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Abstract
The question of how enterprises can achieve both economic gains
and carbon reduction goals through business model innovation has become an
urgent issue requiring attention, as the sector currently navigates a critical
period of dual transformations toward intelligence and green development. Using
a sample of 133 Chinese smartphone industrial chain enterprises from 2015 to
2022, this study employs methodologies including the two-way fixed effects
model, term frequency analysis. It aims to provide both a comprehensive
theoretical framework and micro-level empirical evidence for the proposition
that business model innovation impacts corporate carbon performance. Regression
results demonstrate that business model innovation significantly enhances
corporate carbon performance, a result robust to a battery of tests. Mechanism
analysis demonstrates that the application of artificial intelligence and green
technology innovation serve as mediating channels between business model
innovation and carbon performance. Heterogeneity analysis indicates that the
carbon performance enhancement effect of business model innovation is more
pronounced in state-owned enterprises, firms facing stronger financing
constraints, and enterprises positioned in the upstream segments of the supply
chain. Continuous efforts in areas such as government guidance and
enterprise-driven innovation will be essential in the future to facilitate the
achievement of the dual carbon goals.
Keywords: Business Model Innovation, Carbon Performance, Artificial
Intelligence, Green Technology.