Abstract
The transfer price of land management rights, as a key component of deepening rural reform at the 20th National Congress, profoundly influences the direction of agricultural production. Analyzing the land transfer management rights price differences can provide a deep understanding of regional transfer patterns and promote efficient land transfer. This study employs the SES framework to investigate factors of land transfer price differences by integrating correlation regression with the Boosted Regression Tree model. The results showed that (1) resource units determine land transfer management rights prices, with agricultural output value and net arable land income serving as core determinants. (2) City W is in the nascent land market, where the resource systems (RS) exert stronger influence. Key drivers include the transportation accessibility index and the proportion of flexible land. Compared to County K, where the land market exhibits full competition, the primary drivers of price shift from the resource systems to the governance systems and actors. Land transfer participants and the number of rural economic organizations become the main factors. Within the same Eastern black soil region, the transfer price differed by several thousand yuan per hectare. This disparity stems from differences in the two driving structures, necessitating the precise implementation of land transfer policies.