Abstract: According to three census data in 1990, 2000 and 2010, we analyze the current situation of population aging in China and the relationship between the trends of aging and economic development. Then we use the spatial autocorrelation model and innovative economic autocorrelation model, including global and local Moran indices, Getis-ord local G, to investigate the spatial correlation and economic relevance of the regional population aging. The conclusions show that the spatial correlation and economic relevance are both significantly positive, and the aged-child ratio depends more on economic level than spatial location, which means economic development has greater influence on the regional differences of population aging than spatial location. Therefore, the government should make policies according to different economic level.

Key words: population aging, aged-child ratio, economic development, spatial autocorrelation, economic autocorrelation