Abstract

Based on the dual perspective of input-output and network analysis, this study takes typical industrial sectors of China’s entertainment industry as representatives. Through the input-output analysis of industrial correlation characteristic indicators and construction of an industrial correlation network, we conduct a systematic and quantitative study on the entertainment industrial correlation characteristics and structural characteristics of the industrial correlation network in China. Furthermore, we clarify the role of the entertainment industry in China’s industrial development and its positioning in China’s whole industrial correlation network. We have the following key findings: China’s entertainment industry as a whole shows the characteristics of final demand-oriented industries, whose rapid development plays a certain positive role in boosting consumption and driving economic growth. Within the whole industrial correlation network in China, there is frequent interaction between the entertainment industry and other industry sectors within the directly related network; it will especially exert obvious radiation and driving effect on the upstream industry. However, limited by the scale of the direct industrial correlation network, such influence is still difficult to achieve the common development of most industries in China.

Highlights

  • Based on the dual perspective of input-output and network analysis, this study takes typical industrial sectors of China’s entertainment industry as representatives. rough the input-output analysis of industrial correlation characteristic indicators and construction of an industrial correlation network, we conduct a systematic and quantitative study on the entertainment industrial correlation characteristics and structural characteristics of the industrial correlation network in China

  • The research methods of network analysis have been widely used in most practical network research fields such as sociology, economics, and communication [7,8,9], especially in the field of industrial economics. e analysis of the industrial correlation network based on the input-output relationship has basically formed a relatively mature research framework, which provides new research tools for revealing the characteristics of the interconnected network between industrial sectors and grasping the direction of macroindustrial structure optimization

  • In the current related research on industrial correlation networks, the main research idea is to abstract each industrial sector as a node in network analysis and use the 0-1 adjacency matrix formed by filtering various coefficients in the input-output model as the directed edge basis to build an industrial correlation network and quantitatively analyze the overall structural characteristics and node characteristics of the industrial correlation network such as network density, clustering coefficient, symmetry, and centrality degree, to systematically study the positioning of each industry sector and the characteristics of the overall industrial correlation structure in the industrial correlation network [10]

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Summary

Research Article

Research on the Structural Characteristics of Entertainment Industrial Correlation in China: Based on Dual Perspective of Input-Output and Network Analysis. In the network analysis stage, the research first converts the direct consumption coefficient matrix obtained from the input-output analysis into a binary adjacency matrix and uses the binary data to construct an industry-correlated network covering China’s 149 industrial sectors, so as to fully display the structure of the linkages between the various industrial sectors of the national economy. According to the calculation results of the direct consumption coefficient, “entertainment” and “radio, television, film, and video recording production” will have a direct consumption relationship with other 111 and 99 industrial sectors, respectively, in the production process It shows that the core sector of China’s entertainment industry will produce direct demand for most other industrial sectors in the production process and has a wide range of pulling capacity for the development of upstream industries. Representing the film and television entertainment industry, the radio, television, film, and video recording production industries have

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Intermediate investment rate
Inducing coefficient
Network density
Betweenness centrality
Findings
Conclusion
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