High-Quality Development of Science and Technology Finance and Logistics Industry in the Yangtze River Economic Belt: Coupling Analysis Based on Deep Learning Model.

Abstract

Using the entropy method, the coupling coordination model, and the Tobit model, the coupling coordination degree of the high-quality development of science and technology finance and the logistics industry in the Yangtze River Economic Belt in China from 2009 to 2020 is measured, and its influencing factors are found. The study found that the overall coupling coordination degree of the Yangtze River Economic Belt has shown a rapid upward trend; the development gap of the interprovincial coupling coordination degree has a narrowing trend. Except for Sichuan Province, the average coupling coordination degree decreases from the downstream to the upstream; the mechanism analysis shows that the coupling effect of the two. There are scale effect, innovation effect, talent effect, and structure effect; the analysis of influencing factors shows that innovation effect and talent effect have the most obvious promoting effect on the coupled and coordinated development of the two. In addition, the upgrading of the industrial structure, the effective driving of science and technology, the improvement of the logistics foundation, and the further development of finance also have a positive effect on it. Finally, according to the conclusions, suggestions are put forward from five aspects: insisting on innovation, talent training, risk prevention, policy orientation, and industrial structure upgrading, so as to realize the further coupling of high-quality development of technology finance and logistics industry.