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      Urban Scaling and the Production Function for Cities

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          Abstract

          The factors that account for the differences in the economic productivity of urban areas have remained difficult to measure and identify unambiguously. Here we show that a microscopic derivation of urban scaling relations for economic quantities vs. population, obtained from the consideration of social and infrastructural properties common to all cities, implies an effective model of economic output in the form of a Cobb-Douglas type production function. As a result we derive a new expression for the Total Factor Productivity (TFP) of urban areas, which is the standard measure of economic productivity per unit of aggregate production factors (labor and capital). Using these results we empirically demonstrate that there is a systematic dependence of urban productivity on city population size, resulting from the mismatch between the size dependence of wages and labor, so that in contemporary US cities productivity increases by about 11% with each doubling of their population. Moreover, deviations from the average scale dependence of economic output, capturing the effect of local factors, including history and other local contingencies, also manifest surprising regularities. Although, productivity is maximized by the combination of high wages and low labor input, high productivity cities show invariably high wages and high levels of employment relative to their size expectation. Conversely, low productivity cities show both low wages and employment. These results shed new light on the microscopic processes that underlie urban economic productivity, explain the emergence of effective aggregate urban economic output models in terms of labor and capital inputs and may inform the development of economic theory related to growth.

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          Author and article information

          Contributors
          Role: Editor
          Journal
          PLoS One
          PLoS ONE
          plos
          plosone
          PLoS ONE
          Public Library of Science (San Francisco, USA )
          1932-6203
          2013
          27 March 2013
          : 8
          : 3
          : e58407
          Affiliations
          [1 ]School of Sustainability, Arizona State University, Tempe, Arizona, United States of America
          [2 ]Santa Fe Institute, Santa Fe, New Mexico, United States of America
          [3 ]Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, United States of America
          MIT, United States of America
          Author notes

          Competing Interests: The authors have declared that no competing interests exist.

          Analyzed the data: JL LMAB DS GW. Contributed reagents/materials/analysis tools: JL LMAB DS. Wrote the paper: JL LMAB GW.

          Article
          PONE-D-12-28391
          10.1371/journal.pone.0058407
          3609801
          23544042
          05d13e5e-9852-4cde-8902-3959a61d7097
          Copyright @ 2013

          This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

          History
          : 15 September 2012
          : 6 February 2013
          Page count
          Pages: 10
          Funding
          This research was partially supported by the Rockefeller Foundation, the James S. McDonnell Foundation (grant no. 220020195), the National Science Foundation (grant no. 103522), the John Templeton Foundation (grant no. 15705) and by a gift from the Bryan J. and June B. Zwan Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
          Categories
          Research Article
          Mathematics
          Applied Mathematics
          Complex Systems
          Mathematical Economics
          Social and Behavioral Sciences
          Economics
          Macroeconomics
          Production Functions
          Microeconomics
          Urban Economics
          Economic Models
          Economic Geography

          Uncategorized
          Uncategorized

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