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A Dynamic Analysis of Cooperative Research in the Semiconductor Industry

Author

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  • Minjae Song

    (School of Economics Georgia Institute of Technology)

Abstract

The paper has two objectives. The first is to construct a dynamic model of research joint ventures (RJVs) in which firms competing in the product market cooperate in investing to improve generic manufacturing technology. The second objective is to analyze cooperative research led by SEMATECH in the semiconductor industry using the dynamic model. The estimation consists of two stages. In the first stage, consumer demand is estimated using product level data, and state variables are constructed to reflect a technological advance and an evolution of firms' competitiveness in the product market. In the second stage, research expenditure level and firms' value functions are computed for every combination of the state variables as solutions to the dynamic model. I also compute firms' research expenditures for competitive research by making firms unilaterally invest in research. The results show that in RJVs firms' research expenditures go down to one fifth of what they would spend in competitive research. Lower research expenditure results in higher net profits in RJVs, although variable profits are similar in all regimes. RJVs are also more likely to generate higher consumer surplus than competitive research. This is because, while consumers benefit from more frequent introductions of higher quality products in competitive research, they occasionally pay higher prices than they do in RJVs for the same quality products. The net effect is that consumers are hurt more by higher price in competitive research than by less frequent introductions of new products in RJVs. Firms also make different research decisions for the same changes in the product market conditions, depending on whether they cooperate or compete in research

Suggested Citation

  • Minjae Song, 2006. "A Dynamic Analysis of Cooperative Research in the Semiconductor Industry," 2006 Meeting Papers 468, Society for Economic Dynamics.
    • Handle: RePEc:red:sed006:468
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    Cited by:

    1. Linli Xu & Jorge M. Silva-Risso & Kenneth C. Wilbur, 2018. "Dynamic Quality Ladder Model Predictions in Nonrandom Holdout Samples," Management Science, INFORMS, vol. 64(7), pages 3187-3207, July.
    2. Hall, Joshua & Laincz, Christopher, 2012. "Optimal R&D Subsidies with Heterogeneous Firms in a Dynamic Setting," School of Economics Working Paper Series 2012-13, LeBow College of Business, Drexel University.
    3. Samano, Mario & Santugini, Marc, 2020. "Long-run market configurations in a dynamic quality-ladder model with externalities," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    4. Joao Macieira, 2010. "Oblivious Equilibrium in Dynamic Discrete Games," 2010 Meeting Papers 680, Society for Economic Dynamics.
    5. Christopher A. Laincz & Ana Rodrigues, 2006. "The Impact of Cost Reducing R\&D Spillovers on the Ergodic Distribution of Market Structures," Computing in Economics and Finance 2006 307, Society for Computational Economics.
    6. Ulrich Doraszelski & Kenneth L. Judd, 2019. "Dynamic stochastic games with random moves," Quantitative Marketing and Economics (QME), Springer, vol. 17(1), pages 59-79, March.
    7. Joao Macieira, 2007. "Extending the Frontier: A Structural Model of Investment and Technological Competition in the Supercomputer Industry," Working Papers e07-10, Virginia Polytechnic Institute and State University, Department of Economics.
    8. Ronald Goettler & Brett Gordon, 2014. "Competition and product innovation in dynamic oligopoly," Quantitative Marketing and Economics (QME), Springer, vol. 12(1), pages 1-42, March.
    9. Ron Borkovsky & Ulrich Doraszelski & Yaroslav Kryukov, 2012. "A dynamic quality ladder model with entry and exit: Exploring the equilibrium correspondence using the homotopy method," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 197-229, June.
    10. Christopher Laincz, 2009. "R&D subsidies in a model of growth with dynamic market structure," Journal of Evolutionary Economics, Springer, vol. 19(5), pages 643-673, October.
    11. Naoto Aoyama & Emilson C.D. Silva, 2017. "Asymmetric Innovation Agreements under Environmental Regulation," CESifo Working Paper Series 6782, CESifo.
    12. Naoto Aoyama & Emilson Caputo Delfino Silva, 2022. "Endogenous Abatement Technology Agreements under Environmental Regulation," Games, MDPI, vol. 13(2), pages 1-30, April.
    13. Doraszelski, Ulrich & Kryukov, Yaroslav & Borkovsky, Ron N., 2009. "A Dynamic Quality Ladder Model with Entry and Exit: Exploring the Equilibrium Correspondence Using the Homotopy Method," CEPR Discussion Papers 7560, C.E.P.R. Discussion Papers.
    14. Gabriel Y. Weintraub & C. Lanier Benkard & Benjamin Van Roy, 2010. "Computational Methods for Oblivious Equilibrium," Operations Research, INFORMS, vol. 58(4-part-2), pages 1247-1265, August.

    More about this item

    Keywords

    Research Joint Venture; Dynamic Model of Oligopoly Market; Product Innovation;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment

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