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urban-biased policies persisted, preventing urbanization from occurringalongside industrialization. The artificial separation between rural andurban areas deprived rural migrants <strong>of</strong> the choice <strong>of</strong> permanently settlingin urban areas and led to the unique situation <strong>of</strong> under-urbanization inChina.Au and Henderson (2002) have used a production-function method tomodel and estimate urban agglomeration and optimal city size for 206cities in China. They found that the constraints <strong>of</strong> the hukou system onlabor mobility have resulted in sub-optimal size and under-agglomerationin Chinese cities, leading to significant losses in economic welfare. Themajority <strong>of</strong> Chinese cities are potentially undersized (falling below thelower bound on the 95 percent confidence interval <strong>of</strong> the size where theiroutput per worker would peak). Estimates show that increasing a city that is50 percent below its optimal size to its efficient population level will raiseoutput per worker by about 40 percent, indicating that the net benefits <strong>of</strong>clustering and agglomeration are considerable (World Bank 2005). Basedon 2002 World Bank data on 71 countries with a population <strong>of</strong> over 50million, Figure 6 illustrates how dramatically China’s level <strong>of</strong> urbanizationdeviates from the predicted level. 3Figure 6. Economic Growth and UrbanizationSource: World Bank, WDI Online Database, http://devdata.worldbank.org/dataonline/.2583The Chenery-Syrquin structuralist method (1975) regresses the share <strong>of</strong> urbanpopulation on logged per capita GDP (PPP) and its squares and produces a linear trend<strong>of</strong> prediction. The non-parametric mean adjusted smooth method shows an S-shapedcurve relationship between urbanization and changes in income level. Both methodsillustrate a similar dramatic change in the spatial distribution <strong>of</strong> population with thegrowth <strong>of</strong> per capita income.

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