我国人工智能技术的发展主要是从2006年深度学习网络兴起后开始的,由此不断向前推进。从经验上看,自2006年深度学习网络出现后,制造业企业全要素生产率随着其对人工智能技术应用的增加而有所提高。目前,在新一轮科技革命发展下人工智能...我国人工智能技术的发展主要是从2006年深度学习网络兴起后开始的,由此不断向前推进。从经验上看,自2006年深度学习网络出现后,制造业企业全要素生产率随着其对人工智能技术应用的增加而有所提高。目前,在新一轮科技革命发展下人工智能技术的应用更是直接对制造业企业的全要素生产率产生了重要作用。本文主要通过双重固定效应模型考察人工智能技术对制造业企业全要素生产率的影响,研究结果表明:1) 人工智能技术对制造业企业的全要素生产率存在正向且显著的影响;2) 从地理位置角度来看,在东部地区,人工智能技术对制造业企业的全要素生产率的影响更大。The development of artificial intelligence technology in China primarily commenced following the emergence of deep learning networks in 2006 and has since been consistently advanced. Empirically, the total factor productivity of manufacturing enterprises has shown an increase concomitant with the growing application of artificial intelligence technology subsequent to the advent of deep learning networks in 2006. Currently, amidst a new wave of scientific and technological revolution, the direct impact of artificial intelligence technology on the total factor productivity of manufacturing enterprises is substantial. This study predominantly investigates the influence of artificial intelligence technology on the total factor productivity of manufacturing enterprises through a dual fixed effect model. The research findings indicate that: 1) Artificial intelligence technology exerts a positive and significant influence on the total factor productivity of manufacturing enterprises;2) Geographically, within the eastern region, AI technology demonstrates a more pronounced impact on the total factor productivity of manufacturing enterprises.展开更多
企业创新是社会主义市场经济发展提质增效的重要引擎。而随着数字时代的深化,数字产业不仅成为我国高新技术企业的重要组成部分,更成为“做强创新主体”、“提升创新活力”与“增强创新策源能力”的中坚力量。本文基于2011~2022年间中国...企业创新是社会主义市场经济发展提质增效的重要引擎。而随着数字时代的深化,数字产业不仅成为我国高新技术企业的重要组成部分,更成为“做强创新主体”、“提升创新活力”与“增强创新策源能力”的中坚力量。本文基于2011~2022年间中国A股上市公司创新数据,以及区域数字经济发展水平的结构化测度数据,实证研究了数字经济和企业创新之间的关系,发现随着区域数字经济发展水平的提高,辖区内上市公司的创新效率也在不断提升。这一结论在经过一系列的稳健性检验后依然显著。本文的研究发现不仅丰富了数字经济驱动企业创新的作用机制的探讨,更是为政府和企业提升创新效率、实现创新升级提供了实证依据。Enterprise innovation is an important engine for improving the quality and efficiency of the development of the socialist market economy. With the deepening of the digital era, the digital industry has not only become an important part of China’s high-tech enterprises but also a central force in “strengthening the main body of innovation,” “enhancing innovation vitality,” and “increasing the capacity for innovation.” Based on the innovation data of A-share listed companies in China from 2011 to 2022, as well as structured measurement data of regional digital economic development levels, this paper empirically studies the relationship between the digital economy and corporate innovation and finds that as the level of regional digital economic development improves, the innovation efficiency of listed companies in the jurisdiction is also continuously improving. This conclusion remains significant after a series of robustness tests. The findings of this paper not only enrich the discussion of the mechanism by which the digital economy drives corporate innovation but also provide empirical evidence for governments and enterprises to improve innovation efficiency and achieve innovation upgrading.展开更多
文摘我国人工智能技术的发展主要是从2006年深度学习网络兴起后开始的,由此不断向前推进。从经验上看,自2006年深度学习网络出现后,制造业企业全要素生产率随着其对人工智能技术应用的增加而有所提高。目前,在新一轮科技革命发展下人工智能技术的应用更是直接对制造业企业的全要素生产率产生了重要作用。本文主要通过双重固定效应模型考察人工智能技术对制造业企业全要素生产率的影响,研究结果表明:1) 人工智能技术对制造业企业的全要素生产率存在正向且显著的影响;2) 从地理位置角度来看,在东部地区,人工智能技术对制造业企业的全要素生产率的影响更大。The development of artificial intelligence technology in China primarily commenced following the emergence of deep learning networks in 2006 and has since been consistently advanced. Empirically, the total factor productivity of manufacturing enterprises has shown an increase concomitant with the growing application of artificial intelligence technology subsequent to the advent of deep learning networks in 2006. Currently, amidst a new wave of scientific and technological revolution, the direct impact of artificial intelligence technology on the total factor productivity of manufacturing enterprises is substantial. This study predominantly investigates the influence of artificial intelligence technology on the total factor productivity of manufacturing enterprises through a dual fixed effect model. The research findings indicate that: 1) Artificial intelligence technology exerts a positive and significant influence on the total factor productivity of manufacturing enterprises;2) Geographically, within the eastern region, AI technology demonstrates a more pronounced impact on the total factor productivity of manufacturing enterprises.
文摘企业创新是社会主义市场经济发展提质增效的重要引擎。而随着数字时代的深化,数字产业不仅成为我国高新技术企业的重要组成部分,更成为“做强创新主体”、“提升创新活力”与“增强创新策源能力”的中坚力量。本文基于2011~2022年间中国A股上市公司创新数据,以及区域数字经济发展水平的结构化测度数据,实证研究了数字经济和企业创新之间的关系,发现随着区域数字经济发展水平的提高,辖区内上市公司的创新效率也在不断提升。这一结论在经过一系列的稳健性检验后依然显著。本文的研究发现不仅丰富了数字经济驱动企业创新的作用机制的探讨,更是为政府和企业提升创新效率、实现创新升级提供了实证依据。Enterprise innovation is an important engine for improving the quality and efficiency of the development of the socialist market economy. With the deepening of the digital era, the digital industry has not only become an important part of China’s high-tech enterprises but also a central force in “strengthening the main body of innovation,” “enhancing innovation vitality,” and “increasing the capacity for innovation.” Based on the innovation data of A-share listed companies in China from 2011 to 2022, as well as structured measurement data of regional digital economic development levels, this paper empirically studies the relationship between the digital economy and corporate innovation and finds that as the level of regional digital economic development improves, the innovation efficiency of listed companies in the jurisdiction is also continuously improving. This conclusion remains significant after a series of robustness tests. The findings of this paper not only enrich the discussion of the mechanism by which the digital economy drives corporate innovation but also provide empirical evidence for governments and enterprises to improve innovation efficiency and achieve innovation upgrading.