Rural E-Commerce Based on Probabilistic Neural Network Model
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 ana
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Rural E-Commerce Based on Probabilistic Neural Network Model Yuan He, Yangxu Li and Hong Xu
Abstract 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.
Keywords Rural ITs Information economy Principal component analysis
Neural network E-commerce
59.1 Introduction Agriculture was a clear leader in reform; however, it is now lagging behind other sectors. China’s rural economy faces many serious challenges, especially in the disaster area after Wenchuan earthquake happened on 12 May, 2008. The gains of
Y. He (&) Y. Li H. Xu School of Management, Chengdu University of Information Technology, Chengdu, Sichuan, People’s Republic of China e-mail: [email protected]
Z. Zhong (ed.), Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012, Lecture Notes in Electrical Engineering 219, DOI: 10.1007/978-1-4471-4853-1_59, Ó Springer-Verlag London 2013
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economic growth have not been fairly shared between urban and rural residents. Many parts of the agricultural and rural sector remain underdeveloped. Rural residents confront tremendous barriers when they enter the non-farm sector and find jobs in cities. Managing the reform rural development of disaster area needs to change the role and organization of the government. Establishing efficient governance at the local and regional levels while increasing accountability, however, remains a major challenge. By the end of 2011, there are more than 20 million rural enterprises in China, providing more than 128 million jobs, or about 27 % of China’s total rural labor force, and contributing about one-third to China’s gross industrial value added [1]. From 1978 to 2010, industrial output value of rural enterprise has been growing at an average rate of 18.9 %, compared to 7.4 % for state-owned enterprises (SOEs). By the end of 2009, more than 90 % of rural collective enterprises in China have been restructured (privatized) [2]. We argue that such an approach is too simplistic, and the fortunes of rural enterprises are related not only to the arrangement of property rights, but also to many other factors including their capabilities of technological i
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