[Carbon Neutrality Evaluation and Spatial Correlation Characteristics of Provincial Agriculture in China]

In the context of China's goal of achieving carbon neutrality by 2060， an accurate assessment of the degree and spatial spillovers of provincial agricultural carbon neutrality has great significance for formulating effective mitigation strategies and promoting regional and national carbon emission management. This study precisely defined the systematic boundary of agricultural carbon emission and carbon sink and then constructed an agricultural carbon neutral evaluation model from the two dimensions of carbon source and carbon sink. The entropy weight TOPSIS method was adopted to evaluate the degree of agricultural carbon neutrality at the provincial level in China empirically and explore the spatial correlation characteristics. The results showed that the agricultural carbon neutrality is highest in the northeast， followed by the west， central， and east regions. The agricultural carbon neutrality exhibits clear and consistent spatial dependence， as well as local spatial agglomeration. Rural income， agricultural technology， financial investment， and industrial structure can significantly promote agricultural carbon neutrality. However， these factors have the potential to exert a negative spatial spillover effect. Consequently， it is imperative to employ a multitude of strategies in these regions to promote agricultural carbon neutrality.