, and analyse the equilibrium under the asymmetric technologies between the firms. One result of this research states that for the information and penalty, a brief contract can make the two firms couldn’t correct the bargaining rule, and get the ex post renegotiation default option and obtain the optimal special investment levels. Another result states under the analysis of R&D competitive effect when two firms have obtain the initial R&D level, the bigger the rival firm invest R&D, the easier the firm find the optimal R&D investment. When there is no spillover, the Nash equilibrium in the first phase of R&D level will decrease with the increasing of ownself R&D cost, and increase with the decreasing of the other firm’s R&D cost. When the spillovers exist, the firm will decrease ownself R&D investment with the rival increase the R&D investment. |
Databáze: | Networked Digital Library of Theses & Dissertations |
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