Analyzing Technological Catch-Up: A Panel Threshold Approach to Human-AI Cooperation and Input-Output Efficiency

This study examines the influence of the human-AI cooperation environment on input-output efficiency within the context of technological catch-up. Recognizing that technological catch-up is contingent upon specific conditions, we utilize a panel threshold model, specifically a dual panel threshold model, for our analysis. This approach allows us to investigate how threshold variables moderate the relationship between the human-AI cooperation environment and input-output efficiency. By identifying these threshold effects, the study aims to provide a nuanced understanding of the conditions under which human-AI collaboration can effectively contribute to technological advancement and enhanced efficiency.