| One of the most important problems for all humans is the global climate warming.Global warming has several causes,but one of the main ones is excessive carbon emissions.It is critical to reduce carbon emissions as soon as possible.Currently,nations all over the world are actively lowering carbon emissions in an effort to halt global warming.Carbon emissions come not only from industrial production,but also from modern agricultural production.China’s central region is a significant agricultural production region.A key reference point for the growth of low carbon agriculture across the entire nation is how to implement suitable measures to support the reduction of agricultural carbon emission rates in accordance with the current condition of agricultural carbon emission rates.Using the pertinent data for central China from 1993 to 2019,this paper analyzes the current state of the region from two perspectives: the current status of agricultural carbon emissions and its driving forces.In the context of analyzing the current situation,according to variables related to land use and agricultural inputs,this study builds a measurement system for agricultural carbon emissions and estimates the agricultural carbon emissions of each province in central China.Subsequently,ANOVA,rank-sum test,and paired sample test were used to investigate the differences between the structural and spatial characteristics of agricultural carbon emissions in central China.Also,it is clear how differently shaped each province is.The driving variables of agricultural carbon emissions in central China are examined using the Lasso and elastic net models in this study,and the final model is chosen based on the modified goodness of fit and mean square error of the two models.The findings demonstrate that all provinces’ regression models significantly benefit from the employment rate in rural areas,the proportion of high school alums,and the consumption of power in rural areas.In different provinces,the effect of trade level on agricultural carbon emissions varies.With the exception of this index,all other influencing elements’ positive and negative indications support economic theory and demonstrate consistency throughout the three provinces.In Henan and Hubei provinces,the interaction between the economy and the environment is shaped like an upside-down "U".The research findings of this paper offer pertinent recommendations for the future growth of low-carbon agriculture in central China and the promotion of carbon emission reduction,according to the findings. |