Analysis of Rural Labor Transfer Based on Network Data Mining and Financial Time Series Statistics

Abstract

The in-depth study of rural labor transfer and rural land transfer is of great significance for promoting economic development, agricultural modernization, and protecting the interests of farmers. Based on the network data mining technology, this study combines the financial time series statistics to analyze the labor transfer in China and simulates the effective strategies of rural labor transfer and management through model simulation. The study shows that after China has jumped over Lewis’ first turning point under the premise of objective development inevitability, our country must not only accelerate the smooth transfer of agricultural labor, but also pay more attention to the improvement of agricultural labor productivity. At the same time, our country needs to improve agricultural labor productivity, in particular, to improve labor technology and promote the transformation of China’s dual economic structure.