期刊
PAPERS IN REGIONAL SCIENCE
卷 93, 期 1, 页码 159-181出版社
WILEY
DOI: 10.1111/j.1435-5957.2012.00477.x
关键词
state populations; dynamic panel data models; Zipf's Law; Gibrat's Law
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据