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Growth in Regions

Author Info

  • Nicola Gennaioli
  • Rafael LaPorta
  • Florencio Lopez-de-Silanes
  • Andrei Shleifer

Abstract

We use a newly assembled sample of 1,528 regions from 83 countries to compare the speed of per capita income convergence within and across countries.� Regional growth is shaped by similar factors as national growth, such as geography and human capital.� Regional convergence rate is about 2% per year, comparable to that between countries.�� Regional convergence is faster in richer countries, and countries with better capital markets.� A calibration of a neoclassical growth model suggests that significant barriers to factor mobility within countries are needed to account for the evidence.�

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Paper provided by Harvard University OpenScholar in its series Working Paper with number 73436.

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Handle: RePEc:qsh:wpaper:73436
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Other versions of this item:

  • Nicola Gennaioli & Rafael La Porta & Florencio Lopez de Silanes & Andrei Shleifer, 2013. "Growth in Regions," NBER Working Papers 18937, National Bureau of Economic Research, Inc.
Find related papers by JEL classification:
  • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
  • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
  • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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Cited by:

  1. Holger Breinlich & Gianmarco I. P. Ottaviano & Jonathan R. W. Temple, 2013. "Regional growth and regional decline," LSE Research Online Documents on Economics 51575, London School of Economics and Political Science, LSE Library.
  2. Christian Lessmann, 2011. "Spatial Inequality and Development - Is there an Inverted-U Relationship?," CESifo Working Paper Series 3622, CESifo Group Munich.

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