Digitization, perception of policy uncertainty, and corporate green innovation: A study from China

Economic Analysis and Policy, Год журнала: 2023, Номер 80, С. 544 - 557

Опубликована: Сен. 13, 2023

Язык: Английский

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AI adoption rate and corporate green innovation efficiency: Evidence from Chinese energy companies

Energy Economics, Год журнала: 2024, Номер 132, С. 107499 - 107499

Опубликована: Март 20, 2024

Язык: Английский

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How do external and internal factors drive green innovation practices under the influence of big data analytics capability: Evidence from China

Journal of Cleaner Production, Год журнала: 2023, Номер 404, С. 136862 - 136862

Опубликована: Март 23, 2023

Язык: Английский

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Research on the impact of enterprise digital transformation on carbon emissions in the manufacturing industry

International Review of Economics & Finance, Год журнала: 2024, Номер 92, С. 211 - 227

Опубликована: Фев. 8, 2024

Язык: Английский

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Digital transformation and corporate environmental performance: Evidence from Chinese listed companies

Technological Forecasting and Social Change, Год журнала: 2024, Номер 201, С. 123159 - 123159

Опубликована: Янв. 16, 2024

Язык: Английский

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Tapping into the green potential: The power of artificial intelligence adoption in corporate green innovation drive

Business Strategy and the Environment, Год журнала: 2024, Номер 33(5), С. 4375 - 4396

Опубликована: Фев. 7, 2024

Abstract In response to growing environmental challenges, there is an urgent need understand how corporations can leverage new technologies boost sustainability and eco‐innovation. This study addresses this by investigating Artificial Intelligence adoption (AIA) influence on green innovation (greenovation) performance among Chinese firms as China's expanding digital economy severe ecological pressures make it unique context. Specifically, panel data 8722 firm‐year observations from listed 2008 2017 analyzed test the relationship. The main findings show that higher AIA associated with increased greenovation, measured through patents. positive effect more pronounced privately‐owned enterprises versus state‐owned enterprises. Additionally, financial analysts are found strengthen AI‐greennovation link information dissemination scrutiny. Importantly, robust validated a battery of tests, including change regression, instrumental variable methods, propensity score match (PSM), sysGMM. Overall, provides novel empirical evidence AI holds promise enabler corporate have crucial implications for research practice regarding leveraging sustainability, especially in emerging economies like China undergoing rapid technological change.

Язык: Английский

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How does artificial intelligence affect the environmental performance of organizations? The role of green innovation and green culture

Information & Management, Год журнала: 2024, Номер 61(2), С. 103924 - 103924

Опубликована: Янв. 29, 2024

Язык: Английский

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How digital transformation facilitate synergy for pollution and carbon reduction: Evidence from China

Environmental Research, Год журнала: 2024, Номер 251, С. 118639 - 118639

Опубликована: Март 18, 2024

Язык: Английский

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How does digitalization affect the green transformation of enterprises registered in China's resource-based cities? Further analysis on the mechanism and heterogeneity

Journal of Environmental Management, Год журнала: 2024, Номер 365, С. 121560 - 121560

Опубликована: Июнь 21, 2024

Язык: Английский

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Unveiling the green innovation paradox: Exploring the impact of carbon emission reduction on corporate green technology innovation

Technological Forecasting and Social Change, Год журнала: 2024, Номер 207, С. 123562 - 123562

Опубликована: Июль 18, 2024

Язык: Английский

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