Spatial Distribution Patterns and Sustainable Development Drivers of China’s National Famous, Special, Excellent, and New Agricultural Products

China&rsquo:s National Famous, Special, Excellent, and New Agricultural Products are key rural economic assets, yet their spatial patterns and sustainability drivers remain underexplored. Based on the geospatial data of 1932 National Famous, Special, Excellent and New Agricultural Products in China, this study systematically analyzes their spatial distribution pattern by using GIS spatial analysis techniques, including the standard deviation ellipse, kernel density estimation, geographic concentration index and Lorenz curve, and quantitatively explores the driving factors of sustainable development by using geographic detectors. The research results of this paper are as follows. (1) The spatial distribution shows a significant non-equilibrium characteristic of &ldquo:high-density concentration in the central and eastern part of the country and low-density sparseness in the western part of the country&rdquo: and the geographic concentration index (G = 22.95) and the standard deviation ellipse indicate that the center of gravity of the distribution is located in the North China Plain (115&deg: E&ndash:35&deg: N), and the main direction extends along the longitude of 110&deg: E&ndash:120&deg: E. (2) Driving factor analysis showed that railroad mileage (X10) (q = 0.5028, p = 0.0025 &lt: 0.01), highway mileage (X11) (q = 0.4633, p = 0.0158 &lt: 0.05), and population size (X3) (q = 0.4469, p = 0.0202 &lt: 0.05) are the core drivers. (3) Three-dimensional kernel density mapping reveals that the eastern coast and central plains (kernel density &gt: 0.08) form high-density clusters due to the advantages of the transportation network and market, while the western part shows a gradient decline due to the limitation of topography and transportation conditions. The study suggests that the sustainable development of National Famous, Special, Excellent, and New Agricultural Products should be promoted by strengthening transportation and digital logistics systems, enhancing cold-chain distribution for perishable goods, tailoring regional branding strategies, and improving synergy among local governments, thereby providing actionable guidance for policymakers and producers to increase market competitiveness and income stability. The study provides a quantitative, policy-oriented assessment of China&rsquo:s branded agricultural resource allocation and its sustainability drivers, offering specific recommendations to guide infrastructure investment, e-commerce logistics enhancement, and targeted subsidy design for balanced regional development. The study highlights three key contributions: (1) an innovative integration of geospatial analytics and geographical detectors to reveal spatial patterns: (2) clear empirical evidence for policymakers to prioritize transport and digital logistics investments: and (3) practical guidance for producers and brand managers to enhance product market reach, optimize supply chains, and strengthen regional competitiveness in line with sustainable development goals.