Influencing Factors Model of Carbon Emissions from a Global Perspectives

Abstract

This paper studies the relationship and differences between carbon emissions and industrial development in four countries with different development levels from a global perspective. First, the Tapio decoupling model was established, and the overall dependence of countries of various development levels on carbon emissions was analyzed from strong to weak. Then, establish a panel data model to study the influencing factors of carbon emissions in countries with different development levels from 2015 to 2019. The results show that the added value of industry and agriculture has a significant positive effect on carbon emissions in countries of various development levels, and forest area has a significant negative effect on carbon emissions. Developed countries are still the largest emitters. Therefore, industrial and agricultural production is still the most important factor affecting carbon emissions, and the increase in forest area helps reduce the impact of carbon dioxide.