上海市内贸流通领域商务信用有效性分析——基于极限学习机的实证研究

Analysis of the Commercial Credit Validity in the Field of Domestic Trade Circulation in Shanghai——An Empirical Study Based on Limit Learning Machine

随着信用经济的不断发展,商务信用对商贸流通业发展效率的影响作用研究越来越得到学术界的重视,而商贸流通行业并非单向度的经济体,传统的线性回归模型难以进行计量处理。故以上海市为例,采用极限学习机对商贸流通的非线性网络进行模拟,并分离出商务信用的影响作用,结果表明在上海市构建完备的商务信用体系后,流通效率得到了有效提升。

With the continuous development of the credit economy,more and more attention has been paid to the influence of business credit on the development efficiency of trade and circulation industry.While the trade and circulation industry is not a one-way economy,traditional linear regression model can not fit perfectly when dealing with such a problem.Therefore,we try to simulate the nonlinear network of commercial circulation based on the extreme learning machine and separate the influence of business credit.The results show that the circulation efficiency has been effectively improved after the establishment of a complete business credit system in Shanghai.