At 3:00 p.m. on January 9, 2020, Professor Yang Zili of Binghamton State University of New York was invited to visit and make an academic report entitled "the economy is bright --- a geography of light". Professor Liao Hua presided over this report, and teachers and students of the school of management and economics participated in this report.

　　Professor Yang Zili is a professor of economics at Binghamton University, New York State University, a part-time professor at Beijing University of technology and a doctor of economics at Yale University. He is mainly engaged in the research of resource and environmental economics, energy economics, economic modeling, applied game theory, Chinese economy and other aspects, and is the author of "strategic bargaining and cooperation in greenhouse gas migrations: an integrated Assessment modeling approach "(MIT Press). Professor Yang cooperated with Yale University Professor William D. Nordhaus, the winner of the 2018 Nobel Prize for economic science, to develop and establish the most influential comprehensive assessment model of climate change (rice) in the world. The model and its derivatives have been widely used in the reports of the Intergovernmental Panel on climate change (IPCC). Their cooperative papers have been published in American Economic Review (this is one of Nordhaus's two core works that won the Nobel Prize). In addition, Professor Yang is the first scholar in the world to introduce non-cooperative game solution and cooperative game solution into large-scale comprehensive evaluation model. He is the primary modeler of the EPPA model of Energy Laboratory of Massachusetts Institute of technology in the 1990s.

　　In this report, Professor Yang uses geographic information to directly infer the statistical connection between spatial variables, studies the "phototaxis" of socio-economic indicators in the spatial environment, and uses the relevant data of 18 cities in the United States for empirical test. It is found that the sufficient conditions of the geographical characteristics of the variables ensure their statistical inference, and the results have certain reference value for the application of GIS in economic analysis and policy making. At the end of the report, we discussed the specific methods, data acquisition and results of the study, and took a group photo.