Abstract: It has become an important issue in theory and reality to promote the deep integration of enterprise digitalization, intelligence and greening, and solve the dilemma of green innovation. Based on the listed companies in Shanghai and Shenzhen A-shares from 2014 to 2023, this study explores the impact and mechanism of digital intelligence on enterprise green innovation from the dual perspective of "improving quality and expanding quantity" as well as "enhancing efficiency". The results show that: (1) Digital intelligence can not only promote the quantity and quality, but also improve efficiency, and the conclusion still holds after testing for robustness. (2) The mechanism testing shows that digital intelligence breaks through the green innovation dilemma by optimizing the allocation of innovation resources and reducing information asymmetry and other means. (3) Heterogeneity analysis shows that high environmental regulation areas, high-tech industries, state-owned and large enterprises, digital intelligence plays a more significant effect on the improvement of the green innovation. (4) The effect consequences study shows that the promotion of enterprise green innovation by digital intelligence can further improve the economic, environmental, and social responsibility performance of the enterprise. The conclusion of this study provides useful insights for leveraging digital intelligence to drive enterprise green innovation, achieving the dual-carbon goals and boosting the overall performance of China's innovation system, and shaping new driving forces and advantages for high-quality development of enterprises.

摘要： 推进企业数字化、智能化同绿色化深度融合，破解绿色创新“低质低效”双低困境成为理论与现实的重要问题。本文基于2014-2023年沪深A股上市公司数据，从“提质扩量”和“效率提升”双重视角，探究数智化对企业绿色创新的影响及其作用机制。结果显示：（1）数智化不仅可以促进企业绿色创新提质扩量，而且能够实现企业绿色创新效率提升，经过一系列稳健性检验后该结论依旧成立。（2）机制检验表明，数智化主要通过优化创新资源配置和降低信息不对称等途径破解企业绿色创新“低质低效”困境。（3）异质性分析发现，高环境规制地区、高科技行业、国有和大型企业数智化对绿色创新“提质增效”的作用更为显著。（4）作用效果研究表明，数智化破解绿色创新“低质低效”困境能够进一步提高企业经济、环境以及社会责任表现。本文的研究结论为以数智化驱动企业绿色创新“提质增效”，从而实现“双碳”目标和提升国家创新体系整体效能，塑造企业高质量发展新动能新优势提供了有益启示。