Assessing High-Tech Innovation Efficiency in Incomplete Factor Markets: A Three-Stage DEA-Window Perspective on Scale and Allocation Efficiency

Abstract

This study investigates the efficiency of high-tech innovation under conditions of incomplete factor markets, focusing on scale and allocation efficiency. Drawing upon the three-stage Data Envelopment Analysis (DEA)-window approach, the research assesses the efficiency of high-tech innovation activities by considering both the scale of operations and the allocation of resources over time. By utilizing a comprehensive dataset encompassing multiple dimensions of innovation inputs and outputs, the study evaluates the performance of high-tech firms in utilizing available resources to generate technological advancements and commercial innovations. Specifically, the research examines how firms adjust their production scales and resource allocations in response to market imperfections, regulatory constraints, and technological uncertainties. Through empirical analysis, the study identifies inefficiencies in scale utilization and resource allocation, highlighting potential areas for improvement in high-tech innovation management. Moreover, it explores the impact of external factors such as industry structure, technological spillovers, and government policies on innovation efficiency in incomplete factor markets. The findings offer insights for policymakers, industry leaders, and researchers seeking to enhance the effectiveness of innovation policies, investment strategies, and resource allocation mechanisms in promoting high-tech innovation and economic growth.