42 Years of Urban Growth and Industry Composition
In recent decades, knowledge spillovers have taken the helm as the driving force of growth in cities. The ease of communicating ideas and the sheer density of large urban areas have made this a plausible explanation for continued growth of employment and population in cities. However, there is little consensus on the nature of the optimal conditions for stimulating knowledge spillovers. This paper identifies these optimal conditions by exploring the relative importance of industry specialization, diversity and competition across all industries and all metropolitan areas from 1970 to 2011 in the U.S. Long-term employment growth in cities is found to be driven by industry diversity combined with a high level of competition. This combination fosters the greatest amount of cross-industry fertilization of ideas and knowledge spillovers.
KeywordsUrban growth Agglomeration Diversity Specialization Competition
JELO1 R0 R1
- Audretsch, D. B., & Feldman, M. P. (1996). R&D spillovers and the Geography of innovation and production. The American Economic Review, 86(3), 630–640.Google Scholar
- Ciccone, A., & Hall, R. E. (1996). Productivity and the density of economic activity. American Economic Review, 86(1), 54–70.Google Scholar
- Combes, P., Gobillon, L., (2015). Chapter 5 - The Empirics of Agglomeration Economies. In Duraton, G., Henderson, J.V., Strange, W.C. (Eds.), Handbook of Regional and Urban Economics vol. 5 (pp. 247–348). Elsevier.Google Scholar
- Flood, S., King, M., Ruggles, S., Warren, J.R., 2015. Integrated public use microdata series, current population Survey: Version 4.0. (machine-readable database). Minneapolis: University of Minnesota. Accessed 1 Feb 2016.Google Scholar
- Gibson, C. (1998). Population of the 100 Largest Cities and Other Urban Places in The United States: 1790 To 1990. https://www.census.gov/population/www/documentation/twps0027/twps0027.html. Accessed 27 Apr 2017.
- Glaeser, E.L., Gottlieb, J.D., (2009). The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States. NBER Working Paper 14806.Google Scholar
- Hall, A. R. (2005). Generalized method of moments. New York: Oxford University Press.Google Scholar
- Hanlon, W., & Miscio, A. (2014). Agglomeration: A dynamic approach. No. 20728. National Bureau of Economic Research.Google Scholar
- Hayashi, F. (2000). Econometrics. Princeton: Princeton University Press.Google Scholar
- Jacobs, J., 1969. The Economy of cities. Vintage, New York.Google Scholar
- Kline, P. M., & Moretti, E. (2013). Local economic development, agglomeration economies, and the big push: 100 years of evidence from the Tennessee Valley authority. No. 19293. National Bureau of Economic Research.Google Scholar
- Kolko, J. (1999). Can I Get Some Service Here? Information Technology, Service Industries, and the Future of Cities, SSRN eLibrary.Google Scholar
- Marshall, A. (1890). Principles of Economics. London: Macmillan.Google Scholar
- Overman, H.G., Puga, D. (2010). Labor pooling as a source of agglomeration: An empirical investigation. In Anonymous Agglomeration Economics (pp. 133–150). University of Chicago Press.Google Scholar
- Peakbagger.com. (2017). Graph of Metro Area Population Rank over Time. http://www.peakbagger.com/pbgeog/histmetropop.aspx#method. Accessed 27 Apr 2017.
- Porter, M.E., 1990. The competitive advantage of nations. Free Press, New York.Google Scholar
- Rosenthal, S.S., Strange, W.C. (2004). Chapter 49 Evidence on the nature and sources of agglomeration economies. In Vernon Henderson, J., Thisse, J.-F., (Ed.), Handbook of Regional and Urban Economics, vol. 4 (pp. 2119–2171). Elsevier.Google Scholar
- U. S. Census Bureau (2016). Data Withheld from Publication. http://www.census.gov/programs-surveys/cbp/technical-documentation/methodology/data-witheld-from-publication.html. Accessed 13 June 2016.
- U.S. Census Bureau (2017). Population and Housing Unit Estimates. https://www.census.gov/programssurveys/popest/data/tables.html. Accessed May 5, 2017.
- U.S. Dept. of Commerce, Bureau of the Census (2009). County Business Patterns (United States): U.S. Summary, State and County Data. Washington, DC: U.S. Dept. of Commerce, Bureau of the Census (producer). Ann Arbor: Inter-university Consortium for Political and Social Research (distributor). https://www.icpsr.umich.edu/icpsrweb/ICPSR/series/00022. Accessed 11 Jan 2016.
- U.S. Dept. of Commerce, Bureau of the Census (2013). County Business Patterns (United States): U.S. Summary, State and County Data. https://www.census.gov/programs-surveys/cbp.html. Accessed 18 Jan 2016.