Abstract: Based on panel data from 31 provinces (autonomous regions and municipalities directly under the central government) in China from 2014 to 2023, the entropy weight method, coupling coordination analysis, kernel density estimation, obstacle factor analysis, and the spatial Durbin model were employed to explore the spatiotemporal evolution patterns and obstacle factors of the coupling coordination between high-quality agricultural development and rural revitalization. The results showed that from 2014 to 2023, the coupling coordination degree between high-quality agricultural development and rural revitalization across China exhibited a significantly positive spatial correlation in geographic space, with prominent regional disparities. The national kernel density curve displayed a unimodal agglomeration feature. Among the obstacle factors restricting high-quality agricultural development, the number of domestic patent applications accepted ranked as the most significant obstacle factor, while rural electricity consumption was the primary obstacle factor hindering rural revitalization. Agricultural innovation input exerted a significantly positive driving effect on the coupling coordination degree, accompanied by strong spatial spillover effects. Therefore, efforts should be intensified to increase investment in agricultural resources, and regional coordination should be integrated with targeted regulation to promote high-quality coordinated development across all regions.

Key words: high-quality agricultural development, rural revitalization, coupling coordination degree, spatiotemporal evolution, obstacle factors