Studying the Factors that Affect the Synergy between Logistics' Benefits and the Environment's Outcomes

The logistics industry's rapid expansion has drawn scrutiny from regulators and environmentalists alike since it is one of the top emitters of greenhouse gases. A dataset could predict the total CO2 emissions from China's logistics industry from 2010 to 2020. The Logarithmic Median Divisia Indicator (LMDI) model considers five factors related to carbon dioxide emissions: emission coefficients, power intensity, power structure, economic status, and population dimensions. In addition, Matlab tools are used to analyze the data. The growth of the economy, the rise of the population, and the consolidation of political power are the primary drivers of CO2 emissions in the logistics sector. However, power intensity is the main limiting factor. Carbon dioxide emissions are affected by many factors and change over time. The synergy between logistics and ecological environment (SbLEE) method is proposed in this article. It needs to speed up energy restructuring, cut down on carbon-heavy fuels (such as petroleum), expand the reach of the transportation infrastructure, and improve productivity. In addition, it must improve government-business collaboration, provide workable policy choices, and perform exemplary preliminary work and logistics configuration at the highest levels. The experimental results show the proposed SbLEE to analyze greenhouse emissions of 1323%, emission factor analysis of 4.3%, efficiency ratio of 41.6%, and accuracy ratio of 78.6% compared to other methods.