人工智能应用促进了长江经济带三大城市群的绿色创新吗?——基于“数字红利”和“数字鸿沟”视角  

Does Artificial Intelligence Application Promote Green Innovation in Three Major City Clusters of the Yangtze River Economic Belt?Based on the Perspectives of“Digital Dividend”and“Digital Divide”

作　　者：贺星星[1] 阮俊杰 卞彩杏 HE Xingxing;RUAN Junjie;BIAN Caixing(School of Business,Guilin University of Electronic Science and Technology,Guilin 541004,Guangxi,China)

机构地区：[1]桂林电子科技大学商学院,中国广西桂林541004

出　　处：《经济地理》2024年第8期137-147,共11页Economic Geography

基　　金：国家社会科学基金一般项目(21BZZ026);桂林电子科技大学校级创新项目(2024YCXS087)。

摘　　要：文章以2011—2021年长江经济带三大城市群面板数据为样本,利用空间杜宾模型实证检验了人工智能应用对绿色创新的空间效应。结果表明:①长江经济带三大城市群人工智能应用水平与绿色创新水平均存在显著的空间正相关,同时绿色创新水平的Moran's I值呈现距离衰弱特征。②在长江经济带三大城市群范围内人工智能应用能够显著促进本地绿色创新水平产生“数字红利”,但对其邻地绿色创新水平的负向溢出加剧了“数字鸿沟”,并且这种关系会伴随地理区位差异显著变化。此外,进一步分析发现人工智能应用对绿色创新水平的本地效应和溢出效应均存在先促进后抑制的“倒U型”影响关系。③空间效应衰减分析发现,人工智能应用对绿色创新水平的负向溢出效应呈地理距离衰减态势,450 km处达到最大溢出衰减边界。数字普惠金融和数字产业集聚在人工智能应用水平与绿色创新水平的“倒U型”影响关系中具有显著的调节作用。聚焦人工智能与绿色创新双重视角,为推动中国实现绿色低碳循环发展提供理论支撑和经验证据。The article empirically examines the spatial effect of AI application on green innovation using the spatial Durbin model with panel data of the three major urban agglomerations of the Yangtze River Economic Belt from 2011 to 2021 as a sample.The results show that:1)There is a significant positive spatial correlation between the level of AI application and the level of green innovation in the three major urban agglomerations of the Yangtze River Economic Belt,while the Moran's I value of the level of green innovation shows the characteristic of distance weakening.2)Within the three major city clusters of the Yangtze River Economic Belt,the application of AI can significantly promote the local green innovation level to generate a"digital dividend",but the negative spillover to the green innovation level of its neighbours exacerbates the"digital divide",and this relationship is significantly varied with the difference of geography and location.This relationship changes significantly with geographic location differences.In addition,further analysis reveals that there is an"inverted U-shape"relationship between the local and spillover effects of AI applications on the level of green innovation,in which the local and spillover effects are first promoted and then suppressed.3)The analysis of spatial effect decay found that the negative spillover effect of AI applications on green innovation level showed a geographic distance decay trend,and the maximum spillover decay boundary was reached at 450 km.Digital inclusive finance and digital industrial agglomeration have a significant moderating role in the"inverted U-shape"relationship between the level of AI application and the level of green innovation.Focusing on the dual perspectives of AI and green innovation,we provide theoretical support and empirical evidence for promoting China's green,low-carbon and cyclical development.

关 键 词：人工智能应用 绿色创新 倒U型曲线 空间溢出效应 衰减边界 城市群 

分 类 号：F062.3[经济管理—政治经济学]