Abstract
Whether in developed or developing countries, the aggregation of economic enterprises within cities or regions is becoming more and more common. While this aggregation brings benefits to cities and people, there are also problems, such as urban unemployment. Rate. This paper studies the impact of three elements of urban agglomeration-induced changes in urban GDP, urban population mobility, and urban inflation on urban unemployment. In this paper, the method of spatial econometric analysis is used to build a forecasting model to perform linear regression analysis on the data of fifty states in the United States, and to test the built forecasting model. According to the study, there is a positive correlation between changes in urban GDP, urban population mobility, and urban inflatio and urban unemployment.
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