On the afternoon of September 15th, at the invitation of the School of Statistics, Beijing Normal University professor and doctoral supervisor Wang Yafei gave a lecture entitled Multi-regional input-output research in Chinese cities in the conference room 313 of Comprehensive Building, JUFE Jiaoqiao campus North District. This lecture was presided by Liu Xiaohui, the deputy dean of the School of Statistics. Some teachers and graduate students of the School of Statistics participated in this lecture.

At the beginning of the lecture, Professor Wang Yafei introduced the current multi-regional input-output research, which includes three main orientations: models, the construction and transformation of tables, and the application of various professional problems. Among them, the establishment of the model includes the improvement of the method, and the construction and transformation of the table should be combined with various related questions. The application of professional problems has the characteristics of new data, hot problems, and rapid response. Then, Professor Wang Yafei elaborated on the method of compiling the multi-regional input-output table of the city, and proposed four ideas for compiling the city table: one is to use the four municipalities in the province table as the city table to study; the other is to use traditional MRIO Table compilation method: need to fix the city and department, and the year of compilation; the third is to compile by nesting: the city needs to be separated from the existing MRIO; the fourth is to use the Chinese Lab flexible method.

Subsequently, Professor Wang Yafei conducted a case analysis on the MRIO structure of urban agglomerations. Case 1 introduces the employment effect and income effect of the floating population in Beijing-Tianjin-Hebei; Case 2 introduces the distribution structure of urban agglomerations in the Greater Bay Area; Case 3 is a nested analysis of the city table and the global MRIO database.

Professor Wang Yafei also put forward several opinions on the future research of input and output. First, common prosperity, inequality/poverty, population mobility, dual-carbon goals will become important research content; second, the capitalization of data elements is not equivalent to the decomposition of the value chain; third, the need to use the macro economic data and census data update the input-output table data; fourth, the expansion of the input-output method: the three-dimensional capital flow table can be transformed into a similar IO matrix, and the impact and effect of various financial shocks can be simulated through the IO model .

At the end of the lecture, the teachers and students present asked Professor Wang Yafei about input-output related issues, and Professor Wang Yafei answered each question in detail. Through this wonderful lecture by Professor Wang Yafei, the theory and practical analysis of the input-output research in the city’s multi-regions were fully demonstrated, which provided useful examples for the teachers and students of the School of Statistics to engage in input-output related research work, and improved the students’ understanding about input-output research

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Wang Yafei is a professor at Beijing Normal University, a doctoral supervisor, a selected candidate for the National High-level Young Talents Program, the chief expert of a major project of the National Social Science Fund, and a new century outstanding talent support program selected by the Ministry of Education; the main research direction is national economic accounting. Published more than 30 papers in top SSCI journals such as Economic Systems Research and important academic journals such as Statistical Research. Some of the results were selected as ESI Global Highly Cited Papers; published three monographs; hosted four National Social Science Fund projects (major Projects, key projects, general projects, youth projects), the Ministry of Education Humanities and Social Sciences Planning Fund Project, the Beijing Natural Science Foundation and the national ministries and commissions and other provincial and ministerial research projects; won the Ministry of Education Humanities and Social Sciences Outstanding Achievement Award , National Statistical Research Outstanding Achievement Award, Beijing Philosophy and Social Science Outstanding Achievement Award, and many other important scientific research awards; undertook various social services such as the National Bureau of Statistics, the Ministry of Finance, the Ministry of Education, and the various policy consultation of State Intellectual Property Office and think tank construction.