Research on the Mechanism and Effect of Machine Learning on Economic Growth in the Optimization of Supply Structure

Abstract

In the context of the country's requirements for promoting supply-side structural reforms and the construction of innovative cities, as an important part of the current urban innovation engine and planning and construction, the optimization of the real estate supply structure will promote urban economic development through innovative output, and excellent real estate supply the interaction between structure and innovation is related to the level of economic growth of a city. Therefore, it is particularly important to study the influence mechanism of the optimization of real estate supply structure on economic growth. Starting from the supply side, this paper uses the coupling coordination degree model to measure the optimization degree of the real estate supply structure, uses the four-sector economic general equilibrium model and the acceleration effect model theory to analyze the impact mechanism of the real estate supply structure optimization on economic growth, and selects China 2010-2020 Data from 34 metropolitan central cities have empirically tested the mediating role of innovation output in the impact of real estate supply structure optimization on economic growth and the acceleration effect of real estate supply structure optimization on economic growth, and the robustness analysis has verified the reliability of the conclusions.