Study on the Relationship between Economic Complexity and Carbon Emission Reduction in the Logistics Industry
Examining the relationship between economic complexity and carbon emissions in the logistics industry is of great significance in reducing carbon emissions and promoting the sustainable development of the logistics industry.This study utilizes logistics industry data from 2001-2020 to measure carbon emissions from the logistics industry,and imports the new variable of economic complexity within the framework of the traditional Environmental Kuznets Curve(EKC),and tests the causal relationship between the variables using the Granger Causality Test.The results of the study show that:(1)There is a bidirectional Granger causality between economic complexity and carbon emissions from the logistics industry.(2)The results of coefficient estimation show that there is a non-linear relationship between economic complexity and carbon emission of logis-tics industry.That is,when economic complexity is increased to a certain degree,economic complexity can promote carbon e-mission reduction in the logistics industry.Based on this,in order to promote carbon emission reduction in the logistics industry and to facilitate the green and low-carbon transformation of the logistics industry,economic complexity should be taken into account as an important factor for policy consideration and a corresponding incentive mechanism should be established.
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