Construction of Spatiotemporal Difference Image of the Impact of Financial Structure on China's Total Factor Productivity.

Yong Yu,Bai Yuan Ding

doi:10.1155/2021/7468866

Abstract

My country's current research on the influencing factors of total factor productivity has problems such as single evaluation method, low efficiency, and poor overall level in terms of evaluation methods and evaluation efficiency. Based on this, this study divides the financial structure into three traditional sections, banking, securities, and insurance, and uses the DEA model to study the temporal and spatial differences of the financial structure's influence on the total factor productivity of the four major political and economic regions of China's eastern, western, central, and northeastern China. First, establish a DEA model based on data mining algorithms, combine financial data comparisons over the years, to achieve a quantitative analysis of the financial structure's impact on China's total factor productivity, calculate financial efficiency, and then combine the DEA analysis data model with the grey correlation method. Analyze its internal influence rules, and design experiments for model verification analysis. The results show that the DEA analysis model can realize 8 iterations of data on the impact of financial structure on China's total factor productivity, and its evaluation accuracy can reach more than 96.2%.

Highlights

In recent years, with the deepening of China’s reform and opening up and deepening reform, China’s financial structure has been iteratively optimized, which has been greatly changed and improved
In the 21st century, with the emergence and application of the data model, the economic analysis model, and the data envelopment analysis model (DEA) model, an opportunity for large-scale analysis and calculation of total factor productivity based on informatization and digitization is provided [2]
This paper studies the spatial spillover effect of new nanomaterial emerging industry agglomeration on regional economic growth and puts forward a spatial spillover effect evaluation method of new nanomaterial industry regional economic growth based on the DEA model

Summary

Introduction

With the deepening of China’s reform and opening up and deepening reform, China’s financial structure has been iteratively optimized, which has been greatly changed and improved. Is is because the innovation of this paper is to construct the evaluation method of the financial structure’s impact on China’s total factor productivity through the DEA model On this basis, the model can achieve multiregional evaluation and the record and storage of the financial structure and China’s total factor productivity impact can make full use of the spatial spillover effect information such as the economic expenditure and income record data between each region to calculate the financial efficiency of each financial sector. The grey correlation method is used to quantitatively describe the correlation between the economic behaviors of various regions and regional locations, and the financial structure and China’s total factor productivity are prioritized by quantitative indicators. e combination of image recognition methods can effectively affect different regions

Related Work

Methodology

Analysis and Discussion