首页|中国城市人工智能高质量发展路径研究——基于技术经济范式的定性比较分析

中国城市人工智能高质量发展路径研究——基于技术经济范式的定性比较分析

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探究中国城市人工智能高质量发展的形成路径对于实现中国经济社会高质量发展具有十分重要的理论意义和实践价值。基于技术经济范式理论,以95个城市为研究样本,运用fsQCA方法,从组态的视角探讨了产业基础、市场规模、人力资本、政府干预、金融资本和技术创新6大前因条件的协同机制影响中国城市人工智能高质量发展的多元路径。主要结论如下:中国城市人工智能的发展具有殊途同归和多重路径并发的明显特征,任何单一因素均不能成为产生城市高和非高人工智能发展的必要条件,也不能成为引发产生其高和非高质量发展的充分条件;产生城市人工智能高和非高质量发展是多种因素共同作用的结果,并各自形成两条路径;扩大市场规模和提升人力资本对产生城市高人工智能发展发挥着更为普适的作用,产业基础的不足是制约城市高人工智能发展的共同因素。
Research on the Path of High-Quality Development of Artificial Intelligence in Chinese Cities——Qualitative Comparative Analysis Based on Techno-Economic Paradigm
Artificial intelligence(AI)is an important force to promote high-quality economic and social development in China.Based on the theory of techno-economic paradigm,95 cities are taken as the research sample,and the fsQCA method is applied to explore the multiple paths of the synergistic mechanism of the six antecedent conditions,namely,industrial foundation,market scale,human capital,government intervention,financial capital and technological innovation,affecting the high-quality development of AI in Chinese cities from the perspective of grouping state.The main conclusions are as follows:the development of urban AI in China has the obvious characteristics of different paths and multiple paths concurrently,and no single factor can be a necessary condition for the generation of high and non-high AI development in the city,or a sufficient condition for triggering the generation of its high and non-high-quality development;the generation of high and non-high-quality development in the city is the result of the joint action of multiple factors,and each of them forms two paths;Expanding market size and enhancing human capital play a more pervasive role in generating high AI development in cities,and the lack of industrial base is a common constraint to high AI development in cities.

high quality developmentartificial intelligencetechno-economic paradigmgroupingfsQCA approach

杨辉鹏、郭守亭

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黄冈师范学院商学院

中南财经政法大学

高质量发展 人工智能 技术经济范式 组态 fsQCA方法

国家社会科学基金一般项目

20BJL095

2024

兰州学刊
兰州市社会科学院 兰州市社会科学界联合会

兰州学刊

CHSSCD
影响因子:0.401
ISSN:1005-3492
年,卷(期):2024.(3)
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