The Driving Model of National Economic Innovation and Its Empirical Study Based on Semi-Parametric Additive Model

This paper introduces an important model that can be widely used in semi-parametric methods in recent years, the analysis of the additivity model, to more accurately describe the deep impact of information technology on national economic innovation and subdivides information technology into inflows and outflows, and examines the direction and intensity of the impact of inflows and outflows of information technology on China's national economic innovation. When the linear part is constrained, we construct Ridge Estimators Based on profile least squares method and backfitting method, discuss the properties of the estimators, and finally verify the validity of the estimators by numerical simulation. We hope to more fully reveal the reasons for the unbalanced development of China's regional development caused by the flow of information technology.