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| The Influencing Factors of Spatial Agglomeration of Digital Industry |
| Ye Tanglin1,Liu Zhewei1,Zhang Jingliang2 |
| (1.School of Urban Economics and Public Administration,Capital University of Economics and Business,Beijing 100070,China；2.School of Urban Governance and Public Affairs,University of Illinois at Chicago,Chicago 60607,America) |
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Abstract The digital economy with data resources as a factor of production is critical for the reform of China's economic development driving force, and the digital economy development has become an important part of the national strategic layout. As an emerging industry that plays a key leading role in economic and social development in China, digital economy continues to expand in development scale, and its supporting role in economic and social development continues to strengthen. However, due to the heterogeneity of economic space, there is an obvious trend towards polarization in the regional development of digital economy. This phenomenon has attracted wide attention and it is of practical significance to explore the internal law of spatial distribution of digital economy. Compared with the existing research, the paper explores the mechanism of innovation influencing the industrial agglomeration of digital economy, and puts forward such mechanisms as the determinism of innovation correlation level and the determinism of innovation input-output in industrial agglomeration of digital economy.#br#The core of the development of digital industries lies in obtaining solid technical support. On the one hand, the demand for data products in the market usually has strong timeliness limitation, especially the replicability of digital products, which means that new data products will be quickly imitated by competitors after the launch. Digital industries need to constantly iterate their digital technologies to maintain their competitiveness. On the other hand, the vitality of the development of digital economy lies in the continuous expansion of the application scenarios of data products, and the existing technology may not be able to meet the needs of new scenarios. Therefore, the demand for technology iteration is the key to cracking the internal law of industrial agglomeration in digital economy. Therefore, this paper focuses on exploring how the level of innovation interaction between cities, the level of science and technology capital investment within a city and the reserves of scientific and technological achievements within a region support the digital economy to achieve technological iteration, and verifies the causal relationship among these three and the agglomeration of digital economy.#br#This paper uses the data of the registered capital scale of the digital industry in 289 cities in China as the core index to measure the development of the digital economy. It defines variables and constructs multiple linear regression models to verify the causal relationship among the level of innovation interaction between cities, the level of science and technology capital investment within a city, and the reserves of scientific and technological achievements within a region and the industrial agglomeration of digital economy. In addition, the causal relationship is also verified by the sub-industries of digital economy, different economic sectors and different urban clusters.#br#The results show that the level of innovation interaction between regions will significantly affect the agglomeration of digital industry, which means that the more a region can establish scientific and technological links with other regions , the more likely it can achieve digital industrial agglomeration. The level of government investment in science and technology capital is another important factor affecting the industrial agglomeration of digital economy, indicating that the larger the scale of government investment in science and technology in a region is, the better it can promote the industrial agglomeration of digital economy. The reserves of scientific and technological achievements will also have an impact on the agglomeration degree of digital industries. The study also finds that there is clear industry heterogeneity of the agglomeration factors among different core industries in the digital economy, and there is no significant causal relationship between the level of urban innovation interaction and the agglomeration of industries with digital technology application. There is also obvious heterogeneity in the factors of industrial agglomeration of digital economy among regions divided by economic sector , and this causal relationship is not significantly established in northeast China. In addition, the significance level of the regression results with urban clusters as samples is significantly higher than that with economic sectors as samples, indicating that urban clusters are becoming the main spatial carriers for the development of digital economy industries.#br#
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Received: 20 November 2022
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