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Market Structure, Learning and Product Innovation: Evidence for the EPROM Market

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  • Harald Gruber

Abstract

The study analyses the market for semiconductor memory chips, in particular EPROMs. Semiconductors are very interesting industry for studying empirically the dynamics of innovation. Given the short product life cycles of generations of chips, the market dynamics unfold much more rapidly than in other industries and are therefore better amenable to empirical observation. One of the aims is to shed more light on the link between learning and the dynamics of product innovation, as well as their influence on market structure. Learning with an old generation turns out to be an important determinant for product innovation. The further down the firm has moved on the learning curve, the higher its market share, and the larger becomes the probability that the firm is an early innovator. The results are consistent with the persistence of leadership hypothesis.

Suggested Citation

  • Harald Gruber, 1995. "Market Structure, Learning and Product Innovation: Evidence for the EPROM Market," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 2(1), pages 87-101.
    • Handle: RePEc:taf:ijecbs:v:2:y:1995:i:1:p:87-101
    DOI: 10.1080/758521098
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    References listed on IDEAS

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    1. Laura D'Andrea Tyson, 1992. "Who's Bashing Whom? Trade Conflict in High-Technology Industries," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 86, October.
    2. Giovanni Dosi, 1984. "Technical Change and Industrial Transformation," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-17521-5.
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    Cited by:

    1. Bohlin, Anders & Gruber, Harald & Koutroumpis, Pantelis, 2010. "Diffusion of new technology generations in mobile communications," Information Economics and Policy, Elsevier, vol. 22(1), pages 51-60, March.
    2. Liu, Wen-Hsien & Chyi, Yih-Luan, 2006. "A Markov regime-switching model for the semiconductor industry cycles," Economic Modelling, Elsevier, vol. 23(4), pages 569-578, July.
    3. Gruber, Harald, 2000. "The evolution of market structure in semiconductors: the role of product standards," Research Policy, Elsevier, vol. 29(6), pages 725-740, June.
    4. Stefan Behringer, 2014. "Network Effects, Spillovers and Market Structure," Manchester School, University of Manchester, vol. 82(2), pages 143-159, March.
    5. John Sutton, 1996. "Game Theoretical Models of Market Structure," STICERD - Economics of Industry Papers 15, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    6. Susmita Chatterjee & Bibek Ray Chaudhuri & Debabrata Datta, 2012. "An Investigation into the Prospect of 3G Adoption in Kolkata: A Structural Equation Modeling Approach," Working Papers 1214, Indian Institute of Foreign Trade.

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    More about this item

    Keywords

    Semiconductor industry; Product innovation; Learning curve; JEL classifications: L63; O31;
    All these keywords.

    JEL classification:

    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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