Threshold Effects of Technological Catch-up on Human-AI Cooperation and Efficiency: A Panel Threshold Model Analysis

This study investigates the influence of technological catch-up on the relationship between human-AI collaboration environments and input-output efficiency. Taking into account the threshold condition of technological catch-up, we propose a panel threshold model (specifically, a dual panel threshold model) to analyze the impact of various threshold variables on this correlation. This approach allows us to explore the non-linear effects of technological catch-up on the relationship between human-AI cooperation and efficiency.