【摘要】This paper reconsiders the path of the growth of American cities since 1790 (when the first census was published). The null hypothesis for long-term growth is random growth. Evidence supporting random growth in city sizes is obtained by using panel unit root tests. Growth patterns different from the overall unit root trend detected are also extracted, with evidence found of high intra-distribution mobility (transition matrices) and ‘local’ mean-reverting behaviours (club convergence). The high mobility and the results of the clustering analysis are interpreted as signs of a sequential city growth pattern toward a random growth steady-state.

【关键词】City size; Urban growth; Random growth; Sequential city growth; Transition matrices; Club convergence

【文献来源】RAFAEL GONZaEZ-VAL; LUIS LANASPA.regional studies.2016(2)