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

LI Xu-Hui; YANG Meng-Cheng; YAN Han; GUO Shu-Zhou

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Science Research Management ›› 2023, Vol. 44 ›› Issue (1) : 1-7.

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

Li Xuhui¹, Yang Mengcheng¹, Yan Han², Guo Shuzhou³

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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.

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AI industry / S&T innovation ability / trend evolution / comprehensive measurement / three economic circles

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Li Xuhui, Yang Mengcheng, Yan Han, Guo Shuzhou. Measurement and trend evolution of the S&T innovation ability of the AI industry in China[J]. Science Research Management. 2023, 44(1): 1-7

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