科研管理 ›› 2023, Vol. 44 ›› Issue (1): 1-7.

• 论文 •    下一篇

中国人工智能产业科技创新能力测度及趋势演进

李旭辉1,杨梦成1,严晗2,郭术周3   

  1. 1.安徽财经大学管理科学与工程学院,安徽 蚌埠233030;
    2.上海交通大学安泰经济与管理学院,上海200030;
    3.科大讯飞股份有限公司,安徽 合肥230088

  • 收稿日期:2021-07-10 修回日期:2021-12-29 出版日期:2023-01-20 发布日期:2023-01-18
  • 通讯作者: 李旭辉
  • 基金资助:
    国家自然科学基金面上项目:“创新环境要素对企业创新生态系统的影响机理研究”(71872047,2019.01—2022.12);上海市教育委员会科研创新计划重大项目:“现代化经济体系统计监测评价指标、方法及应用研究”(2021-01-07-00-02-E00127,2021.02—2023.12);安徽省高校优秀青年人才支持计划重点项目:“我国人工智能产业发展评价体系及推进策略研究”(gxyqZD2020088,2020.09—2022.12)。

Measurement and trend evolution of the S&T innovation ability of the AI industry in China

Li Xuhui1, Yang Mengcheng1, Yan Han2, Guo Shuzhou3   

  1. 1. School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu 233030, Anhui, China; 
    2. School of Antai Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China; 
    3. IFLYTEK CO., LTD., Hefei 230088, Anhui, China
  • Received:2021-07-10 Revised:2021-12-29 Online:2023-01-20 Published:2023-01-18

摘要: 基于2009—2018年省域面板数据,运用G1-CRITIC组合赋权方法测度中国三大经济圈人工智能产业科技创新能力,并采用Kernel密度估计、空间Markov链分析方法从时空维度考察三大经济圈人工智能产业科技创新能力分布动态和长期演进趋势。研究发现:(1)三大经济圈人工智能产业科技创新能力呈上升态势,但其梯度特征明显,长三角经济圈人工智能产业科技创新能力处于绝对领先地位,泛珠三角与环渤海经济圈处于较低水平;(2)三大经济圈人工智能产业科技创新能力“极化效应”加剧,长三角、泛珠三角及环渤海经济圈均存在多极分化趋势,且呈现明显层级结构,空间集聚效应显著;(3)由于经济圈内部省份之间的空间交互影响和正向溢出效应,人工智能产业科技创新能力的“俱乐部趋同”现象和“马太效应”有所缓解,且趋同过程不独立,空间溢出效应的异质性持续存在。

关键词: 人工智能产业, 科技创新能力, 趋势演进, 综合测度, 三大经济圈

Abstract:

   With the implementation of regional coordinated development and new urbanization strategy, as a special region of China′s regional plate, the metropolitan economic circle has developed rapidly and has become an important national economic growth pole. Yangtze River Delta Economic Circle, Pan-Pearl River Delta Economic Circle and Bohai Economic Circle represent the highest level of China′s economic development, shouldering the responsibility of taking the lead in achieving modernization. In this context, it is of great practical significance to study and judge the stage characteristics and spatial-temporal pattern of the science and technology innovation ability of artificial intelligence industry in the three economic circles, identify the evolution law of the science and technology innovation ability of artificial intelligence industry in the three economic circles, and explore the collaborative promotion path of the science and technology innovation ability of artificial intelligence industry in the three economic circles.

     Based on the internal mechanism of the artificial intelligence industry, this paper constructs the comprehensive measurement index system of the science and technology innovation ability of the artificial intelligence industry by drawing on the innovation triple helix structure framework. Taking the three major economic circles in China as the spatial scale, the science and technology innovation ability of the artificial intelligence industry is scientifically measured, and the stage characteristics, spatial imbalance and distribution dynamic evolution trend of the science and technology innovation ability of the artificial intelligence industry are deeply explored. Firstly, the G1-CRITIC weighting method is used to dynamically measure the science and technology innovation ability of artificial intelligence industry in the Yangtze River Delta, the Pan-Pearl River Delta and the Bohai Economic Circle, and then reveals the evolution process of the science and technology innovation ability of artificial intelligence industry. Secondly, Kernel density estimation method is used to describe the spatial differentiation characteristics and time evolution path of the science and technology innovation ability of artificial intelligence industry in the three economic circles as a whole and each economic circle. Thirdly, traditional and spatial Markov chain analysis methods are used to examine the endogenous interaction mechanism and spatio-temporal evolution law of the science and technology innovation ability of artificial intelligence industry in the three economic circles.

      Through the measurement and trend evolution of the science and technology innovation ability of artificial intelligence industry in each provincial-level region of China′s three major economic circles from 2009 to 2018, the findings are as follows: First, the science and technology innovation ability of the artificial intelligence industry in the three major economic circles is on the rise, but its gradient characteristics are obvious. The science and technology innovation ability of the artificial intelligence industry in the Yangtze River Delta Economic Circle is in an absolute leading position, and the Pan-Pearl River Delta and Bohai Rim Economic Circles are at a relatively low level. Second, the "polarization effect" of the science and technology innovation ability of the artificial intelligence industry in the three major economic circles has intensified. The Yangtze River Delta, Pan-Pearl River Delta, and Bohai Rim Economic Circles all have a trend of multi-level differentiation, and they have a clear hierarchical structure with significant spatial agglomeration effects. Third, due to the spatial interaction and positive spillover effects between provinces within the economic circle, the "club convergence" phenomenon and the "Matthew effect" of the science and technology innovation ability of the artificial intelligence industry have been alleviated, and the convergence process is not Independence, the heterogeneity of spatial spillover effects persists. 

     A comprehensive investigation of the development trend, trend evolution and spatial imbalance of the science and technology innovation ability of the artificial intelligence industry in China′s three major economic circles can build a domestic and international dual cycle for the three major economic circles of the Yangtze River Delta, the Pan-Pearl River Delta and the Bohai Rim, and explore regional integrated development provide decision-making reference.

Key words: AI industry, S&T innovation ability, trend evolution, comprehensive measurement, three economic circles