Research on the Efficiency Measurement and Improvement Paths of the Logistics Industry Innovation Ecosystem

The logistics industry, as a rapidly developing composite service industry in China, provides a solid foundation for successfully building a "strong logistics nation," optimizing the operation of related industries, and enhancing competi-tiveness. According to statistics from the National Development and Reform Commission, the total social logistics volume in China has maintained steady growth in recent years, ranking among the top globally. Despite this, the devel-opment model of China's logistics industry still suffers from a series of draw-backs such as "high input, high energy consumption, and low efficiency," which adversely affect the future high-quality economic development. Therefore, the state has successively issued several plans to reduce costs and increase efficien-cy in the logistics industry, emphasizing that the logistics industry should grad-ually transition from a "quantity-oriented" model to an "efficiency-oriented" one, promoting the transformation and upgrading of the logistics industry's de-velopment model. Against this backdrop, measuring the efficiency of the logis-tics industry, identifying the formation paths of high logistics industry efficien-cy, and recognizing the key factors influencing logistics industry efficiency have practical significance for promoting the healthy and high-quality development of China's logistics industry. This paper, based on a holistic perspective and con-figurational thinking, uses the fuzzy-set Qualitative Comparative Analysis (fsQCA) method to explore the multiple concurrent causal relationships and di-verse paths of factors influencing high logistics industry efficiency from both internal and external industry dimensions.