Abstract
Financial support to agriculture is an important means by which to support agricultural development. While promoting agricultural economic growth, it also has an influence on the agricultural production environment. In order to explore the sustainable development of the agricultural economy, based on the provincial panel data of 31 provinces in China from 2000 to 2020, this paper uses Geoda software to construct a spatial distance weight matrix and uses Stata software to establish a spatial Durbin model of random effects, and analyzes the influence of the level of financial support to agriculture on the intensity of agricultural carbon emission (ACE). The results show that the support level has a significant spatial spillover effect, and that every 1% increase in the support level will increase the carbon emission (CE) intensity of the province by 0.1357% and the CE intensity of neighboring provinces by 0.0714%. Based on this, this paper puts forward suggestions that the structure of China’s financial support to agriculture needs to be further optimized, and that it is necessary to use such support to coordinate emission reduction.
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