The National Statistical Science Research Organization and Management Office issued the Announcement on the Establishment of National Statistical Scientific Research Projects in 2021. After the procedures of topic selections, open tendering, application acceptance, qualification examinations and strict evaluations, 20 projects were finally approved. Among them, there is a research project Research on the Matching Degree between Big Data Resources and the Demand of Government Statistical Products by professors of the School of Management and Economics, The Chinese University of Hong Kong, Shenzhen.
It is learned that the National Statistical Scientific Research Project is a scientific research project opened towards universities, research institutes and relevant units across the country by the National Bureau of Statistics, and the topic selection is determined with reference to the project guide issued by the National Bureau of Statistics. This project focuses on major theoretical and practical problems in statistical reform and construction, and strives to develop statistical science.
The Research on the Matching Degree between Big Data Resources and the Demand of Government Statistical Products is chaired by Su Yuteng, general manager of Shenzhen Qhdata , and led by Professor Zhang Bohui, Executive Associate Dean of School of Management and Economics and Associate Dean of Shenzhen Institute of Data Economy, Professor Ai Chunrong, Presidential Chair Professor of School of Management and Economics and Associate Dean of Shenzhen Institute of Data Economy, and Dr. Wu Haifeng, Director of FinTech Research Center of Shenzhen Institute of Data Economy. The research will list several application cases of big data resources in government statistics, analyze the application value, research methods and pathways, reveal existing problems, and put forward operational suggestions for improvement. The main components include: empirical analysis of the application of big data resources in statistical investigation; existing bottleneck problems and solutions; suggestions on applying big data to promote statistical investigation.
Researchers say that big data is undoubtedly empowering government statistics. From the effect point of view, the use of big data resources in verifying the accuracy of statistical data, improving the sampling frame, supporting real-time monitoring and forecasting, expanding the scope of statistical investigation, etc., has achieved remarkable results through empirical research. In this study, researchers put forward solutions to the six difficult problems in the process of realizing the applications of big data resources in statistical investigation, and propose suggestions on big data applications to local statistical departments from the perspective of application scenarios.
There are four major innovations in this research: First, relevant viewpoints come from a large number of big data application cases; second, specific problems emerging during the application processes are analyzed in depth; third, problems encountered by statistical departments in big data utilization process are addressed, such as difficulties in sourcing, operations and applications; fourth, feasible suggestions are put forward.