摘要
在中国致力于实现“双碳”和高质量发展目标的背景下,基于中国2007-2021年284个城市的面板数据,将人工智能与绿色创新纳入一个理论分析框架,借助固定效应、门槛效应和中介效应模型检验人工智能对绿色创新水平的影响、影响机制以及不同条件下人工智能对绿色创新影响的差异性问题。研究结果表明:人工智能能够赋能绿色创新,且这种赋能效果呈现边际递增到一定程度后赋能幅度下降的非线性特征。中介效应表明,人工智能通过优化人力资本结构和产业结构调整来促进绿色创新。调节效应表明,良好的制度环境和适当的政府干预正向调节人工智能对绿色创新的赋能效应。
In the context of China’s efforts to achieve the goal of“dual carbon”and high-quality development,based on the panel data of 284 cities in China from 2007 to 2021,artificial intelligence and green innovation are incorporated into a theoretical analysis framework.The influence of artificial intelligence on the level of green innovation,the influence mechanism and the difference of the influence of artificial intelligence on green innovation under different conditions were tested by the fixed effect,threshold effect and intermediary effect models.The results show that artificial intelligence can enable green innovation,and the enabling effect presents a nonlinear feature of decreasing the enabling range after the marginal increase to a certain extent.The intermediary effect shows that artificial intelligence promotes green innovation through two paths of human capital structure optimization and industrial structure adjustment.The moderating effect shows that a good institutional environment and appropriate government intervention positively moderates the empowering effect of AI on green innovation.
出处
《科学决策》
CSSCI
2024年第4期61-74,共14页
Scientific Decision Making
基金
教育部人文社科青年基金项目(项目编号:22YJC630016)。
关键词
人工智能
绿色创新
制度环境
政府干预
门槛模型
artificial intelligence
green innovation
institutional environment
government intervention
threshold model