A decomposition of productivity change in the semiconductor manufacturing industry

Chia Yen Lee, Andrew L. Johnson

研究成果: Article同行評審

24 引文 斯高帕斯(Scopus)


This study divides a production system into three components: production design, demand support, and operations. Efficiency is then decomposed via network data envelopment analysis and integrated into the Malmquist Productivity Index framework to develop a more detailed decomposition of productivity change. The proposed model can identify the demand effect and the identity of the root cause of technical regress. Specifically, the demand effect allows the source of technical regress to be attributed to both demand deterioration and technical regress in the production technology. An empirical study using data from 1995 to 2000 for the semiconductor manufacturing industry is presented to demonstrate and validate the proposed method. The result shows that the regress of productivity in 1997-1998 and 1999-2000 is mainly caused by demand fluctuations rather than by technical regression in production capabilities.

頁(從 - 到)4761-4785
期刊International Journal of Production Research
出版狀態Published - 2011 8月 15

All Science Journal Classification (ASJC) codes

  • 策略與管理
  • 管理科學與經營研究
  • 工業與製造工程


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