Decomposition of Decoupling Elasticity and Influencing Factors of Agricultural Carbon Emissions in Hubei Province
As one of the important grain production bases in China,Hubei Province's agricultural carbon emissions are related to the balance between the ecological environment and economic development,and has great significance for achieving the goal of sustainable development.The emission coefficient method was used to measure the total amount,intensity and composition of agricultural carbon emissions in Hubei Province from 2005 to 2022,and the decoupling relationship with economic development and agricultural carbon emissions,as well as the influencing factors of agricultural carbon emissions were analysed based on the Tapio decoupling model and the LMDI model,respectively.The results showed that:from 2005 to 2022,the agricultural carbon emissions in Hubei Province show a trend of increasing and then decreasing;in the composition of the agricultural carbon emissions in Hubei Province,were as follows:fertiliser,pesticide,diesel,agricultural film,irrigation and sowing;the intensity of the agricultural carbon emissions decreased year by year;the decoupling elasticity between agricultural carbon emissions from the economic growth showed the evolution of the trend from a weak decoupling to a strong decoupling;the level of agricultural economic development had the most obvious promotion effect on agricultural carbon emissions,and agricultural production efficiency also had a certain promotion effect on carbon emissions,but the result was not significant;the size of the agricultural population and the structure of the agricultural industry could inhibit the growth of carbon emissions.Based on this,Hubei Province should base on the basic advantages of a large agricultural province,fully explore the potential of agricultural emission reduction and carbon fixation,strengthen agricultural technological innovation,and improve the quality of agricultural labour to promote carbon emission reduction.
Hubei Provinceagricultural carbon emissionscarbon emission intensityTapio decoupling modelLMDI model