Research on Innovation Non-Equilibrium of Chinese Urban Agglomeration Based on SOM Neural Network

Abstract

Different indicators, such as the number of patent applications, the number of grants, and the patent conversion rate, were proposed in this study to analyze the issue of innovation imbalance within and between urban agglomerations from a new perspective. First, a preliminary analysis of the current state of innovation and development of China’s nine urban agglomerations was conducted. Then the Theil index, widely used in equilibrium research, was employed to measure the overall innovation gap of China’s urban agglomerations. The study innovatively used the self-organizing feature map to identify the correlation characteristics of the innovation and development within China’s urban agglomerations and visualize them through Geographic Information Science. The research findings show that the hierarchical differentiation of the innovation and development of China’s urban agglomerations is becoming increasingly clear, and that the imbalance in regional innovation development is pronounced. The imbalance in innovation development within urban agglomerations is more significant than the imbalance in innovation development among urban agglomerations. The analysis indicated that a possible cause is the crowding effect and administrative standard effect of the central city. The key to addressing this problem is promoting innovative and coordinated development between regions.

Analysis of Efficiency of Human Resource Management Evaluation Model Based on SOM Neural Network

“…If only the lowest index, that is, the basic evaluation index, is considered as the input and the middle index is not considered, the whole evaluation system is regarded as a black box, and finally an output, that is, the benefit degree, is obtained. In this way, the whole evaluation system can be regarded as a black box of complex nonlinear functions, which actually has something in common with the mesh evaluation index system, and also conforms to the characteristics that human resource management is a large system with complex mechanism [21].…”

Is China’s Urbanization Inclusive?—Comparative Research Based on Machine Learning Algorithms

“…However, the difference was smaller in the multi-indicator classification results. This shows that China's urbanization is unbalanced [41][42][43]. Based on the classification results of the machine learning algorithm, it was found that this imbalance is manifested in many aspects, such as level of education.…”

Study on the Coupling Coordination Development between the Digital Economy and Innovation Efficiency: Evidence from the Urban Agglomeration in the Middle Reaches of the Yangtze River

“…This may be due to the fact that provincial capital cities have richer innovation resources and have accumulated a great deal of innovation experience, which continues to attract an inflow of talent and resources from neighboring cities, leading to a further increase in the innovation gap. In addition, the inequitable distribution of innovation resources by the government may also contribute to this phenomenon [72].…”