Research on Risk Assessment and Prevention of Strategic Emerging Industries Based on Big Data Thinking: The Case of the New Energy Automobile Industry

Strategic emerging industries play a vital role in overall long-term economic and social development. However, strategic emerging industries face challenges such as insufficient independent innovation capabilities, a lack of strong support in terms of talent and funding, and incomplete institutional mechanisms, resulting in high risks for industries. Therefore, the issue of risk assessment and prevention for emerging sectors of strategic importance has gained attention in the academic community. However, most existed studies of the industry risk mainly focused on summarizing and interpreting risk phenomena, deeply systematic classification and quantitative analysis of various risks were largely unclear. Big data thinking guides industrial innovation by including diverse data. The development of big data thinking can make up for the shortcomings of traditional risk identification methods, such as incomplete data, excessive attention to accuracy, low data utilization, etc. In this study, the industrial risk assessment system was firstly constructed based on the guidance of big data thinking from the perspective of both internal risk and external risk. Then, the entropy weight method and cloud model were combined to evaluate the industry risk. The new energy automobile industry is representative of the development direction of strategic emerging industries. The associated risk was evaluated based on entropy weight-cloud model in China. The results showed that the impact of external risk on the industry was greater than the internal risk, and the industry risk was at a higher medium level. Finally, some suggestions for preventing industry risk were proposed on the basis of risk analysis, such as improving the industry’s own management capacity, promoting product and technological innovation, reducing market risk, etc.