摘要
在智能技术逐渐融入企业生产的大背景下,产业如何演变引起了学术界的广泛关注。本文将产业演进路径拓展到产业间,利用城市样本数据检验人工智能如何赋能产业协同集聚。研究显示:人工智能与产业协同集聚呈现U型关系,在经过一系列稳健性检验后依然成立。机制分析发现,人工智能通过人力资本与技术溢出对产业协同集聚产生影响。时间、空间与结构差异均会改变人工智能的作用效果,即产业协同集聚效应依赖于智能政策文件的出台、地理区位的改变和协同集聚的维度。从经济后果来看,人工智能应用引发的产业协同集聚不仅促进了经济增长数量的提升,而且有助于经济增长质量的改善。本文研究既拓宽了人工智能的作用领域,又为通过智能手段实现产业协同集聚提供有益参考。
In the context of the gradual integration of intelligent technologies into corporate production,how industries evolve has attracted widespread academic attention.This paper extends the industrial evolution path to inter-industry,and uses city sample data to examine how artificial intelligence empowers industrial synergistic agglomeration.The study shows that Artificial Intelligence(AI)and industrial synergistic agglomeration exhibit a U-shaped relationship,which still holds after a series of robustness tests.The mechanism analysis finds that AI influences industrial synergistic agglomeration through human capital and technology spillover.Temporal,spatial and structural differences all change the effect of AI,i.e.,the effect of industrial synergistic agglomeration depends on the introduction of smart policy documents,changes in geographic location and the dimension of synergistic agglomeration.In terms of economic consequences,the synergistic clustering of industries triggered by AI applications not only promotes the quantity of economic growth,but also contributes to the improvement of economic growth quality.This paper broadens the field of the role of AI and provides useful references for achieving industrial synergistic agglomeration through intelligent means.
作者
谭玉松
任保平
师博
Tan Yu-song;Ren Bao-ping;Shi Bo
出处
《经济学家》
CSSCI
北大核心
2023年第6期66-77,共12页
Economist