关键词: 大数据, 数据基础设施, 数据技术应用, 经济发展质量

Abstract: With the goal of achieving high-quality development, the dual driving mechanism of big data infrastructure and technology application capabilities is analyzed to verify whether the development of big data follows the “Metcalfe Theorem”. It is concluded that: firstly, big data can promote high-quality economic development by promoting market integration, improving government intervention capabilities, optimizing capital and labor allocation, and the application of big data technology has a stronger effect than data infrastructure. Secondly, at the present stage, data infrastructure and technology application have heterogeneous high-quality development effects. The positive effect of the former needs to cross a certain threshold and has a “moderate interval”, while the latter is characterized by a positive “marginal increase”, and with the support of data infrastructure, the “marginal increase” effect of data technology application is stronger. Thirdly, “Nearby cooperation” is conducive to stimulating the spillover effect of high-quality development of data infrastructure, and “technological alliances” can enhance the spatial spillover effect of data technology application. Fourthly, the positive effect of data technology application depends on the business environment and education level. At this stage, it can only stimulate the high-quality development of the digital economy industry, and has insufficient power in traditional industries. This paper proves that “Metcalfe Theorem” still exists in big data applications, and deepens the understanding of data infrastructure construction and technology application capability improvement.

Key words: Big Data, Data Infrastructure, Data Technology Application, Economic Development Quality