技术发展对其产业化的影响研究——来自深度学习技术的证据

The Impact of Technology Development on Its Industrialization-Evidence from Deep Learning Technology

通过构建深度学习技术“企业—专利—论文”数据库,从空间认知视角研究了深度学习技术对其产业化的影响及内在机制。研究发现:(1)深度学习技术确实能促进本地和周边地区技术产业化;(2)就影响机制而言,深度学习技术主要通过提高人力资本和知识产权保护水平来推动技术产业化;(3)深度学习技术的影响存在异质性:在沿海地区及技术高关联行业中,深度学习技术对其产业化作用更大;在技术发展前期,深度学习技术对其产业化的影响主要表现在本地,但在技术发展后期,深度学习技术对其产业化的影响主要表现在周边地区。

This paper constructs a"firm-patent-paper"database based on deep learning technology and investigates the impact of deep learning technology on its industrialization from a spatial cognition perspective.Results show that deep learning technology can indeed promote the industrialization of technology in local and neighboring regions.In terms of the underlying mechanisms,the development of deep learning technology mainly promotes its industrialization by improving human capital and intellectual property protection.The impact of deep learning technology on industrialization exhibits heterogeneity:deep learning technology has a greater impact on industrialization in coastal regions and closely related industries.In the early stage of technology development,the effect of deep learning technology on industrialization is mainly reflected locally,but in the later stage,the effect is mainly seen in neighboring regions.