Analysis of China's Intelligent Logistics Policies based on Text Mining

Abstract

Based on text mining technology, this paper provides a comprehensive analysis of China's intelligent logistics policies. Through the descriptive statistical analysis of the annual release volume, types and subjects of policy texts, the dynamic trends, dominant forms and major sectors of policy releases are revealed. Using the TF-IDF algorithm to extract keywords and combining with the LDA thematic model analysis, it is found that the key areas of the policies include: improving the service capacity of enterprises, cold chain logistics construction, supply chain synergy, green standardisation, etc., and the main paths of implementation are: deepening the reform, increasing the investment, optimising the layout, etc. to improve the quality, improving the coordinating mechanism, promoting the synergy through the innovative model, building the green assessment system, promoting new energy transportation, unifying the standard process, etc. to promote the low-carbon transport. The main implementation paths are to deepen reform, increase investment and optimise layout to improve quality, improve coordination mechanisms and innovate models to promote synergy, build a green assessment system, promote new energy transport and unify standard processes to promote low-carbon transformation. The policy will mobilise the participation of enterprises, the state and industry organisations, of which enterprises are the main innovators and applicators, the state provides strategic support and regulatory guidance, and industry organisations promote the implementation of the policy. At the same time, it focuses on international integration, encourages "going out", guides the participation of foreign capital, deepens cooperation and cultivates international competitiveness. Finally, it puts forward suggestions on top-level policy design, sectoral coordination, tool innovation, enterprise main body, social participation, policy evaluation and continuous investment.