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.
Reference14 articles.
1. Mohamad Kassem, Amjad Ali, and Marc Audi, “Unemployment Rate, Population Density and Crime Rate in Punjab (Pakistan): An Empirical Analysis”, BBE, vol. 8, no. 2, 2019, pp. 92-104,
2. Edmark, K. Unemployment and crime: Is there a connection?. Scandinavian Journal of Economics, 107(2), 2005, pp.353-373, https://doi.org/10.1111/j.1467-9442.2005.00412.x
3. Y. Zenou, Unemployment in cities，J.-M. Huriot, J.-F. Thisse (Eds.), Economics of Cities, Cambridge University Press, Cambridge, ch.10, 1999, pp. 343-389,
4. Y. Zenou, Urban unemployment, agglomeration and transportation policies. Journal of Public Economics, 77(1), 2000, pp. 97-133. https://doi.org/10.1016/S0047-2727(99)00083-3
5. W. F Pan, Does the stock market really cause unemployment? A cross-country analysis. The North American Journal of Economics and Finance, 44, 2018, pp.34-43. https://doi.org/10.1016/j.najef.2017.11.002