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.
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.