Inventory change, capacity utilization and the semiconductor industry cycle
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DOI: 10.1016/j.econmod.2012.11.027
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Citations
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Cited by:
- Wang, Xiaolei & Deng, Renxin & Yang, Yufang, 2023. "The spatiotemporal effect of factor price distortion on capacity utilization in China’s iron and steel industry," Resources Policy, Elsevier, vol. 86(PA).
- Aubry, Mathilde & Renou-Maissant, Patricia, 2014. "Semiconductor industry cycles: Explanatory factors and forecasting," Economic Modelling, Elsevier, vol. 39(C), pages 221-231.
- Gao, Long, 2015. "Collaborative forecasting, inventory hedging and contract coordination in dynamic supply risk management," European Journal of Operational Research, Elsevier, vol. 245(1), pages 133-145.
- Lu, Juan & Li, He, 2022. "Can high-speed rail improve enterprise capacity utilization? A perspective of supply side and demand side," Transport Policy, Elsevier, vol. 115(C), pages 152-163.
- Wen-Hsien Liu & Shu-Shih Weng, 2018. "On predicting the semiconductor industry cycle: a Bayesian model averaging approach," Empirical Economics, Springer, vol. 54(2), pages 673-703, March.
- Li, Mengjie & Du, Weijian, 2022. "Opening the black box of capacity governance: Environmental regulation and capacity utilization of microcosmic firms in China," Economic Modelling, Elsevier, vol. 108(C).
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More about this item
Keywords
Semiconductor; Markov regime-switching model; Inventory; Capacity utilization; Industry cycle;All these keywords.
JEL classification:
- L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
- L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment
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