中国人工智能技术创新水平评价及测度

Evaluation and Measurement of Artificial Intelligence Technology Innovation Level in China

文章选取2010—2020年中国30个省区市面板数据,运用主成分分析法对中国人工智能技术创新水平进行测度。结果表明:整体层面,研究期内中国人工智能技术创新水平整体呈现波动上升态势,但省际差距十分明显,经济发展较好的省区市人工智能技术创新水平均值越高、增长率越低,经济发展水平较低省区市的均值越低、增长率越高。区域层面,中国东、中、西部三个地区人工智能技术创新水平均呈上升态势,其中东部地区最高,中部地区次之,西部地区居后。准则层层面,创新环境、创新资源、创新质量、创新产出水平均呈现上升态势,上升程度排序为创新环境>创新资源>创新产出>创新质量。鉴于此,应强化技术创新的边际递增收益优势,实施差异化人工智能创新发展战略,培育人工智能技术创新土壤,从而提升中国人工智能技术创新水平。

Based on the panel data of 30 provinces and cities in China from 2010 to 2020,the principal component analysis method is used to measure the level of AI technology innovation in China.The results show that:on the whole,during the study period,China's AI technology innovation level fluctuated and increased,but the inter provincial gap is very obvious.The higher the average value of AI technology innovation level and the lower the growth rate in provinces and cities with better economic development,and the lower the average value and the higher the growth rate in provinces and cities with lower economic development level.At the regional level,the innovation level of artificial intelligence technology in the east,middle and west regions of China is on the rise,of which the eastern region is the highest,the central region is the second,and the western region is last.At the criterion level,the innovation environment,innovation resources,innovation quality and innovation output level all show an upward trend,and the order of the upward degree is innovation environment>innovation resources>innovation output>innovation quality.In view of this,it is necessary to strengthen the marginal and incremental benefits of technological innovation,implement differentiated artificial intelligence innovation development strategies,and cultivate artificial intelligence technology innovation soil,so as to enhance China's artificial intelligence technology innovation level.