Compensation pricing of rural residential land exit based on multi-agent complex adaptive system theory

Simulation of rural residential land exit pricing can provide reference compensation price and range for the government. The state encourages the conditional transfer of rural residential land and allows farmers who have already settled in urban area to exit the rural residential land willingly. The function evaluation and value accounting of rural residential land are important links to promote the transfer of rural residential land into the market, revitalize rural assets and protect farmers' land rights and interests. Three places were chosen as typical regions to study rural residential land exit, including Jiaxing City in the north Zhejiang plain, Yiwu City in the middle Zhejiang foothill basin and Taishun County in the south Zhejiang mountain area. Based on the law of distance attenuation, taking the designated town as the research unit, according to the distance between the rural residential land and the town center, the rural residential land was divided into urban villages, suburbs, outer suburbs, and remote areas. On this basis, the initial compensation amount for rural residential land exit in different regions and different locations was calculated based on the function of rural residential land. Built the simulation model in Java according to the actual rural residential land exit process. Then based on the complex adaptive system theory and multi-agent simulation method, this paper simulated the interaction behavior of micro-subjects and tried to price the residential land exit compensation from the scale of micro-farmers. The results showed that: 1) The compensation price range of rural residential land in different regions had significant differences, and the price gap between urban villages, suburbs, outer suburbs and remote areas in the same region was significant. All the urban villages of three regions had a low willingness to exit, which required more negotiations before they fully agreed to exit, while the villages of the remote areas had a relatively strong willingness to exit, among which the suburbs of Jiaxing City had the strongest desire to exit. 2) The stronger the farmer's willingness to exit, the less the number of interactions with the government in the negotiations, and the lower the increase in the price range. The urban villagers in three areas were the regions with low willingness to exit. They needed more negotiations to fully agree to exit, while the remote areas farmers' exit willingness were relatively strong. As the initial farmer's tough degree μ value increased, the number of iterations between farmers and the government increased linearly. Increasing the threshold of a tough degree would correspondingly increase the number of negotiations between farmers and the government and increase government costs. The amount of compensation that the government can increase in each negotiation is determined comprehensively by the local government's financial situation, administrative level and capacity to be close to civilians, which may vary in different regions. The larger the amount parameter (d) increased in each negotiation, the higher the total amount of the final exit compensation will be. Based on complex adaptive system theory, the multi-agent simulation method can provide new ideas for rural residential land exit pricing and scientific references for further improvement of rural residential land system reform.