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Florida R.,University of Toronto | Mellander C.,Prosperity Institute of Scandinavia | Gulden T.,George Mason University
Professional Geographer | Year: 2012

This research provides new data and insight on metropolitan areas worldwide. It summarizes new data, derived from satellite images of the world at night, to provide systematic estimates of the economic activity generated by cities and metropolitan areas worldwide. It identifies 681 global metropolitan areas each with more than 500,000 people. Taken as a whole, these large global metropolitan regions house 24 percent of the world's population but produce 60 percent of global output, measured as light emissions. Asia leads the way in global economic urbanization according to our findings, followed by North America, the emerging economies, and Europe. © 2012 Taylor and Francis Group, LLC.


Florida R.,University of Toronto | Mellander C.,Prosperity Institute of Scandinavia | Rentfrow P.J.,University of Cambridge
Regional Studies | Year: 2013

This research examines the factors that shape the happiness of cities, whereas much of the existent literature has focused on the happiness of nations. It is argued that in addition to income, which has been found to shape national-level happiness, human capital levels will play an important role in the happiness of cities. Metropolitan-level data from the 2009 Gallup-Healthways Survey are used to examine the effects of human capital on city happiness, controlling for other factors. The findings suggest that human capital plays the central role in the happiness of cities, outperforming income and every other variable. © 2013 Copyright Regional Studies Association.


Florida R.,University of Toronto | Mellander C.,Prosperity Institute of Scandinavia
Regional Studies | Year: 2016

Florida R. and Mellander C. The geography of inequality: difference and determinants of wage and income inequality across US metros, Regional Studies. This paper examines the geographic variation in wage inequality and income inequality across US metros. The findings indicate that the two are quite different. Wage inequality is closely associated with skills, human capital, technology and metro size, in line with the literature, but these factors are only weakly associated with income inequality. Furthermore, wage inequality explains only 15% of income inequality across metros. Income inequality is more closely associated with unionization, race and poverty. No relationship is found between income inequality and average incomes and only a modest relationship between it and the percentage of high-income households. © 2014 Regional Studies Association.


Mellander C.,Prosperity Institute of Scandinavia | Florida R.,University of Toronto
Annals of Regional Science | Year: 2011

While there is consensus on the importance of human capital to economic development, debate takes shape around two central issues. First, there is the question of how best to measure human capital. Second, there is debate over the factors that yield the geographic distribution of human capital in the first place. We find that occupational or "creative class" measures tend to outperform educational measures accounting for regional wages per capita across our sample of Swedish regions. In addition, universities, service diversity, and tolerance affect the distribution of human capital, though in different ways and thus play complementary roles in the geographic distribution of talent. © Springer-Verlag 2009.

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