Measurement and driving factors analysis of carbon emission efficiency of farmland in Jilin Province under the"dual carbon"goal
Based on the dual perspectives of carbon source and carbon sink,we use the global SBM model with non-expected output to estimate the carbon emission efficiency of agricultural land use in 9 prefecture-level cities in Jilin Province during 2010-2022,and investigate its spatial distribution and spatial-temporal evolution with the help of the global Moran index,Kernel density estimation,Gini coefficient and Theil index.Finally,the driving factors of carbon emission efficiency of cultivated land use in Jilin Province were discussed through the geographical detector model,aiming to provide the inspiration for promoting the realization of"dual carbon"goal in Jilin Province.The results showed that the average carbon emission efficiency of cultivated land in 9 prefecture-level cities of Jilin Province increased first,then decreased and then increased with the increase of year,and the increase trend was significant in the later period.In terms of space,there is a regional agglomeration effect,mainly concentrated in the central region.At the provincial level,the two-level differentiation was obvious,but the regional disparity was reduced,and the carbon emission efficiency of cultivated land use tended to be average.According to the results of geographical detector,the industrial structure is the main driving factor,and its effect intensity is increasing.Most of the interaction detection factors had a significant impact on the efficiency,and it was found that the interaction factors of urbanization rate or farmers income level played a major role in the spatial distribution difference of cultivated land carbon emission efficiency in Jilin Province.
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