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Zipf, Gibrat and geography: Evidence from China, India and Brazil

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  • Kwok Tong Soo

Abstract

type="main" xml:lang="es"> Investigamos la ley de Zipf sobre distribución de tamaños y la Ley de Gibrat sobre el crecimiento de poblaciones subnacionales en China, la India y el Brasil. Rechazamos la ley de Zipf para la India, pero no para China y el Brasil; la distribución logarítmica normal también se ajusta al Brasil, pero no a China o la India. La ley de Gibrat se ajusta al Brasil; es decir, la población rezagada es el mejor predictor de la población actual en el Brasil. En China, el potencial de mercado es un predictor importante del crecimiento de la población, mientras que en la India son importantes tanto la superficie de cultivo como el potencial de mercado. Nuestros resultados muestran que existe una diversidad de experiencias entre países, y se especula que esta diversidad está causada por diferencias en las características de los tres países.

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  • Kwok Tong Soo, 2014. "Zipf, Gibrat and geography: Evidence from China, India and Brazil," Papers in Regional Science, Wiley Blackwell, vol. 93(1), pages 159-181, March.
    • Handle: RePEc:bla:presci:v:93:y:2014:i:1:p:159-181
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    File URL: http://hdl.handle.net/10.1111/j.1435-5957.2012.00477.x
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