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

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  • Soo, Kwok Tong

Abstract

We investigate Zipf's Law on the size distribution and Gibrat's Law on the growth of sub†national populations in China, India and Brazil. We reject Zipf's Law for India, but not for China and Brazil; a log normal distribution also fits Brazil well, but not China and India. Gibrat's Law holds for Brazil; that is, lagged population is the best predictor of current population in Brazil. In China, market potential is an important predictor of population growth, while in India both crop area and market potential are important. Our results show that there is a diversity of experiences across countries, and we speculate that this diversity maybe caused by differences in the characteristics of the three countries.

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Handle: RePEc:eee:paresc:v:93:y:2014:i:1:p:159-182
DOI: 10.1111/j.1435-5957.2012.00477.x
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JEL classification:

  • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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