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Performance Assessment of the Semiconductor Industry: Measured by DEA Environmental Assessment

Author

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  • Toshiyuki Sueyoshi

    (Department of Management, New Mexico Institute of Mining & Technology, 801 Leroy Place, Socorro, NM 87801, USA
    Tokyo Institute of Technology, Tokyo Tech World Research Hub Initiative, School of Environment and Society, 3-6 Shibaura, Minato-ku, Tokyo 108-0023, Japan)

  • Youngbok Ryu

    (College of Professional Studies, Northeastern University, 360 Huntington Avenue, Boston, MA 02115, USA)

Abstract

This study measures the unified (i.e., operational and environmental) performance of semiconductor firms in the world by using Data Envelopment Analysis (DEA) environmental assessment. With its promising and expanding electronic applications, many industrial nations have supported the semiconductor industry under their strategic plans, and numerous firms are involved in the global value chain. Drawing on the proposed DEA-based environmental (sustainability) assessment, which uses two disposability criteria (i.e., natural and managerial), this study first compute the unified efficiency scores of semiconductor firms. Then, this study explores how corporate age, business model, and location influence the efficiency scores by employing Tobit regressions and t -tests. The empirical implications obtained from this research indicate that overall, the semiconductor firms look for their economic achievements but are not paying enough attention to environmental sustainability. Corporate age and business model are statistically related with their operational performance measures whereas corporate location is related with their environmental ones.

Suggested Citation

  • Toshiyuki Sueyoshi & Youngbok Ryu, 2020. "Performance Assessment of the Semiconductor Industry: Measured by DEA Environmental Assessment," Energies, MDPI, vol. 13(22), pages 1-24, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:5998-:d:446337
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    References listed on IDEAS

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    Cited by:

    1. Shih-Ping Shen & Jung-Fa Tsai, 2022. "Evaluating the Sustainable Development of the Semiconductor Industry Using BWM and Fuzzy TOPSIS," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    2. Umar, Zaghum & Adekoya, Oluwasegun Babatunde & Oliyide, Johnson Ayobami & Gubareva, Mariya, 2021. "Media sentiment and short stocks performance during a systemic crisis," International Review of Financial Analysis, Elsevier, vol. 78(C).
    3. Qiao Guangshun & Lu Yulin, 2024. "Operating Efficiency in the Capital-Intensive Semiconductor Industry: A Nonparametric Frontier Approach," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-17, January.
    4. Lingli Qing & Ibrahim Alnafrah & Abd Alwahed Dagestani, 2024. "Does green technology innovation benefit corporate financial performance? Investigating the moderating effect of media coverage," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(3), pages 1722-1740, May.
    5. Youngbok Ryu & Toshiyuki Sueyoshi, 2021. "Examining the Relationship between the Economic Performance of Technology-Based Small Suppliers and Socially Sustainable Procurement," Sustainability, MDPI, vol. 13(13), pages 1-23, June.
    6. Toshiyuki Sueyoshi & Youngbok Ryu, 2021. "Environmental Assessment and Sustainable Development in the United States," Energies, MDPI, vol. 14(4), pages 1-23, February.

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