Research on Influencing Factors of Low-Carbon Total Factor Productivity of Aviation Logistics Enterprises

This paper incorporates carbon emissions as an undesired output into the total factor productivity analysis framework. Based on the super-efficiency DEA and Malmquist-luenberger index, this paper measures the low-carbon total factor productivity of China’s listed aviation logistics companies from 2012 to 2018, and constructs a two-way fixed effect model to analyze the influencing factors of low-carbon total factor productivity. The empirical test results show that the quality of labor factors and profitability have a positive effect on the low-carbon total factor productivity of China’s listed aviation logistics companies, while listing time and operating capacity are negatively correlated with the low-carbon total factor productivity.