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Cyclical Dynamics in Three Industries

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  • Hao Tan
  • John A. Mathews

Abstract

In this paper we offer a procedure to identify the industry cycles, and apply the procedure to the industrial data of three industries, namely semiconductors, PCs and FPDs. The identified cycles enable us to conduct two comparison analyses: (1) comparing the cycles with those suggested by industry experts in the corresponding industries; (2) comparing the industry cycles across the three industries. Moreover, we examine the factors possibly contributing to the cyclical dynamics of the industries built on three lines of explanations in the literature. Our vector auto regression (VAR) models establish that the dynamics of aggregate economy and capacity are among the most significant drivers in our semiconductor industry cycle.

Suggested Citation

  • Hao Tan & John A. Mathews, 2007. "Cyclical Dynamics in Three Industries," DRUID Working Papers 07-07, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
  • Handle: RePEc:aal:abbswp:07-07
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    References listed on IDEAS

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    Cited by:

    1. Kimitaka Nishitani & Shinji Kaneko & Satoru Komatsu & Hidemichi Fujii, 2014. "How does a firm’s management of greenhouse gas emissions influence its economic performance? Analyzing effects through demand and productivity in Japanese manufacturing firms," Journal of Productivity Analysis, Springer, vol. 42(3), pages 355-366, December.

    More about this item

    Keywords

    Industry cycle; business cycle; technology cycle; business dynamics; VAR model;

    JEL classification:

    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment

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