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

  • Bowen Guan
  • Xinze LiEmail author
Conference paper
  • 13 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1088)

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.

Keywords

Data mining Financial time series Statistical analysis Rural labor Transfer 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.College of AccountingJilin University of Finance and EconomicsChangchunChina
  2. 2.Department of Public Foreign Language Teaching and ResearchJilin University of Finance and EconomicsChangchunChina

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