Rural E-Commerce Based on Probabilistic Neural Network Model

摘要

The purpose of this study is to examine the digital divide in western rural areas of China. According to rural E-commerce development of Western China, we constructed evaluation index system, and used methods of principal component analysis and factor analysis to pretreat survey data, then input the data into probabilistic neural network for evaluating rural E-commerce construction in Sichuan. Results reveal: First, only a small portion of rural enterprises have access to the Internet, and the penetration rate of the Internet in rural western enterprises of China is much lower than that in urban enterprises; Second, large and old enterprises are more likely to have access to the Internet; Thirdly, Internet access demonstrates very strong and positive relationships with enterprises' economic and innovative performances. The study concludes that governments should promote Internet usage among rural enterprises.