The Driving Effect of Data Mining Technology on the Development of Digital Economy

Based on the viewpoint that Large-scale information affected the economic and social development, the author established a theoretical model of the impact of Large-scale information on green economic growth in the framework of endogenous technological progress. Technical progress is analyzed from two aspects: neutral technical progress and biased technical progress. Neutral technical progress driven by big data affects economic growth, while biased technical progress caused by big data affects environmental quality. The theory reveals the mechanism and path that big data affects technological progress, economic growth, environmental quality, environmental regulation policies, etc., and verifies the above theory through numerical Analog verification. The author aims to reveal the endogenous impact of big data on green economic growth, creatively explain the theoretical mechanism and path of big data driving green economic growth, and expand the theoretical construction method of big data driven endogenous economic growth, so as to solve the mechanism obstacles and policy gaps encountered in the process of green economic development in the big data era; The author reconstructs the theory of green economic growth under the influence of large numbers, providing theoretical support for China's current Big data development strategy.