Ziyuan Kexue (May 2024)
Spatiotemporal transition of China’s industrial intelligence and the driving mechanism
Abstract
[Objective] The objective of this study was to clarify the characteristics of the spatiotemporal transition of industrial intelligence in China and its driving mechanism, and provided a reference basis for promoting the coordinated regional development of industrial intelligence. [Methods] On the basis of measuring the industrial intelligence level of 30 provinces in China from 2010 to 2021, this study investigated the spatiotemporal transition characteristics of industrial intelligence by using exploratory spatiotemporal data analysis (ESTDA). We then used quantile regression with spatiotemporal transition mosaic model to explore the driving mechanism of the spatiotemporal transition. [Results] The results show that: (1) From 2010 to 2021, China’s industrial intelligence level as a whole showed an upward trend, and the growth rate exhibited a fluctuating growth trend. Spatially, the distribution exhibited an unbalanced pattern of “advanced in the east and weak in the central region and the west”. (2) The results of spatiotemporal transition analysis indicated that China’s industrial intelligence had powerful path-locking and spatial dependence characteristics. Most western provinces were always locked in the “club” of low intelligence attributes. The change of spatial pattern of industrial intelligence in China showed strong integration characteristics, in which positive synergistic transition was the main development mode. (3) Mechanism analysis revealed that the driving and restricting modes of spatiotemporal transition of industrial intelligence varied among different regions. The spatiotemporal transition in most eastern coastal provinces was mainly “economic level, opening up, and regional innovation” driven, while the resistance of spatiotemporal transition in most central and western provinces primarily arose from the restricting mode of “industrial structure”. The spatiotemporal transition pattern of industrial intelligence from the east to the west presented a trapezoidal evolution pattern from “same direction development” to “same direction constraints”. [Conclusion] China’s industrial intelligence still has a large room for improvement. Therefore, in the future, there is an urgent need to address the geographical disadvantages according to local conditions, break through the spatial path of locking in. Meanwhile, it is also necessary to strengthen the integration of industrial digitalization and intelligence, and form industrial development synergies to promote the development of industrial intelligence.
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