Study on the Impact Effect of Trade Openness on Carbon Emissions——Empirical Estimation Based on China's Interprovincial Panel Data from 2010 to 2020
In the context of trade openness and the"double carbon"goal,China's inter-provincial panel aggre-gate sample data from 2010 to 2020 are divided into two groups of sample data,namely,high-level trade openness areas and low-level trade openness areas,and the impacts of trade openness on trade openness in the two groups of sample data are examined through the fixed-effects model and systematic GMM estimation method.The impact of trade openness on per capita carbon dioxide emissions and carbon intensity in the two groups of samples is exam-ined through the fixed effects model and the systematic GMM estimation method,respectively.It is found that trade openness has a significant positive effect on China's carbon emissions,and trade openness increases carbon emis-sions,but there is a significant difference in the impact of trade openness on carbon emissions,and the carbon e-missions induced by regions with a low level of trade openness are much higher than those induced by regions with a high level of trade openness.At the same time,the environmental Kuznets curve hypothesis exists in both regions with high levels of trade openness and regions with low levels of trade openness;the inflow of foreign direct invest-ment helps to reduce China's carbon emissions.The results of the study have some policy implications on how to reduce carbon emissions while deepening trade openness among regions with different levels of trade openness.
NETL
NSTL
万方数据
